Revolutionizing classification: A novel gray level co-occurrence matrix and statistical feature-based segmentation approach by Abdelwahed Motwakel

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Communication and perception integrated positioning system in tunnel construction scenarios by Yu-song You, Zhong Shen, Liu-jie Jing, Qing-hai Yang

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Cooperate or Not Cooperate: Transfer Learning With Multi-Armed Bandit for Spatial Reuse in Wi-Fi by Pedro Enrique Iturria-Rivera, Marcel Chenier, Bernard Herscovici, Burak Kantarci, Melike Erol-Kantarci

“…We present five main contributions to distributed SR optimization using Multi-Agent Multi-Armed Bandits (MA-MABs). …”
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Implementation of Personal Health Device Communication Protocol Applying ISO/IEEE 11073-20601 by Deok Seok Seo, Soon Seok Kim, Yong Hee Lee, Jong Mo Kim

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Thermal-aware resource allocation in earliest deadline first using fluid scheduling by Muhammad Naeem Shehzad, Qaisar Bashir, Ghufran Ahmad, Adeel Anjum, Muhammad Naeem Awais, Umar Manzoor, Zeeshan Azmat Shaikh, Muhammad A Balubaid, Tanzila Saba

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ORANSight-2.0: Foundational LLMs for O-RAN by Pranshav Gajjar, Vijay K. Shah

“…Additionally, the best ORANSight-2.0 configuration is compared against the available telecom LLMs, where our proposed model outperformed them with an average improvement of 27.96%.…”
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Interference-aware node access scheme in UAV-aided VANET by Xiying FAN, Chuanhe HUANG, Junyu ZHU, Shaojie WEN

“…In vehicular Ad Hoc network (VANET),frequent link handovers and channel interference can lead to increased transmission delay and decreased network throughput.To address the issues,unmanned aerial vehicle (UAV) were introduced to cooperate with vehicles and construct UAV-assisted air-ground integrated VANET.An interference-aware node access scheme was proposed.The node access problem was formulated as a multi-objective optimization problem considering link transmission rate,link handovers and transmit power.Then the optimization problem was decomposed into two convex optimization sub-problems by dual decomposition method,the sub-problem jointly optimizes handovers and link transmission rate while the sub-problem optimizes the transmit power based on link reliability.Finally,simulation results show that the proposed mechanism can effectively improve data delivery ratio,average end-to-end delay and network throughput.…”
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Spatio‐temporal dynamic navigation for electric vehicle charging using deep reinforcement learning by Ali Can Erüst, Fatma Yıldız Taşcıkaraoğlu

“…Three case studies are carried out for 24 nodes Sioux‐Falls benchmark network. It is shown that phasic policy gradient achieves an average of 9% better reward compared to proximal policy optimization and the total time decreases by 7–10% when EV owner cost is considered.…”
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GravCPA: Controller Placement Algorithm Based on Traffic Gravitation in SDN by Chenhui Wang, Hong Ni, Lei Liu

“…In this article, we take both the average latency and the worst latency between switch and controller into consideration and make a multi-objective optimization model. …”
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Method for building segmentation and extraction from high-resolution remote sensing images based on improved YOLOv5ds. by Fangzhe Chang, Tianyue Ma, Dantong Wang, Shoujie Zhu, Dengping Li, Shuntian Feng, Xiaoyong Fan

“…For edge optimization, a Raster compression module is incorporated at the end of the segmentation network to refine the segmentation contours. …”
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Prediction of bundle-conductor ampacity based on transformer-LSTM by Song Bao, Hua Bao, Miao Jin, Yong Ruan, Yunfei Shi, Chao Yang

“…Compared with the bidirectional long and short-term memory network (BiLSTM), the mean square error and average absolute error are reduced by 74.55% and 7.35%, respectively. …”
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Bio-Inspired ACO-based Traffic Aware QoS Routing in Software Defined Internet of Things by Shreyas J, Anand Jumnal, Udayaprasad P K, Rekha C, S. S. Askar, Mohamed Abouhawwash

