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Статті в журналах з теми "Algorithmes – Travail"
Létourneau, Esther, and Francine M. Mayer. "Un modèle d’analyse de généalogie ascendante." Articles 17, no. 2 (October 24, 2008): 213–32. http://dx.doi.org/10.7202/600640ar.
Повний текст джерелаHamouda, Leïla, та Yassine Hachaichi. "NOTE SUR L'EXTRACTION DE LA RACINE CARRÉE D'UN ENTIER CHEZ IBN AL-HAYṮAM ET COMPARAISON AVEC AL-BAĠDĀDĪ". Arabic Sciences and Philosophy 31, № 1 (березень 2021): 149–57. http://dx.doi.org/10.1017/s0957423920000119.
Повний текст джерелаPostadjian, Tristan, Arnaud Le Bris, Hichem Sahbi, and Clément Mallet. "Classification à très large échelle d'images satellites à très haute résolution spatiale par réseaux de neurones convolutifs." Revue Française de Photogrammétrie et de Télédétection, no. 217-218 (September 21, 2018): 73–86. http://dx.doi.org/10.52638/rfpt.2018.418.
Повний текст джерелаFéménias, Damien. "Expositions sportives et formes de communication. Médiacultures, positionnements et narrations." Recherches en Communication 50 (February 16, 2022): 143–55. http://dx.doi.org/10.14428/rec.v50i50.64183.
Повний текст джерелаSurin, Guillaume. "Dérivées variables : mathématiques et littérature au XXIe siècle. Vers un lyrisme stochastique." Études littéraires 50, no. 2 (November 25, 2021): 101–19. http://dx.doi.org/10.7202/1083999ar.
Повний текст джерелаUllyot, Michael. "Augmented Criticism, Extensible Archives, and the Progress of Renaissance Studies." Renaissance and Reformation 37, no. 4 (April 30, 2015): 179–94. http://dx.doi.org/10.33137/rr.v37i4.22646.
Повний текст джерелаCheriguene, Rabia Sarah, and Habib Mahi. "Comparaison entre les méthodes J-SEG et MEANSHIFT : application sur des données THRS." Revue Française de Photogrammétrie et de Télédétection, no. 203 (April 8, 2014): 27–32. http://dx.doi.org/10.52638/rfpt.2013.27.
Повний текст джерелаLemozy, Fabien, and Stéphane Le Lay. "Le rapport subjectif au travail dirigé par les algorithmes. Être livré à soi-même sur une plateforme capitaliste." Mouvements 106, no. 2 (May 28, 2021): 99–107. http://dx.doi.org/10.3917/mouv.106.0099.
Повний текст джерелаIsabelle, Pierre. "La bi-textualité : vers une nouvelle génération d’aides à la traduction et la terminologie." Meta 37, no. 4 (September 30, 2002): 721–37. http://dx.doi.org/10.7202/003228ar.
Повний текст джерелаLicoppe, Christian, and Laurence Dumoulin. "Le travail des juges et les algorithmes de traitement de la jurisprudence. Premières analyses d’une expérimentation de « justice prédictive » en France." Droit et société N°103, no. 3 (2019): 535. http://dx.doi.org/10.3917/drs1.103.0535.
Повний текст джерелаДисертації з теми "Algorithmes – Travail"
Morat, Philippe. "Une étude sur la base de la programmation algorithmique notation et environnement de travail /." S.l. : Université Grenoble 1, 2008. http://tel.archives-ouvertes.fr/tel-00308504.
Повний текст джерелаTraoré, Daouda. "Algorithmes parallèles auto-adaptatifs et applications." Phd thesis, Grenoble INPG, 2008. http://tel.archives-ouvertes.fr/tel-00353274.
Повний текст джерелаBasseur, Matthieu. "Conception d'algorithmes coopératifs pour l'optimisation multi-objectif : application aux problèmes d'ordonnancement de type flow-shop." Lille 1, 2005. https://pepite-depot.univ-lille.fr/LIBRE/Th_Num/2005/50376-2005-Basseur.pdf.
