A Review of Emerging Techniques for Power Quality Improvement in Renewable Energy Integration by Kumar P. Rajesh, Shravani Chapala, Rajitha M., Lokeshwar Reddy Ch.

“…It examines state-of-the-art methods, including advanced control strategies, innovative compensation devices, and the latest developments in power electronic interfaces. Special emphasis is placed on the role of modern technologies, such as artificial intelligence (AI) and machine learning (ML), in enhancing the adaptability and robustness of PQ solutions. …”
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Study on the microcomputer system for measuring the soot emission of tractor by QIU Zheng-jun, HE Yong

“…The test software was designed using VB6.0, which had a communication module, test module and a database management module. …”
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Dashboard‑Driven Machine Learning Analytics and Conceptual LLM Simulations for IIoT Education in Smart Steel Manufacturing by Mehdi Imani, Ali Imanifard, Babak Majidi, Abdolah Shamisa

“…Building on this foundation, we propose an IIoT framework for intelligent steel manufacturing that merges ML-driven predictive analytics (employing Lasso regression to optimize energy use) with LLM-based contextualization of data streams within IIoT environments. …”
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ML-Based Maintenance and Control Process Analysis, Simulation, and Automation—A Review by Izabela Rojek, Dariusz Mikołajewski, Ewa Dostatni, Adrianna Piszcz, Krzysztof Galas

“…Automation and digitalization in various industries towards the Industry 4.0/5.0 paradigms are rapidly progressing thanks to the use of sensors, Industrial Internet of Things (IIoT), and advanced fifth generation (5G) and sixth generation (6G) mobile networks supported by simulation and automation of processes using artificial intelligence (AI) and machine learning (ML). …”
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Functional Verification of Extended Kalman Filter on FPGA for Railway Wheelset Parameters Estimation by Khakoo Mal, Tayab Din Memon, Imtiaz Hussain Kalwar, Allah Rakhio Junejo, Majid Hussain Memon, Tarique Rafique Memon, Sufyan Ali Memon, Bhawani Shankar Chowdhry

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Ergonomics/Human Factors in the Era of Smart and Sustainable Industry: Industry 4.0/5.0 by Płaza Grażyna, Kabiesz Patrycja, Thatcher Andrew, Jamil Tayyaba

“…The importance of designing systems that promote user-friendly interfaces, reduce mental and physical strain, and support sustainable work environments now becomes critical. …”
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Development of an Environmental Monitoring System Based on Spatial Marking and Machine Vision Technologies by M. M. Zaslavskiy, K. E. Kryzhanovskiy, D. V. Ivanov

“…Introduction. The use of available satellite images and aerial photography by unmanned aerial vehicles (UAVs) in the tasks of environmental monitoring is challenged by the imperfection of existing tools. …”
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Research on Elevated Temperature Mechanical Properties and Microstructure of Mg-50Ti Composite by LI Shi-tian, ZHAO Si-cong, MA Tao, GUO Er-jun, LIU Kun, ZHANG Dao-he, WANG Lei, FENG Yi-cheng, LIU Dong-rong

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Protein complexes in cells by AI‐assisted structural proteomics by Francis J O'Reilly, Andrea Graziadei, Christian Forbrig, Rica Bremenkamp, Kristine Charles, Swantje Lenz, Christoph Elfmann, Lutz Fischer, Jörg Stülke, Juri Rappsilber

“…Abstract Accurately modeling the structures of proteins and their complexes using artificial intelligence is revolutionizing molecular biology. …”
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Informationization and development strategy in blood collection and supply institutions in Beijing by WANG Yan, WANG Yong, YUAN Yao, WAN Yanli, SHI Xin, LEI Xingyun

“…[Conclusion] Blood collection and supply institutions in Beijing need to further carry out network infrastructure construction, reconstruct system architecture, improve the functions of the blood management information platform, unify data and interfaces to achieve information sharing, and use emerging technologies to achieve intelligence and precision in blood collection and supply services and management.…”
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Derivation of human-derived iPSC line from a male adolescent with first-episode of sporadic schizophrenia by Youhui Jiang, Chuqing Zhou, Jun Zhao, Xinyi Ren, Qiang Wang, Peiyan Ni, Tao Li

