Automated Control System of 35 KV and Higher Power Networks by M. I. Fursanov, A. A. Zalatoi, A. N. Mukha, V. I. Privalov, I. V. Krupa

“…The paper contains description of an automated control system of 35 kV and higher power networks, developed by the BNTU in collaboration with research-and-production firm «Dipol» and introduced at «Minskenergo» power networks. …”
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Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…If a user innocently asks ChatGPT or Gemini to summarize or rephrase their research methodology or scientific discoveries, can their data repositories pose a threat to the integrity and novelty of the research? …”
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Energetic Transients Joint Analysis System for Multi-INstrument (ETJASMIN) for GECAM. II. Search, Verification, and Classification of Bursts by Ce Cai, Yan-Qiu Zhang, Shao-Lin Xiong, Jin-Peng Zhang, Ping Wang, Shi-Jie Zheng, Shuo Xiao, Qi-Bin Yi, Yi Zhao, Hao-Xuan Guo, Sheng-Lun Xie, Wang-Chen Xue, Chao Zheng, Jia-Cong Liu, Chen-Wei Wang, Wen-Jun Tan, Yue Wang, Pei-Yi Feng, Zheng-Hang Yu, Peng Zhang, Yan-Ting Zhang, Wen-Long Zhang, Xiao-Yun Zhao, Zhen Zhang, Xiang Ma, Yue Huang, Xiao-Bo Li, Cheng-Kui Li, Ming-Yu Ge, Shu-Xu Yi, Hai-Sheng Zhao, Jin Wang, Bing Li, Li-Ming Song, Lian Tao, Shu Zhang, Shuang-Nan Zhang

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Machine Learning-Assisted Design of Doping Strategies for High-Voltage LiCoO₂: A Data-Driven Approach by Man Fang, Yutong Yao, Chao Pang, Xiehang Chen, Yutao Wei, Fan Zhou, Xiaokun Zhang, Yong Xiang

“…In the future, we aim to develop more accurate and efficient machine learning algorithms to explore the microscopic mechanisms affecting doped layered oxide cathode material design, thereby establishing new paradigms for the research of high-performance cathode materials for lithium batteries.…”
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Exploring commercial Global Navigation Satellite System (GNSS) radio occultation (RO) products for planetary boundary layer studies in the Arctic by M. Ganeshan, M. Ganeshan, D. L. Wu, J. A. Santanello, J. Gong, C. Ao, P. Vergados, K. J. Nelson

“…These findings underscore the importance of processing algorithms in achieving accurate lower-atmospheric soundings and Arctic PBLH representation.…”
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A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading by Asma Sattar, Amna Sarwar, Saira Gillani, Maryam Bukhari, Seungmin Rho, Muhammad Faseeh

“…Algorithmic stock trading has improved tremendously, with Reinforcement Learning (RL) algorithms being more adaptable than classic approaches like mean reversion and momentum. …”
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Comparative analysis of hybrid-SNP microarray and nanopore sequencing for detection of large-sized copy number variants in the human genome by Catarina Silva, José Ferrão, Bárbara Marques, Sónia Pedro, Hildeberto Correia, Ana Valente, António Sebastião Rodrigues, Luís Vieira

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The Future of Economic Modelling by A.O. Moscardini, K. Lawler, T. Vlasova, E. Merza

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A review on multi-fidelity hyperparameter optimization in machine learning by Jonghyeon Won, Hyun-Suk Lee, Jang-Won Lee

“…This paper presents a comprehensive review of multi-fidelity HPO in machine learning, discusses recent algorithms for HPO, and proposes directions for future research.…”
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Optimizing wind energy conversion system efficiency using advanced modified super-twisting direct power control: Real-time implementation on dSPACE 1104 board by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Youness El Mourabit, Nicu Bizon, Ilhami Colak, Badre Bossoufi, Ayman Alhejji

“…This enhanced technique is characterized by its algorithmic simplicity, a reduced number of control gains, straightforward implementation on embedded platforms, and low computational and hardware cost, making it particularly suitable for real-time control applications. …”
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Global trends in the use of artificial intelligence for urological tumor histopathology: A 20-year bibliometric analysis by Fazhong Dai, Yifeng He, Juan Duan, Kangjian Lin, Qian Lv, Zhongxiang Zhao, Yesong Zou, Jianhong Jiang, Zongtai Zheng, Xiaofu Qiu

“…This study conducted a 20-year bibliometric analysis to map global research trends and innovations in AI-driven urological pathology. …”
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Application of artificial intelligence in the materials science, with a special focus on fuel cells and electrolyzers by Mariah Batool, Oluwafemi Sanumi, Jasna Jankovic

“…Additionally, the review critically evaluates the current research landscape, pinpointing progress and prevailing challenges. …”
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DATABASES DESIGNED WITH PHP AND MYSQL REGARDING THE OPTIMIZATION OF THE AUTOMATION INSTALLATION IN WATER TREATMENT PLANTS by COSTACHE (BIRA) Lenuta

“…The results obtained are strong starting points for new research topics in the field. At the same time, the use of a database are directions for the development of new technologies, using as a tool the mathematical model and the optimization-solution algorithms. …”
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Admission Control Methods in IP Networks by Erik Chromy, Marcel Jadron, Tomas Behul

“…Telecommunications operators and research institutions pay close attention to the issue of quality of service. …”
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Designing and planning a bioethanol supply chain network under uncertainty using a data-driven robust optimization model under disjunctive uncertainty sets by Farzaneh MansooriMooseloo, Maghsoud Amiri, Mohammad Taghi Taghavi Fard, Mostafa Hajiaghaei-Keshteli

“…Purpose: Most research in the field of designing and planning bioethanol supply chains has been based on deterministic models, which do not consider dynamic environmental conditions and thus do not provide reliable outputs. …”
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Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

“…The information society is part of modern life, and algorithmic thinking and programming are relevant to everybody, regardless of educational background. …”
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Classification accuracy of pain intensity induced by leg blood flow restriction during walking using machine learning based on electroencephalography by Hirotatsu Imai, Yuya Kanie, Shusuke Yoshimoto, Natsuki Yamamoto, Masayuki Furuya, Takahito Fujimori, Seiji Okada

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Clinical Phenotypes of Patients with Anti-DFS70/LEDGF Antibodies in a Routine ANA Referral Cohort by Makoto Miyara, Roger Albesa, Jean-Luc Charuel, Mohamed El Amri, Marvin J. Fritzler, Pascale Ghillani-Dalbin, Zahir Amoura, Lucile Musset, Michael Mahler

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SynthSoM: A synthetic intelligent multi-modal sensing-communication dataset for Synesthesia of Machines (SoM) by Xiang Cheng, Ziwei Huang, Yong Yu, Lu Bai, Mingran Sun, Zengrui Han, Ruide Zhang, Sijiang Li

“…Abstract Given the importance of datasets for sensing-communication integration research, a novel simulation platform for constructing communication and multi-modal sensory dataset is developed. …”
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Wearable sensor-based fall detection for elderly care using ensemble machine learning techniques by Ch Gangadhar, P Pavithra Roy, R. Dinesh Kumar, Janjhyam Venkata Naga Ramesh, S. Ravikanth, N. Akhila

“…Meanwhile, the research's offsite evaluation of a combined structure utilizing the Random Forest technique (RF), Supporting Vectors Machines (SVM), and available information were used to illustrate this idea. …”
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