Literatura científica selecionada sobre o tema "Ressource prediction"
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Artigos de revistas sobre o assunto "Ressource prediction"
Hubert, Christian, Steffen Krause e Christian Schaum. "Patterns in the Course of Gas Production Rates in Anaerobic Digestion—Prediction of Gas Production Rates Based on Deconvolution and Linear Regression". Water 15, n.º 4 (4 de fevereiro de 2023): 614. http://dx.doi.org/10.3390/w15040614.
Texto completo da fonteTernant, D., J. Elhasnaoui, N. Szely, S. Hacein-Bey, A. Gleizes, C. Richez, J. Manson et al. "AB0310 TROUGH CONCENTRATION AND ESTIMATED CLEARANCE CAN DETECT IMMUNOGENICITY TO ADALIMUMAB IN RA PATIENTS: A PROSPECTIVE LONGITUDINAL MULTICENTRE STUDY". Annals of the Rheumatic Diseases 79, Suppl 1 (junho de 2020): 1453.1–1454. http://dx.doi.org/10.1136/annrheumdis-2020-eular.2809.
Texto completo da fonteMunoz, Alain. "EVALUATION PAR VALIDATION INDEPENDANTE DES PREDICTIONS DES PARAMETRES FORESTIERS REALISEES A PARTIR DE DONNEES LIDAR AEROPORTE". Revue Française de Photogrammétrie et de Télédétection 1, n.º 211-212 (6 de dezembro de 2015): 81–92. http://dx.doi.org/10.52638/rfpt.2015.547.
Texto completo da fonteCruz García, Lirios. "Teoría del comportamiento sustentable para el desarrollo local". Clivajes. Revista de Ciencias Sociales, n.º 9 (24 de abril de 2018): 71–94. http://dx.doi.org/10.25009/clivajes-rcs.v0i9.2546.
Texto completo da fonteBonami, Olivier, e Juliette Thuilier. "A statistical approach to rivalry in lexeme formation: French -iser and -ifier". Word Structure 12, n.º 1 (março de 2019): 4–41. http://dx.doi.org/10.3366/word.2018.0130.
Texto completo da fonteChappell, Neena L., e Carren Dujela. "Caregiving: Predicting At-Risk Status". Canadian Journal on Aging / La Revue canadienne du vieillissement 27, n.º 2 (2008): 169–79. http://dx.doi.org/10.3138/cja.27.2.169.
Texto completo da fonteDudusola, I. O., H. A. Bashiru e A. A. Adewuyi. "Analysis of morphometric traits in heterogeneous population of adult guinea fowl (Numida meleagris)". Nigerian Journal of Animal Production 48, n.º 2 (2 de março de 2021): 6–17. http://dx.doi.org/10.51791/njap.v48i2.2925.
Texto completo da fonteAu, Anita, Martine T. E. Puts, John D. Fletcher, Nadia Sourial e Howard Bergman. "Frailty Markers Predicting Emergency Department Visits in a Community-Dwelling Sample of Vulnerable Seniors in Montreal". Canadian Journal on Aging / La Revue canadienne du vieillissement 30, n.º 4 (3 de outubro de 2011): 647–55. http://dx.doi.org/10.1017/s0714980811000511.
Texto completo da fonteSouadka, Amine, Hajar Essangri, Mohammed Anass Majbar, Amine Benkabbou, Saber Boutayeb, Laila Amrani, Abdelilah Ghannam et al. "Mid-Term Audit of a National Peritoneal Surface Malignancy Program Implementation in a Low Middle Income Country: The Moroccan Experience". Cancers 13, n.º 5 (3 de março de 2021): 1088. http://dx.doi.org/10.3390/cancers13051088.
Texto completo da fonteRABEMANANTSOA, Jean, Lala ANDRIANAIVO, Jean Luc RASOANAIVO, Huchard RANDRIANIRAINY e Achille RAVONINJATOVO. "Le Bio Indicateur Aurifere: Outil De Prediction De Gisement Et Caracterisation De Sol. Effet De L’Or Sur La Banane Plantain, L’avocatier Et La Tige De Riz Dans Le Fokontany Ambohitsara, Commune Ikianjavato, District De Manajary- Madagascar". International Journal of Progressive Sciences and Technologies 38, n.º 2 (16 de maio de 2023): 139. http://dx.doi.org/10.52155/ijpsat.v38.2.5293.
