Machine Learning and Safe and Inclusive Architecture for Fragile Users by Antonio Magarò, Adolfo F. L. Baratta

Subjects: “…artificial intelligence…”
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AI versus human-generated multiple-choice questions for medical education: a cohort study in a high-stakes examination by Alex KK Law, Jerome So, Chun Tat Lui, Yu Fai Choi, Koon Ho Cheung, Kevin Kei-ching Hung, Colin Alexander Graham

Subjects: “…Artificial intelligence…”
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STEPNet: A Spatial and Temporal Encoding Pipeline to Handle Temporal Heterogeneity in Climate Modeling Using AI: A Use Case of Sea Ice Forecasting by Sizhe Wang, Wenwen Li, Chia-Yu Hsu

Subjects: “…Artificial intelligence (AI)…”
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INTEGRATION OF A DATA-DRIVEN SOFTWARE APPLICATION AND A MULTIMODAL LARGE LANGUAGE MODEL FOR ENHANCED NUTRITIONAL GUIDANCE: A CASE STUDY by IAPĂSCURTĂ, Victor, ȚURCANU, Dinu, SIMINIUC, Rodica

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Components of brending and the application of artifical intelligence technologies in their implementation by Оleg Kovalchuk

Subjects: “…marketing; brand; branding; branding strategy; component brands; stages of branding; artificial intelligence…”
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Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

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Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules by Yunguo Yu, Cesar A. Gomez-Cabello, Svetlana Makarova, Yogesh Parte, Sahar Borna, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Antonio J. Forte

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PHILOSOPHICAL-ANTROPOLOGICAL ASPECTS OF A PROBLEM OF SEARCH EXTRA-TERRESTRIAL OF CIVILIZATIONS by A. T. Tshedrin

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RapidBenthos: Automated segmentation and multi‐view classification of coral reef communities from photogrammetric reconstruction by Tiny Remmers, Nader Boutros, Mathew Wyatt, Sophie Gordon, Maren Toor, Chris Roelfsema, Katharina Fabricius, Alana Grech, Marine Lechene, Renata Ferrari

Subjects: “…artificial intelligence…”
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AI-Based Holistic Framework for Cyber Threat Intelligence Management by Arnolnt Spyros, Ilias Koritsas, Angelos Papoutsis, Panos Panagiotou, Despoina Chatzakou, Dimitrios Kavallieros, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris

Subjects: “…Artificial intelligence…”
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Face and Voice Recognition-Based Emotion Analysis System (EAS) to Minimize Heterogeneity in the Metaverse by Surak Son, Yina Jeong

Subjects: “…artificial intelligence…”
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Automated Measurement of Coronary Artery Calcifications and Routine Perioperative Blood Tests Predict Survival in Resected Stage I Lung Cancer by Federica Sabia, MSc, Camilla Valsecchi, MSc, Roberta Eufrasia Ledda, MD, Giorgio Bogani, MD, Riccardo Orlandi, MD, Luigi Rolli, MD, Michele Ferrari, MD, Maurizio Balbi, MD, Alfonso Marchianò, MD, Ugo Pastorino, MD

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Mitigating bias in AI mortality predictions for minority populations: a transfer learning approach by Tianshu Gu, Wensen Pan, Jing Yu, Guang Ji, Xia Meng, Yongjun Wang, Minghui Li

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Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar by Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin

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CHATGPT IN FOREIGN LANGUAGE TEACHING AND ASSESSMENT: EXPLORING EFL INSTRUCTORS’ EXPERIENCE by Inna Zaiarna, Olena Zhyhadlo, Olha Dunaievska

Subjects: “…artificial intelligence (AI)…”
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Impacted lower third molar classification and difficulty index assessment: comparisons among dental students, general practitioners and deep learning model assistance by Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, Promphakkon Kulthanaamondhita, Chumpot Itthichaisri, Soranun Chantarangsu, Thanaphum Osathanon, Ekarat Phattarataratip, Kraisorn Sappayatosok

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Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke by Ye Jin Jeon, Hong Gee Roh, Sumin Jung, Hyun Yang, Hee Jong Ki, Jeong Jin Park, Taek-Jun Lee, Na Il Shin, Ji Sung Lee, Jin Tae Kwak, Hyun Jeong Kim

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Deep learning–assisted diagnosis of acute mesenteric ischemia based on CT angiography images by Lei Song, Xuesong Zhang, Jian Zhang, Jie Wu, Jinkai Wang, Feng Wang

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Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

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PHYSICS-DRIVEN FEATURE CREATION TO IMPROVE MACHINE LEARNING MODELS PERFORMANCE FOR OIL PRODUCTION RATE PREDICTION by Eghbal Motaei, Seyed Mehdi Tabatabai, Tarek Ganat, Ahmad Khanifar, Sulaiman Dzaiy, Timur Chis

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