A Deep Learning Model for Psychological Support in Student Entrepreneurship by Tao Yang, Wendong Xu, Lingbo Wang, Morozova Olga Petrovna

“…The rise in entrepreneurial endeavours has brought attention to college students’ mental health issues, and developing an accurate assessment tool for them has become a key area of study. …”
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An Intelligent System for Medical Oxygen Consumption Management Using Oximetry and Barometry by Abbas Izadi, Hadi Ghasemifard, Mohamad Amin Bakhshali, Nadia Roudsarabi, Omid Sarrafzadeh

“…The machine learning algorithms used in the system have the potential to improve patient safety by identifying potential issues in the oxygen supply chain before they become critical.  …”
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An Improved Point Cloud Filtering Algorithm Applies in Complex Urban Environments by Guangyu Liang, Ximin Cui, Debao Yuan, Liuya Zhang, Renxu Yang

“…It can effectively distinguish ground points from object points, reduce data redundancy, and improve processing efficiency, providing accurate foundational data for urban 3D modeling, environmental monitoring, and intelligent management. …”
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MATHEMATICAL MODEL OF COMPLEX PROTECTION OF AN INFOCOMMUNICATION OBJECT BASED ON "PLAYING WITH NATURE" by I. S. Klimenko

“…The algorithm of formalization of protection processes is proposed, which ensures efficient use of resources when detecting possible incidents of violation of the protection system and/or unauthorized access. …”
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Enhancing Predictive Urban Planning in European Smart Cities Through AI-Driven Digital Twin Technology: A Case Study of Greece by Dimitrios Kalfas, Stavros Kalogiannidis, Konstantinos Spinthiropoulos, Fotios Chatzitheodoridis, Evangelia Ziouziou

“…It considers the effect of specific elements including simulation accuracy, real-time data processing, artificial intelligence tools, and system readiness on the urban planning process. …”
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A Comprehensive Review of Advanced Lactate Biosensor Materials, Methods, and Applications in Modern Healthcare by Yifeng Ding, Liuhong Yang, Jing Wen, Yuhang Ma, Ge Dai, Fengfeng Mo, Jiafeng Wang

“…Despite their potential, challenges such as non-specific binding, biomaterial interference, and biorecognition element stability issues remain during practical applications. Future research should aim to improve sensor design, biocompatibility, and integration with advanced signal processing techniques. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…These issues often result in low accuracy, unreliable recognition rates, and slow convergence. …”
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Microbiology Test Results for White Edible Birds Nest with Fecal Contamination by Siti Gusti Ningrum, Ferdi Nur Ardiansyah, Hendra Aditiya Pratama, Hardika Dewi Erawati, Dian Ayu Kartika Sari

“…Addressing these issues is imperative not only to safeguard public health but also to sustain and further develop the lucrative edible bird nest industry in Indonesia.…”
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EfficientTransformer: A Dynamic Anomaly Detection Model for Industrial Control Networks by Jinyang Liu, Guogang Wang, Xuejun Zong, Bowei Ning, Kan He

“…This innovation further mitigates issues of feature redundancy and complex feature interactions, enhancing the model’s dynamic processing capability and accuracy. …”
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Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model by Tianchun Li, Wanting Zhu, Wenke Xia, Li Wang, Weiqi Li, Peiming Zhang

“…This study aims to enhance the classification accuracy of adverse events associated with the da Vinci surgical robot through advanced natural language processing techniques, thereby ensuring medical device safety and protecting patient health. …”
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Vulnerabilities and risk mitigation in Indonesia’s halal poultry chain: Bridging compliance and practice by Puji Handayani Kasih, Keny Rahmawati, Ismianti Ismianti, Astrid Wahyu Adventri Wibowo, Hasan Mastrisiswadi

