Artículos de revistas sobre el tema "MCS selection algorithm"
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Li, Zhuo, Zecheng Li y Wei Zhang. "Quality-Aware Task Allocation for Mobile Crowd Sensing Based on Edge Computing". Electronics 12, n.º 4 (15 de febrero de 2023): 960. http://dx.doi.org/10.3390/electronics12040960.
Texto completoMeng, Qing Min, Xiong Gu, Feng Tian y Bao Yu Zheng. "k-NN Based MCS Selection in Distributed OFDM Wireless Networks". Advanced Materials Research 225-226 (abril de 2011): 974–77. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.974.
Texto completoCuevas, Erik y Adolfo Reyna-Orta. "A Cuckoo Search Algorithm for Multimodal Optimization". Scientific World Journal 2014 (2014): 1–20. http://dx.doi.org/10.1155/2014/497514.
Texto completoKalaiarasu, Dr M. y Dr J. Anitha. "Modified Cuckoo Search-Support Vector Machine (MCS-SVM) Gene Selection and Classification for Autism Spectrum Disorder (ASD) Gene Expression". NeuroQuantology 18, n.º 11 (30 de septiembre de 2020): 01–13. http://dx.doi.org/10.14704/nq.2020.18.11.nq20228.
Texto completoWang, Yanan, Guodong Sun y Xingjian Ding. "Coverage-Balancing User Selection in Mobile Crowd Sensing with Budget Constraint". Sensors 19, n.º 10 (23 de mayo de 2019): 2371. http://dx.doi.org/10.3390/s19102371.
Texto completoPošík, Petr, Waltraud Huyer y László Pál. "A Comparison of Global Search Algorithms for Continuous Black Box Optimization". Evolutionary Computation 20, n.º 4 (diciembre de 2012): 509–41. http://dx.doi.org/10.1162/evco_a_00084.
Texto completoGu, Zheng Gang y Kun Hong Liu. "Microarray Data Classification Based on Evolutionary Multiple Classifier System". Applied Mechanics and Materials 130-134 (octubre de 2011): 2077–80. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2077.
Texto completoAlizadeh Moghaddam, S. H., M. Mokhtarzade y S. A. Alizadeh Moghaddam. "A NEW MULTIPLE CLASSIFIER SYSTEM BASED ON A PSO ALGORITHM FOR THE CLASSIFICATION OF HYPERSPECTRAL IMAGES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W18 (18 de octubre de 2019): 71–75. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-71-2019.
Texto completoAbououf, Menatalla, Shakti Singh, Hadi Otrok, Rabeb Mizouni y Ernesto Damiani. "Machine Learning in Mobile Crowd Sourcing: A Behavior-Based Recruitment Model". ACM Transactions on Internet Technology 22, n.º 1 (28 de febrero de 2022): 1–28. http://dx.doi.org/10.1145/3451163.
Texto completoKrishnaveni P. y Balasundaram S. R. "Automatic Text Summarization by Providing Coverage, Non-Redundancy, and Novelty Using Sentence Graph". Journal of Information Technology Research 15, n.º 1 (enero de 2022): 1–18. http://dx.doi.org/10.4018/jitr.2022010108.
Texto completoBanov, Reni y Zdenko Šimić. "On Minimal Cut Sets Representation with Binary Decision Diagrams". Journal of Energy - Energija 71, n.º 4 (10 de julio de 2023): 12–15. http://dx.doi.org/10.37798/2022714420.
Texto completoZhang, Jing, Xiaoxiao Yang, Xin Feng, Hongwei Yang y An Ren. "A Joint Constraint Incentive Mechanism Algorithm Utilizing Coverage and Reputation for Mobile Crowdsensing". Sensors 20, n.º 16 (11 de agosto de 2020): 4478. http://dx.doi.org/10.3390/s20164478.
Texto completoMichaud, Langis, Patrick Simard, Remy Marcotte-Collard, Mhamed Ouzzani y Loraine Sinnott. "The Montreal Experience: A Retrospective Study Part I—Basic Principles and Treatment Algorithm". Applied Sciences 11, n.º 16 (13 de agosto de 2021): 7455. http://dx.doi.org/10.3390/app11167455.
