Artículos de revistas sobre el tema "MAP REDUCE ARCHITECTURE"
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Rathore, Neeraj. "Map Reduce Architecture for Grid". i-manager's Journal on Software Engineering 10, n.º 1 (15 de septiembre de 2015): 21–30. http://dx.doi.org/10.26634/jse.10.1.3629.
Texto completoOsero, Benard O., Elisha Abade y Stephen Mburu. "Mobile Agent Based Distributed Network Architecture with Map Reduce Programming Model". Computer Science and Information Technology 7, n.º 5 (noviembre de 2019): 129–61. http://dx.doi.org/10.13189/csit.2019.070501.
Texto completoMoharrer, Armin y Stratis Ioannidis. "Distributing Frank–Wolfe via map-reduce". Knowledge and Information Systems 60, n.º 2 (18 de diciembre de 2018): 665–90. http://dx.doi.org/10.1007/s10115-018-1294-7.
Texto completoK N, Manjunatha y Vaibhav A Meshram. "Energy Efficient VLSI Architecture for Variable Iterative 4G LTE Turbo Decoder". International Journal of Engineering & Technology 7, n.º 3 (16 de julio de 2018): 1535. http://dx.doi.org/10.14419/ijet.v7i3.12652.
Texto completoTHABTAH, FADI y SUHEL HAMMOUD. "MR-ARM: A MAP-REDUCE ASSOCIATION RULE MINING FRAMEWORK". Parallel Processing Letters 23, n.º 03 (septiembre de 2013): 1350012. http://dx.doi.org/10.1142/s0129626413500126.
Texto completoMalekimajd, Marzieh, Danilo Ardagna, Michele Ciavotta, Alessandro Maria Rizzi y Mauro Passacantando. "Optimal Map Reduce Job Capacity Allocation in Cloud Systems". ACM SIGMETRICS Performance Evaluation Review 42, n.º 4 (2 de junio de 2015): 51–61. http://dx.doi.org/10.1145/2788402.2788410.
Texto completoKhakimov, A., A. Suminov y A. Muthanna. "DEVELOPMENT OF EDGE COMPUTING DISTRIBUTION METHOD IN VANET". Telecom IT 7, n.º 2 (diciembre de 2019): 46–54. http://dx.doi.org/10.31854/2307-1303-2019-7-2-46-54.
Texto completoShafighi, Nesa y Babak Shirazi. "Ontological Map of Service Oriented Architecture Based on Zachman". Research in Economics and Management 2, n.º 4 (18 de julio de 2017): 33. http://dx.doi.org/10.22158/rem.v2n4p33.
Texto completoKhamaru, Ananda y Tryambak Hiwarkar. "A Dynamics of Machine Learning on Map-Reduce Architecture for Enhancing Big Data Analysis Performance". International Journal of Computer Science and Mobile Computing 11, n.º 11 (30 de noviembre de 2022): 109–30. http://dx.doi.org/10.47760/ijcsmc.2022.v11i11.009.
Texto completoAlZubi, Ahmad Ali. "Big data analytic diabetics using map reduce and classification techniques". Journal of Supercomputing 76, n.º 6 (16 de abril de 2018): 4328–37. http://dx.doi.org/10.1007/s11227-018-2362-1.
Texto completoSu, Yen-Liang, Po-Cheng Chen, Jyh-Biau Chang y Ce-Kuen Shieh. "Variable-sized map and locality-aware reduce on public-resource grids". Future Generation Computer Systems 27, n.º 6 (junio de 2011): 843–49. http://dx.doi.org/10.1016/j.future.2010.09.001.
Texto completoFan, Yu-Cheng, Yi-Cheng Liu y Chiao-An Chu. "Efficient CORDIC Iteration Design of LiDAR Sensors’ Point-Cloud Map Reconstruction Technology". Sensors 19, n.º 24 (9 de diciembre de 2019): 5412. http://dx.doi.org/10.3390/s19245412.