“…Halal risk mitigation in certified poultry processing is the focus of this study.  The primary objectives are to map the important risk points in the halal poultry supply chain, understand how certification criteria are applied, and evaluate how stakeholder awareness and behaviour affect halal compliance. …”
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Fraud Detection in Privacy Preserving Health Insurance System Using Blockchain Technology by Md. Mazharul Islam, Mubasshir Ahmed, Rajesh Palit, Mohammad Shahriar Rahman, Salekul Islam

“…The digitization of healthcare and the health insurance industry has amplified the need for robust and trustworthy systems that ensure data security and optimize the insurance claim process. To address these issues, this paper proposes a system that ensures patient anonymity through secure credentials and advanced fraud detection mechanisms. …”
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A review of deep learning in blink detection by Jianbin Xiong, Weikun Dai, Qi Wang, Xiangjun Dong, Baoyu Ye, Jianxiang Yang

“…However, they encounter several challenges, including training data imbalance, complex environment interference, real-time processing issues and application device limitations. …”
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DIFFERENTIATION OF WORD MEANINGS IN TRANSLATION (ON THE EXAMPLE OF RUSSIAN AND TURKISH LANGUAGES) by Gulsanam A. Abduvalieva

“…The relevance of the study of lexical transformations in the process of translation is associated with the need to ensure communication between the author and recipients in terms of recreating the lexical, structural and stylistic richness of the original in the translated text. …”
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Collaborative Control Strategy of Electric–Thermal–Hydrogen-Integrated Energy System Based on Variable-Frequency Division Coefficient by Lin He, Weichun Li, Hang Xu, Yue Wu, Qi Wang, Dengke Han, Yuming Liao, Jianyong Zhao

“…To address the issues of diverse energy supply demands and power fluctuations in integrated energy systems (IESs), this study takes an IES composed of power-generation units, such as wind and photovoltaic units, along with various energy-storage systems, including electrical, thermal, and hydrogen storage, as the research subject. …”
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USD-YOLO: An Enhanced YOLO Algorithm for Small Object Detection in Unmanned Systems Perception by Hongqiang Deng, Shuzhe Zhang, Xiaodong Wang, Tianxin Han, Yun Ye

“…In the perception of unmanned systems, small object detection faces numerous challenges, including small size, low resolution, dense distribution, and occlusion, leading to suboptimal perception performance. To address these issues, we propose a specialized algorithm named Unmanned-system Small-object Detection-You Only Look Once (USD-YOLO). …”
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Synergistic task-offloading in 6G edge networks based on propagation dynamics by Chao Zhu, Yuexia Zhang, Xinyi Wang, Xuzhen Zhu

“…This model describes the dynamic transmission process of offloaded tasks in 6G edge networks and constructs two linear threshold functions to characterize the differences in task processing capabilities between UT and edge servers (ES). …”
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Enhancing Prospecting Target Prediction Precision: A Multi-Source Data Mining Approach in Gansu’s Beishan Area by Lihui Zhu, Runsheng Han, Yan Zhang, Hao Fu, Jianmin Luo, Yunzhi Luo

“…This study is founded on the core principle of geoscience big data: to “uncover correlations within data to address geological issues”. Taking geochemical prospecting and aeromagnetic data from the Beishan area in Gansu Province as a case in point, this study emphasizes the significance of meticulous data processing in averting potential errors. …”
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Smart Healthcare Network Management: A Comprehensive Review by Farag M. Sallabi, Heba M. Khater, Asadullah Tariq, Mohammad Hayajneh, Khaled Shuaib, Ezedin S. Barka

“…Recent developments in sensors, wireless communications, and data processing technologies are the main drivers for adopting the Internet of Things (IoT) in healthcare systems. …”
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Influence of knowledge management practices on librarians' competency in artificial intelligence in tertiary institutions of Lokoja, Kogi State, Nigeria by Sherif Kunle Yusuf, Abdullateef B. Oshinaike, Ismail O. Suleiman, Yinka Martins Omoniyi

“…However, limited proficiency in technical AI domains such as machine learning and natural language processing indicates a need for specialized training. …”
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