Повний текст джерелаEnsuite, nous proposons de faire coopérer AGA avec des méthodes dédiées à l'intensification de la recherche. Nous proposons un premier type de coopération avec PLS (Recherche Locale Pareto) en proposant différents algorithmes de type recherche mimétique. Les tests effectués sur les différentes coopérations montrent l'intérêt d'utiliser un algorithme d'exploration (AGA), ainsi que l'efficacité des coopérations adaptives entre différents algorithmes. Puis, nous proposons une coopération originale avec l'algorithme MOPR (Path Relinking Multi-Objectif). Pour cela nous avons défini différents mécanismes pour adapter les algorithmes de path-relinking au cas multi-objectif. Ce type d'approche est très prometteur. Enfin, les approches coopératives avec la méthode exacte bi-objectif TPM (Méthode Deux Phases) ont été envisagées. Trois approches ont été proposées, une exacte et deux heuristique. Les expérimentations ont permis d'améliorer sensiblement les meilleures solutions obtenues. Les différentes approches testées, montrent l'intérêt des mécanismes de transition adaptative entre algorithmes, ainsi l'apport réalisé par l'utilisation de méthodes d'optimisation très différentes, dans le cadre de l'optimisation multi-objectif
Poinsot, Lisa. "Contribution à l'étude de la contrainte du temps dans le contrat de travail." Thesis, Université de Lille (2018-2021), 2021. https://pepite-depot.univ-lille.fr/ToutIDP/EDSJPG/2021/2021LILUD014.pdf.
Повний текст джерелаThe « Contribution to the study of the time constraint in the employment contract » proposes to verify the effects of the representation of time by the Law in the face of the difficulties generated by the evolutions impacting employed labour. Law and time are intrinsically linked: law materialises and objectifies time, while the latter justifies legal innovations. This strong mutual influence of time and law leads us to question the relevance of the legal representation of the employment contract in the face of the massive use of algorithms in salaried work. To answer this question, this study intends to demonstrate the creation of a legal representation of the employment contract due to the perception of time by the Law, as well as the transformation of the perception of salaried work, based on artificial intelligence and digital platforms. An answer is therefore emerging: the legal representation of the employment contract, the result of the action of the Law on time, can serve as a basis for the protection of the worker in the face of the important use of artificial intelligence and digital platforms. The adaptation of the legal representation of the employment contract would make it possible to benefit from the advantages of these technological advances while supervising their use
Kacem, Imed. "Ordonnancement multicritère des job-shops flexibles : formulation, bornes inférieures et approche évolutionniste coopérative." Lille 1, 2003. https://pepite-depot.univ-lille.fr/RESTREINT/Th_Num/2003/50376-2003-3.pdf.
Повний текст джерелаDeux approches ont été développées dans ce modèle. La première est l'Approche par Localisation (AL). Elle permet de construire un ensemble de solutions en minimisant les critères liés à la répartition des ressources dans le cas des job-shops flexibles. La deuxième est une approche basée sur des techniques à stratégie d'évolution contrôlées pour améliorer la qualité des solutions données par l'AL. Dans ce cadre, trois nouveaux codages ont été mis en œuvre tout en développant les opérateurs génétiques associés. En outre, quelques aspects modulaires de cette méthode sont également présentés dans le troisième chapitre. Dans le cinquième chapitre, nous illustrons la mise en oeuvre des différentes approches proposées sur un jeu de données afin d'évaluer leurs performances. Nous présentons également quelques comparaisons à d'autres méthodes. De plus, nous validons la méthode proposée sur une grande série d'exemples pratiques. Enfin, nous concluons ce mémoire en rappelant les grandes lignes des travaux menés et en présentant quelques perspectives de recherche futures concernant les possibles applications réelles de l'approche développée
Barreiro, Claro Daniela. "Spoc : un canevas pour la composition automatique de services web dédiés à la réalisation de devis." Angers, 2006. http://www.theses.fr/2006ANGE0025.
