EmRep: Energy management relying on state‐of‐charge extrema prediction by Lars Hanschke, Christian Renner

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Digital transformation of the Russian media business in the face of uncertainty by A. M. Druzhinin

“…The article is of a theoretical nature, and all reasoning is based on qualitative research methods on the controversial issues of the digital transformation of the domestic media business. …”
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Visual recognition of honeybee behavior patterns at the hive entrance. by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Gabriela Vdoviak

“…Key contributions include the development of a comprehensive dataset with 7200 frames from eight beehives, the introduction of the first known research focused on recognizing bee behavior patterns through visual analysis at the hive entrance, and a comparative evaluation of various object detection and tracking algorithms tailored for bee detection and behavior recognition. …”
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Visual Planarization in Oil Painting Techniques in Digital Information Age by Yiping Zhang

“…The purpose of this paper is to realize the research on the visual planarization of oil painting techniques in the digital information environment to promote the ecological development of the computer and art field. …”
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Knowledge Integration and Analysis of Technological Innovation in Prefabricated Construction by Yudan Dou, Xiaoxue Fu, Tianxin Li

“…Specifically, using patent data from the past five years, and grounded in knowledge management and complex network theories, this study employs text mining, topic modeling, and association rule algorithms to perform clustering, evolutionary, and association analyses. …”
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Proteomic associations with cognitive variability as measured by the Wisconsin Card Sorting Test in a healthy Thai population: A machine learning approach. by Chen Chen, Bupachad Khanthiyong, Benjamard Thaweetee-Sukjai, Sawanya Charoenlappanit, Sittiruk Roytrakul, Phrutthinun Surit, Ittipon Phoungpetchara, Samur Thanoi, Gavin P Reynolds, Sutisa Nudmamud-Thanoi

“…This study investigated the association between serum protein expression profiles and cognitive variability in a healthy Thai population using machine learning algorithms. We included 199 subjects, aged 20 to 70, and measured cognitive performance with the Wisconsin Card Sorting Test. …”
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Multidimensional effects of metformin in patients with type 2 diabetes by Lyudmila A. Ruyatkina, Dmitriy S. Ruyatkin

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Electricity nowcasting and forecasting efficiency in blockchain-integrated energy trading platforms by Ameni Boumaiza

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Uncertainty of industrial noise measurement at distant locations from the source by Tadeusz Wszołek

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Recent advances and controversies in head and neck reconstructive surgery by Kuriakose Moni, Sharma Mohit, Iyer Subramania

“…Standardized reconstructive algorithms for common head and neck defects have been developed with predictable results. …”
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Using Artificial Intelligence Systems in News Verification: An Application on X by Sefer Kalaman, Nazmi Ekin Vural

“…To obtain the data, Chat GPT was utilised and an AI-poweredchatbot was developed with the help of algorithms prepared by the researchers to determine the accuracy of the news. …”
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What factors enhance students' achievement? A machine learning and interpretable methods approach. by Hui Mao, Ribesh Khanal, ChengZhang Qu, HuaFeng Kong, TingYao Jiang

“…Prior research on student achievement has typically examined isolated factors or bivariate correlations, failing to capture the complex interplay between learning behaviors, pedagogical environments, and instructional design. …”
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Transforming Healthcare: The Role of Machine Learning in Early Disease Detection – Innovations, Hurdles, and the Road Ahead by Prasanth Saginala

“…Healthcare establishments closely rely on advanced algorithms for his or her operations. The machine derives facts from difficult factors like clinical records and photographic information and genetic facts. …”
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Artificial Intellect and Methodology of Economic Science by M. V. Dubovik, S. G. Dmitriev

“…The goal of the research is to analyze general methodological approaches used in economic theory and tools of artificial intellect, in particular machine learning. …”
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AI-Driven Framework for Evaluating Climate Misinformation and Data Quality on Social Media by Zeinab Shahbazi, Rezvan Jalali, Zahra Shahbazi

“…These findings provide actionable insights for researchers, media outlets, and policymakers aiming to improve climate communication and reduce content-driven polarization on social platforms.…”
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Detection and location of EEG events using deep learning visual inspection. by Mohammad Amin Fraiwan

“…Several object detection algorithms (i.e., Faster R-CNN, YOLOv4, and YOLOX) and multiple backbone CNN architectures were evaluated under a wide range of conditions, revealing their true representative performance. …”
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A Systematic Review of Gen-AI Applications in Education: Rewards, Challenges and Future Prospects by Everleen Nekesa Wanyonyi, Millicent Kathambi Murithi

“…The ability of GenAI algorithms to generate specific feedback on tests, quizzes, and assessments as an instructional instrument to support student success has been a significant motivator. …”
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Automated reinforcement learning for sequential ordering problem using hyperparameter optimization and metalearning by André Luiz Carvalho Ottoni

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Social media use to enhance children’s diets: the case of Lebanese mothers by Carla Tenkerian, Rita Sayah

“…Using quantitative and qualitative research methodologies, this study relies on findings obtained from conducting a survey and a semi-structured one-on-one interview. …”
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AprilTags in Unity: A Local Alternative to Shared Spatial Anchors for Synergistic Shared Space Applications Involving Extended Reality and the Internet of Things by Amitabh Mishra, Kevin Foster Carff

“…AprilTags are simple, scannable markers that, through computer vision algorithms, can help XR devices figure out position and rotation in a three-dimensional space. …”
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