Artigos de revistas sobre o tema "Algorithme cognitif"
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Jalenques, I. "SMP – Diagnostic et traitement personnalisés : un paradigme d’avenir dans les troubles schizophréniques". European Psychiatry 29, S3 (novembro de 2014): 591–92. http://dx.doi.org/10.1016/j.eurpsy.2014.09.315.
Texto completo da fonteDiederichs, Elmar. "Reinforcement Learning - A Technical Introduction". Journal of Autonomous Intelligence 2, n.º 2 (19 de agosto de 2019): 25. http://dx.doi.org/10.32629/jai.v2i2.45.
Texto completo da fonteAnderson, John R. "Methodologies for studying human knowledge". Behavioral and Brain Sciences 10, n.º 3 (setembro de 1987): 467–77. http://dx.doi.org/10.1017/s0140525x00023554.
Texto completo da fonteFoley, J. M., M. J. Wright, A. L. Gooding, M. Ettenhofer, M. Kim, M. Choi, S. A. Castellon et al. "Operationalization of the updated diagnostic algorithm for classifying HIV-related cognitive impairment and dementia". International Psychogeriatrics 23, n.º 5 (19 de novembro de 2010): 835–43. http://dx.doi.org/10.1017/s1041610210002085.
Texto completo da fonteGonda, Dalibor, Viliam Ďuriš, Anna Tirpáková e Gabriela Pavlovičová. "Teaching Algorithms to Develop the Algorithmic Thinking of Informatics Students". Mathematics 10, n.º 20 (18 de outubro de 2022): 3857. http://dx.doi.org/10.3390/math10203857.
Texto completo da fonteLee, Won Hee. "The Choice of Machine Learning Algorithms Impacts the Association between Brain-Predicted Age Difference and Cognitive Function". Mathematics 11, n.º 5 (2 de março de 2023): 1229. http://dx.doi.org/10.3390/math11051229.
Texto completo da fonteWahn, Basil, Laura Schmitz, Frauke Nora Gerster e Matthias Weiss. "Offloading under cognitive load: Humans are willing to offload parts of an attentionally demanding task to an algorithm". PLOS ONE 18, n.º 5 (19 de maio de 2023): e0286102. http://dx.doi.org/10.1371/journal.pone.0286102.
Texto completo da fonteAmoore, Louise, e Rita Raley. "Securing with algorithms: Knowledge, decision, sovereignty". Security Dialogue 48, n.º 1 (12 de dezembro de 2016): 3–10. http://dx.doi.org/10.1177/0967010616680753.
Texto completo da fonteDangi, Siddharth, Amy L. Orsborn, Helene G. Moorman e Jose M. Carmena. "Design and Analysis of Closed-Loop Decoder Adaptation Algorithms for Brain-Machine Interfaces". Neural Computation 25, n.º 7 (julho de 2013): 1693–731. http://dx.doi.org/10.1162/neco_a_00460.
Texto completo da fonteIonescu, Claudiu Gabriel, e Monica Licu. "Are TikTok Algorithms Influencing Users’ Self-Perceived Identities and Personal Values? A Mini Review". Social Sciences 12, n.º 8 (21 de agosto de 2023): 465. http://dx.doi.org/10.3390/socsci12080465.
Texto completo da fonteZhao, Lu, e Mingyue Zhou. "A Robust Power Allocation Algorithm for Cognitive Radio Networks Based on Hybrid PSO". Sensors 22, n.º 18 (8 de setembro de 2022): 6796. http://dx.doi.org/10.3390/s22186796.
Texto completo da fonteKazim, Emre, Adriano Soares Koshiyama, Airlie Hilliard e Roseline Polle. "Systematizing Audit in Algorithmic Recruitment". Journal of Intelligence 9, n.º 3 (17 de setembro de 2021): 46. http://dx.doi.org/10.3390/jintelligence9030046.
Texto completo da fonteOpara, Ralf, e Florentin Wörgötter. "A Fast and Robust Cluster Update Algorithm for Image Segmentation in Spin-Lattice Models Without Annealing—Visual Latencies Revisited". Neural Computation 10, n.º 6 (1 de agosto de 1998): 1547–66. http://dx.doi.org/10.1162/089976698300017304.
