Relevant bibliographies by topics / ComBat method

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'ComBat method'

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Published: 25 May 2024

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Journal articles on the topic "ComBat method"

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Kong, Weiren, Deyun Zhou, Zhen Yang, Kai Zhang, and Lina Zeng. "Maneuver Strategy Generation of UCAV for within Visual Range Air Combat Based on Multi-Agent Reinforcement Learning and Target Position Prediction." Applied Sciences 10, no. 15 (July 28, 2020): 5198. http://dx.doi.org/10.3390/app10155198.

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With the development of unmanned combat air vehicles (UCAVs) and artificial intelligence (AI), within visual range (WVR) air combat confrontations utilizing intelligent UCAVs are expected to be widely used in future air combats. As controlling highly dynamic and uncertain WVR air combats from the ground stations of the UCAV is not feasible, it is necessary to develop an algorithm that can generate highly intelligent air combat strategies in order to enable UCAV to independently complete air combat missions. In this paper, a 1-vs.-1 WVR air combat strategy generation algorithm is proposed using the multi-agent deep deterministic policy gradient (MADDPG). A 1-vs.-1 WVR air combat is modeled as a two-player zero-sum Markov game (ZSMG). A method for predicting the position of the target is introduced into the model in order to enable the UCAV to predict the target’s actions and position. Moreover, to ensure that the UCAV is not limited by the constraints of the basic fighter maneuver (BFM) library, the action space is considered to be a continuous one. At the same time, a potential-based reward shaping method is proposed in order to improve the efficiency of the air combat strategy generation algorithm. Finally, the efficiency of the air combat strategy generation algorithm and the intelligence level of the resulting strategy is verified through simulation experiments. The results show that an air combat strategy using target position prediction is superior to the one that does not use target position prediction.
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ALIEV, Azer, and Azad BAYRAMOV. "A METHOD FOR DETERMINING THE COMBAT POSSIBILITIES OF MILITARY UNITS." Review of the Air Force Academy 17, no. 2 (December 16, 2019): 21–28. http://dx.doi.org/10.19062/1842-9238.2019.17.2.3.

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ALIEV, Azer, and Azad BAYRAMOV. "THE DETERMINATION METHOD OF THE COMBAT POSSIBILITIES OF MILITARY UNIT." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 21, no. 1 (October 8, 2019): 53–60. http://dx.doi.org/10.19062/2247-3173.2019.21.29.

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Kostić, Mladen, Aca Jovanović, and Mitar Kovač. "Modeling of combat operations." Vojnotehnicki glasnik 71, no. 3 (2023): 529–58. http://dx.doi.org/10.5937/vojtehg71-43509.

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Introduction/purpose: The goal of the research in this paper is to present and evaluate the method of modeling operations by aggregating forces by simulating the battle process with Lanchester's equations. This method is the software basis of a certain number of programs used in NATO, in war simulations, and in the planning and analysis of operations. Its value is in understanding the consequences of decisions made with outcomes and results of combat actions. Methods: The case study of the well-known Operation Desert Storm gathered the necessary data on operational parameters and the way forces are used in battles. The obtained data were transformed into operational variables of the combat model using the force aggregation method, whose simulation was carried out using the method of differential Lanchester's equations (quadratic law). Results: By simulating the modeled operation, the parameters of the outcome of the conflict were obtained with numerical indicators of success, consumption of resources, etc. The results were analyzed and a certain correlation with the parameters of the real operation was determined, which enables the validation of the model. Conclusion: The partial validity of the model describing the conflict on a practical historical example from a case study was confirmed. There are objective limitations in the application of modeling of military operations and optimization of the use of forces. The value of this method is the possibility of a reliable strategic assessment of the adversary's military power at the strategic level.
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Li, Xiao, and Desheng Liu. "Modeling method of combat mission based on OODA loop." MATEC Web of Conferences 355 (2022): 02015. http://dx.doi.org/10.1051/matecconf/202235502015.

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Today, modern warfare has shifted from weapon-centric operations to network-centric system operations, which has led to a linear increase in the complexity of combat missions. When a commander faces a high-level mission, how to model the entire combat mission is a critical step, and it is also the basis for the generation of subsequent combat plans and combat command and control. Aiming at this problem, this paper proposes a task modeling method based on the OODA loop. This method first decomposes the mission task, and defines four meta tasks based on the OODA loop theory, and finally analyzes the meta tasks from the perspective of time and information. The mission relationship is defined, which can realize the modeling and formal description of the entire combat mission process, and provide support for the follow-up combat links.
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Teng, Fei, Yafei Song, Gang Wang, Peng Zhang, Liuxing Wang, and Zongteng Zhang. "A GRU-Based Method for Predicting Intention of Aerial Targets." Computational Intelligence and Neuroscience 2021 (November 2, 2021): 1–13. http://dx.doi.org/10.1155/2021/6082242.