Texto completoШИБАЕВ, Д. С., В. В. ВЫЧУЖАНИН y Н. О. ШИБАЕВА. "ANALYSIS OF A LARGE VOLUME OF DATA ON THE STATE OF HIGH-TECH EQUIPMENT". Transport development, n.º 1(1) (27 de septiembre de 2017): 90–95. http://dx.doi.org/10.33082/td.2017.1-1.09.
Texto completoTong, Minglei, Lyuyuan Fan, Hao Nan y Yan Zhao. "Smart Camera Aware Crowd Counting via Multiple Task Fractional Stride Deep Learning". Sensors 19, n.º 6 (18 de marzo de 2019): 1346. http://dx.doi.org/10.3390/s19061346.
Texto completoCui, Liyuan, Guoqiang Zhong, Xiang Liu y Hongwei Xu. "A Compact Object Detection Architecture with Transformer Enhancing". Journal of Physics: Conference Series 2278, n.º 1 (1 de mayo de 2022): 012034. http://dx.doi.org/10.1088/1742-6596/2278/1/012034.
Texto completoAlthebyan, Qutaibah, Omar AlQudah, Yaser Jararweh y Qussai Yaseen. "A scalable Map Reduce tasks scheduling: a threading-based approach". International Journal of Computational Science and Engineering 14, n.º 1 (2017): 44. http://dx.doi.org/10.1504/ijcse.2017.081175.
Texto completoBao, Chun, Jie Cao, Qun Hao, Yang Cheng, Yaqian Ning y Tianhua Zhao. "Dual-YOLO Architecture from Infrared and Visible Images for Object Detection". Sensors 23, n.º 6 (8 de marzo de 2023): 2934. http://dx.doi.org/10.3390/s23062934.
Texto completoZhang, Shaofang, Xianjun Li y Yuechun Wang. "The Construction of High-Performance Optoelectronic Interconnection Network and the Realization of Cloud Computing for Traffic Data Recognition". Journal of Nanoelectronics and Optoelectronics 15, n.º 7 (1 de julio de 2020): 894–903. http://dx.doi.org/10.1166/jno.2020.2807.
Texto completoVeeraManickam, M. R. M., M. Mohanapriya, Bishwajeet K. Pandey, Sushma Akhade, S. A. Kale, Reshma Patil y M. Vigneshwar. "Map-Reduce framework based cluster architecture for academic student’s performance prediction using cumulative dragonfly based neural network". Cluster Computing 22, S1 (7 de febrero de 2018): 1259–75. http://dx.doi.org/10.1007/s10586-017-1553-5.
Texto completoBagui, Sikha, Arup Kumar Mondal y Subhash Bagui. "Improving the Performance of kNN in the MapReduce Framework Using Locality Sensitive Hashing". International Journal of Distributed Systems and Technologies 10, n.º 4 (octubre de 2019): 1–16. http://dx.doi.org/10.4018/ijdst.2019100101.
Texto completoDesai, Sharmishta Suhas y S. T. Patil. "Big Data Classification Using Distributed Optimized Hoeffding Trees". Journal of Machine Intelligence 2, n.º 1 (26 de junio de 2017): 14–20. http://dx.doi.org/10.21174/jomi.v2i1.101.
Texto completoLi, Jianjiang, Yajun Liu, Jian Pan, Peng Zhang, Wei Chen y Lizhe Wang. "Map-Balance-Reduce: An improved parallel programming model for load balancing of MapReduce". Future Generation Computer Systems 105 (abril de 2020): 993–1001. http://dx.doi.org/10.1016/j.future.2017.03.013.
Texto completoVaddi, Subrahmanyam, Dongyoun Kim, Chandan Kumar, Shafqat Shad y Ali Jannesari. "Efficient Object Detection Model for Real-time UAV Application". Computer and Information Science 14, n.º 1 (22 de enero de 2021): 45. http://dx.doi.org/10.5539/cis.v14n1p45.
Texto completoDEREJE TEKILU, Aseffa y Chin-Hsien WU. "A Virtualization-Based Hybrid Storage System for a Map-Reduce Framework". IEICE Transactions on Information and Systems E99.D, n.º 9 (2016): 2248–58. http://dx.doi.org/10.1587/transinf.2015edp7365.
