Littérature scientifique sur le sujet « Imagerie intelligente »
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Articles de revues sur le sujet "Imagerie intelligente"
Saigre-Tardif, Chloé, Rashid Faqiri, Hanting Zhao, Lianlin Li et Philipp del Hougne. « Intelligent meta-imagers : From compressed to learned sensing ». Applied Physics Reviews 9, no 1 (mars 2022) : 011314. http://dx.doi.org/10.1063/5.0076022.
Texte intégralSun, Roger, Eric Deutsch et Laure Fournier. « Intelligence artificielle et imagerie médicale ». Bulletin du Cancer 109, no 1 (janvier 2022) : 83–88. http://dx.doi.org/10.1016/j.bulcan.2021.09.009.
Texte intégralCaicedo Caicedo, Julio César, et José Nelson Pérez Castillo. « An intelligent web service for classifying digital imagery by using rough sets ». Ingeniería e Investigación 30, no 1 (1 janvier 2010) : 45–51. http://dx.doi.org/10.15446/ing.investig.v30n1.15206.
Texte intégralKapilaratne, R. G. C. J., et S. Kakuta. « TOWARDS HIGH RESOLUTION FEATURE MAPPNG WITH SENTINEL-2 IMAGES ». ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-1/W1-2023 (5 décembre 2023) : 137–44. http://dx.doi.org/10.5194/isprs-annals-x-1-w1-2023-137-2023.
Texte intégralFoucart, Jean-Michel, Augustin Chavanne et Jérôme Bourriau. « Intelligence artificielle : le futur de l’Orthodontie ? » Revue d'Orthopédie Dento-Faciale 53, no 3 (septembre 2019) : 281–94. http://dx.doi.org/10.1051/odf/2019026.
Texte intégralMakendran, C., M. Karthik, S. M. Jakir Hasan, M. Harivignesh et G. Varun Raahul. « Designing an Intelligent Pavement Maintenance and Management System using Drone Imagery and Artificial Intelligence ». MATEC Web of Conferences 393 (2024) : 02005. http://dx.doi.org/10.1051/matecconf/202439302005.
Texte intégralWang, Hui, Hong Chang Ke et Li Juan Zhang. « Calculus Method Research of Imagery Conceptual Network Based on Revision Calculus ». Advanced Materials Research 317-319 (août 2011) : 937–41. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.937.
Texte intégralLabazanova, Saida K., Timur G. Aygumov et Marat Kh Mursaliev. « Issues with generative artificial intelligence tools ». ITM Web of Conferences 59 (2024) : 04007. http://dx.doi.org/10.1051/itmconf/20245904007.
Texte intégralDAVIES, PHILIP H. J. « Imagery in the UK : Britain's troubled imagery intelligence architecture ». Review of International Studies 35, no 4 (octobre 2009) : 957–69. http://dx.doi.org/10.1017/s0260210509990386.
Texte intégralKunda, Maithilee. « AI, visual imagery, and a case study on the challenges posed by human intelligence tests ». Proceedings of the National Academy of Sciences 117, no 47 (23 novembre 2020) : 29390–97. http://dx.doi.org/10.1073/pnas.1912335117.
Texte intégralThèses sur le sujet "Imagerie intelligente"
Pincet, Lancelot. « Dynamic excitation systems for quantitative and super-resolved fluorescence microscopy ». Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPASP033.
Texte intégralSingle Molecule Localization Microscopy (SMLM) is a super-resolution optical technique enabling the observation of biological samples labeled with fluorescent dyes at resolutions well below the diffraction limit. The quality of this imaging heavily relies on the ability to observe molecules individually, requiring precise control of fluorescent dye photophysics for them to emit with a high sparsity in both space and time. Until now, dynamic excitation methods aimed to produce uniform illumination over large fields (200 um x 200 um). However, these types of illumination encounter difficulties in imaging dense biological samples, such as neurons, where the diversity in dye density prevented the generation of a uniform single molecule regime across the entire observed area. To address this issue, I propose a new approach that dynamically adjusts illumination based on sample density. This method combines a novel tri-dynamic optical excitation system with a feedback loop based on density analysis, benefiting from an in-depth study of fluorescent dye photophysics. The intelligent imaging system, where the excitation pattern varies over time, integrates a 2D scanning system, a variable zoom system, and a laser. This allows for the generation of a variety of dynamically changing illumination patterns to adapt to the observed sample and the density of locally detected localizations. This new approach has been validated on various biological samples. Additionally, the dynamic excitation system has also been explored for live samples imaging techniques, such as MSIM or FRAP
Filali, Wassim. « Détection temps réel de postures humaines par fusion d'images 3D ». Toulouse 3, 2014. http://thesesups.ups-tlse.fr/3088/.
