Deep Q-Networks for Minimizing Total Tardiness on a Single Machine by Kuan Wei Huang, Bertrand M. T. Lin

“…The advent of Deep Q-Networks (DQNs) within the reinforcement learning paradigm could be a viable approach to transcending these limitations, offering a robust and adaptive approach. …”
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Energy-efficient and fast method on storage and querying in wireless sensor networks by PENG Shao-liang, LI Shan-shan, PENG Yu-xing, LIAO Xiang-ke, XIAO Nong

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Enhanced clustering based routing protocol in vehicular ad‐hoc networks by Afia Naeem, Muhammad Rizwan, Shtwai Alsubai, Ahmad Almadhor, Md. Akhtaruzzaman, Shayla Islam, Hameedur Rahman

“…Secure clustering is required for the communication between nodes in the whole network. The fundamental problem with the VANET is the instability of the network that occurs due to vehicles' mobile nature, which decreases the network's efficiency. …”
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Training Large Models on Heterogeneous and Geo-Distributed Resource with Constricted Networks by Zan Zong, Minkun Guo, Mingshu Zhai, Yinan Tang, Jianjiang Li, Jidong Zhai

“…Due to the lack of awareness of heterogeneous devices and network topologies, existing parallel training frameworks struggle to leverage mixed GPU resources across constrained networks effectively. …”
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Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process by Athraa Sabeeh Hasan Allak, Jianjun Yi, Haider M. Al-Sabbagh, Liwei Chen

“…Aiming at the problem of low recognition accuracy of small target, a target tracking model of UAV based on siamese neural network (SNN) is studied. …”
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Outage performance analysis of IRS-aided cognitive satellite-terrestrial network by Min LIN, Huaibo GUO, Xiaoyu LIU, Lue HAN, Miaomiao TAN, Lyuxi YANG

“…The outage performance of intelligent reflecting surface (IRS) aided cognitive satellite-terrestrial network was analyzed.Firstly, for the scenario where the point beam was enabled at the satellite to serve the earth station, and the IRS and non-orthogonal multiple access (NOMA) were deployed at the base station to expand the communication range and serve multiple users, respectively, under the condition that cognitive radio technology was employed to enable spectrum sharing between the satellite primary network and the terrestrial secondary network, an optimization problem was established to maximize the average signal-to-noise ratio of terrestrial users.Secondly, a low complexity IRS phase shift design was proposed by using channel state information based on the angle domain, and the phase shift matrix of IRS was obtained.Then, the closed-form expressions of outage probabilities of terrestrial users were derived when users were static and moving, respectively.Furthermore, the asymptotic outage probability formulas at high signal-to-noise ratio were also derived to analyze the system performance.Finally, the correctness of derivation and the influence of main parameters on outage performance were verified by computer simulations.…”
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Meta-path convolution based heterogeneous graph neural network algorithm by QIN Zhilong, DENG Kun, LIU Xingyan

“…In the multilayer graph convolution calculation, each node is usually represented as a single vector, which makes the high-order graph convolution layer unable to distinguish the information of different relationships and sequences, resulting in the loss of information in the transmission process. To solve this problem, a heterogeneous graph neural network algorithm based on meta-path convolution was proposed. …”
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Optimizing Handover Parameters by Q-Learning for Heterogeneous Radio-Optical Networks by Sihua Shao, Guanxiong Liu, Abdallah Khreishah, Moussa Ayyash, Hany Elgala, Thomas D. C. Little, Michael Rahaim

“…Existing literature studying the access point (AP)-user association problem of heterogeneous radio-optical networks either investigates quasi-static network selection or only considers vertical handover (VHO) dwell time from optical to radio. …”
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An Efficient Approach for Stimulating Cooperation among Nodes in Wireless Sensor Networks by Hongyun Xu, Ding Wang, Shigen Shen, Youqun Shi, Qiying Cao