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Since a target’s operational intention in air combat is realized by a series of tactical maneuvers, its state presents the characteristics of temporal and dynamic changes. Depending only on a single moment to take inference, the traditional combat intention recognition method is neither scientific nor effective enough. Based on a gated recurrent unit (GRU), a bidirectional propagation mechanism and attention mechanism are introduced in a proposed aerial target combat intention recognition method. The proposed method constructs an air combat intention characteristic set through a hierarchical approach, encodes into numeric time-series characteristics, and encapsulates domain expert knowledge and experience in labels. It uses a bidirectional gated recurrent units (BiGRU) network for deep learning of air combat characteristics and adaptively assigns characteristic weights using an attention mechanism to improve the accuracy of aerial target combat intention recognition. In order to further shorten the time for intention recognition and with a certain predictive effect, an air combat characteristic prediction module is introduced before intention recognition to establish the mapping relationship between predicted characteristics and combat intention types. Simulation experiments show that the proposed model can predict enemy aerial target combat intention one sampling point ahead of time based on 89.7% intent recognition accuracy, which has reference value and theoretical significance for assisting decision-making in real-time intention recognition.
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Ayoub, Haceini. "The relation between posture and fighting style: case of kung fu wushu (sanda)." MOJ Applied Bionics and Biomechanics 4, no. 2 (April 30, 2020): 42–49. http://dx.doi.org/10.15406/mojabb.2020.04.00132.

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The aim of this study is to analyze the relationship between initial posture (pre-contact posture) and combat style (boxing, foot and fight); thus, to establish a specific modeling. The descriptive analytical method of the video recordings of the combats organized with our sample (n=6) (2 of each combat style) was used to obtain the initial kinogram via the Dart Fish software. Inter-style postural similarities and extra-style postural differences were found, which helped us to put in place specific postural indices. Knowing the opponent's fighting style may betray some of his combat strategy, but can we hide these postural clues? Or more, can we give false clues (a lure) to deceive the opponent, which will make combat a rather mental challenge.
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Zhang, Xianbing, Guoqing Liu, Chaojie Yang, and Jiang Wu. "Research on Air Combat Maneuver Decision-Making Method Based on Reinforcement Learning." Electronics 7, no. 11 (October 27, 2018): 279. http://dx.doi.org/10.3390/electronics7110279.

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With the development of information technology, the degree of intelligence in air combat is increasing, and the demand for automated intelligent decision-making systems is becoming more intense. Based on the characteristics of over-the-horizon air combat, this paper constructs a super-horizon air combat training environment, which includes aircraft model modeling, air combat scene design, enemy aircraft strategy design, and reward and punishment signal design. In order to improve the efficiency of the reinforcement learning algorithm for the exploration of strategy space, this paper proposes a heuristic Q-Network method that integrates expert experience, and uses expert experience as a heuristic signal to guide the search process. At the same time, heuristic exploration and random exploration are combined. Aiming at the over-the-horizon air combat maneuver decision problem, the heuristic Q-Network method is adopted to train the neural network model in the over-the-horizon air combat training environment. Through continuous interaction with the environment, self-learning of the air combat maneuver strategy is realized. The efficiency of the heuristic Q-Network method and effectiveness of the air combat maneuver strategy are verified by simulation experiments.
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Fu, Zhaowang, Tengfei Zhang, Changhao Tan, and Yang Zhang. "Weapon Equipment Operational Index Evaluation Method Based on Cloud Model." Journal of Physics: Conference Series 2650, no. 1 (November 1, 2023): 012014. http://dx.doi.org/10.1088/1742-6596/2650/1/012014.

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Abstract In response to the evaluation requirements of weapon equipment combat test effectiveness index, a cloud model-based equipment combat test effectiveness index evaluation method was proposed to solve the problems of insufficient data utilization and low credibility of evaluation conclusions in the current effectiveness index evaluation. Based on the cloud model theory, the comprehensive evaluation model of the equipment combat test effectiveness index is designed to evaluate and analyze the effectiveness index, and the effectiveness and feasibility of the new method are verified by comparing cases, which can provide technical support for the improvement of equipment combat test effectiveness evaluation ability.
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Gao, Yangyang, Minjian Yu, Hanghang You, and Huiming Ji. "A New Method of Command and Guide the Unbalanced Distribution of Target." MATEC Web of Conferences 214 (2018): 03001. http://dx.doi.org/10.1051/matecconf/201821403001.