Texte intégralThis thesis is based on a computer vision research project. It is a project that allows smart cameras to understand the posture of a person. It allows to know if the person is alright or if it is in a critical situation or in danger. The cameras should not be connected to a computer but embed all the intelligence in the camera itself. This work is based on the recent technologies like the Kinect sensor of the game console. This sensor is a depth sensor, which means that the camera can estimate the distance to every point in the scene. Our contribution consists on combining multiple of these cameras to have a better posture reconstruction of the person. We have created a dataset of images to teach the program how to recognize postures. We have adjusted the right parameters and compared our program to the one of the Kinect
Burbano, Andres. « Système de caméras intelligentes pour l’étude en temps-réel de personnes en mouvement ». Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS139/document.
Texte intégralWe propose a detection and trackingsystem of people moving in large spacessystem. Our solution is based on a network ofsmart cameras capable of retrievingspatiotemporal information from the observedpeople. These smart cameras are composed bya 3d sensor, an onboard system and acommunication and power supply system. Weexposed the efficacy of the overhead positionto decreasing the occlusion and the scale'svariation.Finally, we carried out a study on the use ofspace, and a global trajectories analysis ofrecovered information by our and otherssystems, able to track people in large andcomplex spaces
Panaïotis, Thelma. « Distribution du plancton à diverses échelles : apport de l'intelligence artificielle pour l'écologie planctonique ». Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS155.
Texte intégralAs the basis of oceanic food webs and a key component of the biological carbon pump, planktonic organisms play major roles in the oceans. However, their small-scale distribution − governed by biotic interactions between organisms and interactions with the physico-chemical properties of the water masses in their immediate environment − are poorly described in situ due to the lack of suitable observation tools. New instruments performing high resolution imaging in situ in combination with machine learning algorithms to process the large amount of collected data now allows us to address these scales. The first part of this work focuses on the methodological development of two automated pipelines based on artificial intelligence. These pipelines allowed to efficiently detect planktonic organisms within raw images, and classify them into taxonomical or morphological categories. Then, in a second part, numerical ecology tools have been applied to study plankton distribution at different scales, using three different in situ imaging datasets. First, we investigated the link between plankton community and environmental conditions at the global scale. Then, we resolved plankton and particle distribution across a mesoscale front, and highlighted contrasted periods during the spring bloom. Finally, leveraging high frequency in situ imaging data, we investigated the fine-scale distribution and preferential position of Rhizaria, a group of understudied, fragile protists, some of which are mixotrophic. Overall, these studies demonstrate the effectiveness of in situ imaging combined with artificial intelligence to understand biophysical interactions in plankton and distribution patterns at small-scale
Green, Steven Paul. « Intelligent Person Behaviour Analysis in Low Resolution Beach Video Imagery ». Thesis, Griffith University, 2011. http://hdl.handle.net/10072/366650.
Texte intégralThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
Science, Environment, Engineering and Technology
Full Text
Vétil, Rebeca. « Artificial Intelligence Methods to Assist the Diagnosis of Pancreatic Diseases in Radiology ». Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAT014.
