Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

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Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

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Research Progress in the Screening of Antimicrobial Substances Based on Machine Learning by HOU Jiangxia, JIANG Jinhui, WANG Chenxin, WANG Lan, SHI Liu, WU Wenjin, GUO Xiaojia, CHEN Sheng, CHEN Lang, CAO Feng, SUN Li, ZHOU Zhi

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Research on Trajectory Planning of Fermented Grains Grasping Mechanical Arms by Xuan Liu, Zhaomin Wu, Chang Wang, Jianhua Zhang

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Progress in Interdisciplinary Research: Evidence From the COVID-19 Pandemic by Shufang Huang

“…In this study, we employed Python-based algorithms to analyze 156,674 publications from the Web of Science database, tracing the development of coronavirus research and interdisciplinary collaboration. …”
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Research on the Virtual Coupling Technology for Urban Rail Transit Trains by YANG Weifeng, LEI Chengjian, HAN Chen, LI Qihe, XIE Xing

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Computer Science in Sport – Research and Practice: A book review by Stuart Morgan

“…Furthermore, resources for students and practitioners across this range of areas are scarce, and the new-release textbook Computer Science in Sport: Research and Practice edited by Professor Arnold Baca, provides much of the foundation knowledge required for working in sports informatics. …”
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Ethical AI in Social Sciences Research: Are We Gatekeepers or Revolutionaries? by Remus Runcan, Vasile Hațegan, Ovidiu Toderici, Gabriel Croitoru, Mihaela Gavrila-Ardelean, Lavinia Denisia Cuc, Dana Rad, Alina Costin, Tiberiu Dughi

“…While AI offers efficiency and scalability in research, unresolved issues related to algorithmic bias, governance, and public trust persist. …”
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GLOBAL TRENDS ON RESEARCH TOWARDS THE VALUATION PROCESS OF AN AGRICULTURE LAND by Silvia CHIOREAN, Iulia COROIAN, Tudor SĂLĂGEAN, Mircea Emil NAP, Jutka DEAK, Ioan LUPUȚ

“…The increased use of data analytics and machine learning algorithms enables better prediction of land values based on various factors such as soil quality, climate, and historical performance by processing large datasets. …”
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Research on Customer Churn Prediction Using Machine Learning Models by Jia Xiaolei

“…With the increasing availability of customer data and advancements in machine learning techniques, accurate churn prediction has become more feasible and impactful. This research compares and analyzes the advantages and disadvantages of three different machine learning algorithms applied to customer churn prediction: random forest, decision tree, and neural network. …”
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EnrichKit: a multi-omics tool for livestock research by Lihe Liu, Francisco Peñagaricano

“…Its tailored approach for species-specific analysis, combined with a comprehensive computational framework, positions it as a valuable tool for researchers. The potential of EnrichKit to transform livestock genomics research is evident, opening avenues for future enhancements and broader applications in the livestock omics research field.…”
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Review of Research on Artificial Intelligence-driven Joint Radar Communication by Xianmei WANG, Xiangbo LIU, Yuzheng REN, Yang LU, Haijun ZHANG

“…Finally, the article is summarized, and the potential technical challenges and future research directions in this field are described.…”
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Research Progress on Data-Driven Industrial Fault Diagnosis Methods by Liang Lei, Weibin Li, Shiwei Zhang, Changyuan Wu, Hongxiang Yu

“…Finally, the paper looks ahead to the future development of data-driven fault diagnosis methods, pointing out that data quality, interpretability of deep learning, and edge-based large models are important research directions that urgently require breakthroughs.…”
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Research progress and prospects of grating linear displacement measurement technology by ZHAO Zhicai, YU Hai, WAN Qiuhua, ZHAO Changhai, LI Yongjie

“…It reviews the research progress in these three areas and summarizes the strengths and limitations of existing studies: the grating linear displacement measurement technology based on Moire fringes is constrained by the diffraction limit, which hinders further improvements in resolution; the technology based on diffraction gratings struggles with absolute position measurement; and the technology based on image processing algorithms suffers from low integration and limited measurement range. …”
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METHODICAL ASPECTS OF SYSTEM MAXIMA IN LEARNING PROCESS OF OPERATIONS RESEARCH by Taras Kobylnyk, Ulyana Kogut

“…Training of operations research of bachelors of Computer Science is particularly important because combines both fundamental concepts and principles of mathematics and informational different disciplines and applied models and algorithms for their use. …”
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AI in biomedical research: unleashing the potential of a transformative partnership by Zeba Haque, Farina Hanif, Muhammad Owais

“… Biomedical Science research, by its very nature, generates colossal volumes of data ranging from genomics to medical imaging, that is both complex and diverse. …”
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Research and application of natural air-cooled traction transformer for EMU by JIN Jun

“…The analysis revealed the superior application advantages and economic benefits of natural air-cooled traction transformers compared to traditional forced air-cooled designs. Through systematic research on key technologies, such as the complex flow field distribution of natural air, matching mechanisms for natural air cooling, designs for high impedance and low loss, and algorithms for multi-dimensional line transient temperature rise, a natural air-cooled traction transformer for EMUs was designed and implemented as the first of its kind in China. …”
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Research on the Force Control System of Rotary Crusher Loading Testbed by Ge Li, Qingkai Wang, Gang Shen

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Ai And Creative Research In Algerian Universities: Faculty Perspectives On Integration by Meryem Kehal

“…The research hypothesizes that faculty members generally perceive AI integration positively, recognizing its potential to enhance creativity and streamline research processes. …”
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Research on the robustness of the open-world test-time training model by Shu Pi, Xin Wang, Jiatian Pi

“…IntroductionGeneralizing deep learning models to unseen target domains with low latency has motivated research into test-time training/adaptation (TTT/TTA). …”
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