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In the process of air combat implementation, the real-time command and guidance of air pilot is the key element of air combat irreplaceable. In this paper, a multi-aircraft air combat command and guidance target allocation model is established based on the actual air combat situation. The unbalanced target allocation problem of multi-aircraft air combat command and guidance is studied by combining Hungarian algorithm and evolutionary Hungarian algorithm. Finally, two cases of increasing aircraft number and decreasing aircraft number are simulated and studied. Simulation results show that the method can shorten the computation time and ensure the overall command and guidance advantages of the target allocation scheme effectively.
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Dissertations / Theses on the topic "ComBat method"

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Diaz, Gabriel D. "Identifying the method for effective combat marksmanship training using site optics and packaged sensor feedback." Thesis, Monterey, California. Naval Postgraduate School, 2011. http://hdl.handle.net/10945/5607.

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Approved for public release; distribution is unlimited.
The Marine Corps is assessing how shooters train for Combat Marksmanship. An implementation of the Rifle Combat Optics (RCO) has been introduced into the Annual Rifle Qualification requirement. The question now is, How do coaches modify training to effectively instruct the shooters in firing with the RCO? This study provides feedback using the Split Shot Scope System as an aid in training doctrinal techniques for marksmanship on live fire ranges. The assessments, provided by current Marine Corps Marksmanship Instructors, highlight a necessity to using a device such as the Split Shot Scope System. In a postsurvey conducted in the study, responses provide a viable path to employing this diagnostic tool during live fire shooting and reporting the level of utility of this device. Added, in this study, is the use of a sensor package derived from concepts of the Indoor Simulated Marksmanship Trainer (ISMT), which will be discussed to provide the utility of such a device for improving and defining a useful technique for training shooters. While this may not be a complete fix to the dilemma, this study has provided an approach to understanding and deriving methods for effective marksmanship training and diagnosing fundamental problems more clearly.
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Jacobsen, Olov. "Autonomous Underwater Cable Suspended Dredging System : A method to combat the eutrophication of the Baltic Sea." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175883.

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An autonomous underwater cable suspended dredging system is proposed with the application of combating the excess of nutrients in the Baltic Sea. The focus of the thesis is on modelling and designing of the control system used to guide an end-effector supplied with a pump along a predetermined path. The end-effector is guided with the help of four cables that are each controlled by a servomotor. The buoyancy of the end-effector in combination with the cables keeps the end-effector a few meter above the seafloor. The sediment is collected with tubes hanging down from the end-effector. Due to the large dimensions of the system a combination of force control and position control passed through a force distribution algorithm is suggested. A simulation of the system shows promising results with ability to trace the predetermined path closely.
Ett förslag till ett autonomt vajerstyrt muddringssytem för undervattensbruk har tagits fram som ska används för att motverka övergödningen i östersjön. Uppsatsen fokuserar på modelleringen och designen av reglersystemet för att styra en plattform utrustad med en pump längs en förutbestämd sträcka. Plattformen styrs med hjälp av fyra vajrar som i sin tur styrs av varsin servomotor. Flytkraften hos plattformen i kombination med vajrarna håller plattformen några meter från havsbotten. Bottensediment pumpas upp genom slangar som hänger ner från plattformen. På grund av systemet storlek regleras styrningen av plattformen genom båda kraft och position samt använder en algoritm för att distribuera krafterna mellan vajrarna. En simulering av systemet har utförts och visar på god förmåga att reglera positionen av plattformen i relation till den förutbestämda sträckan.
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Li, Yingping. "Artificial intelligence and radiomics in cancer diagnosis." Electronic Thesis or Diss., université Paris-Saclay, 2022. http://www.theses.fr/2022UPASG053.