Texte intégralWith its increasing incidence and its five- year survival rate (9%), pancreatic cancer could be- come the third leading cause of cancer-related deaths by 2025. These figures are primarily attributed to late diagnoses, which limit therapeutic options. This the- sis aims to assist radiologists in diagnosing pancrea- tic cancer through artificial intelligence (AI) tools that would facilitate early diagnosis. Several methods have been developed. First, a method for the automatic segmentation of the pancreas on portal CT scans was developed. To deal with the specific anatomy of the pancreas, which is characterized by an elonga- ted shape and subtle extremities easily missed, the proposed method relied on local sensitivity adjust- ments using geometrical priors. Then, the thesis tack- led the detection of pancreatic lesions and main pan- creatic duct (MPD) dilatation, both crucial indicators of pancreatic cancer. The proposed method started with the segmentation of the pancreas, the lesion and the MPD. Then, quantitative features were extracted from the segmentations and leveraged to predict the presence of a lesion and the dilatation of the MPD. The method was evaluated on an external test cohort comprising hundreds of patients. Continuing towards early diagnosis, two strategies were explored to de- tect secondary signs of pancreatic cancer. The first approach leveraged large databases of healthy pan- creases to learn a normative model of healthy pan- creatic shapes, facilitating the identification of anoma- lies. To this end, volumetric segmentation masks were embedded into a common probabilistic shape space, enabling zero-shot and few-shot abnormal shape de- tection. The second approach leveraged two types of radiomics: deep learning radiomics (DLR), extracted by deep neural networks, and hand-crafted radiomics (HCR), derived from predefined formulas. The propo- sed method sought to extract non-redundant DLR that would complement the information contained in the HCR. Results showed that this method effectively de- tected four secondary signs of pancreatic cancer: ab- normal shape, atrophy, senility, and fat replacement. To develop these methods, a database of 2800 exa- minations has been created, making it one of the lar- gest for AI research on pancreatic cancer
Aberni, Yassir. « Algorithmes de reconnaissance biométrique multispectrale par l’empreinte et les veines palmaires ». Electronic Thesis or Diss., Paris 8, 2021. http://www.theses.fr/2021PA080083.
Texte intégralBiometrics is increasingly becoming an important technology to improve security and bring solutions to services requiring authentication and/or data protection. Several biometric traits have been studied and used for biometric recognition, such as palm prints. Although many recognition methods based on the palm print have been proposed and successfully applied; where most of them generally uses only the images acquired in natural light. It is difficult to further improve the accuracy of recognition based on these palm print images due to limitations related to natural light, including the ability of identity theft attacks, degradation of palm prints over time due to several factors such as environment, ethnicity or age. Multi-spectral imaging has therefore been used to overcome these limitations. In this thesis, we propose novel biometric recognition algorithms based on physiological modalities not visible to the naked eye, called hidden, from multi-spectral imaging such as palm veins. To this end, we have developed novel biometric recognition methods using palm print and palm veins based on competitive coding using a local multiscale binary model applied on images extracted with an an ant colony optimization technique. Novel matching approaches for decision based on divergence and distance metrics have been proposed to quantify the similarity between feature images. We also proposed another novel method based on a convolutional neural network by adapting the ZFNet architecture. The experiments carried out and the comparative study with the state-of-the art, show the effectiveness of our different proposed methods for the identification and verification modes
Alves, de Lima Danilo. « Sensor-based navigation applied to intelligent electric vehicles ». Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2191/document.
Texte intégralAutonomous navigation of car-like robots is a large domain with several techniques and applications working in cooperation. It ranges from low-level control to global navigation, passing by environment perception, robot localization, and many others in asensor-based approach. Although there are very advanced works, they still presenting problems and limitations related to the environment where the car is inserted and the sensors used. This work addresses the navigation problem of car-like robots based on low cost sensors in urban environments. For this purpose, an intelligent electric vehicle was equipped with vision cameras and other sensors to be applied in three big areas of robot navigation : the Environment Perception, Local Navigation Control, and Global Navigation Management. In the environment perception, a 2D and 3D image processing approach was proposed to segment the road area and detect the obstacles. This segmentation approach also provides some image features to local navigation control.Based on the previous detected information, a hybrid control approach for vision based navigation with obstacle avoidance was applied to road lane following. It is composed by the validation of a Visual Servoing methodology (deliberative controller) in a new Image-based Dynamic Window Approach (reactive controller). To assure the car’s global navigation, we proposed the association of the data from digital maps in order tomanage the local navigation at critical points, like road intersections. Experiments in a challenging scenario with both simulated and real experimental car show the viabilityof the proposed methodology
Rebaud, Louis. « Whole-body / total-body biomarkers in PET imaging ». Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST047.
