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Статті в журналах з теми "MCS selection algorithm"
Li, Zhuo, Zecheng Li, and Wei Zhang. "Quality-Aware Task Allocation for Mobile Crowd Sensing Based on Edge Computing." Electronics 12, no. 4 (February 15, 2023): 960. http://dx.doi.org/10.3390/electronics12040960.
Повний текст джерелаMeng, Qing Min, Xiong Gu, Feng Tian, and Bao Yu Zheng. "k-NN Based MCS Selection in Distributed OFDM Wireless Networks." Advanced Materials Research 225-226 (April 2011): 974–77. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.974.
Повний текст джерелаCuevas, Erik, and 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.
Повний текст джерелаKalaiarasu, Dr M., and Dr J. Anitha. "Modified Cuckoo Search-Support Vector Machine (MCS-SVM) Gene Selection and Classification for Autism Spectrum Disorder (ASD) Gene Expression." NeuroQuantology 18, no. 11 (September 30, 2020): 01–13. http://dx.doi.org/10.14704/nq.2020.18.11.nq20228.
Повний текст джерелаWang, Yanan, Guodong Sun, and Xingjian Ding. "Coverage-Balancing User Selection in Mobile Crowd Sensing with Budget Constraint." Sensors 19, no. 10 (May 23, 2019): 2371. http://dx.doi.org/10.3390/s19102371.
Повний текст джерелаPošík, Petr, Waltraud Huyer, and László Pál. "A Comparison of Global Search Algorithms for Continuous Black Box Optimization." Evolutionary Computation 20, no. 4 (December 2012): 509–41. http://dx.doi.org/10.1162/evco_a_00084.
Повний текст джерелаGu, Zheng Gang, and Kun Hong Liu. "Microarray Data Classification Based on Evolutionary Multiple Classifier System." Applied Mechanics and Materials 130-134 (October 2011): 2077–80. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2077.
Повний текст джерелаAlizadeh Moghaddam, S. H., M. Mokhtarzade, and 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 (October 18, 2019): 71–75. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w18-71-2019.
Повний текст джерелаAbououf, Menatalla, Shakti Singh, Hadi Otrok, Rabeb Mizouni, and Ernesto Damiani. "Machine Learning in Mobile Crowd Sourcing: A Behavior-Based Recruitment Model." ACM Transactions on Internet Technology 22, no. 1 (February 28, 2022): 1–28. http://dx.doi.org/10.1145/3451163.
Повний текст джерелаKrishnaveni P. and Balasundaram S. R. "Automatic Text Summarization by Providing Coverage, Non-Redundancy, and Novelty Using Sentence Graph." Journal of Information Technology Research 15, no. 1 (January 2022): 1–18. http://dx.doi.org/10.4018/jitr.2022010108.
Повний текст джерелаДисертації з теми "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.
Повний текст джерелаPh. D.
Wang, Ju-Chia, and 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.
Повний текст джерела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.
Частини книг з теми "MCS selection algorithm"
Wang, Hao, Andrew Chi Sing Leung, and John Sum. "MCP Based Noise Resistant Algorithm for Training RBF Networks and Selecting Centers." In Neural Information Processing, 668–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04179-3_59.
Повний текст джерелаPhinyomark, Angkoon, Franck Quaine, and Yann Laurillau. "The Relationship Between Anthropometric Variables and Features of Electromyography Signal for Human–Computer Interface." In Computer Vision, 2234–68. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5204-8.ch098.
Повний текст джерелаLucinska, Malgorzata, and Slawomir T. Wierzchon. "An Immune Inspired Algorithm for Learning Strategies in a Pursuit-Evasion Game." In Machine Learning, 1192–214. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-60960-818-7.ch503.
Повний текст джерелаТези доповідей конференцій з теми "MCS selection algorithm"
Satapathy, Shaswat, Shivani Singh, and Debani Prasad Mishra. "MCS: A Distributed Multi-User Channel Selection Algorithm for Cognitive Radio Networks." In 2019 International Conference on Information Technology (ICIT). IEEE, 2019. http://dx.doi.org/10.1109/icit48102.2019.00015.
Повний текст джерелаBojnordi, Ehsan, Seyed Jalaleddin Mousavirad, Gerald Schaefer, and Iakov Korovin. "MCS-HMS: A Multi-Cluster Selection Strategy for the Human Mental Search Algorithm." In 2021 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2021. http://dx.doi.org/10.1109/ssci50451.2021.9660143.
Повний текст джерелаXiaofei Zhao, Xinyu Gu, Xiang Zhang, Yi Gong, Lin Zhang, and Wenyu Li. "Investigation of different MCS selection algorithm to reduce the impact of CSI-RS on LTE legacy UEs." In TENCON 2015 - 2015 IEEE Region 10 Conference. IEEE, 2015. http://dx.doi.org/10.1109/tencon.2015.7373083.
Повний текст джерелаJunbo, Liu, Ding Shuiting, and Li Guo. "Influence of Random Variable Dimension on the Fast Numerical Integration Method of Aero Engine Rotor Disk Failure Risk Analysis." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23513.
Повний текст джерелаChien, Ying-Ren, Sheng-Teng Wu, and Hen-Wai Tsao. "Correntropy-based Data-Selective MCC Algorithm." In 2022 IEEE International Conference on Consumer Electronics - Taiwan. IEEE, 2022. http://dx.doi.org/10.1109/icce-taiwan55306.2022.9869130.
Повний текст джерелаLi, Bohan, Xindi Zhang, Shaowei Cai, Jinkun Lin, Yiyuan Wang, and Christian Blum. "NuCDS: An Efficient Local Search Algorithm for Minimum Connected Dominating Set." 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.2020/209.
Повний текст джерелаMardini, Wail, Yaser Khamayseh, and Montaha Hani Khatatbeh. "Genetic algorithm for friendship selection in social IoT." In 2017 International Conference on Engineering & MIS (ICEMIS). IEEE, 2017. http://dx.doi.org/10.1109/icemis.2017.8273022.
Повний текст джерелаAbdullah, J., M. Y. Ismail, N. A. Cholan, and S. A. Hamzah. "GA-based QoS Route Selection Algorithm for Mobile Ad-Hoc Networks." In 2nd Malaysia Conferenced on Photonics (MCP). IEEE, 2008. http://dx.doi.org/10.1109/nctt.2008.4814299.
Повний текст джерелаCho, Changgi, Hu Jin, Nah-Oak Song, and Dan Keun Sung. "MCS selection algorithms for a persistent allocation scheme to accommodate VoIP services in IEEE 802.16e OFDMA system." In 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.
Повний текст джерелаEbian, Mohamed, Mohamed El-Sharkawy, and Salwa El-Ramly. "Adaptive error concealment algorithm for multiview coding based on lost MBs sizes and using dynamic selection of lower candidates MBs." In 2012 8th International Computer Engineering Conference (ICENCO). IEEE, 2012. http://dx.doi.org/10.1109/icenco.2012.6487085.
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