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L'intelligence artificielle (IA) est très utilisée pour le diagnostic et le traitement de données médicales, donnant lieu à la médecine personnalisée assistée par l'IA. Ce manuscrit se concentre sur la proposition et l'analyse de méthodes d'IA, notamment l'apprentissage profond et la radiomique, pour le diagnostic du cancer. Tout d'abord, une approche efficace de segmentation automatique est essentielle pour mettre en place une méthode de diagnostic par IA, car c'est un préalable à une analyse par radiomiques. Nous avons proposé une nouvelle approche pour la segmentation automatique des lésions dans les images échographiques, basée sur des données multicentrique et multipathologique présentant différents types de cancers. En introduisant la convolution de groupe, nous avons proposé un réseau U-net léger en mémoire sans sacrifier les performances de segmentation. Deuxièmement, nous nous sommes intéressés au traitement de données d'imagerie par résonance magnétique (IRM) pour prédire de manière non invasive le sous-type de gliome, défini par le grade de la tumeur, la mutation de l'isocitrate déshydrogénase (IDH) et la codélétion 1p/19q. Nous proposons une approche par radiomiques. La performance de prédiction s'est améliorée de manière significative en optimisant différents paramètres de notre modèle. Les caractéristiques des éléments radiomiques qui distinguent le mieux les sous-types de gliome ont également été analysées. Ce travail a non seulement fourni un pipeline qui fonctionne bien pour prédire le sous-type de gliome, mais il a également contribué au développement et à l'interprétabilité du modèle radiomique. Troisièmement, nous nous intéressons à la problématique de reproductibilité des approches basées sur les radiomiques. Nous avons donc étudié l'impact de différentes méthodes de prétraitement d'images et de méthodes d'harmonisation (y compris la normalisation de l'intensité et l'harmonisation ComBat) sur la reproductibilité des caractéristiques radiomiques en IRM. Nous avons montré que la méthode ComBat est essentielle pour éliminer la variation non biologique causée par les différents paramètres d'acquisition d'image (à savoir, les effets du scanner) et améliorer la reproductibilité des caractéristiques dans les études radiomiques. Nous avons illustré l'importance de la normalisation de l'intensité, car elle permet d'obtenir des images IRM plus comparables et des résultats plus robustes. Enfin, nous avons cherché à améliorer la méthode ComBat en modifiant l'hypothèse classique, à savoir que les effets du scanner sont différents pour différentes classes (comme les tumeurs et les tissus normaux). Bien que le modèle proposé donne des résultats encore décevants, sûrement en raison du manque de contraintes appropriées pour aider à identifier les paramètres, il a néanmoins ouvert la voie à des perspectives intéressantes
Artificial intelligence (AI) has been widely used in the research field of AI-assisted diagnosis, treatment, and personalized medicine. This manuscript focuses on the application of artificial intelligence methods including deep learning and radiomics in cancer diagnosis. First, effective image segmentation is essential for cancer diagnosis and further radiomics-based analysis. We proposed a new approach for automatic lesion segmentation in ultrasound images, based on a multicentric and multipathology dataset displaying different types of cancers. By introducing the group convolution, we proposed a lightweight U-net network without sacrificing the segmentation performance. Second, we processed the clinical Magnetic Resonance Imaging (MRI) images to noninvasively predict the glioma subtype as defined by the tumor grade, isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status. We proposed a radiomics-based approach. The prediction performance improved significantly by tuning different settings in the radiomics pipeline. The characteristics of the radiomic features that best distinguish the glioma subtypes were also analyzed. This work not only provided a radiomics pipeline that works well for predicting the glioma subtype, but it also contributed to the model development and interpretability. Third, we tackled the challenge of reproducibility in radiomics methods. We investigated the impact of different image preprocessing methods and harmonization methods (including intensity normalization and ComBat harmonization) on the radiomic feature reproducibility in MRI radiomics. The conclusion showed that ComBat method is essential to remove the nonbiological variation caused by different image acquisition settings (namely, scanner effects) and improve the feature reproducibility in radiomics studies. Meanwhile, intensity normalization is also recommended because it leads to more comparable MRI images and more robust harmonization results. Finally, we investigated improving the ComBat harmonization method by changing its assumption to a very common case that scanner effects are different for different classes (like tumors and normal tissues). Although the proposed model yielded disappointing results, surely due to the lack of enough proper constraints to help identify the parameters, it still paved the way for the development of new harmonization methods
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Nelson, Michael S. "Graphical methods for depicting combat units." Thesis, Monterey, California. Naval Postgraduate School, 1992. http://hdl.handle.net/10945/23913.

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Sällberg, Benny. "Applied methods to combat noise in human communication /." Karlskrona : Department of Telecommunication Systems, School of Engineering, Blekinge Institute of Technology, 2006. http://www.bth.se/fou/Forskinfo.nsf/Sok/d2c91ae695e01b8bc12571dc0069837c!OpenDocument.

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Keane, Therese Alison Mathematics &amp Statistics Faculty of Science UNSW. "Combat modelling with partial differential equations." Awarded By:University of New South Wales. Mathematics & Statistics, 2009. http://handle.unsw.edu.au/1959.4/43086.