Texte intégralThis thesis in partnership with Institut Curie and Siemens Healthineers explores the use of Positron Emission Tomography (PET) for cancer prognosis, focusing on non-Hodgkin lymphomas, especially follicular lymphoma (FL) and diffuse large B cell lymphoma (DLBCL). Assuming that current biomarkers computed in PET images overlook significant information, this work focuses on the search for new biomarkers in whole-body PET imaging. An initial manual approach validated a previously identified feature (tumor fragmentation) and explored the prognostic significance of splenic involvement in DLBCL, finding that the volume of splenic involvement does not further stratify patients with such an involvement. To overcome the empirical limitations of the manual search, a semi-automatic feature identification method was developed. It consisted in the automatic extraction of thousands of candidate biomarkers and there subsequent testing by a selection pipeline design to identify features quantifying new prognostic information. The selected biomarkers were then analysed and re-encoded in simpler and more intuitive ways. Using this approach, 22 new image-based biomarkers were identified, reflecting biological information about the tumours, but also the overall health status of the patient. Among them, 10 features were found prognostic of both FL and DLBCL patient outcome. The thesis also addresses the challenge of using these features in clinical practice, proposing the Individual Coefficient Approximation for Risk Estimation (ICARE) model. This machine learning model, designed to reduce overfitting and improve generalizability, demonstrated effectiveness in the HECKTOR 2022 challenge for predicting outcomes from head and neck cancer patients [18F]-PET/CT scans. This model was also found to overfit less than other machine learning methods on an exhaustive comparison using a benchmark of 71 medical datasets. All these developments were implemented in a software extension of a prototype developed by Siemens Healthineers
Christie, Marc. « Spécification de trajectoires de caméra sous contraintes ». Nantes, 2003. http://www.theses.fr/2003NANT2116.
Texte intégralLivres sur le sujet "Imagerie intelligente"
United States. Defense Intelligence Agency, dir. Imagery analysts : Directorate for Imagery Exploitation, Directorate for Foreign Intelligence. [Washington, D.C.] : Defense Intelligence Agency, 1987.
Trouver le texte intégralBeaulieu, Danie. Techniques d'Impact pour grandir : Illustrations pour développer l'intelligence émotionnelle chez les adultes. 3e éd. Le Gardeur, Québec : Impact!, 2006.
Trouver le texte intégralTechniques d'Impact pour grandir : Illustrations pour développer l'intelligence émotionnelle chez les enfants. 4e éd. Le Gardeur, Québec : Impact!, 2006.
Trouver le texte intégralTechniques d'Impact pour grandir : Illustrations pour développer l'intelligence émotionnelle chez les enfants. Lac Beauport, Québec : Éditions Académie impact, 2000.
Trouver le texte intégralTechniques d'impact pour grandir : Des illustrations pour développer l'intelligence émotionnelle chez les enfants. Montréal : Éditions Québecor, 2010.
Trouver le texte intégralLefébure, Francis. Phosphenism : The art of visualisation developing memory and intelligence. Church Crookham, U.K : Psychotechnic Publications, 1990.
Trouver le texte intégralWendy, Seider, et Goddard Space Flight Center, dir. Declassified Intelligence Satellite Photography (DISP) coverage of Antarctica. Greenbelt, Md : National Aeronautics and Space Administration, Goddard Space Flight Center, 1998.
Trouver le texte intégralGreat Britain. Parliament. House of Commons. Defence Committee. Fifth Report [session 1999-2000] : The Defence Geographic and Intelligence Agency : report and proceedings of the Committee with minutes of evidence and appendices. London : The Stationery Office, 2000.
Trouver le texte intégralGreat Britain. Parliament. House of Commons. Defence Committee. Fifth report : Procurement of major defence equipment : report and appendices, together with the proceedings of the Committee, minutes of evidence and appendices. London : H.M.S O., 1988.
Trouver le texte intégral1958-, Poe Richard, dir. The Einstein factor : A proven new method for increasing your intelligence. Rocklin, CA : Prima Pub., 1996.
Trouver le texte intégralChapitres de livres sur le sujet "Imagerie intelligente"
Kok, Vernon, Nontokozo Mpofu et Micheal Olusanya. « Severity Estimation of Potholes in Imagery Using Convolutional Neural Networks ». Dans Artificial Intelligence in Intelligent Systems, 658–72. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77445-5_60.
