Comparing 2D and 3D Feature Extraction Methods for Lung Adenocarcinoma Prediction Using CT Scans: A Cross-Cohort Study by Margarida Gouveia, Tânia Mendes, Eduardo M. Rodrigues, Hélder P. Oliveira, Tania Pereira

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Predicting adherence to gamified cognitive training using early phase game performance data: Towards a just-in-time adherence promotion strategy. by Yuanying Pang, Ankita Singh, Shayok Chakraborty, Neil Charness, Walter R Boot, Zhe He

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Artificial intelligence assisted common maternal fetal planes prediction from ultrasound images based on information fusion of customized convolutional neural networks by Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam

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Advancing smart tourism destinations: A case study using bidirectional encoder representations from transformers‐based occupancy predictions in torrevieja (Spain) by José Ginés Giménez Manuel, José Giner Pérez de Lucia, Marco Antonio Celdrán Bernabeu, José Norberto Mazón López, Juan Carlos Cano Escribá, José María Cecilia Canales

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Ligand-receptor dynamics in heterophily-aware graph neural networks for enhanced cell type prediction from single-cell RNA-seq data by Lian Duan, Mahshad Hashemi, Alioune Ngom, Luis Rueda

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Intraoperative circulation predict prolonged length of stay after head and neck free flap reconstruction: a retrospective study based on machine learning by Zhongqi Liu, Zhongqi Liu, Jinbei Wen, Yingzhen Chen, Yingzhen Chen, Bin Zhou, Minghui Cao, Minghui Cao, Mingyan Guo, Mingyan Guo

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Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning. by Pramod S Kathmore, Bhanudas D Bachchhav, Duran Kaya, Sachin Salunkhe, Lenka Cepova, Ondřej Mizera, Emad Abouel Nasr

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Drug target, class level, and PathFX pathway information share utility for machine learning prediction of common drug-induced side effects by Han Jie Liu, Jennifer L. Wilson

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Genome-Wide Association Study and Genomic Prediction of Soft Wheat End-Use Quality Traits Under Post-Anthesis Heat-Stressed Conditions by Dipendra Shahi, Jia Guo, Sumit Pradhan, Muhsin Avci, Guihua Bai, Jahangir Khan, Byung-Kee Baik, Mohamed Mergoum, Md Ali Babar

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Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach by Mihyun Lim Waugh, Tyler Mills, Nicholas Boltin, Lauren Wolf, Patti Parker, Ronnie Horner, Thomas L Wheeler II, Richard L Goodwin, Melissa A Moss

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Proof of principle concept for the analysis and functional prediction of rare genetic variants in the CYP2C19 and CYP2D6 genes by Inger Johansson, Yuchen Lu, Yitian Zhou, Kristi Krebs, Martina Akcan, Lili Milani, Magnus Ingelman-Sundberg

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The Impact of Wind Speed on Electricity Prices in the Polish Day-Ahead Market Since 2016, and Its Applicability to Machine-Learning-Powered Price Prediction by Rafał Sowiński, Aleksandra Komorowska

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Improvement in positional accuracy of neural-network predicted hydration sites of proteins by incorporating atomic details of water-protein interactions and site-searching algorith... by Kochi Sato, Masayoshi Nakasako

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Geogenic perspectives on potassium dynamics and plant uptake: insights from natural and submerged conditions across different soil types with machine learning predictions by Saibal Ghosh, Gourav Mondal, Shreya Chakraborty, Sonali Banerjee, Sumit Kumar, Riddhi Basu, Pradip Bhattacharyya

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A Frequency-Aware Transformer for Multiscale Fault Diagnosis in Electrical Machines by Yurim Choi, Inwhee Joe

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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study by Chengkun Sun, Erin Mobley, Michael Quillen, Max Parker, Meghan Daly, Rui Wang, Isabela Visintin, Ziad Awad, Jennifer Fishe, Alexander Parker, Thomas George, Jiang Bian, Jie Xu

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Predicting Minimum Temperatures of Plastic Greenhouse During Strawberry Growing in Changfeng, China: A Comparison of Machine Learning Algorithms and Multiple Linear Regression by Xuelin Wang, Qinqin Huang, Dong Wu, Jinhua Xie, Ming Cao, Jun Liu

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Advanced Efficient Feature Selection Integrating Augmented Extreme Learning Machine and Particle Swarm Optimization for Predicting Nitrogen Use Efficiency and Yield in Corn by Josselin Bontemps, Isa Ebtehaj, Gabriel Deslauriers, Alain N. Rousseau, Hossein Bonakdari, Jacynthe Dessureault-Rompré

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The role of squamous cell carcinoma antigen and cytokeratin 19 fragment in predicting the outcome of esophageal cancer patients: insights from a meta-analysis by Xiaojiang Zhou, Lin Yang, Jingjing Deng, Wankai Guo, Di Liu, Jianfeng Zhou, Chuan Xu

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Polygenic risk scores for pan-cancer risk prediction in the Chinese population: A population-based cohort study based on the China Kadoorie Biobank. by Meng Zhu, Xia Zhu, Yuting Han, Zhimin Ma, Chen Ji, Tianpei Wang, Caiwang Yan, Ci Song, Canqing Yu, Dianjianyi Sun, Yue Jiang, Jiaping Chen, Ling Yang, Yiping Chen, Huaidong Du, Robin Walters, Iona Y Millwood, Juncheng Dai, Hongxia Ma, Zhengdong Zhang, Zhengming Chen, Zhibin Hu, Jun Lv, Guangfu Jin, Liming Li, Hongbing Shen, China Kadoorie Biobank Collaborative Group

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