Modeling and Optimization of Co-TDMA in Next-Generation Wi-Fi Systems Based on Optimal Transportation Theory by Junxiong Zhang, Weimin Wu, Xiaohu Ge, Yingzhuang Liu

“…Based on the proposed architecture, a new channel access mechanism called optimal transportation channel access (OTCA) mechanism is proposed to reduce the collision among STAs in Wi-Fi networks. …”
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Multi-component attention graph convolutional neural network for QoS-aware cloud job scheduling and resource management enhancing efficiency and performance in cloud computing by Deepak Dharrao, Sarika Deokate, Nagamma Hudgi, Shrinivas Shirkande, Vinod Mahajan, Madhuri Pangavhane, Anupkumar Bongale

“…However, MCAGCN does not include optimization strategies for determining optimal parameters for enhanced resource allocation in cloud computing. …”
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A Hybrid Reliable Heuristic Mapping Method Based on Survivable Virtual Networks for Network Virtualization by Qiang Zhu, Hui-Qiang Wang, Guang-Sheng Feng, Hong-Wu Lv, Zhen-Dong Wang, Xiu-Xiu Wen, Wei Jiang

“…The simulation results show that the acceptance rate of virtual networks, the average revenue of mapping, and the recovery rate of virtual networks are increased compared with the existing reliable mapping algorithms, respectively.…”
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Handling Heterogeneous Traffic  for Software Defined Data-Center Network Using Spike Neural Network by Sanarya Jamal AL-Azawee, Nadia Adnan Shiltagh Al-Jamali

“…Software-defined networks (SDNs) efficiently manage data flows and optimize network resources. …”
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Configurational Comparison of a Binary Logic Transmission Unit Applicable to Agricultural Tractor Hydro-Mechanical Continuously Variable Transmissions and Its Wet Clutch Optimizati... by Wenjie Li, Zhun Cheng, Mengchen Yang

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Time-triggered stream scheduling method combining no-wait and time-slot mapping reuse by HE Qian, GUO Yanan, ZHAO Baokang, PAN Qi, WANG Yong

“…The proper functioning of numerous applications in industrial control systems relies on deterministic and low-latency network transmission, driving the development of time-sensitive networking. …”
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IT Diagnostics of Parkinson’s Disease Based on the Analysis of Voice Markers and Machine Learning by U. A. Vishniakou, Xia YiWei

“…The model was trained using the Knn and Random Forest algorithms, as well as the Bayesian neural network. The Bayesian optimization algorithm and the GridSearch method were used to find the best model hyperparameters. …”
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A Vascular-Network-Based Nonuniform Hierarchical Fault-Tolerant Routing Algorithm for Wireless Sensor Networks by Hongbing Li, Peng Gao, Qingyu Xiong, Weiren Shi, Qiang Chen

“…Fault tolerance is the key technology in wireless sensor networks which attracts many research interests. Aiming at the issue that the nodes' failures affect the network's stability and service quality, a vascular-network-based fault-tolerant routing algorithm is presented by nonuniform hierarchical clustering. …”
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Short term traffic flow prediction and timing optimization at signalized intersections based on SG-LSTM and particle swarm optimization by Lei Yang, Ruijun Guo

“…In addressing the challenge of spatio-temporal correlation in traffic flow at signalized intersections, this study introduces an innovative methodology that integrates a SG-LSTM neural network with a particle swarm optimization algorithm. …”
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Multi-layer perceptron-particle swarm optimization: A lightweight optimization algorithm for the model predictive control local planner by Xiaoqing Guan, Tao Hu, Ziang Zhang, Yixu Wang, Yifan Liu, You Wang, Jie Hao, Guang Li

“…Next, to accomplish obstacle avoidance, the particle swarm optimization algorithm re-optimizes the trajectory based on the outputs of the neural network. …”
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Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

“…Then the reserve pool parameters of the ESN are optimized using the local and global optimization search capability of IGWO, and the IGWO-ESN network model is constructed, and the processed dataset is used for the training of the remaining life prediction model of the PEMFC, and finally it is compared with the traditional ESN for verification. …”
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Cloud-Edge-Collaboration-Based Flexibility Scheduling Strategy Considering Communication and Computation Delay by Wei Zhang, Hui Miao

“…Compared with traditional strategy, centralized optimization is replaced by distributed optimization to consider both economic efficiency and effect of delay. …”
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Optimal Management of Rechargeable Biosensors in Temperature-Sensitive Environments by Yahya Osais, F. Richard Yu, Marc St-Hilaire

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Entanglement distribution in lossy quantum networks by Leonardo Oleynik, Junaid ur Rehman, Seid Koudia, Symeon Chatzinotas

“…We develop a general mathematical framework to assess the average bipartite entanglement shared in a lossy distribution, and introduce a tractable lower bound by optimizing over a subset of single-parameter LOCC transformations. …”
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Neural Networks in Forecasting Disease Dynamics by A. G. Hasanov, D. G. Shaybakov, S. V. Zhernakov, A. M. Men’shikov, F. F. Badretdinova, I. F. Sufiyarov, J. R. Sagadatova

“…The optimal structure of the neural network was found to be: 27–6–1 (i.e. 27 neurons are used at the entrance; 6 — in a hidden layer; 1 — in the output layer). …”
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Optimal Forecast Combination for Japanese Tourism Demand by Yongmei Fang, Emmanuel Sirimal Silva, Bo Guan, Hossein Hassani, Saeed Heravi

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Multiphysics Feature-Based State-of-Energy Estimation for LiFePO4 Batteries Using Bidirectional Long Short-Term Memory and Particle Swarm-Optimized Kalman Filter by Zhengpu Wu, Xu He, Haisen Chen, Lu Lv, Jiuchun Jiang, Lujun Wang

“…A fusion model that integrates a bidirectional long short-term memory (BiLSTM) network, particle swarm optimization (PSO), and Kalman filter (KF) algorithm is proposed for SOE estimation. …”
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Multi armed bandit based resource allocation in Near Memory Processing architectures by Shubhang Pandey, T.G. Venkatesh

“…The evaluation shows that the system’s performance improves by ∼11% on average and an average reduction in total power consumption by ∼12%.…”
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Optimal allocation of STATCOM for multi-objective ORPD problem on thermal wind solar hydro scheduling using driving training based optimization by Tushnik Sarkar, Sabyasachi Gupta, Chandan Paul, Susanta Dutta, Provas Kumar Roy, Anagha Bhattacharya, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…Abstract On IEEE 30, 57, 118 & 300-bus experimental networks, this work aims to solve the optimal reactive power dispatch (ORPD) problem. …”
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Energy-efficient artificial fish swarm-based clustering protocol for enhancing network lifetime in underwater wireless sensor networks by Puneet Kaur, Kiranbir Kaur, Kuldeep Singh, Kiran Saleem, Ateeq Ur Rehman, Rupesh Gupta, Seada Hussen Adem

“…The results indicate that EAFSCCIP significantly enhances the packet delivery ratio (PDR) by an average of 5.33% over existing methods and improves network lifetime by 6.54% compared to traditional protocols. …”
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