Proposal of a flood damage road detection method based on deep learning and elevation data by Jun Sakamoto

“…In this study, we propose a method to automatically determine inundated road segments by floods using image recognition technology, a deep learning model, and elevation data. …”
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A Wind Power Forecasting Method Based on Lightweight Representation Learning and Multivariate Feature Mixing by Chudong Shan, Shuai Liu, Shuangjian Peng, Zhihong Huang, Yuanjun Zuo, Wenjing Zhang, Jian Xiao

“…However, the forecasting of wind power is subject to the complex influence of multiple variable features and their interrelationships, which poses challenges to traditional forecasting methods. As an effective feature extraction technique, representation learning can better capture complex feature relationships and improve forecasting performance. …”
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An Image-Text Sentiment Analysis Method Using Multi-Channel Multi-Modal Joint Learning by Lianting Gong, Xingzhou He, Jianzhong Yang

“…To address these issues, this study proposes an innovative multi-channel multimodal joint learning method for image-text sentiment analysis. …”
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A Dynamic Interference Detection Method of Underwater Scenes Based on Deep Learning and Attention Mechanism by Shuo Shang, Jianrong Cao, Yuanchang Wang, Ming Wang, Qianchuan Zhao, Yuanyuan Song, He Gao

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Wind Turbine Blade Defect Recognition Method Based on Large-Vision-Model Transfer Learning by Xin Li, Jinghe Tian, Xinfu Pang, Li Shen, Haibo Li, Zedong Zheng

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RL–Fusion: The Large Language Model Fusion Method Based on Reinforcement Learning for Task Enhancing by Zijian Wang, Jiayong Li, Yu Liu, Xuhang Li, Cairong Yan, Yanting Zhang

“…The results show that RL–Fusion is an effective and scalable model fusion solution that improves performance without increasing the computational cost of traditional optimization methods and has a wide range of applications in AI research and practice.…”
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MSPO: A machine learning hyperparameter optimization method for enhanced breast cancer image classification by Haonan Li, Vijay Govindarajan, Tan Fong Ang, Zaffar Ahmed Shaikh, Amel Ksibi, Yen-Lin Chen, Chin Soon Ku, Ming Chern Leong, Fatiha Hana Shabaruddin, Wan Zamaniah Wan Ishak, Lip Yee Por

“…To overcome the inefficiencies and weaknesses of conventional hyperparameter optimization methods, like limited effectiveness and vulnerability to premature convergence, this research proposes a Multi-Strategy Parrot Optimizer (MSPO) and applies it to breast cancer image classification tasks. …”
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Design of an Exam Cheating Detection System Application Based on Machine Learning with the Computer Vision Method by Andra Putra Hendrawan, Esti Wijayanti, Ahmad Abdul Chamid

“…This study aims to design and develop a machine learning-based exam cheating detection system with computer vision methods. …”
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A Hybrid Method of 1D-CNN and Machine Learning Algorithms for Breast Cancer Detection by Ahmed Adil Nafea, Manar AL-Mahdawi, Khattab M Ali Alheeti, Mustafa S. Ibrahim Alsumaidaie, Mohammed M AL-Ani

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Pilot climate resilient cities and ecological resilience: evidence from double machine learning method by Tian Zhang, Tian Zhang, Chao Wang, Chao Wang, Dingkang Duan, Dingkang Duan

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A Long-Term Target Search Method for Unmanned Aerial Vehicles Based on Reinforcement Learning by Dexing Wei, Lun Zhang, Mei Yang, Hanqiang Deng, Jian Huang

“…Consequently, TAGRL demonstrates faster learning speeds and lower memory consumption compared to existing parallel environment learning methods. …”
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A Multi-Spatial Scale Ocean Sound Speed Prediction Method Based on Deep Learning by Yu Liu, Benjun Ma, Zhiliang Qin, Cheng Wang, Chao Guo, Siyu Yang, Jixiang Zhao, Yimeng Cai, Mingzhe Li

“…Traditional numerical and statistical forecasting methods often exhibit suboptimal performance under complex conditions, whereas deep learning approaches demonstrate promising results. …”
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The role of the tourism English automatic translation method based on deep learning in tourism economic development by Xing Ming, Dan Han

“…This study presentss an automatic translation method for tourism English based on deep learning. …”
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A novel interval prediction method in wind speed based on deep learning and combination prediction by XueJun Chen, Tao Han, Peng Cheng, Xuanfang Da

“…Abstract The combined method for interval forecasting (CMIF) is proposed for improved real-time prediction of wind speed uncertainty to facilitate wind turbine operation and power grid dispatching. …”
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EST-STFM: An Efficient Deep-Learning-Based Spatiotemporal Fusion Method for Remote Sensing Images by Qiyuan Zhang, Xiaodan Zhang, Chen Quan, Tong Zhao, Wei Huo, Yuanchen Huang

“…By integrating images with different spatial and temporal characteristics, it is possible to generate remote sensing data with enhanced detail and frequency. However, existing methods face the following challenges: 1) traditional approaches rely on linear assumptions; 2) convolutional neural networks in deep learning struggle with capturing global context; 3) generative adversarial networks suffer from mode collapse; and 4) while Transformers excel at modeling global dependencies, they are computationally intensive. …”
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A framework for the formulation of security issues in the field of e-learning using Meta-Synthesis method by Abouzar Arabsorkhi, Afshin Khodabandeh, Laleh Tashakori

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Comparative Study on Total Organic Carbon Content Logging Prediction Method Based on Machine Learning by TANG Shengshou, YANG Bin, JIN Jiulong, LIU Hongrui, DAI Xingyu, PU Jincheng

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A BEARING DEEP LEARNING TRANSFER DIAGNOSIS METHOD BASED ON OPTIMIZATION OF SYMMETRIC POLAR COORDINATES by WU DingHai, WANG HuaiGuang, SONG Bin, ZHANG YunQiang

“…Therefore, a bearing fault diagnosis method based on symmetric polar coordinates and residual network transfer learning is proposed in this paper. …”
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No-Reference Video Quality Assessment based on The Dover Framework using A Transfer Learning Method by Ardhi Muda Ariska, Tubagus Maulana Kusuma

“…This study explores video quality measurement using the DOVER framework combined with a transfer learning method. While existing approaches often rely on end-to-end fine-tuning that requires substantial computational resources, this study introduces and validates a more efficient implementation. …”
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Novel Deep Learning Method in Hip Osteoarthritis Investigation Before and After Total Hip Arthroplasty by Roel Pantonial, Milan Simic

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