Texte intégralRosenbloom, Paul S. « Extending Mental Imagery in Sigma ». Dans Artificial General Intelligence, 272–81. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35506-6_28.
Texte intégralChouhan, Avinash, Dibyajyoti Chutia et P. L. N. Raju. « Deep Learning Applications on Very High-Resolution Aerial Imagery ». Dans Artificial Intelligence, 61–80. Boca Raton : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003140351-8.
Texte intégralChouhan, Avinash, Dibyajyoti Chutia et P. L. N. Raju. « Deep Learning Applications on Very High-Resolution Aerial Imagery ». Dans Artificial Intelligence, 61–80. Boca Raton : Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003140351-8.
Texte intégralKaur, Satwinder, Bhawna Goyal et Ayush Dogra. « Denoising Hyperspectral Imageries with Split-Bregman Iteration Scheme ». Dans Intelligent Systems Design and Applications, 986–1001. Cham : Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96308-8_92.
Texte intégralNguyen, Phuoc, Dat Tran, Xu Huang et Wanli Ma. « Motor Imagery EEG-Based Person Verification ». Dans Advances in Computational Intelligence, 430–38. Berlin, Heidelberg : Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38682-4_46.
Texte intégralWalker, James R. « The Rise of GEOINT : Technology, Intelligence and Human Rights ». Dans Visual Imagery and Human Rights Practice, 67–88. Cham : Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75987-6_5.
Texte intégralZhang, Yan, et Yanwei Ju. « Spatially Variant Mixtures of Multiscale ARMA Model for SAR Imagery Segmentation ». Dans Artificial Intelligence and Computational Intelligence, 398–404. Berlin, Heidelberg : Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23887-1_50.
Texte intégralZhao, Liaoying, Yinhe Shen et Xiaorun Li. « Kernel Oblique Subspace Projection Approach for Target Detection in Hyperspectral Imagery ». Dans Artificial Intelligence and Computational Intelligence, 422–31. Berlin, Heidelberg : Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16530-6_50.
Texte intégralKim, Shin Hyoung, Jong Whan Jang, Seung Phil Lee et Jae Ho Choi. « Accurate Contouring Technique for Object Boundary Extraction in Stereoscopic Imageries ». Dans Computational Intelligence and Security, 869–74. Berlin, Heidelberg : Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11596981_127.
Texte intégralActes de conférences sur le sujet "Imagerie intelligente"
Plebe, Alice, Riccardo Donà, Gastone Pietro Papini Rosati et Mauro Da Lio. « Mental Imagery for Intelligent Vehicles ». Dans 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007657500002179.
Texte intégralPlebe, Alice, Riccardo Donà, Gastone Pietro Papini Rosati et Mauro Da Lio. « Mental Imagery for Intelligent Vehicles ». Dans 5th International Conference on Vehicle Technology and Intelligent Transport Systems. SCITEPRESS - Science and Technology Publications, 2019. http://dx.doi.org/10.5220/0007657500430051.
Texte intégralBindela, H. V. R., K. C. Yedubati, R. R. Gosula, E. Snir et B. Rahmani. « Heart Failure Prediction Using Artificial Intelligence Methods ». Dans 2023 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2023. http://dx.doi.org/10.1109/aipr60534.2023.10440664.
Texte intégralNoboa, Nicholas S., John W. Von Holle, Paul A. Brown et John M. Irvine. « Utilization of Artificial Intelligence in Automated Image Analysis ». Dans 2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2022. http://dx.doi.org/10.1109/aipr57179.2022.10092210.
Texte intégralEsposito, Marco, et Alessandro Zuccaro Marchi. « HyperCube the intelligent hyperspectral imager ». Dans 2015 IEEE Metrology for Aerospace (MetroAeroSpace). IEEE, 2015. http://dx.doi.org/10.1109/metroaerospace.2015.7180716.
Texte intégralMadison, Richard, et Yuetian Xu. « Tactical geospatial intelligence from full motion video ». Dans 2010 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2010). IEEE, 2010. http://dx.doi.org/10.1109/aipr.2010.5759699.