Texto completo da fonteTeses / dissertações sobre o assunto "Ressource prediction"
Wassermann, Anne Mai [Verfasser]. "Computational Analysis of Structure-Activity Relationships : from Prediction to Visualization Methods [[Elektronische Ressource]] / Anne Mai Wassermann". Bonn : Universitäts- und Landesbibliothek Bonn, 2012. http://d-nb.info/1044081309/34.
Texto completo da fonteBrückner, Michael [Verfasser], e Tobias [Akademischer Betreuer] Scheffer. "Prediction games : machine learning in the presence of an adversary [[Elektronische Ressource]] / Michael Brückner. Betreuer: Tobias Scheffer". Potsdam : Universitätsbibliothek der Universität Potsdam, 2012. http://d-nb.info/1026372550/34.
Texto completo da fonteSanti, Nina. "Prédiction des besoins pour la gestion de serveurs mobiles en périphérie". Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILB050.
Texto completo da fonteMulti-access Edge computing is an emerging paradigm within the Internet of Things (IoT) that complements Cloud computing. This paradigm proposes the implementation of computing servers located close to users, reducing the pressure and costs of local network infrastructure. This proximity to users is giving rise to new use cases, such as the deployment of mobile servers mounted on drones or robots, offering a cheaper, more energy-efficient and flexible alternative to fixed infrastructures for one-off or exceptional events. However, this approach also raises new challenges for the deployment and allocation of resources in terms of time and space, which are often battery-dependent.In this thesis, we propose predictive tools and algorithms for making decisions about the allocation of fixed and mobile resources, in terms of both time and space, within dynamic environments. We provide rich and reproducible datasets that reflect the heterogeneity inherent in Internet of Things (IoT) applications, while exhibiting a high rate of contention and interference. To achieve this, we are using the FIT-IoT Lab, an open testbed dedicated to the IoT, and we are making all the code available in an open manner. In addition, we have developed a tool for generating IoT traces in an automated and reproducible way. We use these datasets to train machine learning algorithms based on regression techniques to evaluate their ability to predict the throughput of IoT applications. In a similar approach, we have also trained and analysed a neural network of the temporal transformer type to predict several Quality of Service (QoS) metrics. In order to take into account the mobility of resources, we are generating IoT traces integrating mobile access points embedded in TurtleBot robots. These traces, which incorporate mobility, are used to validate and test a federated learning framework based on parsimonious temporal transformers. Finally, we propose a decentralised algorithm for predicting human population density by region, based on the use of a particle filter. We test and validate this algorithm using the Webots simulator in the context of servers embedded in robots, and the ns-3 simulator for the network part
CHAABANE, Sondes. "GESTION PREDICTIVE DES BLOCS OPERATOIRES". Phd thesis, INSA de Lyon, 2004. http://tel.archives-ouvertes.fr/tel-00008835.
Texto completo da fonteCes travaux nous ont permis de démontrer que des méthodes d'analyse et outils de résolution issus du manufacturier peuvent être appliqués au domaine hospitalier.
Choutri, Amira. "Gestion des ressources et de la consommation énergétique dans les réseaux mobiles hétérogènes". Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLV043/document.
Texto completo da fonteThe objective of this thesis is to develop methods for a targeted and efficient management of users mobility in heterogeneous mobile networks. This network is characterized by the deployment of different types of cells (macro, micro, pico and/or femto). The massive deployment of small cells (pico and femto) provides a supplementary coverage and capacity to mobile networks, specially in dense areas. However, the resulting real-time constraints limit the offered QoS. Furthermore, for commercial and/or environmental reasons, the needs to reduce the energy consumed by mobile networks became reality. Thus, mobile operators have to find a good compromise between, on the one hand, the users velocity and the guaranteed QoS, and on the other hand, the cost of deployment of such networks. For that, in the context of users mobility management, we propose models for resource and energy consumption management of base stations. The first model aims at controlling resource sharing between clients of the mobile operators. Based on a mobility prediction of users, this model anticipates the resource management of a base station. The second model aims at reducing energy consumption of the network by managing mobile users assignment to detected cells. This allows a continuous control of consumed energy of base stations while offered QoS is guaranteed. Based on simulation of a real mobile network topology, the performances of proposed models are evaluated while considering different possible scenarios. They are compared to the performances of different strategies as the ones proposed in literature or adopted by current mobile operators
Hopf, Konstantin [Verfasser], e Thorsten [Akademischer Betreuer] Staake. "Predictive Analytics for Energy Efficiency and Energy Retailing / Konstantin Hopf ; Betreuer: Thorsten Staake". Bamberg : University of Bamberg Press, 2019. http://d-nb.info/1191183580/34.
