Prediction of testicular histology in azoospermia patients through deep learning-enabled two-dimensional grayscale ultrasound by Jia-Ying Hu, Zhen-Zhe Lin, Li Ding, Zhi-Xing Zhang, Wan-Ling Huang, Sha-Sha Huang, Bin Li, Xiao-Yan Xie, Ming-De Lu, Chun-Hua Deng, Hao-Tian Lin, Yong Gao, Zhu Wang

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Autistic traits relate to reduced reward sensitivity in learning from point-light displays (PLDs) by Raimund Buehler, Libor Potocar, Nace Mikus, Giorgia Silani

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Enhanced engine misfire diagnosis through integration of vibration and acoustic emission signals using artificial neural networks by Mohamed H. Abdelati, M. Mourad, Al-Hussein Matar, M. Rabie

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Efficient Deep Learning Job Allocation in Cloud Systems by Predicting Resource Consumptions including GPU and CPU by Abuda Chad Ferrino, Tae Young Choe

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Dynamicasome—a molecular dynamics-guided and AI-driven pathogenicity prediction catalogue for all genetic mutations by Naeyma N. Islam, Mathew A. Coban, Jessica M. Fuller, Caleb Weber, Rohit Chitale, Benjamin Jussila, Trisha J. Brock, Cui Tao, Thomas R. Caulfield

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Predicting the number density of heavy seed massive black holes due to an intense Lyman-Werner field by Hannah O'Brennan, John A. Regan, John Brennan, Joe McCaffrey, John H. Wise, Eli Visbal, Alessandro Trinca, Michael L. Norman

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Utilizing an Innovative Gaussian Process Regression Machine Learning Algorithm for Estimating Unconfined Compressive Strength Predictions by Hazel Abraham

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Machine learning-based prediction of volatile compounds profiles in Saccharomyces cerevisiae fermentation simulating canned meat by Lin Du, Shujie Wang, Yongyan Chen, Zhongxu Zhu, Hai-Xi Sun, Tsan-Yu Chiu

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Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

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Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark by Marios C. Gkikas, Dimitris C. Gkikas, Gerasimos Vonitsanos, John A. Theodorou, Spyros Sioutas

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Comparison of Multimodal Deep Learning Approaches for Predicting Clinical Deterioration in Ward Patients: Observational Cohort Study by Charles A Kotula, Jennie Martin, Kyle A Carey, Dana P Edelson, Dmitriy Dligach, Anoop Mayampurath, Majid Afshar, Matthew M Churpek

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Predicting the sonication energy for focused ultrasound surgery treatment of breast fibroadenomas using machine learning algorithms by Mengdi Liang, Yuelin Liu, Yue Huang, Ge Ma, Xu Han, Shuaikang Li, Jing Hang, Hui Xie, Lin Chen, Xiaoan Liu, Shui Wang, Tiansong Xia

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A Novel Strategy Coupling Optimised Sampling with Heterogeneous Ensemble Machine-Learning to Predict Landslide Susceptibility by Yongxing Lu, Honggen Xu, Can Wang, Guanxi Yan, Zhitao Huo, Zuwu Peng, Bo Liu, Chong Xu

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Prediction of the transient coolant jet released from the nose cone at supersonic flow via machine learning by Ali Basem, M. Yasiri, Pooya Ghodratallah, Kamal Sharma, Nimesh Raj, S. Abdul Ameer, Mohammed Yaseen Abdullah, Abbas Hameed Abdul Hussein, Mohammed Y. Al-Khuzaie, M. Ahmedi

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Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction by Guangzhong Huang, Wenping Lei, Xinmin Dong, Dongliang Zou, Shijin Chen, Xing Dong

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Hybrid Neural Network-Based Maritime Carbon Dioxide Emission Prediction: Incorporating Dynamics for Enhanced Accuracy by Seunghun Lim, Jungmo Oh

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Applying Stimulus-Organism-Response (Sor) Adoption for Predicting Generation Z’s Intention to Visit Tourism in Indonesia by Farah Putri Wenang Lusianingrum, Widya Nur Bhakti Pertiwi

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GTMALoc: prediction of miRNA subcellular localization based on graph transformer and multi-head attention mechanism by Xindi Huang, Jipu Jiang, Lifen Shi, Cheng Yan

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Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies by Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis, Mathias J. Krause

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CT delta-radiomics predicts the risks of blood transfusion and massive bleeding during spinal tumor surgery by Suwei Liu, Yali Li, Shuai Tian, Chenyu Jiang, Ming Ni, Ke Xu, Feng Wei, Huishu Yuan

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