A Hybrid Spatial–Temporal Deep Learning Method for Metro Tunnel Displacement Prediction Under “Dual Carbon” Background by Jianyong Chai, Limin Jia, Jianfeng Liu, Enguang Hou, Zhe Chen

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Power Operation Violation Identification Method Based on Point Cloud Data Preprocessing and Deep Learning under the Architecture of IoT by Shibo Yang, Weiping Fu, Lishuo Zhang, Zhaolei Wang

“…Aiming at the problems of low recognition accuracy and large memory occupation when using point cloud information for power operation violation, A power operation violation recognition method based on point cloud data preprocessing and deep learning under the architecture of Internet of things (IoT) is proposed. …”
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Survey on Replay-Based Continual Learning and Empirical Validation on Feasibility in Diverse Edge Devices Using a Representative Method by Heon-Sung Park, Hyeon-Chang Chu, Min-Kyung Sung, Chaewoon Kim, Jeongwon Lee, Dae-Won Kim, Jaesung Lee

“…Consequently, designing strategies that balance the preservation of past knowledge with rapid and cost-effective updates of model parameters has become a critical consideration in on-device continual learning. This paper presents an empirical survey of replay-based continual learning studies, considering the nearest class mean classifier with replay-based sparse weight updates as a representative method for validating the feasibility of diverse edge devices. …”
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Investigate the composition effect of Cu-Nb-B-Fe soft magnetic metallic glasses using deep learning method by ZhaoHui Huang, TianTian Zhang

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A Machine Learning Method for the Fast Simulation of the Scattering Characteristics of a Target Under a Planar Layered Medium by Zhaoyu Wang, Qinghe Zhang, Zhaoyang Shen, Lei Zhang, Han Liu

“…The numerical results demonstrate that, compared with traditional machine learning methods, the cyclic nested machine learning network architecture offers higher prediction accuracy and learning efficiency, validating the effectiveness of the proposed method.…”
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Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier by Masoumeh Bourjandi, Meisam Yadollahzadeh‐Tabari, Mehdi GolsorkhtabariAmiri

“…In this work, a three‐phase stacked method named CNN‐LSTM‐FSC is proposed, which uses the Convolutional Neural Network (CNN), Long Short‐Term Memory (LSTM), and Fuzzy Soft‐max Classifier (FSC) to overcome the mentioned constraints. …”
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A new method of semi-supervised learning classification based on multi-mode augmentation in small labeled sample environment by Yuxuan Liu, Chenglin Wen

“…Abstract Semi-supervised learning mitigates the problem of labeled data scarcity by utilizing unlabeled data, but the generalization performance of existing methods usually degrades significantly when the unlabeled data is small in size or poor in quality. …”
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Integrated Spatiotemporal Hybrid Solar PV Generation Forecast Between Countries on Different Continents Using Transfer Learning Method by Bowoo Kim, Kaouther Belkilani, Gerd Heilscher, Marc-Oliver Otto, Jeung-Soo Huh, Dongjun Suh

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Research on fault diagnosis method for variable condition planetary gearbox based on SKN attention mechanism and deep transfer learning by Nai-Qiu Huang, Meng-Meng Song, Yao-Hong Tang, Li-Xia Huang, Zhi-Wen Chen

“…Compared with traditional deep transfer learning diagnostic methods, it demonstrates higher diagnostic precision.…”
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Longitudinal Displacement Reconstruction Method of Suspension Bridge End Considering Multi-Type Data Under Deep Learning Framework by Xiaoting Yang, Chao Wu, Youjia Zhang, Wencai Shao, Linyuan Chang, Kaige Kong, Quan Cheng

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Formation control method for multiple flight vehicles based on adaptive dynamic programming by Jie XIAO, Qingpu TANG, Jiale LI, Guofei LI

“…To address these challenges, advanced control methods are essential. Reinforcement learning theory has emerged as a powerful approach to solving optimal control problems in nonlinear systems. …”
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Text-Enhanced Multimodal Method for SAR Ship Classification With Geometry and Polarization Information by Jinyue Chen, Youming Wu, Wei Dai, Wenhui Diao, Yang Li, Xin Gao, Xian Sun

“…Synthetic aperture radar (SAR) ship classification is crucial for maritime surveillance. Most existing methods primarily focus on visual or polarimetric features, often constrained by a limited feature set and facing challenges in data diversity and multimodal information integration. …”
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Short-term Power Load Forecasting Method of Data Center Considering PUE by WU Jin-song, ZHANG Shao feng, XU Xiang-min, LI Shu-tao, HUANG Yong, LIAO Xiao

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Optimization of Restricted Container Relocation Using the Monte Carlo Tree Search Method by Chaabane Abdelali, Yachba Khadidja, Bellatreche Ladjel

“…This study proposes an innovative approach based on Reinforcement Learning (RL), specifically the Monte Carlo Tree Search (MCTS) method, to address the restricted container relocation problem (RCRP). …”
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Method for counting coal mine drill pipes based on YOLOv11_OBB by ZHENG Ran, ZHANG Fukai, YUAN Guan, ZHANG Yanmei, WANG Shaopu, ZHANG Qiang, ZHAO Shan, WANG Dengke, HUO Zhanqiang, ZHANG Haiyan, HE Heng

“…To address the issues of poor generalization in downhole drilling image recognition and inaccurate drill pipe counting in coal mines, this study collected and annotated a dedicated dataset CMDPC_OBB, and proposed a method for drill pipe counting based on YOLOv11_OBB. …”
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Development of the TSR-based computational method to investigate spike and monoclonal antibody interactions by Tarikul I. Milon, Titli Sarkar, Titli Sarkar, Yixin Chen, Jordan M. Grider, Feng Chen, Jun-Yuan Ji, Seetharama D. Jois, Konstantin G. Kousoulas, Vijay Raghavan, Wu Xu

Subjects: “…TSR-based method…”
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STEP-BY-STEP TESTING METHOD: JOINT ASSESSMENT OF THE TRAINING LEVEL AND THE COMPLEXITY OF ASSIGNMENT by Ekaterina P. Mochalina, Galina V. Ivankova, Oleg V. Tatarnikov, Irina N. Maslyakova

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Study on the standardization method of radiotelephony communication in low-altitude airspace based on BART by Weijun Pan, Boyuan Han, Peiyuan Jiang

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Effect of Implicit Learning Methods With the External Focus of Attention on Bowling Skills in Children With Autism Spectrum Disorder: A Randomized Control Trial Study by Mina Khodayari, Rasoul Yaali, Farhad Ghadiri

“…ABSTRACT Purpose The aim of the current study was to compare implicit learning methods with an emphasis on the external focus of attention on bowling skill in autistic children. …”
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Evaluating the effectiveness of flipped learning in an upper-division undergraduate electrical engineering course by Bibek Kattel, Winn Elliott Hutchcraft, Elizabeth Norell

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