Research of theoretical basis of implementation of intelligent control systems for locomotive traction transmission by Oleksandr Gorobchenko, Denys Zaika, Sergiy Maliuk, Oleksandr Arkhypov, Oleksandr Nevedrov

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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…Through an analysis of these methods, the research demonstrates how applying advanced deep learning algorithms and cross-attention processes has significantly improved prediction robustness and accuracy. …”
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Machine learning as a tool for diagnostic and prognostic research in coronary artery disease by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, V. Yu. Rublev

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2D Animal Skeletons Keypoint Detection: Research Progress and Future Trends by Pengfei Ma, Ronghua Gao, Qifeng Li, Qinyang Yu, Rong Wang, Chengrong Lai, Weiwei Huang, Peng Hao, Zhaoyang Wang, Xuwen Li

“…Research on two-dimensional keypoint detection within the domain of computer vision has experienced significant advancements. …”
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Research Progress on Techniques for Quantitative Detection of Starch in Food in the Past Five Years by Xiao Wei, Fang Li, Yinfeng Liu, Song Li, Yachao Liu, Daming Dong

“…., time-consuming, cumbersome operation, over-reliance on modeling algorithms, etc.) were analyzed. Challenges and future trends are also presented with the expectation of providing useful references for future research and practical applications. …”
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Research on the Impact and Path of Human-Machine Collaborative Decision-Making on Dualistic Innovations by Bin Miao, Jiage Zhang, Jiaxing Zhang, Lu Li, Yitong Hou

“…How employees, guided by algorithmically integrated decision-making, utilize massive information and technology to catalyze creativity in this path is not yet known. …”
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Artificial intelligence in academic research: Benefits, challenges, and ethical dimensions in doctoral studies by Zaki EL HANI, Jaouad KARROUM, Abdelmajid ELOUADI, Aniss MOUMEN

“…These tools enable advanced data analysis, automate repetitive tasks, and foster cross-disciplinary collaboration, significantly improving research quality. However, this transformation is accompanied by challenges, including ethical concerns such as algorithmic bias, risks to data privacy, and over-reliance on automation, which may erode critical thinking and human judgment. …”
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Integrated Waste Management in the Circular Economy Era: Insights from Research and Practice by Charisios Achillas, Christos Vlachokostas

“…Technological advancements, such as AI-driven waste sorting and route optimization algorithms, are highlighted alongside policy frameworks supporting circular economy principles. …”
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Mapping the research framework and key trends of coral reefs in the South China Sea by Junhui Chen, Junhui Chen, Junhui Chen, Junhui Chen, Fei Tang, Fei Tang, Fei Tang, Heshan Lin, Heshan Lin, Heshan Lin, Bo Huang, Bo Huang, Bo Huang, Xueping Lin, Xueping Lin, Xueping Lin

“…Our findings categorize the research into five principal themes through text mining and bibliographic coupling: (1) fundamental physical-biological interactions within reef systems, (2) biodiversity and symbiotic relationships in response to environmental stress, (3) climatic influences and the adaptive responses of reef systems, (4) conservation strategies and management practices for reef resilience, and (5) remote sensing and algorithmic approaches for reef mapping and monitoring. …”
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Research on Financial Stock Market Prediction Based on the Hidden Quantum Markov Model by Xingyao Song, Wenyu Chen, Junyi Lu

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Overview of Applications and Research Directions of Deep Learning Methods for Wind Power Prediction by LIU Tan, LIU Na, LIU Guiping, LIU Kunjie, LIU Min, ZHUANG Xufei, ZHANG Zhonghao

“…The application of deep learning technology in wind power prediction is reviewed, and on the basis of making a careful division of deep learning technology, it focuses on analyzing the overcome problems and performance by spatial structure-based deep learning models and time-based deep learning models and their related variants, and summarizes the limitations of the proposed modeling methods and the corresponding solutions. In addition, research progress in deep learning-based wind power prediction is outlined in data processing, parameter optimization algorithms, and optimization methods for wind power prediction models. …”
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Research Progress on Vehicle Status Information Perception Based on Distributed Acoustic Sensing by Wenqiang Dong, Xin Cheng, Jingmei Zhou, Wei Liu, Jianjin Gao, Chuan Hu, Xiangmo Zhao

“…Finally, this study discusses DAS-based traffic status perception frameworks and outlines key research frontiers in vehicle status monitoring using DAS technology.…”
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A Comprehensive Overview of the Development and Research of Energy Savings of Electric Wheel Loader by Xiaotao Fei, Zuo Cheng, Shaw Voon Wong, Muhammad Amin Azman, Dawei Wang, Xiuxian Zhang, Qiuchen Shao, Qingqiu Lin

“…Building on the authors’ ongoing research, this paper categorizes EWL architectures and examines breakthroughs in hydraulic systems, drivetrain configurations, and bucket dynamics optimization. …”
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Unpacking research on computational thinking in mathematics education: A systematic literature review by Cut Morina Zubainur, Cut Rina Rossalina, Muhammad Subianto, Dwi Fadhiliani

“…This review provides insight into current research trends, key strategies, and appropriate mathematical content for CT development. …”
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Research on the Enhancement and Development of the Resilience Assessment System for Underground Engineering Disaster Risk by Weiqiang Zheng, Zhiqiang Wang, Bo Wu, Shixiang Xu, Jiacheng Pan, Yuxuan Zhu

“…The integration of intelligent static assessment models based on artificial intelligence algorithms can effectively enhance the accuracy of resilience evaluations. …”
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Research Progress on Sequence Recommendation Based on Deep Learning and Large Language Model by XU Fengru, LI Bohan, XU Shuai

“…Firstly, the research problem of sequential recommendation is defined, and the core objectives and challenges of recommendation sequences are clarified. …”
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Research on Methods for the Recognition of Ship Lights and the Autonomous Determination of the Types of Approaching Vessels by Xiangyu Gao, Yuelin Zhao

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Research and predictive analysis of pyrolysis characteristics of multi-source organic solid wastes by ZHANG Zihang, XING Bo, MA Zhongqing, HU Yanjun, ZHANG Zhixiao, YUAN Shizhen, LU Rufei, CHEN Yingquan, WANG Shurong*

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Peculiarities of acoustic diagnostic methods in pediatric practice (literature review, own research) by Yu.V. Marushko, O.V. Khomych

“…The implementation of acoustic methods into clinical practice is a promising direction that deserves further research and development. The conducted experimental studies demonstrated the ability of the "Trembita-Corona" device to accurately diagnose and localize lung lesions in community-acquired pneumonia, confirming the effectiveness of the developed methods and algorithms. …”
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Research on Grouting Dynamic Monitoring Based on Borehole–Tunnel Joint Resistivity Method by Cheng Wang, Lei Zhou, Liangjun Yan, Bofan Li

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