Mapping the Generations of Research Impact Science: A Scoping Review of Metrics, Frameworks, and Predictive Approaches by Mudassar Arsalan, Omar Mubin, Abdullah Al Mahmud

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A Comparative Study on Detection and Recognition of Nonuniform License Plates by Mehak Arshid, Muhammad Raees Azam, Zahid Mahmood

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Tuning antibody stability and function by rational designs of framework mutations by Joseph C. F. Ng, Alicia Chenoweth, Maria Laura De Sciscio, Melanie Grandits, Anthony Cheung, Tooki Chu, Alexandra McCraw, Jitesh Chauhan, Yi Liu, Dongjun Guo, Semil Patel, Alice Kosmider, Daniela Iancu, Sophia N. Karagiannis, Franca Fraternali

“…Artificial intelligence and machine learning models have been developed to engineer antibodies for specific recognition of antigens. …”
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CodeBuddy: A Programming Assignment Management System for Short-Form Exercises by Stephen R. Piccolo, Emme Tuft, P. J. Tatlow, Zach Eliason, Ashlie Stephenson

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A GPT-Based Code Review System With Accurate Feedback for Programming Education by Dong-Kyu Lee, Inwhee Joe

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Multi-Examiner: A Knowledge Graph-Driven System for Generating Comprehensive IT Questions with Higher-Order Thinking by Yonggu Wang, Zeyu Yu, Zihan Wang, Zengyi Yu, Jue Wang

“…This study contributes to the growing body of research on AI-supported educational assessment by demonstrating how specialized knowledge structures can enhance automated generation of higher-order thinking questions beyond what general-purpose language models can achieve.…”
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Enhancing data analysis and programming skills through structured prompt training: The impact of generative AI in engineering education by Ashish Garg, K. Nisumba Soodhani, Ramkumar Rajendran

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GLR: Graph Chain-of-Thought with LoRA Fine-Tuning and Confidence Ranking for Knowledge Graph Completion by Yifei Chen, Xuliang Duan, Yan Guo

“…Although recent knowledge graph completion (KGC) methods based on representation learning have achieved notable progress, they still suffer from two fundamental limitations, namely the lack of structured reasoning capabilities and the inability to assess the confidence of their predictions, which often results in unreliable outputs. …”
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An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization by Chenhao Li, Jiyin Zhang, Weilin Chen, Xiaogang Ma

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Public concerns about human metapneumovirus: insights from Google search trends, X social networks, and web news mining to enhance public health communication by Farzane Shams, Mohammad Jokar, Kia Jahanbin, Vahid Rahmanian

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The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach by Jianqing Qiu, Ting Zhu, Ke Qin, Wei Zhang

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Design of an intelligent grading system for college English translation based on big data technology by Xiaoyan Li, Chengzhou Huang

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The analysis of the notions of Russian school principals about digital transformation by A. A. Deryabin, I. E. Boytsov, A. A. Popov, P. D. Rabinovich, K. E. Zavedensky, I. S. Tsarkov

“…The authors analysed 7189 questionnaires using computer methods for processing the natural language. …”
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Facial Expression Based Emotion Recognition by Muhammad Ibrahim, Burhan Ergen

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Detecting cognitive engagement in online course forums: A review of frameworks and methodologies by Nazmus Sakeef, M. Ali Akber Dewan, Fuhua Lin, Dharamjit Parmar

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Novel Artificial Intelligence Applications in Energy: A Systematic Review by Tai Zhang, Goran Strbac

“…Notable outcomes include DeepMind-based reinforcement learning cutting data centre cooling energy by 40%, multi-agent control boosting virtual power plant revenue by 28%, AI-enhanced planning slashing the computation time by 87% without sacrificing solution quality, battery management AI raising efficiency by 30%, and machine learning accelerating hydrogen catalyst discovery 200,000-fold. …”
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Boostering diagnosis of frontotemporal lobar degeneration with AI-driven neuroimaging – A systematic review and meta-analysis by Qiong Wu, Dimitra Kiakou, Karsten Mueller, Wolfgang Köhler, Matthias L. Schroeter

“…Our survey focused on computer-aided diagnosis for FTLD, employing machine/deep learning with neuroimaging radiomic features. …”
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Detecting Vietnamese fake news by Duc Vinh Vo, Phuc Do

“…The performance evaluation of the models includes assessing the prediction ratio Area Under The Curve of each model and providing insights into their computational efficiency. …”
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Detecting Vietnamese fake news by Duc Vinh Vo, Phuc Do

“…The performance evaluation of the models includes assessing the prediction ratio Area Under The Curve of each model and providing insights into their computational efficiency. …”
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From Data to Diagnosis: Enhancing Radiology Reporting With Clinical Features Encoding and Cross-Modal Coherence by Saeed Iqbal, Adnan N. Qureshi, Faheem Khan, Khursheed Aurangzeb, Muhammad Azeem Akbar

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