Texto completoHayat, Ahatsham y Fernando Morgado-Dias. "Deep Learning-Based Automatic Safety Helmet Detection System for Construction Safety". Applied Sciences 12, n.º 16 (18 de agosto de 2022): 8268. http://dx.doi.org/10.3390/app12168268.
Texto completoStruharik, Rastislav y Vuk Vranjković. "Striping input feature map cache for reducing off-chip memory traffic in CNN accelerators". Telfor Journal 12, n.º 2 (2020): 116–21. http://dx.doi.org/10.5937/telfor2002116s.
Texto completoGazis, Alexandros y Eleftheria Katsiri. "IoT Cloud Computing Middleware for Crowd Monitoring and Evacuation". International Journal of Circuits, Systems and Signal Processing 15 (23 de diciembre de 2021): 1790–802. http://dx.doi.org/10.46300/9106.2021.15.193.
Texto completoXiao, Yun, Wei Zeng y Huang Zhang. "FPGA Delay-Oriented Process Mapping Algorithm of Xiangxi Minority Based on LUT". Mathematical Problems in Engineering 2022 (7 de febrero de 2022): 1–13. http://dx.doi.org/10.1155/2022/4994923.
Texto completoZeng, Feng Sheng. "Research and Improvement of Database Storage Method". Applied Mechanics and Materials 608-609 (octubre de 2014): 641–45. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.641.
Texto completoAlvarez-Gonzalez, Ruben y Andres Mendez-Vazquez. "Deep Learning Architecture Reduction for fMRI Data". Brain Sciences 12, n.º 2 (8 de febrero de 2022): 235. http://dx.doi.org/10.3390/brainsci12020235.
Texto completoIbrahem, Hatem, Ahmed Salem y Hyun-Soo Kang. "DTS-Depth: Real-Time Single-Image Depth Estimation Using Depth-to-Space Image Construction". Sensors 22, n.º 5 (1 de marzo de 2022): 1914. http://dx.doi.org/10.3390/s22051914.
Texto completoJiang, Wei, Zicheng Gong, Jinyu Zhan, Zhiyuan He y Weijia Pan. "A Low-Cost Image Encryption Method to Prevent Model Stealing of Deep Neural Network". Journal of Circuits, Systems and Computers 29, n.º 16 (28 de mayo de 2020): 2050252. http://dx.doi.org/10.1142/s0218126620502527.
Texto completoKim, Jungseok, Jeongmin Moon y Changjoo Moon. "Lane-Level Map Generation and Management Framework Using Connected Car Data". Electronics 12, n.º 18 (5 de septiembre de 2023): 3738. http://dx.doi.org/10.3390/electronics12183738.
Texto completoMao, Jiachen, Qing Yang, Ang Li, Kent W. Nixon, Hai Li y Yiran Chen. "Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks". ACM Transactions on Embedded Computing Systems 21, n.º 3 (31 de mayo de 2022): 1–21. http://dx.doi.org/10.1145/3484946.
Texto completoChen, Li, Zhen Zhang, Jianjun Wu, Xiang Wei y Wenyuan Bai. "Dynamic Retrieval Model of Quantitative Data of Power Grid Resources Based on 3D Geographic Information Systems (GIS)". Journal of Nanoelectronics and Optoelectronics 17, n.º 2 (1 de febrero de 2022): 344–50. http://dx.doi.org/10.1166/jno.2022.3204.
Texto completoZvonkov, Ivan, Gabriel Tseng, Catherine Nakalembe y Hannah Kerner. "OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 12 (26 de junio de 2023): 14655–63. http://dx.doi.org/10.1609/aaai.v37i12.26713.
Texto completoTauer, Gregory y Rakesh Nagi. "A map-reduce lagrangian heuristic for multidimensional assignment problems with decomposable costs". Parallel Computing 39, n.º 11 (noviembre de 2013): 653–68. http://dx.doi.org/10.1016/j.parco.2013.08.012.
