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Publication search results
found 143 matches
- 2024
- Pingping Dong, Xiaojuan Lu, Tairan Huang, Liying Chen, Yang Yang, Lianming Zhang:
Predictive Queue-Based Rate Control for Low Latency in Lossless Data Center Networks. IEEE Trans. Netw. Serv. Manag. 21(3): 3428-3439 (2024) - 2023
- Zetao Jiang, Gu Li, Yongzhi Cai, Jian Li, Ke Zhang:
Design of Line Loss Rate Calculation Method for Low-Voltage Desk Area Based on GA-LMBP Neural Network Model. IEEE Access 11: 144394-144407 (2023) - Yuqing Shen, Shuli Sun:
Distributed recursive filtering for multi-rate uniform sampling systems with packet losses in sensor networks. Int. J. Syst. Sci. 54(8): 1729-1745 (2023) - Hua Yang, Jian Li, Neng Liu, Kecheng Yi, Jing Wang, Rou Fu, Jun Zhang, Yunzhu Xiang, Pengcheng Yang, Tianyu Hang, Tiancheng Zhang, Siyi Wang:
Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network. BIC-TA (2) 2023: 121-132 - Kai Vogelgesang, Pablo Gil Pereira, Thorsten Herfet:
SHARQ: Scheduled HARQ for Time- and Loss-Rate-Sensitive Networks. CCNC 2023: 640-643 - Ergun Biçici:
Power Loss Function in Neural Networks for Predicting Click-Through Rate. RecSys 2023: 1180-1183 - Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng:
Short-Term Multi-Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention-GCN-LSTM. CoRR abs/2312.11898 (2023) - 2022
- Chunqiang Chen, Weiming Tang, Qingquan Liu, Zhihui Dang:
Networked State estimation over lossy Communication channels with Data rate Limitation. Mechatron. Syst. Control. 50(3) (2022) - Maryam Farahbakhsh, Meisam Nesary Moghadam:
Multi-class Multipath Routing Protocol for Low Power and Lossy Networks, with Energy Balanced Optimal Rate Assignment. Wirel. Pers. Commun. 127(4): 3079-3096 (2022) - Jialue Tian, Zhongmin Qian, Qing Xie, Yongfei Sun, Lei Shi:
Automatic Calculation of Loss Rate of Cotton Pickers Based on Deep Neural Network and Image Processing. MLMI 2022: 124-131 - Osman Nuri Koç, Engin Masazade:
Packet Loss Rate Prediction for Vehicular Networks with Regression Methods. SIU 2022: 1-4 - 2021
- Thi Nha Ngo, Dan Jeric Arcega Rustia, En-Cheng Yang, Ta-Te Lin:
Honey Bee Colony Population Daily Loss Rate Forecasting and an Early Warning Method Using Temporal Convolutional Networks. Sensors 21(11): 3900 (2021) - Anargyros J. Roumeliotis, Christos N. Efrem, Charilaos I. Kourogiorgas, Athanasios D. Panagopoulos:
Minimization of Losses and Rate Matching in Satellite Networks With One to Many Pairings. IEEE Wirel. Commun. Lett. 10(11): 2455-2458 (2021) - Virginia Chika Ebhota, Viranjay M. Srivastava:
Performance Analysis of Learning Rate Parameter on Prediction of Signal Power Loss for Network Optimization and Better Generalization. Wirel. Pers. Commun. 118(2): 1111-1128 (2021) - Aleksej Chinaev, Gerald Enzner, Tobias Gburrek, Joerg Schmalenstroeer:
Online Estimation of Sampling Rate Offsets in Wireless Acoustic Sensor Networks with Packet Loss. EUSIPCO 2021: 1110-1114 - Fredrik Hellström, Giuseppe Durisi:
Fast-Rate Loss Bounds via Conditional Information Measures with Applications to Neural Networks. ISIT 2021: 952-957 - Hoover H. F. Yin, Ka Hei Ng:
Impact of Packet Loss Rate Estimation on Blockwise Adaptive Recoding for Batched Network Coding. ISIT 2021: 1415-1420 - 2020
- Claudia Bachmann, Tom Tetzlaff, Renato C. Duarte, Abigail Morrison:
Firing rate homeostasis counteracts changes in stability of recurrent neural networks caused by synapse loss in Alzheimer's disease. PLoS Comput. Biol. 16(8) (2020) - Jianrui Cai, Zisheng Cao, Lei Zhang:
Learning a Single Tucker Decomposition Network for Lossy Image Compression With Multiple Bits-per-Pixel Rates. IEEE Trans. Image Process. 29: 3612-3625 (2020) - César Díaz, Pablo Pérez, Julián Cabrera, Jaime J. Ruiz, Narciso García:
XLR (piXel Loss Rate): A Lightweight Indicator to Measure Video QoE in IP Networks. IEEE Trans. Netw. Serv. Manag. 17(2): 1096-1109 (2020) - Fredrik Hellström, Giuseppe Durisi:
Nonvacuous Loss Bounds with Fast Rates for Neural Networks via Conditional Information Measures. CoRR abs/2010.11552 (2020) - 2019
- Haoliang Lan, Wei Ding, Jian Gong:
Useful Traffic Loss Rate Estimation Based on Network Layer Measurement. IEEE Access 7: 33289-33303 (2019) - Gaolei Fei, Tianbo Li, Guangmin Hu:
Time-varying network link loss rate tracking from unicast end-to-end measurements. Int. J. Commun. Syst. 32(14) (2019) - Xiaoyuan Zheng, Hao Zhang, Zhuping Wang, Huaicheng Yan:
Almost surely state estimation for multi-rate networked systems under random and malicious packet losses. J. Frankl. Inst. 356(17): 10593-10607 (2019) - Lin Zhang, Gang Li:
Networked Estimation of a Class of Fuzzy Stochastic Hybrid Systems With Variable Rates of Packet Losses. IEEE Trans. Cybern. 49(2): 638-648 (2019) - Vishal Krishna Singh, Vivek Kumar Singh, Manish Kumar:
Network Health Monitoring of WSNs Using Node Loss Rate Calculations. Wirel. Pers. Commun. 108(1): 253-268 (2019) - Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret, David Gesbert, Nicolas Gresset:
Achieving Vanishing Rate Loss in Decentralized Network MIMO. ISIT 2019: 1457-1461 - Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret, David Gesbert, Nicolas Gresset:
Achieving Vanishing Rate Loss in Decentralized Network MIMO. CoRR abs/1901.06849 (2019) - 2018
- Muhammad Saleem Khan, Saira Waris, Ihsan Ali, Majid I. Khan, Mohammad Hossein Anisi:
Mitigation of Packet Loss Using Data Rate Adaptation Scheme in MANETs. Mob. Networks Appl. 23(5): 1141-1150 (2018) - Tomoumi Takase, Satoshi Oyama, Masahito Kurihara:
Effective neural network training with adaptive learning rate based on training loss. Neural Networks 101: 68-78 (2018)
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