Literatura académica sobre el tema "MCS selection algorithm"
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Artículos de revistas sobre el tema "MCS selection algorithm"
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 completoTesis sobre el tema "MCS selection algorithm"
Lee, Unghee. "A Proactive Routing Protocol for Multi-Channel Wireless Ad-hoc Networks". Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/28127.
Texto completoPh. D.
Wang, Ju-Chia y 王汝嘉. "Joint Beam Training and MCS Mode Selection Algorithm under Multi-Path Fading Channel for WLANs". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/93043611866087509274.
Texto completo國立交通大學
資訊科學與工程研究所
105
As people’s need to internet needs increase, IEEE 802.11 is a standard for wireless local area network(WLAN) which had proposed an effective solution and is still continue developing. It uses 5GHz band that has higher bandwidth to replace the old 2.4GHz band, in order to provide a faster data transmit rate and a more stable signal. In 802.11ac standard, beamforming technology is included. The beamforming principle is to utilize multiple antennas in the space and to adjust the phase and amplitude for the sake of the signal can get the same phase, the same amplitude addition, and also the signal strength can become stronger in some space. However, on the contrary; some part of the space in the opposite phase, amplitude subtraction and the signal strength will become weak. Due to the directional of beamforming, we expect to rely on an effective algorithm to expect that the antenna will switch to the beam and use the beam to serve the user. And the signal strength can become maximum when users are under the particular beam. At the same time, by using the rate adaptation to maintain the best speed under the packet error rate tolerable. By watching the result of MATLAB simulation, we can verify the accuracy of the beam training algorithm and beam re-training algorithm. In addition, it also prove that our algorithm can effectively improve the overall performance.
Capítulos de libros sobre el tema "MCS selection algorithm"
Wang, Hao, Andrew Chi Sing Leung y John Sum. "MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers". En Neural Information Processing, 668–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04179-3_59.
Texto completoPhinyomark, Angkoon, Franck Quaine y Yann Laurillau. "The Relationship Between Anthropometric Variables and Features of Electromyography Signal for Human–Computer Interface". En Computer Vision, 2234–68. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch098.
Texto completoLucinska, Malgorzata y Slawomir T. Wierzchon. "An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game". En Machine Learning, 1192–214. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch503.
Texto completoActas de conferencias sobre el tema "MCS selection algorithm"
Satapathy, Shaswat, Shivani Singh y Debani Prasad Mishra. "MCS: A Distributed Multi-User Channel Selection Algorithm for Cognitive Radio Networks". En 2019 International Conference on Information Technology (ICIT). IEEE, 2019. http://dx.doi.org/10.1109/icit48102.2019.00015.
Texto completoBojnordi, Ehsan, Seyed Jalaleddin Mousavirad, Gerald Schaefer y Iakov Korovin. "MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm". En 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2021. http://dx.doi.org/10.1109/ssci50451.2021.9660143.
Texto completoXiaofei Zhao, Xinyu Gu, Xiang Zhang, Yi Gong, Lin Zhang y Wenyu Li. "Investigation of different MCS selection algorithm to reduce the impact of CSI-RS on LTE legacy UEs". En TENCON 2015 - 2015 IEEE Region 10 Conference. IEEE, 2015. http://dx.doi.org/10.1109/tencon.2015.7373083.
Texto completoJunbo, Liu, Ding Shuiting y Li Guo. "Influence of Random Variable Dimension on the Fast Numerical Integration Method of Aero Engine Rotor Disk Failure Risk Analysis". En ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23513.
Texto completoChien, Ying-Ren, Sheng-Teng Wu y Hen-Wai Tsao. "Correntropy-based Data-Selective MCC Algorithm". En 2022 IEEE International Conference on Consumer Electronics - Taiwan. IEEE, 2022. http://dx.doi.org/10.1109/icce-taiwan55306.2022.9869130.
Texto completoLi, Bohan, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang y Christian Blum. "NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set". En 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.2020/209.
Texto completoMardini, Wail, Yaser Khamayseh y Montaha Hani Khatatbeh. "Genetic algorithm for friendship selection in social IoT". En 2017 International Conference on Engineering & MIS (ICEMIS). IEEE, 2017. http://dx.doi.org/10.1109/icemis.2017.8273022.
Texto completoAbdullah, J., M. Y. Ismail, N. A. Cholan y S. A. Hamzah. "GA-based QoS Route Selection Algorithm for Mobile Ad-Hoc Networks". En 2nd Malaysia Conferenced on Photonics (MCP). IEEE, 2008. http://dx.doi.org/10.1109/nctt.2008.4814299.
Texto completoCho, Changgi, Hu Jin, Nah-Oak Song y Dan Keun Sung. "MCS selection algorithms for a persistent allocation scheme to accommodate VoIP services in IEEE 802.16e OFDMA system". En 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2009). IEEE, 2009. http://dx.doi.org/10.1109/pimrc.2009.5449929.
Texto completoEbian, Mohamed, Mohamed El-Sharkawy y Salwa El-Ramly. "Adaptive error concealment algorithm for multiview coding based on lost MBs sizes and using dynamic selection of lower candidates MBs". En 2012 8th International Computer Engineering Conference (ICENCO). IEEE, 2012. http://dx.doi.org/10.1109/icenco.2012.6487085.
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