Texto completo da fonteChamorro, Chávez Alejandro [Verfasser], e András [Akademischer Betreuer] Bárdossy. "Stochastic and hydrological modelling for climate change prediction in the Lima region, Peru / Alejandro Chamorro Chávez. Betreuer: András Bárdossy". Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2015. http://d-nb.info/1079525483/34.
Texto completo da fontevon, Kistowski Jóakim Gunnarsson [Verfasser], Samuel [Gutachter] Kounev e Hartmut [Gutachter] Schmeck. "Measuring, Rating, and Predicting the Energy Efficiency of Servers / Jóakim Gunnarsson von Kistowski ; Gutachter: Samuel Kounev, Hartmut Schmeck". Würzburg : Universität Würzburg, 2019. http://d-nb.info/1181693748/34.
Texto completo da fonteBaasch, Annett [Verfasser], Helge Akademischer Betreuer] Bruelheide, Sabine [Akademischer Betreuer] [Tischew e Norbert [Akademischer Betreuer] Hölzel. "Predicting spatio-temporal patterns during succession in a post-mining landscape / Annett Baasch. Betreuer: Helge Bruelheide ; Sabine Tischew ; Norbert Hölzel". Halle, Saale : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2010. http://d-nb.info/1025011309/34.
Texto completo da fonteAzeli, Nourelhouda. "Maintenance prévisionnelle des systèmes de production géographiquement distribués sous ressources limitées". Electronic Thesis or Diss., Troyes, 2022. http://www.theses.fr/2022TROY0017.
Texto completo da fonteThis thesis addresses the problem of predictive maintenance decision making for geographically dispersed production systems (GDPS). The structure of GDPS represents an important challenge for the establishment of efficient maintenance strategies. Predictive maintenance strategies are particularly suitable. However, the issue of the availability of maintenance resources must be analyzed and integrated. In this thesis, we propose three predictive maintenance policies considering limited maintenance resources for a GDPS with gradually degrading production sites. The three proposed policies aim at optimizing an economic criterion by selecting the set of sites to be maintained. The first two policies are based on periodic inspection data. The first policy selects for maintenance, the permutation of sites that maximizes the reliability of the system after repair, without considering the distances. The second policy constructs the tour of sites to be maintained from the available resources and the distances between sites. Finally, the third policy is a dynamic policy. It relies on real-time monitoring data of degradation levels to adapt the tour. We used Monte Carlo simulation to evaluate the asymptotic economic criterion. The effectiveness of the proposed policies is demonstrated by comparison with more conventional policies
Livros sobre o assunto "Ressource prediction"
Ressource Zukunft: Die sieben Entscheidungsfelder der deutschen Reform. Opladen: Verlag Barbara Budrich, 2008.
Encontre o texto completo da fonteHenderson, Mark C. The depletion wall: Non-renewable resources, population growth, and the economics of poverty : the fifth wave. [Saint-Hyacinthe, Québec]: Waves of the Future, 2012.
Encontre o texto completo da fonteThe 2030 spike: Countdown to global catastrophe. Sterling, VA: Earthscan Publications, 2003.
Encontre o texto completo da fonteAutomation 2017. VDI Verlag, 2017. http://dx.doi.org/10.51202/9783181022931.
Texto completo da fontePredictive Fish Yield Models for Lakes and Reservoirs of the Philippines, Sri Lanka and Thailand (Fao Fisheries Technical Paper). Food & Agriculture Org, 1992.
Encontre o texto completo da fonteArslan, Hüseyin, e Ertuğrul Başar. Flexible and Cognitive Radio Access Technologies for 5G and Beyond. Institution of Engineering & Technology, 2020.
Encontre o texto completo da fonteFlexible and Cognitive Radio Access Technologies for 5G and Beyond. Institution of Engineering & Technology, 2020.
Encontre o texto completo da fonte