“…The proposed approach optimizes overall network performance with utilizing the fewest resources possible by optimizing the routing path to meet application-specific QoS standards using Yen’s k shortest path algorithm. …”
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A LEO Satellite Handover Strategy Based on Graph and Multiobjective Multiagent Path Finding by Zhiyun Jiang, Wei Li, Xiangtong Wang, Binbin Liang

“…However, the high-speed mobility of satellites leads to a dynamic environment, which brings challenges for handover and network performance optimization, especially in the scenario of multiuser using the networks meanwhile. …”
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Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin by Xue Luning, Tian Mingliang, Zhao Juncheng

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Study on the Lightweighting Strategy of Target Detection Model with Deep Learning by Junli Hu

“…According to the characteristics of the target sample size, the anchor frame is designed by using a priori information. In the network training, the anchor frame by selection enhancement based on IoU optimization is used to fully train the target information and strengthen the reading ability of the network to small-scale targets. …”
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A BiLSTM-Based Hybrid Ensemble Approach for Forecasting Suspended Sediment Concentrations: Application to the Upper Yellow River by Jinsheng Fan, Renzhi Li, Mingmeng Zhao, Xishan Pan

“…The main findings are as follows: (1) The proposed model achieved an NSC improvement of 19.93% over the Extreme Gradient Boosting (XGBoost) and 15.26% over the Convolutional Neural Network—Long Short-Term Memory network (CNN-LSTM). (2) Compared to GWO- and PSO-based BiLSTM ensembles, the NGO-optimized VMD-MGGP-NGO- BiLSTM-NGO model achieved superior accuracy and robustness, with an average testing-phase NSC of 0.964, outperforming the Grey Wolf Optimization (GWO) and Particle Swarm Optimization (PSO) counterparts. (3) On testing data, the model attained an NSC of 0.9708, indicating strong generalization across time. …”
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Simulation of incremental update of electronic document information based on big data technology by Zhiyuan Jin, Qi Zhang, Tiejun Pan

“…On the basis of the feedforward neural network model, the network structure and parameters are optimized to enhance the algorithm’s learning capacity for the information characteristics of electronic documents. …”
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Real-time measurement of spatial distance to external breakage hazards of transmission pole tower based on monocular vision. by Ruchao Liao, Duanjiao Li, Changyu Li, Wenxing Sun, Gao Liu, Cong Wang

“…The method first uses a Transformer network to optimize the distribution of pseudo point clouds and designs a 3D monocular vision distance measurement method based on LiDAR. …”
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Performance Analysis of Cognitive Radio System Based on Outage Probability of Cognitive Transmission by Haomin Gao, Haifeng Zhao, Xiao Liang, Xiaomin Mu

“…It is an important part to design an optimal spectrum sensing and transmission framework in cognitive radio network.Considering that cognitive data transmission outage had effect on the performance of cognitive radio system,a novel spectrum sensing and transmission model based on the outage probability of cognitive transmission was proposed and the two phases of spectrum sensing and data transmission were jointly optimized.The model was formulated as a nonconvex optimization problem under the constraint of interference to primary user,which maximized the average achievable throughput by the joint optimization of sensing time and data transmission rate and simulated by means of the numerical method.The numerical analysis shows that a better tradeoff can be achieved among the protection of primary user,the throughput of cognitive system and transmission delay when the outage probability is cited and the constraint is satisfied.…”
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A Task Offloading and Resource Allocation Strategy Based on Multi-Agent Reinforcement Learning in Mobile Edge Computing by Guiwen Jiang, Rongxi Huang, Zhiming Bao, Gaocai Wang

“…The algorithm applies the proximal policy optimization to the multi-agent system and combines the Transformer neural network model to realize the memory and prediction of network state information. …”
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