Experimental and computational investigation of the effect of machining parameters on the turning process of C45 steel by Tien-Thinh Le, Hang Thi Pham, Hiep Khac Doan, Panagiotis G. Asteris

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Exploring the potential of GenAI for personalised English teaching: Learners' experiences and perceptions by Lucas Kohnke, Di Zou, Fan Su

“…Artificial intelligence has become seamlessly integrated into personal, professional, and educational spheres. Generative AI (GenAI), in particular, is revolutionising content creation in second language (L2) writing instruction through advanced machine learning models. …”
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Active learning for advanced biodegradable film design by Yi Gao, Chengcheng Liu, Yang Zhao, Peng Zhao, Feihui Chen, Qinghai Li, Yanguo Zhang, Bin Yang, Hui Zhou

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Empirical Evaluation of Deep Learning Techniques for Fish Disease Detection in Aquaculture Systems: A Transfer Learning and Fusion-Based Approach by Subir Biswas, Debendra Muduli, Md Ariful Islam, Anuradha Shantanu Kanade, Abu Taha Zamani, Shantanu Pandurang Kanade, Nikhat Parveen

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Key Frame Detection in Badminton Swings and Its Application to Physical Education by Jen-Hao Hsu, Chi-Chuan Lee, Jing-Yuan Chang, Duan-Shin Lee

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Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools by Md Akib Zabed Khan, Agoritsa Polyzou

“…To address this problem, we investigate various machine learning models (direct and indirect methods) using different features of course enrollment data of past students to predict the number of enrollments in possible courses in the upcoming semester. …”
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An ensemble-based enhanced short and medium term load forecasting using optimized missing value imputation by Tania Gupta, Richa Bhatia, Sachin Sharma

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Multidimensional assessment of sustainability and competitiveness in the ceramic tile and natural stone industries: a cross-country comparative study by Reza Yarahmadi, Ali Asghar Asadi

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An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence by Ramazan Esmeli, Aytac Gokce

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Predicting Workplace Hazard, Stress and Burnout Among Public Health Inspectors: An AI-Driven Analysis in the Context of Climate Change by Ioannis Adamopoulos, Antonios Valamontes, Panagiotis Tsirkas, George Dounias

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A strategy for the automatic diagnostic pipeline towards feature-based models: a primer with pleural invasion prediction from preoperative PET/CT images by Xiangxing Kong, Annan Zhang, Xin Zhou, Meixin Zhao, Jiayue Liu, Xinliang Zhang, Weifang Zhang, Xiangxi Meng, Nan Li, Zhi Yang

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Artificial intelligence-generated images in skin cancer education: an experimental study by Jevan Cevik, Ishith Seth, Warren M Rozen

“…The findings of AI Dermatology showed some discrepancies with those of the authors, indicating further refinement of its machine-learning algorithm is needed. Images created by Midjourney and BlueWillow had exaggerated fictionalised features that the authors deemed not appropriate for clinical education and could not be analysed by AI Dermatologist. …”
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Classifying schizophrenia using functional MRI and investigating underlying functional phenomena by Yangyang Liu, Bi Wan, Zixuan Liu, Shuaiqi Zhang, Pei Liu, Ningning Ding, Yuxin Wang, Jun Dong, Moiz Kabeer Ahmad, Haisan Zhang

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Critical Evaluation of SQL Injection Security Measures in Web Applications by Haneen mohammed adhab Al salmawi

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Comparison of Raman spectroscopy with mass spectrometry for sequence typing of Acinetobacter baumannii strains: a single-center study by Suling Liu, Ni Zhang, Jiawei Tang, Chong Chen, Weisha Wang, Jingfang Zhou, Long Ye, Xiaoli Chen, ZhengKang Li, Liang Wang

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Implementation of integrated design systems in the learning process by A. V. Petukhov

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Energy Minimization for Federated Learning Based Radio Map Construction by Fahui Wu, Yunfei Gao, Lin Xiao, Dingcheng Yang, Jiangbin Lyu

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Systematic Approach for Malware Detection in IoT Devices: Enhancing Security and Performance by Vasudeva Pai, B. H. Karthik Pai, G. S. Sudhiksha, Vandya Kamath, K. Varsha, S. Manjunatha

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Portable EEG for assessing attention in educational settings: A scoping review by Jian-Wei Wang, Da-Wei Zhang, Stuart J. Johnstone

“…In contrast, 37 studies used data-driven approaches, e.g., using spectral power as input features for machine learning models to index attention. Discussion: Portable EEG has been a promising approach to measuring attention in educational settings. …”
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Smart parking: intelligent intrusion detection system in VANET enabled car parking system by S Vijayalakshmi, S Bose, G Logeswari, N Maheswaran

“…To address this challenge, a Machine Learning (ML)-driven IDS is proposed for DDoS attack detection in the smart parking system. …”
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