“…A Wireless Sensor Network (WSN), characterized as being self-organizing and multihop, consists of a large number of low-power and low-cost nodes. …”
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Multibranch 3D-Dense Attention Network for Hyperspectral Image Classification by Junru Yin, Changsheng Qi, Wei Huang, Qiqiang Chen, Jiantao Qu

“…By introducing global average pooling instead of a fully connected layer, the number of parameters in the whole network will be reduced. …”
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PERFORMING AN ANALYSIS OF ARRAY WAVEGUIDE (AWG) MULTIPLEXER BASED ON AN OPTICAL NETWORK by Hussein Ahmed Ali

“… Rapid advances in optical technology have created potential solutions for enabling high capacity networks. The main problem in optical communication in the Ministry of Communication at the  Republic of  Iraq is dedicating a small bandwidth for each user. …”
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Routing Protocols in Underwater Acoustic Sensor Networks: A Quantitative Comparison by Guangjie Han, Na Bao, Li Liu, Daqiang Zhang, Lei Shu

“…Underwater Acoustic Sensor Networks (UASNs) have drawn great attention for their potential value in ocean monitoring and offshore exploration. …”
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Image retrieval method based on data mining and deep residual network by Hongzhi Yuan, Wei Hu

“…To overcome the vanishing gradient problem of traditional residual networks in deep structures, an improved residual network structure was introduced in the study, and optimization was performed simultaneously by combining the spatial transformation network and the feature enhancement module. …”
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Coverage Capacity Optimization for Mobile Sensor Networks Based on Evolutionary Games by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…The optimal and distributed provisioning of high coverage capacity in mobile sensor networks is known as a fundamental but hard problem. …”
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CGTS: graph transformer-based anomaly detection in controller area networks by Xue Zhou, Guihe Qin, Yanhua Liang, Jiaru Song, Wanning Liu, Qingxin Liu

“…Abstract Anomaly detection in the Controller Area Network (CAN) bus is critical for ensuring the security and reliability of intelligent connected vehicles, which are increasingly prevalent. …”
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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network by Liming Li, Shubin Zheng, Chenxi Wang, Shuguang Zhao, Xiaodong Chai, Lele Peng, Qianqian Tong, Ji Wang

“…This work presents a new method for sleeper crack identification based on cascade convolutional neural network (CNN) to address the problem of low efficiency and poor accuracy in the traditional detection method of sleeper crack identification. …”
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Fairness-Aware Utility Maximization for Multi-UAV-Aided Terrestrial Networks by Nishant Gupta, Satyam Agarwal, Aymen Fakhreddine

“…Integrating unmanned aerial vehicles (UAVs) with terrestrial networks can enable high-speed communication in various applications. …”
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Tomato detection in natural environment based on improved YOLOv8 network by Wancheng Dong, Yipeng Zhao, Jiaxing Pei, Zuolong Feng, Zhikai Ma, Leilei Wang, Simon Shemin Wang

“…The method replaces the backbone network of the original YOLOv8 with a more lightweight MobileNetV3 structure to reduce the number of parameters of the model; at the same time, it integrates the convolutional attention mechanism module (CBAM) in the feature extraction network, which enhances the network's capability of extracting features of tomato fruits. …”
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Intelligent Transmission Power Allocation for Distributed Beamforming in Wireless Sensor Networks by Sungmoon Chung, Inwhee Joe

“…Therefore, we studied about the channel characteristic and required transmission power according to the number of cooperating nodes and the distance theoretically to overcome these problems. As a result, we propose an Intelligent Transmission Power Allocation (ITPA) algorithm to guarantee the required channel capacity considering dynamic channel statement, the number of cooperating source nodes, and the distance between the average source nodes and destination with simplicity computation. …”
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Balanced Multi-Class Network Intrusion Detection Using Machine Learning by Faraz Ahmad Khan, Asghar Ali Shah, Nizal Alshammry, Saifullah Saif, Wasim Khan, Muhammad Osama Malik, Zahid Ullah

“…Researchers are trying to build a Network Intrusion Detection System (NIDS) that can accurately detect the zero-day attacks evolved through minor changes. …”
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