Machine Learning Analysis of Arterial Oscillograms for Depression Level Diagnosis in Cardiovascular Health by Vladislav Kaverinsky, Dmytro Vakulenko, Liudmyla Vakulenko, Kyrylo Malakhov

Subjects: “…machine learning…”
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Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems by Sebastian Pecolt, Andrzej Błażejewski, Tomasz Królikowski, Igor Maciejewski, Kacper Gierula, Sebastian Glowinski

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Navigating the potential and pitfalls of large language models in patient-centered medication guidance and self-decision support by Serhat Aydin, Mert Karabacak, Victoria Vlachos, Konstantinos Margetis

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Semantic analysis of test items through large language model embeddings predicts a-priori factorial structure of personality tests by Nicola Milano, Maria Luongo, Michela Ponticorvo, Davide Marocco

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AI-driven 3D bioprinting for regenerative medicine: From bench to bedside by Zhenrui Zhang, Xianhao Zhou, Yongcong Fang, Zhuo Xiong, Ting Zhang

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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

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Predicting Gestational Diabetes Mellitus in the first trimester using machine learning algorithms: a cross-sectional study at a hospital fertility health center in Iran by Somayeh Kianian Bigdeli, Marjan Ghazisaedi, Seyed Mohammad Ayyoubzadeh, Sedigheh Hantoushzadeh, Marjan Ahmadi

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Prediction of case types from non-searchable pdf documents in arabic: Comparison of machine learning and deep learning with image processing by El Arrasse Mouad, Khourdifi Youness, Mounir Soufyane, El Alami Alae

Subjects: “…machine learning…”
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Artificial Intelligence in Cardiac Surgery: Transforming Outcomes and Shaping the Future by Vasileios Leivaditis, Eleftherios Beltsios, Athanasios Papatriantafyllou, Konstantinos Grapatsas, Francesk Mulita, Nikolaos Kontodimopoulos, Nikolaos G. Baikoussis, Levan Tchabashvili, Konstantinos Tasios, Ioannis Maroulis, Manfred Dahm, Efstratios Koletsis

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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models by Getahun Mulugeta, Temesgen Zewotir, Awoke Seyoum Tegegne, Mahteme Bekele Muleta, Leja Hamza Juhar

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Construction of a poor prognosis prediction and visualization system for intracranial aneurysm endovascular intervention treatment based on an improved machine learning model by Chunyu Lei, Anhui Fu, Bin Li, Shengfu Zhou, Jun Liu, Yu Cao, Bo Zhou

Subjects: “…improve machine learning models…”
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Data-based regression models for predicting remifentanil pharmacokinetics by Prathvi Shenoy, Mahadev Rao, Shreesha Chokkadi, Sushma Bhatnagar, Naveen Salins

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Construction of machine learning-based models for screening the high-risk patients with gastric precancerous lesions by Shuxian Yu, Haiyang Jiang, Jing Xia, Jie Gu, Mengting Chen, Yan Wang, Xiaohong Zhao, Zehua Liao, Puhua Zeng, Tian Xie, Xinbing Sui

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Enhancing hydropower generation Predictions: A comprehensive study of XGBoost and Support Vector Regression models with advanced optimization techniques by Zhenya Qi, Yudong Feng, Shoufeng Wang, Chao Li

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IoT Network Anomaly Detection in Smart Homes Using Machine Learning by Nadeem Sarwar, Imran Sarwar Bajwa, Muhammad Zunnurain Hussain, Muhammad Ibrahim, Khizra Saleem

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Attention‐Based Machine Vision Models and Techniques for Solar Wind Speed Forecasting Using Solar EUV Images by Edward J. E. Brown, Filip Svoboda, Nigel P. Meredith, Nicholas Lane, Richard B. Horne

Subjects: “…machine learning…”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

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Harnessing Machine Learning for Diabetes Prediction: Optimizing Classifiers to Tackle Canada's Growing Health Challenge by Mark Gerald Anastacio, Alam Md Twariqul

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Study on Finger Gesture Interface Using One-Channel EMG by Hee-Yeong Yang, Young-Shin Han, Choon-Sung Nam

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Machine Learning Applications in Energy Harvesting Internet of Things Networks: A Review by Olumide Alamu, Thomas O. Olwal, Emmanuel M. Migabo

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