Enhancing Image-Based JPEG Compression: ML-Driven Quantization via DCT Feature Clustering by Shahrzad Sabzavi, Reza Ghaderi

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ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease by Tripti Tripathi, Rakesh Kumar

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Understanding the Behavioral Differences Between American and German Users: A Data-Driven Study by Chenxi Yang, Yang Chen, Qingyuan Gong, Xinlei He, Yu Xiao, Yuhuan Huang, Xiaoming Fu

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A data driven approach for soft tissue biomarker identification linked to Chiari-like malformation and syringomyelia by Jake Cumber, Jake Cumber, Emma Scales-Theobald, Emma Scales-Theobald, Clare Rusbridge, Clare Rusbridge, Clare Rusbridge, Kevin Wells, Kevin Wells

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MASC: Wearable Design for Infectious Disease Detection Through Machine Learning by Sumaiya Afroz Mila, Bhagawat Baanav Yedla Ravi, Md Rafiul Kabir, Sandip Ray

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The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children by Jun-Wei Chen, Hsin-An Chen, Tzu-Chi Liu, Tzu-En Wu, Chi-Jie Lu

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Assessment of using transfer learning with different classifiers in hypodontia diagnosis by Tansel Uyar, Didem Sakaryalı Uyar

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Optimizing the PM2.5 Tradeoffs: The Case of Taiwan by Shihping Kevin Huang, Sin-Yao Chen, Kuei-Lan Chou, Wei Chung Hsu, Kang-Hua Lai, Tung-Hung Chueh, Lopin Kuo, William Lu

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River water quality monitoring using machine learning with multiple possible in-situ scenarios by Dani Irwan, Saerahany Legori Ibrahim, Sarmad Dashti Latif, Chris Aaron Winston, Ali Najah Ahmed, Mohsen Sherif, Amr H. El-Shafie, Ahmed El-Shafie

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Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors by Habeeb Balogun, Hafiz Alaka, Christian Nnaemeka Egwim

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Opportunities and Challenges for Clinical Practice in Detecting Depression Using EEG and Machine Learning by Damir Mulc, Jaksa Vukojevic, Eda Kalafatic, Mario Cifrek, Domagoj Vidovic, Alan Jovic

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An Optimized Deep-Learning-Based Network with an Attention Module for Efficient Fire Detection by Muhammad Altaf, Muhammad Yasir, Naqqash Dilshad, Wooseong Kim

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Quantitative evaluation method of stroke association based on multidimensional gait parameters by using machine learning by Cheng Wang, Cheng Wang, Cheng Wang, Zhou Long, Zhou Long, Xiang-Dong Wang, Xiang-Dong Wang, You-Qi Kong, Li-Chun Zhou, Wei-Hua Jia, Pei Li, Jing Wang, Xiao-Juan Wang, Tian Tian

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Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016 by Yu-zhen Zhang, Hai-ying Wu, Run-wei Ma, Bo Feng, Rui Yang, Xiao-gang Chen, Min-xiao Li, Li-ming Cheng

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FUZZY GROUPOIDS VERSUS LEFT INVARIANT FUZZY EQUIVALENCE RELATIONS by Mădălina Roxana BUNECI

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BIMODAL VOTERS ACCREDITATION SYSTEM (BVAS) MACHINES AND ELECTIONS INTEGRITY IN NIGERIA: AN APPRAISAL OF THE 2023 GENERAL ELECTION IN KOGI STATE by Ahmed Audu YUSUFU, Mahmud Gana IDREES

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Elucidating the mechanism of phthalates induced osteoporosis through network toxicology and molecular docking by Xiao Zhang, Xi Zhu, Wenbo Gu, Xusheng Li, Tenyao Niu, Pengcheng Mao, Haifeng Yuan

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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

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The evolving landscape: Role of artificial intelligence in cancer detection by Praveen Kumar, Sakshi V. Izankar, Induni N. Weerarathna, David Raymond, Prateek Verma

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Research progress of MRI-based radiomics in hepatocellular carcinoma by Xiao-Yun Xie, Rong Chen

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