Texto completo da fonteMarques, Ana. "Writing with Automated Machines: Between Translation and Sabotage". Matlit Revista do Programa de Doutoramento em Materialidades da Literatura 6, n.º 3 (10 de agosto de 2018): 73–81. http://dx.doi.org/10.14195/2182-8830_6-3_6.
Texto completo da fonteZhang, Chudi, Yunqi Song, Rundong Jiang, Jun Hu e Shiyou Xu. "A Cognitive Electronic Jamming Decision-Making Method Based on Q-Learning and Ant Colony Fusion Algorithm". Remote Sensing 15, n.º 12 (14 de junho de 2023): 3108. http://dx.doi.org/10.3390/rs15123108.
Texto completo da fonteN. Sirhan, Najem, e Manel Martinez-Ramon. "Cognitive Radio Resource Scheduling using Multi-Agent Q-Learning for LTE". International journal of Computer Networks & Communications 14, n.º 02 (31 de março de 2022): 77–95. http://dx.doi.org/10.5121/ijcnc.2022.14205.
Texto completo da fonteRostami, Soheil, Sajad Alabadi, Soheir Noori, Hayder Ahmed Shihab, Kamran Arshad e Predrag Rapajic. "Spectrum Assignment Algorithm for Cognitive Machine-to-Machine Networks". Mobile Information Systems 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/3282505.
Texto completo da fonteHuang, Jing, Ziheng Zhang e Xiaogang Ruan. "An Improved Dyna-Q Algorithm Inspired by the Forward Prediction Mechanism in the Rat Brain for Mobile Robot Path Planning". Biomimetics 9, n.º 6 (23 de maio de 2024): 315. http://dx.doi.org/10.3390/biomimetics9060315.
Texto completo da fonteShin, Donghee. "A Cross-National Study on the Perception of Algorithm News in the East and the West". Journal of Global Information Management 29, n.º 2 (março de 2021): 77–101. http://dx.doi.org/10.4018/jgim.2021030105.
Texto completo da fonteAndreasen, Torsten, Knut Ove Eliassen e Frederik Tygstrup. "Fremtidshandel: Fiktionen i den finansielle spekulations tidsalder". K&K - Kultur og Klasse 45, n.º 124 (31 de dezembro de 2017): 253–70. http://dx.doi.org/10.7146/kok.v45i124.103922.
Texto completo da fonteQi-Wen Zhang, Qi-Wen Zhang, e Qiao-Hong Bai Qi-Wen Zhang. "A Discrete Particle Swarm Optimization Algorithm Based on Neighbor Cognition to Solve the Problem of Social Influence Maximization". 電腦學刊 33, n.º 4 (agosto de 2022): 107–19. http://dx.doi.org/10.53106/199115992022083304009.
Texto completo da fonteKoval, Natalia. "Cognitive Algorithms for Learning Foreign Languages: Psycholinguistics Approach". Educational Challenges 26, n.º 1 (31 de março de 2021): 64–73. http://dx.doi.org/10.34142/2709-7986.2021.26.1.06.
Texto completo da fonteJastriebow, A., e K. Poczęta. "Analysis of multi-step algorithms for cognitive maps learning". Bulletin of the Polish Academy of Sciences Technical Sciences 62, n.º 4 (1 de dezembro de 2014): 735–41. http://dx.doi.org/10.2478/bpasts-2014-0079.
Texto completo da fonteVégh, Ladislav. "Models of Data Structures in Educational Visualizations for Supporting Teaching and Learning Algorithms and Computer Programming". International Journal of Advanced Natural Sciences and Engineering Researches 7, n.º 5 (21 de junho de 2023): 147–54. http://dx.doi.org/10.59287/ijanser.916.
Texto completo da fonteCervantes-Junco, Gabriel B., Enrique Rodriguez-Colina, Leonardo Palacios-Luengas, Michael Pascoe-Chalke, Pedro Lara-Velázquez e Ricardo Marcelín-Jiménez. "Decision-Making Algorithm with Geographic Mobility for Cognitive Radio". Sensors 24, n.º 5 (28 de fevereiro de 2024): 1540. http://dx.doi.org/10.3390/s24051540.