Повний текст джерелаUsers request may require multiple services to be executed. In this PhD thesis, we propose a framework for automatic composing web services called SPOC (Semantic-based Planning Optimized Compositions). This framework is composed of four successive phases: discovery, planning, execution and optimization. The discovery phase aims to search for web services which are candidates to compositions. In the planning phase, we determine which service compositions may satisfy the user request. In the execution phase, the web services are called in order to obtain estimated values (quotes). The last phase optimizes these results. Finally, we validated our proposed framework (SPOC) and applied it on the French public market domain, more precisely on the public building competition process
Basseur, Matthieu Talbi El-Ghazali. "Conception d'algorithmes coopératifs pour l'optimisation multi-objectif application aux problèmes d'ordonnancement de type flow-shop /." Villeneuve d'Ascq : Université des sciences et technologies de Lille, 2007. https://iris.univ-lille1.fr/dspace/handle/1908/471.
Повний текст джерелаN° d'ordre (Lille 1) : 3633. Résumé en français et en anglais. Titre provenant de la page de titre du document numérisé. Bibliogr. p. [185]-199.
Hu, Xiaobin. "Algorithmes de résolution pour la simulation de l'emboutissage par l'approche inverse." Compiègne, 1997. http://www.theses.fr/1997COMP1015.
Повний текст джерелаIvers, Hans. "La réponse thérapeutique à une intervention multidisciplinaire pour les maux de dos chroniques : prédicteurs et algorithmes." Doctoral thesis, Université Laval, 2015. http://hdl.handle.net/20.500.11794/27169.
Повний текст джерелаMultidisciplinary programs for chronic back pain patients, while returning about 60% of patients at work, represent major financial investments. The capacity to predict therapeutic outcomes may constitute an important asset to optimize treatment response and achieve cost reductions. This thesis has two objectives. The first objective was to complete a metaanalytic review of the predictors of treatment outcomes following multidisciplinary programs for low back pain. A total of 87 studies were selected, comprising 73 predictors and 773 effect sizes related to three outcomes : severity of pain and disability following program, and return to work. Age and education, receiving disability payments, medication and health services usage, positive coping strategies, anxious traits, severity of pain, disability and role limitation, aerobic capacity, physical endurance and muscular strength, low familial support, and psychological and physical demands related to employment were found to be significant predictors of outcomes. No evidence supported the predictive value of gender, medical diagnosis, radiological abnormalities, physical characteristics, and nature of work in tertiary prediction. The second objective was to study conceptually and empirically predictive performance of four algorithms coming from statistical and data mining areas, such as linear and logistic discriminant analysis, multivariate classification trees, and radial basis neural networks. Strengths and limitations of each technique are discussed using simulated data. Predictive performance with medical data are discussed based on five large comparison studies. Available data support the choice of multivariate decision trees for predictive engine in a medical setting. The selection of reliable and significant predictors of treatment response to multidisciplinary programs, coupled with the use of effective predictive tools, will allow health professionals to better tailor their interventions according to patient profiles and expected benefits, in order to maximize treatment response in a context of limited clinical and financial resources.
Mor, Stefano Drimon Kurz. "Analyse des synchronisations dans un programme parallèle ordonnancé par vol de travail. Applications à la génération déterministe de nombres pseudo-aléatoires." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM024/document.