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In Part I of this thesis we extend the Lanchester Ordinary Differential Equations and construct a new physically meaningful set of partial differential equations with the aim of more realistically representing soldier dynamics in order to enable a deeper understanding of the nature of conflict. Spatial force movement and troop interaction components are represented with both local and non-local terms, using techniques developed in biological aggregation modelling. A highly accurate flux limiter numerical method ensuring positivity and mass conservation is used, addressing the difficulties of inadequate methods used in previous research. We are able to reproduce crucial behaviour such as the emergence of cohesive density profiles and troop regrouping after suffering losses in both one and two dimensions which has not been previously achieved in continuous combat modelling. In Part II, we reproduce for the first time apparently complex cellular automaton behaviour with simple partial differential equations, providing an alternate mechanism through which to analyse this behaviour. Our PDE model easily explains behaviour observed in selected scenarios of the cellular automaton wargame ISAAC without resorting to anthropomorphisation of autonomous 'agents'. The insinuation that agents have a reasoning and planning ability is replaced with a deterministic numerical approximation which encapsulates basic motivational factors and demonstrates a variety of spatial behaviours approximating the mean behaviour of the ISAAC scenarios. All scenarios presented here highlight the dangers associated with attributing intelligent reasoning to behaviour shown, when this can be explained quite simply through the effects of the terms in our equations. A continuum of forces is able to behave in a manner similar to a collection of individual autonomous agents, and shows decentralised self-organisation and adaptation of tactics to suit a variety of combat situations. We illustrate the ability of our model to incorporate new tactics through the example of introducing a density tactic, and suggest areas for further research.
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Goza, Tracy H. "Combat Near-Death Experiences: An Exploratory, Mixed-Methods Study." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc84208/.

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This mixed-methods study’s purpose was a systematic comparison of contents and aftereffects of near-death experiences (NDEs) occurring in a variety of circumstances with those occurring in combat. They completed an online survey: a demographic questionnaire, the Near-Death Experience Scale, the Life Changes Inventory-Revised (LCI-R), and four narrative response items. Survey completers were 68 participants: 20 combat near-death experiencers (cNDErs) and 48 non-NDErs (nNDErs). The 29% of participants who met NDE Scale criterion for an NDE was comparable to NDE incidence findings from previous retrospective studies. For statistical analyses, significance was set at p < .05, and effect size (Cohen’s d) was calculated. Mean total NDE Scale scores were significantly lower for cNDErs than variety-of-circumstance NDErs from one of two comparable studies (t = 5.083, p < .0001, d = -1.26), possibly suggesting cNDEs may have “less depth” than other-variety NDEs. Regarding cNDE aftereffects, absence of previous LCI-R data made comparison impossible. Cronbach’s alpha analysis yielded acceptable reliability on the total scale and seven of nine subscales, a finding that matched Schneeberger’s (2010); however, factor analytic results did not support the hypothesized subscale structure of the LCI-R. Although cNDErs did not score significantly higher than nNDErs on the total scale or subscales after Bonferroni correction, results indicated a possible trend toward greater absolute changes (p = 0.02, d = 0.74) and spirituality (p = 0.02, d = 0.67) with the latter finding substantiated by narrative responses. Informal analysis of narrative responses yielded several themes.
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Generazio, Hòa. "Consistency of representation for disaggregation from constructive to virtual combat simulations." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/30773.

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Druga, David A. "Feasibility of combat hemostasis methods in civilian prehospital emergency medical care." Thesis, Boston University, 2012. https://hdl.handle.net/2144/12353.

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Thesis (M.A.)--Boston University
Uncontrolled hemorrhage is the leading cause of preventable traumatic death in both military and civilian populations. Hemorrhage often causes coagulopathy, which intensifies hemorrhage and complicates its treatment. The armed conflicts in Afghanistan and Iraq have allowed the military to test new hemostatic products and procedures in an effort to better control hemorrhage and reduce its associated morbidity and mortality rates. These methods were analyzed for efficacy and suitability in the civilian prehospital setting. Several invasive and non-invasive interventions were found to be beneficial. Despite centuries of controversy surrounding their use, emergency tourniquets can be safe, lifesaving tools for controlling severe extremity hemorrhage when adequate tourniquet designs are properly used. Hemostatic dressings are very useful as hemorrhage control adjuncts, and two products (Combat Gauze and Celox) are recommended for prehospital use based on their efficacy, mechanisms of action, ease of use, low cost, shelf-life, and other properties. Several pharmacological interventions were evaluated for prehospital use in addressing the anticoagulant and hyperfibrinolytic nature of trauma-associated coagulopathy. Recombinant activated Factor VII, commonly used in hemophiliac-related bleeding, does not improve outcomes in trauma patients. Tranexamic acid, which is commonly used to reduce bleeding in elective surgeries, has been demonstrated to significantly lower mortality in trauma patients with severe hemorrhage, especially when administered within three hours of injury. Recommendations were also made based on the results of military-developed damage control resuscitation protocols: restoration of perfusion is the best way to correct coagulopathy and prehospital fluid administration should be limited to restore perfusion and maintain systolic blood pressures of 80 to 90 mmHg. Hypothermia and hyperthermia are correlated with higher mortality in trauma patients, so temperature management was identified as a top priority in prehospital trauma care. Finally, the properties of stored blood were investigated in the setting of massive transfusion so that paramedics conducting interfacility transfers of these patients could be made aware of common complications to anticipate adverse events.
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Stafford, Charles A. "The relationship between operational graphics and battlefield success." Thesis, Monterey, Calif. : Naval Postgraduate School, 1990. http://handle.dtic.mil/100.2/ADA238338.