Texte intégralEndsley, William R. « General Imagery Intelligence Training System (GIITS) ». Dans 29th Annual Technical Symposium, sous la direction de Paul A. Henkel et Francis R. LaGesse. SPIE, 1985. http://dx.doi.org/10.1117/12.949637.
Texte intégralSpecht, David, Charles Johnson, Nidhal Bouaynaya et Ghulam Rasool. « Intelligent Helipad Detection from Satellite Imagery ». Dans Vertical Flight Society 77th Annual Forum & Technology Display. The Vertical Flight Society, 2021. http://dx.doi.org/10.4050/f-0077-2021-16856.
Texte intégralHuguenin, Robert L., Michael S. Bouchard, Mo-Hwa Wang et Mark A. Karaska. « Automated intelligent distillation of hyperspectral imagery ». Dans SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, sous la direction de Michael R. Descour et Sylvia S. Shen. SPIE, 1999. http://dx.doi.org/10.1117/12.366269.
Texte intégralWildenstein, Diego, et Alan D. George. « Towards Intelligent Compression of Hyperspectral Imagery ». Dans 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). IEEE, 2021. http://dx.doi.org/10.1109/conecct52877.2021.9622585.
Texte intégralRapports d'organisations sur le sujet "Imagerie intelligente"
McAuley, Cheryl D. STRATEGIC IMPLICATIONS OF IMAGERY INTELLIGENCE. Fort Belvoir, VA : Defense Technical Information Center, mars 2005. http://dx.doi.org/10.21236/ada432777.
Texte intégralStafford, Ann E. Reserve Component Contribution to Imagery Intelligence. Fort Belvoir, VA : Defense Technical Information Center, mai 2003. http://dx.doi.org/10.21236/ada416241.
Texte intégralHofer, Martin, Tomas Sako, Arturo Martinez Jr., Mildred Addawe, Joseph Bulan, Ron Lester Durante et Marymell Martillan. Applying Artificial Intelligence on Satellite Imagery to Compile Granular Poverty Statistics. Asian Development Bank, décembre 2020. http://dx.doi.org/10.22617/wps200432-2.
Texte intégralCook, Paul J. Imagery and Measurement and Signatures Intelligence Support to Military Operations on Urbanized Terrain. Fort Belvoir, VA : Defense Technical Information Center, janvier 2003. http://dx.doi.org/10.21236/ada419915.
Texte intégralEyes, Douglas J. The National Imagery and Mapping Agency : Harnessing Geographic and Imagery Intelligence in Support of the 21st Century Joint Force Commander. Fort Belvoir, VA : Defense Technical Information Center, février 1997. http://dx.doi.org/10.21236/ada324984.
Texte intégralSAINI, RAVINDER, AbdulKhaliq Alshadid et Lujain Aldosari. Investigation on the application of artificial intelligence in prosthodontics. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, décembre 2022. http://dx.doi.org/10.37766/inplasy2022.12.0096.
Texte intégralThegeya, Aaron, Thomas Mitterling, Arturo Martinez Jr, Joseph Albert Niño Bulan, Ron Lester Durante et Jayzon Mag-atas. Application of Machine Learning Algorithms on Satellite Imagery for Road Quality Monitoring : An Alternative Approach to Road Quality Surveys. Asian Development Bank, décembre 2022. http://dx.doi.org/10.22617/wps220587-2.
Texte intégralCourtney, Peter. The Use of National Imagery Intelligence Assets to Obtain Battle Damage Assessment of Tactical Battlefield Targets. Fort Belvoir, VA : Defense Technical Information Center, février 2001. http://dx.doi.org/10.21236/ada389904.
Texte intégralMurray, Chris, Keith Williams, Norrie Millar, Monty Nero, Amy O'Brien et Damon Herd. A New Palingenesis. University of Dundee, novembre 2022. http://dx.doi.org/10.20933/100001273.
Texte intégralRuby, Jeffrey, Richard Massaro, John Anderson et Robert Fischer. Three-dimensional geospatial product generation from tactical sources, co-registration assessment, and considerations. Engineer Research and Development Center (U.S.), février 2023. http://dx.doi.org/10.21079/11681/46442.
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