Повний текст джерелаWe present two contributions to the field of parallel programming.The first contribution is theoretical: we introduce SIPS analysis, a novel approach to estimate the number of synchronizations performed during the execution of a parallel algorithm.Based on the concept of logical clocks, it allows us: on one hand, to deliver new bounds for the number of synchronizations, in expectation; on the other hand, to design more efficient parallel programs by dynamic adaptation of the granularity.The second contribution is pragmatic: we present an efficient parallelization strategy for pseudorandom number generation, independent of the number of concurrent processes participating in a computation.As an alternative to the use of one sequential generator per process, we introduce a generic API called Par-R, which is designed and analyzed using SIPS.Its main characteristic is the use of a sequential generator that can perform a ``jump-ahead'' directly from one number to another on an arbitrary distance within the pseudorandom sequence.Thanks to SIPS, we show that, in expectation, within an execution scheduled by work stealing of a "very parallel" program (whose depth or critical path is subtle when compared to the work or number of operations), these operations are rare.Par-R is compared with the parallel pseudorandom number generator DotMix, written for the Cilk Plus dynamic multithreading platform.The theoretical overhead of Par-R compares favorably to DotMix's overhead, what is confirmed experimentally, while not requiring a fixed generator underneath
Книги з теми "Algorithmes – Travail"
Christin, Angele. Metrics at Work. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691175232.001.0001.
Повний текст джерелаBi, Xiaojun, Brian Smith, Tom Ouyang, and Shumin Zhai. Soft Keyboard Performance Optimization. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0006.
Повний текст джерелаЧастини книг з теми "Algorithmes – Travail"
Fekete, Sándor P., Joseph S. B. Mitchell, and Christiane Schmidt. "Minimum Covering with Travel Cost." In Algorithms and Computation, 393–402. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10631-6_41.
Повний текст джерелаBae, Sang Won, and Kyung-Yong Chwa. "Farthest Voronoi Diagrams under Travel Time Metrics." In WALCOM: Algorithms and Computation, 28–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28076-4_6.
Повний текст джерелаChen, Huey-Kuo. "Algorithms for the Dynamic Route Choice Model." In Dynamic Travel Choice Models, 73–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-59980-4_5.
Повний текст джерелаBrandes, Ulrik, Frank Schulz, Dorothea Wagner, and Thomas Willhalm. "Travel Planning with Self-Made Maps." In Algorithm Engineering and Experimentation, 132–44. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-44808-x_10.
Повний текст джерелаSethi, Manoj, and Rajni Jindal. "Distributed Association Mining for Discovering Interesting Rules for Tours and Travel Company." In Algorithms for Intelligent Systems, 383–98. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-6332-1_33.
Повний текст джерелаFu, Liping, Jianbo Li, Zhiqiang Lv, Ying Li, and Qing Lin. "Estimation of Short-Term Online Taxi Travel Time Based on Neural Network." In Wireless Algorithms, Systems, and Applications, 20–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59019-2_3.
Повний текст джерелаBarauskas, Andrius, Agnė Brilingaitė, Linas Bukauskas, Vaida Čeikutė, Alminas Čivilis, and Simonas Šaltenis. "Semi-synthetic Data and Testbed for Long-Distance E-Vehicle Routing." In New Trends in Database and Information Systems, 61–71. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85082-1_6.
Повний текст джерелаBao, Siya, Masao Yanagisawa, and Nozomu Togawa. "A Travel Decision Support Algorithm: Landmark Activity Extraction from Japanese Travel Comments." In Computer and Information Science, 109–23. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25213-7_8.
Повний текст джерелаChowdhury, Nihad K., and Carson K. S. Leung. "Improved Travel Time Prediction Algorithms for Intelligent Transportation Systems." In Knowlege-Based and Intelligent Information and Engineering Systems, 355–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23863-5_36.
Повний текст джерелаLerin, Pablo Martinez, Daisuke Yamamoto, and Naohisa Takahashi. "Encoding Travel Traces by Using Road Networks and Routing Algorithms." In Intelligent Interactive Multimedia: Systems and Services, 233–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29934-6_23.
Повний текст джерелаТези доповідей конференцій з теми "Algorithmes – Travail"
Tong, yingfang, jie Fang, zhijia Liu, and pinghui Xiao. "Short-term forecasting of travel time utilizing deep learning approach." In International Conference on Advanced Algorithms and Neural Networks (AANN 2022), edited by Rajeev Tiwari. SPIE, 2022. http://dx.doi.org/10.1117/12.2637079.