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Thesis (M.S. in Operations Research)--Naval Postgraduate School, September 1990.
Thesis Advisor(s): Read, Robert R. ; Dryer, David A. Second Reader: Whitaker, Lyn R. "September 1990." DTIC Descriptor(s): Army Training, Combat Information Centers, Organizations, Training, Battalion Level Organizations, Battlefields, Task Forces, Attack, Missions, Standards, Graphics, Military Training, Archives, Combat Forces, Discriminate Analysis, Doctrine, Frequency, Data Processing. DTIC Identifier(s): National Training Center, Army Operation. Author(s) subject terms: National Training Center, Deliberate Attack, Operational. Description based on title screen as viewed on Dec. 22, 2009. Includes bibliographical references (p. 82). Also available in print.
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Books on the topic "ComBat method"

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United States. Congress. Office of Technology Assessment., ed. Distributed interactive simulation of combat. Washington, DC: Office of Technology Assessment, Congress of the U.S., 1995.

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Shaw, Charles Houston. A psychometric method for determining optimum, tactical paths in combat decision making and analysis. Monterey, Calif: Naval Postgraduate School, 1989.

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Combat modeling. New York: Springer, 2009.

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Nelson, Michael S. Graphical methods for depicting combat units. Monterey, Calif: Naval Postgraduate School, 1992.

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Barr, Donald Roy. Evaluation of combat. Monterey, Calif: Naval Postgraduate School, 1991.

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January-, Tang Zaijiang 1976, Yu Yongtao 1974 February-, and Xu Haohua 1978 October-, eds. Zuo zhan fang zhen shi yan. Beijing: Guo fang gong ye chu ban she, 2013.

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Laboratory, Construction Engineering Research, ed. Representing the combat engineer function in land combat models: Lessons learned. [Champaign, IL]: US Army Corps of Engineers, Construction Engineering Research Laboratory, 1992.

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Joshi, Amit, Nilanjan Dey, and K. C. Santosh, eds. Intelligent Systems and Methods to Combat Covid-19. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6572-4.

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Goldsmith, Timothy E. Representing and training expertise in air combat maneuvering. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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H, Bell Herbert, Armstrong Laboratory (U.S.). Aircrew Training Research Division., and United States. Dept. of the Air Force., eds. Training benefits of interactive air combat simulation. Brooks Air Force Base, TX: Air Force Materiel Command, Armstrong Laboratory, Human Resources Directorate, 1997.

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Book chapters on the topic "ComBat method"

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Lyu, Xuezhi, Changjiang Liu, Zhige Xie, and Changpeng Xu. "An Analysis Method of Target Value Considering Combat Phases." In Lecture Notes in Electrical Engineering, 75–88. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9021-4_8.

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Wang, Kunfu, Ruolin Xing, Wei Feng, and Baiqiao Huang. "A Method of UAV Formation Transformation Based on Reinforcement Learning Multi-agent." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications, 187–95. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_20.

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AbstractIn the face of increasingly complex combat tasks and unpredictable combat environment, a single UAV can not meet the operational requirements, and UAVs perform tasks in a cooperative way. In this paper, an improved heuristic reinforcement learning algorithm is proposed to solve the formation transformation problem of multiple UAVs by using multi-agent reinforcement learning algorithm and heuristic function. With the help of heuristic back-propagation algorithm for formation transformation, the convergence efficiency of reinforcement learning is improved. Through the above reinforcement learning algorithm, the problem of low efficiency of formation transformation of multiple UAVs in confrontation environment is solved.
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Xu, Guojing, Shiyu Wang, Wen Jiang, Xinyang Deng, and Chan Huang. "Air Combat Target Threat Assessment Method on Belief Function Theory." In Lecture Notes in Electrical Engineering, 2237–48. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3305-7_181.

