An Interactive Human-in-the-Loop Framework for Skeleton-Based Posture Recognition in Model Education by Jing Shen, Ling Chen, Xiaotong He, Chuanlin Zuo, Xiangjun Li, Lin Dong

“…Recognized poses are used to retrieve matched examples from a reference library, allowing instructors to browse and select posture suggestions for learners. This semi-automated feedback loop enhances teaching interactivity and efficiency. …”
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Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path by Gonçalo Penelas, Luís Barbosa, Arsénio Reis, João Barroso, Tiago Pinto

“…In the field of gaming artificial intelligence, selecting the appropriate machine learning approach is essential for improving decision-making and automation. …”
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A Machine Learning-Enabled System for Crop Recommendation by Pedina Sasi Kiran, Gembali Abhinaya, Smaraneeka Sruti, Neelamadhab Padhy

“…By identifying the significant role of technology in advanced farming practices, we aim to create a solution that helps farmers make informed decisions about crop selections and agricultural practices. Utilizing data analytics and AI-driven insights enhances productivity and efficiency. …”
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A Time Series Approach to Forecasting Financial Indicators in the Wholesale and Retail Trade by Sylvia Jenčová, Petra Vašaničová, Martina Košíková, Marta Miškufová

“…The study demonstrates that simple legacy forecasting methods, such as exponential smoothing and Box–Jenkins methodology, are sufficient for accurately predicting financial indicators. These models were selected for their simplicity, interpretability, and efficiency in capturing stable trends, and seasonality, especially in sectors with relatively stable financial behavior. …”
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Innovative controlling technologies by Bychkova S, Zhidkova E., Andreeva O.

“…The research objective was to examine the role of innovation in controlling, as well as innovative technologies of controlling that can improve management efficiency of food industry enterprises. The research was based on the neosystemic approach. …”
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Unleashing the nexus between farmers’ participation in rural tourism and their ecological footprint: Emerging environmental subjectivities in rural China by Mengwei Gu, Fang Su, Jiangbo Chang

“…Analyzing their environmental impacts offers a novel perspective for exploring the complex interplay among human production, consumption, and the ecological environment at a micro level. …”
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Analysis of Electromagnetic and Thermal Processes of an Induction Motor Using 3D Modeling by A. N. Pekhota, V. N. Galushko, B. M. Khrustalev, D. V. Mirosh

“…The research has made it possible to develop and apply 3D models of electromagnetic processes using special programs, interactively without describing complex vector equations of field theory, while using the ongoing thermal processes. …”
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Understanding what really helps to ensure access to diagnostic services in the Indian Public Health System: a realist synthesis of the Common Review Mission reports (2007-2021) by Erin Hannah, Nisha Basheer, Neha Dumka, Atul Kotwal

“… # Conclusions In a complex adaptive system, access to diagnostic services depends on the concurrent strengthening of various health system components across the levels of care. …”
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Elevator Control Simulation Using Fuzzy Logic Management by Mehr Ali Qasimi, Asmatullah Nashir

“…In order to run the elevators properly, complex elevator group control systems are built.…”
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Optimization of the fin structure from polymer composite materials using bioinspired structural layouts by S. V. Baranovsk, Lin Zay Yar

“…To comply with efficiency in terms of strength, stability and weight of the aircraft, a complex problem for designing a structural layout should be solved. …”
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Neuronal population model of globular bushy cells covering unit-to-unit variability. by Go Ashida, Helen T Heinermann, Jutta Kretzberg

“…Bushy cells in the anteroventral cochlear nucleus, which innervate monaural and binaural stations in the superior olivary complex, process and transfer temporal cues relevant for sound localization. …”
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YOLOv8n-SMMP: A Lightweight YOLO Forest Fire Detection Model by Nianzu Zhou, Demin Gao, Zhengli Zhu

“…Existing forest fire detection algorithms face limitations in capturing flame and smoke features in complex natural environments, coupled with high computational complexity and inadequate lightweight design for practical deployment. …”
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A directed greybox fuzzer for windows applications by Xin Ren, Peng-fei Wang, Xu Zhou, Kai Lu

“…By flexibly selecting the appropriate mode, users can optimize their testing strategies based on different objectives, enhancing the effectiveness and efficiency of the tests. …”
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In vivo emergence of HIV-1 highly sensitive to neutralizing antibodies. by Marlén M I Aasa-Chapman, Kelly M Cheney, Stéphane Hué, Anna Forsman, Stephen O'Farrell, Pierre Pellegrino, Ian Williams, Áine McKnight

“…<h4>Conclusions</h4>We propose that an interplay of selective forces for greater virus replication efficiency without the need to resist neutralizing antibodies in a compartment protected from immune surveillance may explain the temporal course described here for the in vivo emergence of HIV-1 isolates with high sensitivity to neutralizing antibodies.…”
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Deep Reinforcement Learning: A Chronological Overview and Methods by Juan Terven

“…Throughout, we discuss the current challenges facing deep RL, including issues of sample efficiency, interpretability, and safety, as well as open research questions involving large-scale training, hierarchical architectures, and multi-task learning. …”
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Industry 5.0 research: an approach using co-word analysis and BERTopic modeling by Abderahman Rejeb, Karim Rejeb, Steve Simske, Edit Süle

“…It recognizes the need of synthesizing a wide body of relevant research in order to get a better understanding of the complex nature of Industry 5.0. Using a comprehensive and systematic approach, the current study performed a co-word analysis and BERTopic modeling on a carefully selected dataset of 933 journal articles, sourced from Scopus and originally published between 2016 and 2024. …”
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A Novel Metaheuristic-Based Methodology for Attack Detection in Wireless Communication Networks by Walaa N. Ismail

“…Current methodologies for intrusion detection within 5G communication exhibit limitations in accuracy, efficiency, and adaptability to evolving network conditions. …”
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A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems by Abeer Aljohani

“…AI-Powered Predictive Analytics and Sustainable Supply Chain Optimization are closely related, emphasizing the strategic value of data intelligence as well as operational efficiency in improving sustainability practices. These results offer important novel insights about how AI-powered methods might guide environmentally friendly choices in intricate industrial settings. …”
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Determination of Phenylurea Herbicides in Water Samples by Magnet-Integrated Fabric Phase Sorptive Extraction Combined with High Performance Liquid Chromatography by Natalia Manousi, Apostolia Tsiasioti, Abuzar Kabir, Erwin Rosenberg

“…The adsorption and desorption step of the MI-FPSE protocol was optimized to achieve high extraction efficiency and the MI-FPSE-HPLC-DAD method was validated in terms of linearity, sensitivity, selectivity, accuracy, and precision. …”
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Systematic Review on Algorithmic Trading by David Jukl, Jan Lansky

“…They have become a critical part of modern financial markets because of their efficiency and ability to carry out complex strategies.Objective: This research involves a systematic review that assesses the market impact, technological advancements, strategic approaches and regulatory challenges related to algorithmic trading.Methods: Following PRISMA 2020 guidelines, this study conducts a systematic literature review by screening 1,567 articles across five academic databases, namely IEEE Xplore, ACM Digital Library, SpringerLink, Web of Science and SSRN. …”
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