Texto completoShao, Zihao, Huiqiang Wang y Guangsheng Feng. "PUEGM: A Method of User Revenue Selection Based on a Publisher-User Evolutionary Game Model for Mobile Crowdsensing". Sensors 19, n.º 13 (2 de julio de 2019): 2927. http://dx.doi.org/10.3390/s19132927.
Texto completoGarcia-Villegas, Eduard, Alejandro Lopez-Garcia y Elena Lopez-Aguilera. "Genetic Algorithm-Based Grouping Strategy for IEEE 802.11ah Networks". Sensors 23, n.º 2 (12 de enero de 2023): 862. http://dx.doi.org/10.3390/s23020862.
Texto completoLim, Kai-Zheong, Christopher Daly, Jessica Brown y Tony Goldschlager. "Dynamic Posture-Related Preoperative Pain as a Single Clinical Criterion in Patient Selection for Extreme Lateral Interbody Fusion Without Direct Decompression". Global Spine Journal 9, n.º 6 (15 de noviembre de 2018): 575–82. http://dx.doi.org/10.1177/2192568218811317.
Texto completoChu, Weng-Ming, Koan-Yuh Chang, Chien-Yu Lu, Chang-Hung Hsu, Chien-Hung Liu y Yung-Chia Hsiao. "A New Approach to Determine the Critical Path in Stochastic Activity Network". Mathematical Problems in Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/547627.
Texto completoMishra, Bharat, Ajay Kumar, Jacek Zaburko, Barbara Sadowska-Buraczewska y Danuta Barnat-Hunek. "Dynamic Response of Angle Ply Laminates with Uncertainties Using MARS, ANN-PSO, GPR and ANFIS". Materials 14, n.º 2 (14 de enero de 2021): 395. http://dx.doi.org/10.3390/ma14020395.
Texto completoZajdel, R., K. Sośnica, M. Drożdżewski, G. Bury y D. Strugarek. "Impact of network constraining on the terrestrial reference frame realization based on SLR observations to LAGEOS". Journal of Geodesy 93, n.º 11 (17 de octubre de 2019): 2293–313. http://dx.doi.org/10.1007/s00190-019-01307-0.
Texto completoDe Beelde, Brecht, Andrés Almarcha, David Plets y Wout Joseph. "V-Band Channel Modeling, Throughput Measurements, and Coverage Prediction for Indoor Residential Environments". Electronics 11, n.º 4 (20 de febrero de 2022): 659. http://dx.doi.org/10.3390/electronics11040659.
Texto completoWu, Xingyu, Bingbing Jiang, Kui Yu, Huanhuan Chen y Chunyan Miao. "Multi-Label Causal Feature Selection". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 04 (3 de abril de 2020): 6430–37. http://dx.doi.org/10.1609/aaai.v34i04.6114.
Texto completoZhang, Xindi, Bohan Li, Shaowei Cai y Yiyuan Wang. "Efficient Local Search based on Dynamic Connectivity Maintenance for Minimum Connected Dominating Set". Journal of Artificial Intelligence Research 71 (18 de mayo de 2021): 89–119. http://dx.doi.org/10.1613/jair.1.12618.
Texto completoNiaz, Rizwan, Ibrahim M. Almanjahie, Zulfiqar Ali, Muhammad Faisal y Ijaz Hussain. "A Novel Framework for Selecting Informative Meteorological Stations Using Monte Carlo Feature Selection (MCFS) Algorithm". Advances in Meteorology 2020 (17 de febrero de 2020): 1–13. http://dx.doi.org/10.1155/2020/5014280.
Texto completoReis, Cecília y J. A. Tenreiro Machado. "Computational Intelligence in Circuit Synthesis". Journal of Advanced Computational Intelligence and Intelligent Informatics 11, n.º 9 (20 de noviembre de 2007): 1122–27. http://dx.doi.org/10.20965/jaciii.2007.p1122.
Texto completoBekhouche, Safia y Yamina Mohamed Ben Ali. "Feature Selection in GPCR Classification Using BAT Algorithm". International Journal of Computational Intelligence and Applications 19, n.º 01 (marzo de 2020): 2050006. http://dx.doi.org/10.1142/s1469026820500066.
Texto completoHessen, Shrouk H., Hatem M. Abdul-kader, Ayman E. Khedr y Rashed K. Salem. "Developing Multiagent E-Learning System-Based Machine Learning and Feature Selection Techniques". Computational Intelligence and Neuroscience 2022 (30 de enero de 2022): 1–8. http://dx.doi.org/10.1155/2022/2941840.