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Mao, Yiming, Qingwei Li, Jiafan He, Zhijie Xia, and Aiguo Fei. "Construction Method of Air Combat Agent Based on Reinforcement Learning." In Proceedings of 2022 10th China Conference on Command and Control, 98–110. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6052-9_10.

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Sun, Ming, Yalong Ma, and Huixian Tao. "Behavior Event Flow Analysis: A Method of Combat Simulation Creditability Evaluation." In AsiaSim 2012, 431–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34384-1_51.

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He, Hui, Zhihong Peng, Peiqiao Shang, Wenjie Wang, and Xiaoshuai Pei. "An End-to-End Intent Recognition Method for Combat Drone Swarm." In Communications in Computer and Information Science, 167–77. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7590-7_14.

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Zhang, Jinhao, Lingyun Lu, Guoxin Jiang, Chi Yuan, Haoqian Zhang, and Shaoqiu Zheng. "A Joint Method for Combat Intent Recognition and Key Information Extraction." In Data Mining and Big Data, 115–25. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-0844-4_9.

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Liu, Pin, and Yaofei Ma. "A Deep Reinforcement Learning Based Intelligent Decision Method for UCAV Air Combat." In Communications in Computer and Information Science, 274–86. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6463-0_24.

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Yang, Duan, and Yaofei Ma. "An Air Combat Decision-Making Method Based on Knowledge and Grammar Evolution." In Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 508–18. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2666-9_52.

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Wang, Changwu, Dongdong Zhan, Jiyu Qian, and Yusheng Zhang. "Research on Transient Thermal Design Method of Airborne Radar for Combat Requirements." In Proceedings of the Eighth Asia International Symposium on Mechatronics, 1270–81. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1309-9_123.

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Conference papers on the topic "ComBat method"

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Li, Fu, Chang Feihu, Xu Jin, and Zhou Yuandong. "Research of Air Combat Situation Assessment Method." In 2012 Third International Conference on Digital Manufacturing and Automation (ICDMA). IEEE, 2012. http://dx.doi.org/10.1109/icdma.2012.155.

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GHOSE, D., and U. PRASAD. "A computational method for bicriterion combat games." In Guidance, Navigation and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-2247.

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Fu, Li, Fuhuai Xie, Dongzheng Wang, and Guanglei Meng. "The overview for UAV Air-Combat Decision method." In 2014 26th Chinese Control And Decision Conference (CCDC). IEEE, 2014. http://dx.doi.org/10.1109/ccdc.2014.6852760.

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SMITH, J., and C. LEE. "The RAE combat aircraft multi-variate optimisation method." In Aircraft Design and Operations Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-2080.

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Wang, Yuxing, Gaolei Li, Zhen Zhang, and Chuan Lu. "A combat evaluation method based on index rules." In 2020 Chinese Automation Congress (CAC). IEEE, 2020. http://dx.doi.org/10.1109/cac51589.2020.9327002.

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Zhang, Renmeng, Di Shen, Fuping Yu, and Kai Wang. "Planning Method of Combat Aircraft Parachute Jump Area." In IoTAAI 2023: 2023 5th International Conference on Internet of Things, Automation and Artificial Intelligence. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3653081.3653174.

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Li, Zhanwu, Deyun Zhou, Xiaozhe Zhao, Haiyan Yang, Linyuan Gui, and Yizhe Chang. "Method for air combat formation optimization with uncertain information." In 2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2017. http://dx.doi.org/10.1109/iaeac.2017.8054333.

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Ji, Guang, Jian-guo Hao, Jia-long Gao, and Cheng-zhao Lu. "Digital Twin Modeling Method for Individual Combat Quadrotor UAV." In 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI). IEEE, 2021. http://dx.doi.org/10.1109/dtpi52967.2021.9540131.

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Wang, Ge, Chen Qian, Kaiyan Cui, Xiaofeng Shi, Han Ding, Wei Xi, Jizhong Zhao, and Jinsong Han. "A Universal Method to Combat Multipaths for RFID Sensing." In IEEE INFOCOM 2020 - IEEE Conference on Computer Communications. IEEE, 2020. http://dx.doi.org/10.1109/infocom41043.2020.9155240.

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Zhu, Gang, Jiancheng Zheng, Zhihuai Li, Chunhe Chang, and Hua Liu. "Combat capability graphical description method by ontology extension UML." In 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), edited by Paulo Batista and Yudong Zhang. SPIE, 2023. http://dx.doi.org/10.1117/12.2692449.

