Methodology for predicting material performance by context-based modeling: A case study on solid amine CO2 adsorbents by Shuangjun Li, Zhixin Huang, Yuanming Li, Shuai Deng, Xiangkun Elvis Cao

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Biologically targeted discovery-replication scan identifies G×G interaction in relation to risk of Barrett’s esophagus and esophageal adenocarcinoma by Li Yan, Qianchuan He, Shiv P. Verma, Xu Zhang, Ann-Sophie Giel, Carlo Maj, Kathryn Graz, Elnaz Naderi, Jianhong Chen, Mourad Wagdy Ali, Puya Gharahkhani, Xiang Shu, Kenneth Offit, Pari M. Shah, Hans Gerdes, Daniela Molena, Amitabh Srivastava, Stuart MacGregor, Claire Palles, René Thieme, Michael Vieth, Ines Gockel, Thomas L. Vaughan, Johannes Schumacher, Matthew F. Buas

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Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook by Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, Souheil Hallit, Souheil Hallit, Diana Malaeb, Hassan Hosseini, Hassan Hosseini

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Corrigendum: PGTransNet: a physics-guided transformer network for 3D ocean temperature and salinity predicting in tropical Pacific by Song Wu, Senliang Bao, Wei Dong, Senzhang Wang, Xiaojiang Zhang, Chengcheng Shao, Junxing Zhu, Xiaoyong Li

Subjects: “…physics-guided machine learning…”
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TILTomorrow today: dynamic factors predicting changes in intracranial pressure treatment intensity after traumatic brain injury by Shubhayu Bhattacharyay, Florian D. van Leeuwen, Erta Beqiri, Cecilia A. I. Åkerlund, Lindsay Wilson, Ewout W. Steyerberg, David W. Nelson, Andrew I. R. Maas, David K. Menon, Ari Ercole, the CENTER-TBI investigators and participants

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Ordinal Random Tree with Rank-Oriented Feature Selection (ORT-ROFS): A Novel Approach for the Prediction of Road Traffic Accident Severity by Bita Ghasemkhani, Kadriye Filiz Balbal, Kokten Ulas Birant, Derya Birant

Subjects: “…machine learning…”
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Charging Ahead: The Evolution and Reliability of Nickel‐Zinc Battery Solutions by Idris Temitope Bello, Hassan Raza, Alabi Tobi Michael, Madithedu Muneeswara, Neha Tewari, Wang Bingsen, Yin Nee Cheung, Zungsun Choi, Steven T. Boles

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SineKAN: Kolmogorov-Arnold Networks using sinusoidal activation functions by Eric Reinhardt, Dinesh Ramakrishnan, Sergei Gleyzer

Subjects: “…machine learning (ML)…”
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Predicting carbon dioxide emissions using deep learning and Ninja metaheuristic optimization algorithm by Anis Ben Ghorbal, Azedine Grine, Ibrahim Elbatal, Ehab M. Almetwally, Marwa M. Eid, El-Sayed M. El-Kenawy

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Real-Time Mouse Data Protection Method Using GANs for Image-Based User Authentication Based on GetCursorPos() and SetCursorPos() Functions by Jinwook Kim, Kyungroul Lee, Hanjo Jeong

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Radio signal recognition based on image deep learning by Xin ZHOU, Xiaoxin HE, Changwen ZHENG

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Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration by Aleksandra A. Pachalieva, Aleksandra A. Pachalieva, Jeffrey D. Hyman, Daniel O’Malley, Gowri Srinivasan, Hari Viswanathan

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Time Series Methods and Business Intelligent Tools for Budget Planning—Case Study by Katarzyna Grobler-Dębska, Rafał Mularczyk, Bartłomiej Gawęda, Edyta Kucharska

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fNIRS Classification of Adults With ADHD Enhanced by Feature Selection by Minyeong Hong, Suh-Yeon Dong, Roger S. McIntyre, Soon-Kiat Chiang, Roger Ho

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Lattice-inspired NiTi-based metamaterials with widely tunable mechanical-superelastic synergy by Zhi Zhang, Jianbao Gao, Shuaishuai Wei, Bo Song, Yonggang Yao, Xu Zheng, Yuanjie Zhang, Lei Zhang, Qiaojiao Li, Jiafeng Wu, Yusheng Shi

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Empowering human resource management through artificial intelligence: A systematic literature review and bibliometric analysis by Adil Benabou, Fatima Touhami

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Structural bioinformatics for rational drug design by Soroush Mozaffari, Agnethe Moen, Che Yee Ng, Gerry A.F. Nicolaes, Kanin Wichapong

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Strength prediction of ECC-CES columns under eccentric compression using adaptive sampling and ML techniques by Khaled Megahed

Subjects: “…Machine learning…”
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Device Modeling Based on Cost-Sensitive Densely Connected Deep Neural Networks by Xiaoying Tang, Zhiqiang Li, Lang Zeng, Hongwei Zhou, Xiaoxu Cheng, Zhenjie Yao

Subjects: “…Machine learning…”
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Application of Intelligent Data Analysis to Predict the Employment Success of Socially Vulnerable Groups by A. N. Kazinets

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