Texto completo da fonteLyons, Jack C. "Algorithm and Parameters: Solving the Generality Problem for Reliabilism". Philosophical Review 128, n.º 4 (1 de outubro de 2019): 463–509. http://dx.doi.org/10.1215/00318108-7697876.
Texto completo da fonteYim, Daehyuk, Tae Young Yeo e Moon Ho Park. "Mild cognitive impairment, dementia, and cognitive dysfunction screening using machine learning". Journal of International Medical Research 48, n.º 7 (julho de 2020): 030006052093688. http://dx.doi.org/10.1177/0300060520936881.
Texto completo da fonteYang, Xiao Long, Lin Ma e Xue Zhi Tan. "Power-Weight Allocation Algorithm for OFDM-Based Cognitive Radio System". Advanced Materials Research 546-547 (julho de 2012): 932–36. http://dx.doi.org/10.4028/www.scientific.net/amr.546-547.932.
Texto completo da fonteWessler, Richard L., e Sheenah W. R. Hankin-Wessler. "Nonconscious Algorithms in Cognitive and Affective Processes". Journal of Cognitive Psychotherapy 3, n.º 4 (janeiro de 1989): 243–54. http://dx.doi.org/10.1891/0889-8391.3.4.243.
Texto completo da fonteWatson, David. "The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence". Minds and Machines 29, n.º 3 (setembro de 2019): 417–40. http://dx.doi.org/10.1007/s11023-019-09506-6.
Texto completo da fonteZhang, Pei, Long Xiang Yang e Xu Liu. "Subcarrier Allocation in Cognitive Radio Systems". Applied Mechanics and Materials 195-196 (agosto de 2012): 154–58. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.154.
Texto completo da fonteMa, Yue Huai, Bin Zhang, Wei Zhang e Meng Xiang Xu. "Joint Subcarrier and Power Allocation for Uplink Spectrum Sharing in Cognitive OFDM Networks: A Waterfilling Based Approach". Advanced Materials Research 756-759 (setembro de 2013): 1979–83. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1979.
Texto completo da fonteGross, Alden, Yang An, Frank Lin, Luigi Ferrucci, Jennifer Schrack, Yuri Agrawal e Susan Resnick. "Derivation and Validation of an Algorithmic Classification of Early Cognitive Impairment". Innovation in Aging 5, Supplement_1 (1 de dezembro de 2021): 436. http://dx.doi.org/10.1093/geroni/igab046.1696.
Texto completo da fonteLiu, Hsiang Chuan. "Theoretical Approach to Reduced Q-Matrix for Cognition Diagnosis". Applied Mechanics and Materials 284-287 (janeiro de 2013): 3145–48. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3145.
Texto completo da fonteEt.al, C. Jayasri. "A Novel Swarm Intelligence Optimized Spectrum Sensing Approach For Cognitive Radio Network". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, n.º 6 (10 de abril de 2021): 136–43. http://dx.doi.org/10.17762/turcomat.v12i6.1278.
Texto completo da fonteWu, Di, Sheng Yao Yang e J. C. Liu. "Cognitive Radio Decision Engine Based on Multi-Objective Genetic Algorithm". Applied Mechanics and Materials 48-49 (fevereiro de 2011): 314–17. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.314.
Texto completo da fonteLv, Chun Ying, Ji Yang Wang e Fei Yu. "Dynamic Spectrum Allocation Using Q-Learning in Cognitive Radio Systems". Applied Mechanics and Materials 427-429 (setembro de 2013): 1579–84. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.1579.
Texto completo da fonteChaudhary, Sunita. "An Efficient Medical Image Processing Approach Based on a Cognitive Marine Predators Algorithm". International Journal on Future Revolution in Computer Science & Communication Engineering 8, n.º 1 (31 de março de 2022): 08–14. http://dx.doi.org/10.17762/ijfrcsce.v8i1.2084.