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Reports on the topic "ComBat method"

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Bessemer, David W. A Combat Gaming Method for Tank Platoon Leader Training: TRAX 1. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada170950.

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Omondi Okwany, Clifford Collins. Territoriality as a Method for Understanding Armed Groups in Kenya and Strengthening Policy Responses. RESOLVE Network, January 2023. http://dx.doi.org/10.37805/pn2023.1.lpbi.

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This policy note explores the characteristics of community-based armed groups (CBAGs) unique to the Kenyan context through a comparison of local CBAGs with other nonstate armed groups, particularly violent extremist organizations (VEOs). In doing so, it introduces the concept of territoriality—the degree to which government and security agents are able to monopolize political, social, and security control of spaces—and suggests that both CBAGs and VEOs are most likely to thrive in Kenya under conditions of semi-territoriality, where state authority sometimes shifts fluidly from strong to weak depending on capacity or interest. To combat the rise of VEOs it recommends community-oriented policing as a devolved security strategy, strengthening relations between civil society and the police through the Police Reforms Working Group Kenya (PRWGK), helping to monitor and evaluate the police service. Additionally, mapping CBAGs and VEOs through clan structures is a community-oriented strategy that helps strengthen territoriality and counter semi-territoriality.
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Matthews, Gerald, Joel S. Warm, and David Washburn. Diagnostic Methods for Predicting Performance Impairment Associated With Combat Stress. Fort Belvoir, VA: Defense Technical Information Center, December 2004. http://dx.doi.org/10.21236/ada430538.

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Hagen, Nathan A., Derek S. Sabatke, James F. Scholl, Peter A. Jansson, Weinong W. Chen, Eustace L. Dereniak, and David T. Sass. Compact Methods for Measuring Stress Birefringence. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada456972.

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Cianciolo, Anna T., Brian T. Crabb, Peter Schaefer, Steven Jackson, and Jeff Grover. Sustainment of Individual and Collective Future Combat Skills: Modeling and Research Methods. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada514991.

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Yagci Sokat, Kezban. Understanding the Role of Transportation in Human Trafficking in California. Mineta Transportation Institute, November 2022. http://dx.doi.org/10.31979/mti.2022.2108.

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Human trafficking, a form of modern slavery, is the recruitment, transport, and/or transfer of persons using force, fraud, or coercion to exploit them for acts of labor or sex. According to the International Labor Organization, human trafficking is the fastest growing organized crime with approximately $150 billion in annual profits and 40.3 million individuals trapped in slave-like conditions. While it is not compulsory to involve transportation for human trafficking, the transportation industry plays a critical role in combating human trafficking as traffickers often rely on the transportation system to recruit, move, or transfer victims. This multi-method study investigates the role of transportation in combatting human trafficking in California by conducting a survey followed up with semi-structured in-depth interviews with key stakeholders. The expert input is supplemented with labor violations and transit accessibility analysis. Experts emphasize the importance of education, training, and awareness efforts combined with partnership, data, and analysis. Screening transportation industry personnel for human trafficking is another step that the industry can take to combat this issue. Particularly, sharing perpetrator information and transportation related trends among transportation modalities and local groups could help all anti-trafficking practitioners. In addition, the transportation industry can support the victims and survivors in their exit attempts and post/exit life. Examples of this support include serving as a safe haven, and providing transportation to essential services. Transportation should ensure that all of these efforts are survivor-centric, inclusive for all types of trafficking, and tailored to the needs of the modality, population, and location.
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Orlandic, R., and J. L. Pfaltz. Compact 0-complete trees: A new method for searching large files. Office of Scientific and Technical Information (OSTI), January 1988. http://dx.doi.org/10.2172/6231696.

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Smooke, Mitchell D., and Marshall Long. Development of Implicit Compact Methods for Chemically Reacting Flows. Fort Belvoir, VA: Defense Technical Information Center, February 2009. http://dx.doi.org/10.21236/ada495452.

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Mason, John Jeffrey, Richard C. Ormesher, and Vivian Guzman Kammler. Novel methods for ultra-compact ultra-low-power communications. Office of Scientific and Technical Information (OSTI), March 2004. http://dx.doi.org/10.2172/888572.

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Baader, Franz, and Cesare Tinelli. Combining Equational Theories Sharing Non-Collapse-Free Constructors. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.103.

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In a previous work, we describe a method to combine decision procedures for the word problem for theories sharing constructors. One of the requirements of our combination method is that constructors be collapse-free. This paper removes that requirement by modifying the method so that it applies to non-collapse-free constructors as well. This broadens the scope of our combi- nation results considerably, for example in the direction of equational theories corresponding to modal logics.
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