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AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study by Tai-Han Lin, Hsing-Yi Chung, Ming-Jr Jian, Chih-Kai Chang, Hung-Hsin Lin, Chiung-Tzu Yen, Sheng-Hui Tang, Pin-Ching Pan, Cherng-Lih Perng, Feng-Yee Chang, Chien-Wen Chen, Hung-Sheng Shang

“…The best-performing LGBM model was selected and integrated as the core of our AI-CDSS, which was built on a web interface to facilitate rapid sepsis risk assessment using CBC+DIFF data. …”
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Hidden structural phase transition assisted ferroelectric domain orientation engineering in Hf0.5Zr0.5O2 films by Yuyan Fan, Shunda Zhang, Zhipeng Xue, Yulong Dong, Danyang Chen, Jiahui Zhang, Jingquan Liu, Mengwei Si, Chunlai Luo, Wenwu Li, Junhao Chu, Yanwei Cao, Zhen Wang, Xiuyan Li

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Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender,... by Thu T Nguyen, Xiaohe Yue, Heran Mane, Kyle Seelman, Penchala Sai Priya Mullaputi, Elizabeth Dennard, Amrutha S Alibilli, Junaid S Merchant, Shaniece Criss, Yulin Hswen, Quynh C Nguyen

“…MethodsSocial media data were collected from Facebook and Instagram using CrowdTangle, a public insights tool by Meta, and from X via its academic research application programming interface. …”
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Carbon-Based Thermal Management Solutions and Innovations for Improved Battery Safety: A Review by Benjamin Tawiah, Emmanuel A. Ofori, Daming Chen, Yang Ming, Yongdan Hou, Hao Jia, Bin Fei

“…The extensive use of lithium-ion batteries and other energy storage systems (ESS) in recent years has resulted in a critical need for effective thermal management solutions that ensure safe and reliable operations. …”
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IMC growth mechanism of Sn58Bi/Cu solder joints and its effect on the coarsening of the Bi phase by Min Shang, Chenyu Li, Yanchen Wang, Xiangxu Chen, Yuanbang Zhao, Jingli Ke, Yunpeng Wang, Haitao Ma, Jun Chen

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Options for Strengthening the Ensemble of Hypotheses under Uncertainty of the Objective Learning Function Formation by A. F. Chernyavsky, A. I. Kazlova

“…Intelligent learning systems traditionally consist of three main components: a student model, which is a block with information about the student; a model of the learning process that sets the form for presenting information to the student and the type of quality assessment of the student’s activity; the model interface as a link between the expert block of the intelligent learning system and other learning algorithms in the components of educational systems. …”
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Conversational Systems for Social Care in Older Adults: Protocol for a Scoping Review by Rosiered Brownson-Smith, Ananya Ananthakrishnan, Oksana Hagen, Cen Cong, Amir Aly, Ray B Jones, Edward Meinert

“…Key research questions include the following: how are conversational systems implemented on a technical level, and how do older adults and their support systems use them in a social care context? What methods are used to evaluate acceptability, usability, and the impact of broad well-being in the context of older adults’ social care? …”
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Optimization Techniques for Physician Scheduling Problem: A Systematic Review of Recent Advancements and Future Directions by Norizal Abdullah, Masri Ayob, Meng Chun Lam, Nasser R. Sabar, Graham Kendall, Mohamad Khairulamirin Md Razali

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Translucent MXene Oxide–Based Bilayered Nanocoating on Woods for Integrated Active and Passive Fire Safety by Wen‐Yu Hu, Cheng‐Fei Cao, Zuan‐Yu Chen, Wan‐Jun Hu, Shihe Yang, Bin Yu, Guangming Chen, Jun Ma, Jie‐Feng Gao, Long‐Cheng Tang

“…Intelligent fire‐warning materials and sensors have gained considerable attention due to their excellent passive flame resistance and sensitive active fire‐alarm behaviors. …”
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