Texto completo da fonteZhang, Yuan, Weihua Wu, Wei He e Nan Zhao. "Algorithm Design and Convergence Analysis for Coexistence of Cognitive Radio Networks in Unlicensed Spectrum". Sensors 23, n.º 24 (8 de dezembro de 2023): 9705. http://dx.doi.org/10.3390/s23249705.
Texto completo da fonteThabtah, Fadi, e David Peebles. "Assessment for Alzheimer’s Disease Advancement Using Classification Models with Rules". Applied Sciences 13, n.º 22 (8 de novembro de 2023): 12152. http://dx.doi.org/10.3390/app132212152.
Texto completo da fonteWang, Yingxu, Mehrdad Valipour e Omar A. Zatarain. "Quantitative Semantic Analysis and Comprehension by Cognitive Machine Learning". International Journal of Cognitive Informatics and Natural Intelligence 10, n.º 3 (julho de 2016): 13–28. http://dx.doi.org/10.4018/ijcini.2016070102.
Texto completo da fontePark, Jin-Hyuck. "Machine-Learning Algorithms Based on Screening Tests for Mild Cognitive Impairment". American Journal of Alzheimer's Disease & Other Dementiasr 35 (1 de janeiro de 2020): 153331752092716. http://dx.doi.org/10.1177/1533317520927163.
Texto completo da fonteK., Haritha, Judy M. V., Konstantinos Papageorgiou e Elpiniki Papageorgiou. "Distributed Genetic Algorithm for Community Detection in Large Graphs with a Parallel Fuzzy Cognitive Map for Focal Node Identification". Applied Sciences 13, n.º 15 (28 de julho de 2023): 8735. http://dx.doi.org/10.3390/app13158735.
Texto completo da fonteLiu, Jing, Huibin Lu, Xiuru Zhang, Xiaoli Li, Lei Wang, Shimin Yin e Dong Cui. "Which Multivariate Multi-Scale Entropy Algorithm Is More Suitable for Analyzing the EEG Characteristics of Mild Cognitive Impairment?" Entropy 25, n.º 3 (21 de fevereiro de 2023): 396. http://dx.doi.org/10.3390/e25030396.
Texto completo da fonteKertanah, Kertanah, Wiwit Pura Nurmayanti, Sri Rahmatun Aini, Lalu Muh Amrullah e Muhammad Sya'roni. "Comparison of Algorithms K-Means and DBSCAN for Clustering Student Cognitive Learning Outcomes in Physics Subject". Kappa Journal 7, n.º 2 (18 de agosto de 2023): 251–55. http://dx.doi.org/10.29408/kpj.v7i2.18428.
Texto completo da fonteH. Abood, May, e Hikmat N. Abdullah. "Efficient Cyclostationary Spectrum Sensing Using Low Complexity FFT Algorithms". Iraqi Journal of Information and Communication Technology 7, n.º 1 (3 de maio de 2024): 35–46. http://dx.doi.org/10.31987/ijict.7.1.245.
Texto completo da fonteTatarchenko, Ksenia. "Thinking Algorithmically". Historical Studies in the Natural Sciences 49, n.º 2 (1 de abril de 2019): 194–225. http://dx.doi.org/10.1525/hsns.2019.49.2.194.
Texto completo da fonteWu, Jui-Yu. "Solving Constrained Global Optimization Problems by Using Hybrid Evolutionary Computing and Artificial Life Approaches". Mathematical Problems in Engineering 2012 (2012): 1–36. http://dx.doi.org/10.1155/2012/841410.
Texto completo da fonteLi, Ye, e Xiaohu Shi. "Mine Pressure Prediction Study Based on Fuzzy Cognitive Maps". International Journal of Computational Intelligence and Applications 19, n.º 03 (5 de agosto de 2020): 2050023. http://dx.doi.org/10.1142/s1469026820500236.
Texto completo da fonteK.S, Yuvaraj, Priya P. e Thiagarasu V. "Target Channel Selection Algorithm for Cognitive Radio Network". International Journal of Engineering & Technology 7, n.º 4.6 (25 de setembro de 2018): 198. http://dx.doi.org/10.14419/ijet.v7i4.6.20462.
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