Multi-objective Optimization of Staggered Tube Banks in Cross-flow Using Machine Learning and Genetic Algorithm by A. Tamanaei, F. Kowsary, S. Sahamifar, F. Samadi

“…This paper presents the numerical multi-objective optimization of staggered tube banks in cross-flow using neural networks and genetic algorithm. …”
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PNet-IDS: A Lightweight and Generalizable Convolutional Neural Network for Intrusion Detection in Internet of Things by Auwal Sani Iliyasu, Abdul Jabbar Siddiqui, Houbing Song, Fahad Jibrin Abdu

“…To address this pressing issue, we propose PNet-IDS, a novel lightweight convolutional neural network (CNN)-based method to reduce computational complexity and optimize on-device resource usage for real-time intrusion detection. …”
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Financial Market Evaluation Utilizing an Optimized Deep-Learning Model: A Case Study of the Nikkei 225 by Karthikeyan M P

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Multi-Objective Optimization of UAV Relay Deployment for Air-to-Ground Communications via Distributed Collaborative Beamforming by Yang Yang, Xin Feng, Jing Zhang, Hongwei Yang, Tingting Zheng

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Evaluating end-to-end autonomous driving architectures: a proximal policy optimization approach in simulated environments by Ângelo Morgado, Kaoru Ota, Mianxiong Dong, Nuno Pombo

“…The findings highlight the strengths of PPO in managing continuous control tasks, achieving smoother and more adaptable driving behaviors than value-based algorithms like Deep Q-Networks. However, challenges remain in generalization and computational demands, with end-to-end systems requiring extensive training time. …”
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A Three-Tier Deep Learning-Based Channel Access Method for WiFi Networks by Yiwei Huang, Kwan-Wu Chin

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CFR-YOLO: A Novel Cow Face Detection Network Based on YOLOv7 Improvement by Guohong Gao, Yuxin Ma, Jianping Wang, Zhiyu Li, Yan Wang, Haofan Bai

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Boosting EEG and ECG Classification with Synthetic Biophysical Data Generated via Generative Adversarial Networks by Archana Venugopal, Diego Resende Faria

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An investigation on energy-saving scheduling algorithm of wireless monitoring sensors in oil and gas pipeline networks by Zhifeng Ma, Zhanjun Hao, Zhenya Zhao

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Lightweight deep neural network for contour detection and extraction of wheat spikes in complex field environments by Xin Xu, Haiyang Zhang, Jiangchuan Lu, Ziyi Guo, Juanjuan Zhang, Jibo Yue, Hongbo Qiao, Xinming Ma

“…The algorithm innovatively constructs a lightweight depthwise separable network (LDSNet) as backbone, balancing computational efficiency and accuracy through channel re-parameterization strategy; incorporates an Efficient Local Attention (ELA) module to build feature enhancement networks, and employs dual-path feature fusion mechanisms to strengthen edge texture responses, significantly improving discrimination of overlapping spikes and complex backgrounds. …”
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Using Surrogate Models in the Construction of a Pareto-Optimal Positioning Electropneumatic Actuator with Discrete Pneumatic Valves by M. O. Sheykin, S. N. Cherkasskikh, D. V. Shilin, V. V. Fedenkov

“…The Latin hypercube method was used to analyze the parameters, which provided uniform filling of the parameter space. To reduce computational costs, surrogate models, built using neural networks, were used. …”
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A Lightweight YOLOv8s Algorithm for Ceiling Fan Blade Defect Detection With Optimized Pruning and Knowledge Distillation by Qinyuan Huang, Chen Fan, Yuqi Sun, Jiaxiong Huang, Wengziyang Jiang

“…Detecting these surface defects is crucial; however, accurate and rapid detection typically involves complex machine vision algorithms, such as You Only Look Once (YOLO) networks, that require considerable computing resources, which contradicts the industry’s preference for simpler algorithms that can be deployed using low-cost computing power. …”
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PSLDV-Hop: a robust localization algorithm for WSN using PSO and refinement process by Bhupinder Kaur, Deepak Prashar, Arfat Ahmad Khan, Seifedine Kadry, Jungeun Kim

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Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

“…Next, to effectively reduce the redundant control points in the control network and decrease the computation time required for bundle adjustment, we then proposed a control network-thinning algorithm based on a K-D tree fast search. …”
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A Novel Charging Management and Security Framework for the Electric Vehicle (EV) Ecosystem by Safa Hamdare, David J. Brown, Yue Cao, Mohammad Aljaidi, Sushil Kumar, Rakan Alanazi, Manish Jugran, Pratik Vyas, Omprakash Kaiwartya

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Design and Optimization of an Integrated Visible Light Communication and Localization System Using Liquid Crystal Based-RIS Receivers by Raphael Ahiaklo-Kuz, Sylvester Aboagye, Omar Maraqa, Telex M. N. Ngatched

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Optimization of a portable ligand-free optical spectroscopy method for SARS-CoV-2 protein detection by Fatin Hamimi Mustafa, Nik Yusnoraini Yusof, Mawaddah Mohd Azlan, Fariza Hanim Suhailin, Chan Yean Yean, Nik Mohd Noor Nik Zuraina, Mohd Zulkifli Salleh, Hironaga Uchida, Irneza Ismail, Rosline Hassan, Raja Kamarulzaman Raja Ibrahim, Mohd Adzir Mahdi

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Investment Allocation Method for Distribution Networks Based on a Panel Data Model and an Incentive–Penalty Mechanism by Jian Zhang, Jianzhou Wen, Zhen Lu, Jiang Qian, Ning Wei

“…The case study showed the following points. (1) The differences among the distribution networks were significant and, thus, the fixed effects model could be employed to effectively compute the investment scale. (2) Given the differences in the construction and investment productivity of various distribution networks, the proposed method to calculate the complete investment productivity could be used to adjust the allocation of the investment amount and achieve an optimal allocation of funds. …”
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DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

“…This paper presents an optimized DeepLabV3+-based framework for visual SLAM that integrates image semantic segmentation with automated point cloud semantic annotation. …”
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Optimal Disturbance Rejection with Zero Steady-State Error for Nonlinear Vehicle Suspension Systems under Persistent Road Disturbances by Xiao-Fang Zhong, Shi-Yuan Han, Xi-Xin Yang, Yuan-Lin Guan, Jin Zhou

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