Повний текст джерелаŠimunović, Ljupko, Mario Ćosić, Dino Šojat, and Julijan Jurak. "Population synthesis in activity-based travel demand." In 6th International Conference on Road and Rail Infrastructure. University of Zagreb Faculty of Civil Engineering, 2021. http://dx.doi.org/10.5592/co/cetra.2020.1150.
Повний текст джерелаLi, Ke, Lisi Chen, and Shuo Shang. "Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/470.
Повний текст джерелаLi, Boyang, Yurong Cheng, Ye Yuan, Guoren Wang, and Lei Chen. "Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/178.
Повний текст джерелаFriggstad, Zachary, Sreenivas Gollapudi, Kostas Kollias, Tamas Sarlos, Chaitanya Swamy, and Andrew Tomkins. "Orienteering Algorithms for Generating Travel Itineraries." In WSDM 2018: The Eleventh ACM International Conference on Web Search and Data Mining. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3159652.3159697.
Повний текст джерелаDohner, Jeffrey L. "A Reactive Algorithm for Micro-Robotic Vehicles." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-0933.
Повний текст джерелаBakin, Evgeny, Grigory Evseev, and Denis Dorum. "Load balancing routing algorithm for data gathering sensor network." In 2012 12th Conference of Open Innovations Association (FRUCT) and Seminar on e-Travel. IEEE, 2012. http://dx.doi.org/10.23919/fruct.2012.8122080.
Повний текст джерелаLi, Ke, Lisi Chen, Shuo Shang, Panos Kalnis, and Bin Yao. "Traffic Congestion Alleviation over Dynamic Road Networks: Continuous Optimal Route Combination for Trip Query Streams." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/503.
Повний текст джерелаFeng, Yunqing, Xuemei Li, and Ning Ma. "Research of Traffic Share in Different Models of Transport Based on the Agent Theory." In 2012 Joint Rail Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/jrc2012-74079.
Повний текст джерелаLiu, Jianmei, and Shoufeng Ma. "Algorithms of Game Models on Individual Travel Behavior." In Eighth International Conference of Chinese Logistics and Transportation Professionals (ICCLTP). Reston, VA: American Society of Civil Engineers, 2009. http://dx.doi.org/10.1061/40996(330)451.
Повний текст джерелаЗвіти організацій з теми "Algorithmes – Travail"
Tufte, Kristin. Assessment and Refinement of Real-Time Travel Time Algorithms for Use in Practice. Portland State University Library, October 2008. http://dx.doi.org/10.15760/trec.91.
Повний текст джерелаArhin, Stephen, Babin Manandhar, Hamdiat Baba Adam, and Adam Gatiba. Predicting Bus Travel Times in Washington, DC Using Artificial Neural Networks (ANNs). Mineta Transportation Institute, April 2021. http://dx.doi.org/10.31979/mti.2021.1943.
Повний текст джерелаTufte, Kristin. Assessment and Refinement of Real-Time Travel Time Algorithms for Use in Practice, Phase II. Portland State University Library, February 2011. http://dx.doi.org/10.15760/trec.99.
Повний текст джерелаMathew, Jijo K., Christopher M. Day, Howell Li, and Darcy M. Bullock. Curating Automatic Vehicle Location Data to Compare the Performance of Outlier Filtering Methods. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317435.
Повний текст джерелаLiu, Hongrui, and Rahul Ramachandra Shetty. Analytical Models for Traffic Congestion and Accident Analysis. Mineta Transportation Institute, November 2021. http://dx.doi.org/10.31979/mti.2021.2102.
Повний текст джерелаOleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4404.
Повний текст джерелаLever, James, Allan Delaney, Laura Ray, E. Trautman, Lynette Barna, and Amy Burzynski. Autonomous GPR surveys using the polar rover Yeti. Engineer Research and Development Center (U.S.), March 2022. http://dx.doi.org/10.21079/11681/43600.
Повний текст джерела