Texto completoRagaventhiran, J. y M. K. Kavithadevi. "Map-optimize-reduce: CAN tree assisted FP-growth algorithm for clusters based FP mining on Hadoop". Future Generation Computer Systems 103 (febrero de 2020): 111–22. http://dx.doi.org/10.1016/j.future.2019.09.041.
Texto completoRen, Qiong. "Massive Collaborative Wireless Sensor Network Structure Based on Cloud Computing". International Journal of Online Engineering (iJOE) 14, n.º 11 (10 de noviembre de 2018): 4. http://dx.doi.org/10.3991/ijoe.v14i11.9499.
Texto completoCheng, Qimin, Deqiao Gan, Peng Fu, Haiyan Huang y Yuzhuo Zhou. "A Novel Ensemble Architecture of Residual Attention-Based Deep Metric Learning for Remote Sensing Image Retrieval". Remote Sensing 13, n.º 17 (30 de agosto de 2021): 3445. http://dx.doi.org/10.3390/rs13173445.
Texto completoShim, Hye-jin, Jee-weon Jung, Ju-ho Kim y Ha-jin Yu. "Capturing Discriminative Information Using a Deep Architecture in Acoustic Scene Classification". Applied Sciences 11, n.º 18 (9 de septiembre de 2021): 8361. http://dx.doi.org/10.3390/app11188361.
Texto completoJun, Sung-Bae, Chan-Ho Kim, JuKyung Cha, Jin Hwan Lee, Yong-Jae Kim y Sang-Yong Jung. "A Novel Method for Establishing an Efficiency Map of IPMSMs for EV Propulsion Based on the Finite-Element Method and a Neural Network". Electronics 10, n.º 9 (29 de abril de 2021): 1049. http://dx.doi.org/10.3390/electronics10091049.
Texto completoAbed, Qusay Abdullah. "An Analytical Approach to Big Data Issues in the Health Care Sector Using R Model & Hadoop". Webology 19, n.º 1 (20 de enero de 2022): 2196–203. http://dx.doi.org/10.14704/web/v19i1/web19149.
Texto completoSarrazin, E., M. Cournet, L. Dumas, V. Defonte, Q. Fardet, Y. Steux, N. Jimenez Diaz, E. Dubois, D. Youssefi y F. Buffe. "AMBIGUITY CONCEPT IN STEREO MATCHING PIPELINE". International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2021 (28 de junio de 2021): 383–90. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2021-383-2021.
Texto completoLiu, Yan. "Rural Financial Mobile Service Management System Based on Big Data". Mobile Information Systems 2022 (20 de marzo de 2022): 1–11. http://dx.doi.org/10.1155/2022/3316460.
Texto completoKao, Chi-Chou. "Design and Implementation of Stereoscopic Image Generation". Journal of Circuits, Systems and Computers 28, n.º 08 (julio de 2019): 1950133. http://dx.doi.org/10.1142/s0218126619501330.
Texto completoHuang, Huasheng, Jizhong Deng, Yubin Lan, Aqing Yang, Xiaoling Deng, Sheng Wen, Huihui Zhang y Yali Zhang. "Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery". Sensors 18, n.º 10 (1 de octubre de 2018): 3299. http://dx.doi.org/10.3390/s18103299.
Texto completoMa, Li, Zhibin Guan, Xinguan Dai, Hangbiao Gao y Yuanmeng Lu. "A Cross-Modality Person Re-Identification Method Based on Joint Middle Modality and Representation Learning". Electronics 12, n.º 12 (15 de junio de 2023): 2687. http://dx.doi.org/10.3390/electronics12122687.
Texto completoWang, Jingchuan, Ruochen Tai y Jingwen Xu. "A Bi-Level Probabilistic Path Planning Algorithm for Multiple Robots with Motion Uncertainty". Complexity 2020 (5 de junio de 2020): 1–16. http://dx.doi.org/10.1155/2020/9207324.
Texto completoLi, Ming, Meng Yue Yuan y Ying Cheng Xu. "The Construction of the Knowledge Management System in the Cloud Computing Environment". Applied Mechanics and Materials 713-715 (enero de 2015): 2366–69. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.2366.
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