Texto completoSun, Chunxiao, Zhiyong Zhang, Jinglei Tang y Shuai Liu. "A Selection-based MCL Clustering Algorithm for Motif Discovery". American Journal of Biochemistry and Biotechnology 14, n.º 4 (1 de abril de 2018): 298–306. http://dx.doi.org/10.3844/ajbbsp.2018.298.306.
Texto completoSomula, Ramasubbareddy y Sasikala R. "A Load and Distance Aware Cloudlet Selection Strategy in Multi-Cloudlet Environment". International Journal of Grid and High Performance Computing 11, n.º 2 (abril de 2019): 85–102. http://dx.doi.org/10.4018/ijghpc.2019040105.
Texto completoYadav, Rahul y Weizhe Zhang. "MeReg: Managing Energy-SLA Tradeoff for Green Mobile Cloud Computing". Wireless Communications and Mobile Computing 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/6741972.
Texto completoAi, Hu. "GSEA–SDBE: A gene selection method for breast cancer classification based on GSEA and analyzing differences in performance metrics". PLOS ONE 17, n.º 4 (26 de abril de 2022): e0263171. http://dx.doi.org/10.1371/journal.pone.0263171.
Texto completoAi, Hu. "GSEA–SDBE: A gene selection method for breast cancer classification based on GSEA and analyzing differences in performance metrics". PLOS ONE 17, n.º 4 (26 de abril de 2022): e0263171. http://dx.doi.org/10.1371/journal.pone.0263171.
Texto completoPrasetyo, Septian Eko, Pulung Hendro Prastyo y Shindy Arti. "A Cardiotocographic Classification using Feature Selection: A comparative Study". JITCE (Journal of Information Technology and Computer Engineering) 5, n.º 01 (31 de marzo de 2021): 25–32. http://dx.doi.org/10.25077/jitce.5.01.25-32.2021.
Texto completoSolanki, Yogendra Singh, Prasun Chakrabarti, Michal Jasinski, Zbigniew Leonowicz, Vadim Bolshev, Alexander Vinogradov, Elzbieta Jasinska, Radomir Gono y Mohammad Nami. "A Hybrid Supervised Machine Learning Classifier System for Breast Cancer Prognosis Using Feature Selection and Data Imbalance Handling Approaches". Electronics 10, n.º 6 (16 de marzo de 2021): 699. http://dx.doi.org/10.3390/electronics10060699.
Texto completoGutierrez, Amado, Victor Rangel, Javier Gomez, Robert M. Edwards y David H. Covarrubias. "A Joint Modulation-Coding Scheme and Resource Allocation in LTE Uplink". Elektronika ir Elektrotechnika 26, n.º 5 (27 de octubre de 2020): 50–58. http://dx.doi.org/10.5755/j01.eie.26.5.22313.
Texto completoHabib, Sami J. y Paulvanna N. Marimuthu. "Management Scheme for Data Collection within Wireless Sensor Networks". International Journal of Adaptive, Resilient and Autonomic Systems 3, n.º 2 (abril de 2012): 59–76. http://dx.doi.org/10.4018/jaras.2012040104.
Texto completoEL-GHAMRAWY, SALLY M. y ALI I. ELDESOUKY. "AN AGENT DECISION SUPPORT MODULE BASED ON GRANULAR ROUGH MODEL". International Journal of Information Technology & Decision Making 11, n.º 04 (julio de 2012): 793–820. http://dx.doi.org/10.1142/s0219622012500216.
Texto completoSabeena, B., S. Sivakumari y Dawit Mamru Teressa. "Optimization-Based Ensemble Feature Selection Algorithm and Deep Learning Classifier for Parkinson’s Disease". Journal of Healthcare Engineering 2022 (13 de abril de 2022): 1–12. http://dx.doi.org/10.1155/2022/1487212.
Texto completoR. Muhsen, Atheer, Ghazwh G. Jumaa, Nadia F. AL Bakri y Ahmed T. Sadiq. "Feature Selection Strategy for Network Intrusion Detection System (NIDS) Using Meerkat Clan Algorithm". International Journal of Interactive Mobile Technologies (iJIM) 15, n.º 16 (23 de agosto de 2021): 158. http://dx.doi.org/10.3991/ijim.v15i16.24173.
