Differentiated Service Based Interference-Aware Routing for Multigateway Multiradio Multichannel Wireless Mesh Networks by Jihong Wang, Wenxiao Shi, Yinlong Xu, Yuxin Li

“…Simulations reveal that the proposed metric outperforms state-of-art metrics in terms of the average network throughput and average end-to-end delay.…”
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Effective Customization of Evolutionary Algorithm-Based Energy Management System Optimization for Improved Battery Management in Microgrids by Alessandro Niccolai, Silvia Trimarchi, Lisa Francesca Barbazza, Alessandro Gandelli, Riccardo Zich, Francesco Grimaccia, Sonia Leva

“…The proposed system is highly flexible, making it applicable to different network architectures and various objective functions. …”
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A Novel Centrality-Based Attack Simulation: Evaluating Resilience and Vulnerability in China’s Knowledge Networks by Tianxing Zhu, Jinyang Liu, Changxin Song, Xuan Miao, Sheng Zhu

“…Using SCI/SSCI co-authorship data across 286 Chinese cities, this research evaluated network resilience through six key metrics, average clustering coefficient, average degree, average path length, global efficiency, isolated nodes ratio, and largest connected component ratio, thus revealing three key conclusions: First, network density and regional integration surged after 2015, peaking in localized clustering during 2021–2022; yet, post-2022, structural fragmentation and efficiency declines exposed critical vulnerabilities. …”
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Fracture identification and 3D reconstruction of coal-rock combinations based on VRA-UNet network by Dengke WANG, Longhang WANG, Yaguang QIN, Le WEI, Tanggen CAO, Wenrui LI, Lu LI, Xu CHEN, Yuling XIA

“…The research results indicate that the VRA-UNet model performs well in crack extraction and recognition, with an average intersection to union ratio, pixel average value, and recognition accuracy of 85.22%, 90.80%, and 91.95%, respectively; Compared with mainstream segmentation networks UNet, PSPNet, DeeplabV3+, FCN, and SegNet the average intersection to union ratio of the VRA-UNet model has increased by 6.05%, 16.7%, 10.77%, 6.87%, and 6.4% respectively. …”
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Reliable forwarding strategy based on multiple attribute decision-making in NDN-Ad Hoc networks by HAN Jiangping, WANG Haodong, YANG Jiayu, XUE Kaiping, LI Jian

“…To address transmission failures in traditional Ad Hoc networks, which was caused by highly dynamic topologies, short-lived connections characteristics, a reliable forwarding strategy based on link stability and content accessibility forwarding (RF-LSCA) based on the named data networking (NDN) architecture was designed. …”
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Optimizing PV Panel Segmentation in Complex Environments Using Pre-Training and Simulated Annealing Algorithm: The JSWPVI by Rui Zhang, Ruikai Hong, Qiannan Li, Xu He, Age Shama, Jichao Lv, Renzhe Wu

“…The JSWPVI employs a semi-supervised approach to construct and optimize a comprehensive segmentation network, incorporating the Spatial and Channel Weight Adaptive Model (SCWA) module to integrate different feature layers by reconstructing the spatial and channel weights of feature maps. …”
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Double-layer stacking optimization for electricity theft detection considering data incompleteness and intra-class imbalance by Leijiao Ge, Jingjing Li, Tianshuo Du, Luyang Hou

“…To address these issues, this paper presents a method utilizing a two-stage time-series generative adversarial network (TimeGAN) with an integrated two-layer stacking optimization configuration. …”
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Comparison and Optimization of Generalized Stamping Machine Fault Diagnosis Models Using Various Transfer Learning Methodologies by Po-Wen Hwang, Yuan-Jen Chang, Hsieh-Chih Tsai, Yu-Ta Tu, Hung-Pin Yang

“…Four prominent deep learning architectures—a 10-layer convolutional neural network (CNN), a CNN with residual connections (CNN-Res), VGG16, and ResNet50—were rigorously evaluated in conjunction with fine-tuning strategies to determine the optimal model architecture. …”
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Performance Analysis of a TDMA-based Wireless Sensor Networks Protocol with Cognitive Radio Capabilities by Israel Leyva Mayorga, Mario E. Rivero Ángeles, Chadwick Carreto Arellano, Vicent Pla

“…The main objective of Cognitive Radio (CR) is optimizing spectrum utilization in multi-carrier systems and has been studied to increase performance in wireless sensor networks (WSN). …”
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An Enhanced Deep Q Network Algorithm for Localized Obstacle Avoidance in Indoor Robot Path Planning by Cheng Chen, Jiantao Yu, Songrong Qian

