Joint user plane function instance and base station scheduling in mobile networks by Seokwon Jang, Namseok Ko, Jaewook Lee, Yeunwoong Kyung, Haneul Ko

“…To guarantee a high data transmission rate in heterogeneous mobile networks, sufficient small base stations (SBSs) and user plane function (UPF) instances should be active. …”
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Dynamic content-cached satellite selection and routing for power minimization in LEO satellite networks by Jeongmin Seo, Dongho Ham, Jeongho Kwak

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Application of weighted centroid algorithm based on weight correction in node localization of wireless sensor networks by Wengang Yu, ChunLing Yu

“…To improve the positioning accuracy and extend the network application range, the study proposes a weighted centre-of-mass algorithm based on weights correction, which is optimally designed from three aspects to improve the performance. …”
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Intelligent Design Method for Thermal Conductivity Topology Based on a Deep Generative Network by Qiyin Lin, Feiyu Gu, Chen Wang, Hao Guan, Tao Wang, Kaiyi Zhou, Lian Liu, Desheng Yao

“…In this study, we propose an innovative intelligent design framework integrating Conditional Deep Convolutional Generative Adversarial Networks (CDCGAN) with SIMP, capable of creating topology structures that meet prescribed thermal conduction performance. …”
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Φ-OTDR disturbance localization of communication optical cable based on moving variance average and spectral subtraction by Wei SHEN, Xin HU, Ze ZHANG, Ling JU, Jian WU, Yi HUANG

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Assessment and Optimization of Hydrological Connectivity for Effective Management of Water Resources in the Samian Watershed by Zeinab Hazbavi, Nazila Alaei

“…At Optimization Level 2, 14 nodes and 14 edges were added to the river network. …”
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Optimal H.264 Scalable Video Scheduling Policies for 3G/4G Wireless Cellular and Video Sensor Networks by Vamseedhar R. Reddyvari, Aditya K. Jagannatham

“…We consider the problem of optimal H.264 scalable video scheduling, with an objective of maximizing the end-user video quality while ensuring fairness in 3G/4G broadband wireless networks and video sensor networks. …”
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Efficient resource allocation for D2D-enabled social IoT networks: A tripartite and time-scale optimization approach by Saurabh Chandra, Rajeev Arya, Maheshwari Prasad Singh

“…Validation of the proposed algorithm using performance parameters such as sum throughput shows improvements ranging from 17% to 93%. Additionally, the average time to deliver resources to CSI users is minimized by 60.83% through optimal power usage. …”
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A hybrid GA-SA resource allocation scheme enhanced with SINR optimization for NOMA-MIMO systems in 5G networks by Murad Halabouni, Mardeni Roslee, Sufian Mousa Ibrahim Mitani, Osama M.S. Abujawa, Anwar Faizd Osman, Fatimah Zaharah Ali

“…Unlike traditional methods, which are limited by computational inefficiency or local convergence, the hybrid algorithm integrates dynamic SINR updates to adaptively optimize resources in real-time. Simulation results demonstrate that the hybrid GA-SA algorithm achieves up to 15% higher throughput compared to standard GA and SA methods, with a 20% improvement in average SINR and reduced SINR variance, ensuring fairness across users. …”
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Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The methodology employs a Subtraction-Average-Based Optimizer (SABO) to adaptively configure Time-Varying Filtered Empirical Mode Decomposition (TVFEMD), effectively resolving mode mixing through optimized parameter selection. …”
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Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network by Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO

“…Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. …”
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Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network by Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO

“…Spectrum utilization can be improved in cognitive radio network (CRN), however, the problem of increasing communication energy consumption was also brought. …”
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Identification Method for Resistance Coefficients in Heating Networks Based on an Improved Differential Evolution Algorithm by Enze Zhou, Yaning Liu, Minjia Du, Junli Yu, Wenxiao Xu

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Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

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Study on an interpretable prediction model for pile bearing capacity based on SHAP and BP neural networks by Shunbo Li, Mingwei Hai, Qi Zhang, Bin Zhou, Miao Wang, Zhuo Zhao

“…To enhance the optimization of the BP neural network’s hyperparameters, five distinct optimization algorithms were employed: the Sine Cosine Optimization Algorithm (SCA), Snake Optimization Algorithm (SO), Pelican Optimization Algorithm (POA), African Vulture Optimization Algorithm (AVOA), and Chameleon Optimization Algorithm (CSA). …”
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Switch competing migration algorithm based on process optimization in SDN by Tao HU, Jian-hui ZHANG, Wei-gong KONG, Sen YANG, Lu-jia CAO

“…In the distributed software defined network，switch se1ects rigid migration object and has coordinating migration prob1ems.The prime switch migration scheme into two processes inc1uded se1ecting migration object and dep1oying switches dynamica11y was optimized，a switch competing migration a1gorithm was proposed based on process optimization.First1y，it synthesized de1ay，traffic and fai1ure cost，and se1ected migration object.Then，according to surviva1 time，migration time and dynamic 1oad thresho1d of contro11er，switches were migrated into object contro11er through iterative competition.Resu1ts show that compared with the existed migration a1gorithms the proposed a1gorithm se1ects more reasonab1e migration objects，avoiding migration conf1ict between switches，and contro11er 1oad ba1ancing rate has been promoted to 25.6% average1y.…”
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Research on DV-Hop location algorithm based on range correction and improved gray wolf optimizer by Xiaoqiang ZHAO, Shuai WU, Chuanyi GAO, Ning LI, Bodong LI, Xiaoyong YANG

“…Node location is an important problem in wireless sensor network.Although the location algorithm based on distance measurement has small positioning error, it has many limitations when applied to outdoor environments.Therefore, based on the original distance vector-hop (DV-Hop) algorithm, received signal strength indication (RSSI) technology and the minimum mean square error (MMSE) criterion to modify the algorithm’s ranging process were introduced, and the improved gray wolf optimizer was used to optimize the process of determining the coordinates of unknown nodes.Simulation results show that, compared with the original DV-Hop algorithm and IPDV-Hop algorithm, the average location error rate of the IGDV-Hop algorithm under the initial parameters was reduced by 28% and 17% respectively, and the location effect was significantly improved.…”
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An Optimized Core Distribution Adaptive Topology Reconfiguration Algorithm for NoC-Based Embedded Systems by Bowen Hou, Dali Xu, Fangfa Fu, Bing Yang, Na Niu

“…In advanced multicore embedded systems, network-on-chip (NoC) is vital for core communication. …”
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SimProx: A Similarity-Based Aggregation in Federated Learning With Client Weight Optimization by Ayoub El-Niss, Ahmad Alzu'Bi, Abdelrahman Abuarqoub, Mohammad Hammoudeh, Ammar Muthanna

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Optimization of high-temperature drying conditions for enhanced quality of high-moisture corn by Emmanuel Baidhe, Clairmont L. Clementson, Kenneth Hellevang, Zhulu Lin

“…Scenario analysis indicated that drying temperatures of 65–81 °C and air velocities of 2–2.6 ms-1 provide optimal quality retention for high-moisture corn (>21 % wb). …”
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