Texto completoLaishram, Ricky, Jeremy D. Wendt y Sucheta Soundarajan. "Crawling the Community Structure of Multiplex Networks". Proceedings of the AAAI Conference on Artificial Intelligence 33 (17 de julio de 2019): 168–75. http://dx.doi.org/10.1609/aaai.v33i01.3301168.
Texto completoSun, Yang y Ma. "Minimum Connected Dominating Set Algorithms for Ad Hoc Sensor Networks". Sensors 19, n.º 8 (23 de abril de 2019): 1919. http://dx.doi.org/10.3390/s19081919.
Texto completoJiang, Weijin, Junpeng Chen, Xiaoliang Liu, Yuehua Liu y Sijian Lv. "Participant Recruitment Method Aiming at Service Quality in Mobile Crowd Sensing". Wireless Communications and Mobile Computing 2021 (17 de abril de 2021): 1–14. http://dx.doi.org/10.1155/2021/6621659.
Texto completoPeng, C. R., L. Liu, B. Niu, Y. L. Lv, M. J. Li, Y. L. Yuan, Y. B. Zhu, W. C. Lu y Y. D. Cai. "Prediction of RNA-Binding Proteins by Voting Systems". Journal of Biomedicine and Biotechnology 2011 (2011): 1–8. http://dx.doi.org/10.1155/2011/506205.
Texto completoPramanik, Pijush Kanti Dutta, Sanjib Biswas, Saurabh Pal, Dragan Marinković y Prasenjit Choudhury. "A Comparative Analysis of Multi-Criteria Decision-Making Methods for Resource Selection in Mobile Crowd Computing". Symmetry 13, n.º 9 (16 de septiembre de 2021): 1713. http://dx.doi.org/10.3390/sym13091713.
Texto completoWang, Hui, Youming Li, Liliang Zhang, Yexian Fan y Zhiliang Li. "A Self-Deployment Algorithm for Maintaining Maximum Coverage and Connectivity in Underwater Acoustic Sensor Networks Based on an Ant Colony Optimization". Applied Sciences 9, n.º 7 (9 de abril de 2019): 1479. http://dx.doi.org/10.3390/app9071479.
Texto completoPadikkapparambil, Jinesh, Cornelius Ncube, Firoz Khan, Lakshmana Kumar Ramasamy y Yomiyu Reta Gashu. "Novel Stacking Classification and Prediction Algorithm Based Ambient Assisted Living for Elderly". Wireless Communications and Mobile Computing 2022 (18 de junio de 2022): 1–19. http://dx.doi.org/10.1155/2022/5728880.
Texto completoGuan, Jiahui, Lantian Yao, Chia-Ru Chung, Ying-Chih Chiang y Tzong-Yi Lee. "StackTHPred: Identifying Tumor-Homing Peptides through GBDT-Based Feature Selection with Stacking Ensemble Architecture". International Journal of Molecular Sciences 24, n.º 12 (19 de junio de 2023): 10348. http://dx.doi.org/10.3390/ijms241210348.
Texto completoYang, Ting, Fei Luo, Joel Fuentes, Weichao Ding y Chunhua Gu. "A Flexible Reinforced Bin Packing Framework with Automatic Slack Selection". Mathematical Problems in Engineering 2021 (19 de mayo de 2021): 1–15. http://dx.doi.org/10.1155/2021/6653586.
Texto completoZhang, Xiu Fang, You Long Yang y Xing Jia Tang. "Research on Multi-Dimensional Bayesian Network Classifiers Based on ICA Dimension Reduction". Applied Mechanics and Materials 380-384 (agosto de 2013): 2593–96. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2593.
Texto completoInam, Muhammad, Li Zhuo, Masood Ahmad y Zulfiar Ali Zardari. "An IRGA-MACS Based Cluster-Head Selection Protocol for Wireless Sensor Networks". Cybernetics and Information Technologies 21, n.º 2 (1 de junio de 2021): 166–82. http://dx.doi.org/10.2478/cait-2021-0025.
Texto completoAl-Shourbaji, Ibrahim, Na Helian, Yi Sun, Samah Alshathri y Mohamed Abd Elaziz. "Boosting Ant Colony Optimization with Reptile Search Algorithm for Churn Prediction". Mathematics 10, n.º 7 (23 de marzo de 2022): 1031. http://dx.doi.org/10.3390/math10071031.
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