“…In addition, the idea of Munchausen Deep Q Network (M-DQN) is incorporated to guide the robot to learn the optimal policy more effectively. …”
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SADNet: sustained attention decoding in a driving task by self-attention convolutional neural network by Shuzhong Lai, Lin Yao, Yueming Wang

“…However, existing methods for decoding attention states from EEG signals face challenges such as insufficient feature extraction, inadequate representation of attention in a normal state, and weak interpretability.Methods To address these issues, we propose a sustained attention state decoding model called Sustain Attention State Decoding Neural Network (SADNet). By combining depthwise separable convolution and self-attention mechanisms, the model applies different attention to signals in the temporal and spatial domains, extracting effective local and global channel features for attention state recognition.Results In within-subject and cross-subject experiments on publicly available datasets, SADNet achieves state-of-the-art performance with an average F1-Score of 0.8894 and 0.6156 respectively, and an average AUC of 0.9545 and 0.7024, outperforming existing models in comparative experiments. …”
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Hybrid YOLOv8 and Fast R-CNN for Accurate Schematic Detection in Power Distribution Networks by Aviv Yuniar Rahman, Zuhaina Zakaria

“…A key contribution of this work is the integration of ensemble techniques—Soft Voting, Hard Voting, and Weighted Average Voting— which further optimize detection performance by effectively aggregating predictions from both models. …”
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Evaluating Network Performance in a Web-Based Augmented Reality System for Lipmatte Color Recommendation by Zulfikri Paidi, Nurhanna Md Abd Wahid, Nurzaid Muhd Zain, Mahfudzah Othman

“…For instance, the average network transfer rate increased from 1.29 KB/s with four devices to 2.47 KB/s with twenty devices, confirming the system's ability to handle larger data flows efficiently. …”
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A Novel Grouting Diffusion Monitoring System Based on ZigBee Wireless Sensor Network by Xiangpeng Wang, Tingkai Wang, Jinyu Gao, Meng Yang, Fanqiang Lin, Yong Jia

“…ZigBee network performance tests in three simulated environments and a field test showed that the packet loss rate (PLR) was less than 2% from 0 to 50 m, ensuring network communication in grouting project scenarios. …”
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A Stochastic Approach to Energy Cost Minimization in Smart-Grid-Enabled Data Center Network by Abolfazl Ghassemi, Pejman Goudarzi, Mohammad R. Mirsarraf, T. Aaron Gulliver

“…We propose a Lyapunov drift-plus-penalty- (LDPP-) based algorithm to optimize the average power cost for a data center network. …”
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Multi-Step Span Loss Prediction in Optical Networks Using Multi-Head Attention Transformers by Maryam Hedayatnejad, Yinqing Pei, David Boertjes, Dacian Demeter, Christian Desrosiers, Christine Tremblay

“…Span Loss is a pivotal characteristic of optical networks, and its accurate prediction enables adjustment for optimal performance and proactive monitoring. …”
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Research of service-differentiated admission control based on Markov decision processes in heterogeneous wireless networks by DENG Qiang1, CHEN Shan-zhi2, HU Bo1, SHI Yan1

“…Service-differentiated admission control was studied in heterogeneous wireless networks.Capacity regions of voice and data services in CDMA cellular network and WLAN were derived.A theoretical model of admission control with differentiated services was proposed on basis of Markov decision processes theory,in which the admission actions were specified for each traffic service and system state transition probabilities were formulated.Furthermore,a fuzzy logic admission utility evaluation mechanism was presented based on the analysis of relationship of QoS requirements and network state,then the optimal admission control policy that maximizes overall utility with new and handoff call blocking probability constraints was formulated.The simulation results reveal that network dynamics can be captured by the proposed utility evaluation mechanism.And the average utility earned in the optimal admission control policy was significantly larger than two other schemes in which service differentiation and mobility are not considered,in addition,the new and handoff call blocking probability can be strictly constrained.…”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…To overcome these limitations, we developed GNNSeq, a novel hybrid machine learning model that integrates a Graph Neural Network (GNN) with Random Forest (RF) and XGBoost. …”
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Improved AODV route recovery in mobile ad-hoc networks using a genetic algorithm by Ahmad Maleki, Mehdi Sadeghzadeh

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A mathematical PAPR estimation of OTFS network using a machine learning SVM algorithm by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The article presents a Support Vector Machine (SVM) algorithm to lower the peak-to-average power ratio (PAPR) in networks that work in orthogonal time frequency space (OTFS). …”
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