Viral genomic features predict Orthopoxvirus reservoir hosts by Katie K. Tseng, Heather Koehler, Daniel J. Becker, Rory Gibb, Colin J. Carlson, Maria del Pilar Fernandez, Stephanie N. Seifert

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Machine learning based on laboratory data for disease prediction by A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev

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Neuropsychopharmacology in the era of artificial intelligence and biomolecule prediction software by Rubén A. García-Reyes, Laura N. Massó Quiñones, Hajin Ruy, Daniel C. Castro

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Interactive trajectory prediction for autonomous driving based on Transformer by R. Xu, J. Li, S. Zhang, L. Li, H. Li, G. Ren, X. Tang

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Nomogram for predicting secondary surgery in patients with concomitant exotropia by Haihua Liu, Rongjun Liu, Ruiying Li, Kaixiu Li

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Predicting Diameter Distributions in Mixed Forests in Southern Mexico by Juan Carlos Guzmán-Santiago, Héctor Manuel de los Santos-Posadas, Benedicto Vargas-Larreta, Martín Gómez-Cárdenas, Wenceslao Santiago-García, Adan Nava-Nava

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Energy Consumption Prediction for Drilling Pumps Based on a Long Short-Term Memory Attention Method by Chengcheng Wang, Zhi Yan, Qifeng Li, Zhaopeng Zhu, Chengkai Zhang

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Application of smart technologies for predicting soil erosion patterns by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid, Shiva Gharibi, Jing-Cheng Han

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NetTCR-struc, a structure driven approach for prediction of TCR-pMHC interactions by Sebastian N. Deleuran, Morten Nielsen

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Prediction of stroke severity: systematic evaluation of lesion representations by Anna K. Bonkhoff, Alexander L. Cohen, William Drew, Michael A. Ferguson, Aaliya Hussain, Christopher Lin, Frederic L. W. V. J. Schaper, Anthony Bourached, Anne‐Katrin Giese, Lara C. Oliveira, Robert W. Regenhardt, Markus D. Schirmer, Christina Jern, Arne G. Lindgren, Jane Maguire, Ona Wu, Sahar Zafar, John Y. Rhee, Eyal Y. Kimchi, Maurizio Corbetta, Natalia S. Rost, Michael D. Fox, MRI‐GENIE and GISCOME Investigators and the International Stroke Genetics Consortium

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MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

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AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview by Charithea Stylianides, Andria Nicolaou, Waqar Aziz Sulaiman, Christina-Athanasia Alexandropoulou, Ilias Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Eleni Politi, Dimitris Ntalaperas, Xanthi Papageorgiou, Fransisco Garcia, Zinonas Antoniou, Nikos Ioannides, Lakis Palazis, Anna Vavlitou, Marios S. Pattichis, Constantinos S. Pattichis, Andreas S. Panayides

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Enhanced Workload Prediction in Data Centers Using Two-Stage Decomposition and Hybrid Parallel Deep Learning by Dalal Alqahtani, Hamidreza Imani, Tarek El-Ghazawi

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Traffic flow prediction based on improved deep extreme learning machine by Xiujuan Tian, Shuaihu Wu, Xue Xing, Huanying Liu, Heyao Gao, Chun Chen

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Multimodal trajectory prediction for intelligent connected vehicles in complex road scenarios based on causal reasoning and driving cognition characteristics by ZhiYong Yang, Jun Yang, Yu Zhou, QinXin Xu, MingHui Ou

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Naïve Bayes is an interpretable and predictive machine learning algorithm in predicting osteoporotic hip fracture in-hospital mortality compared to other machine learning algorithm... by Jo-Wai Douglas Wang

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PIPENN-EMB ensemble net and protein embeddings generalise protein interface prediction beyond homology by David P. G. Thomas, Carlos M. Garcia Fernandez, Reza Haydarlou, K. Anton Feenstra

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STUDYING MEDICINAL PLANTS USING PROJECT-BASED ON LEARNING METHOD USING THE EXAMPLE OF VALERIAN by Asanbekova A. A., Akmataliev Zh. T.

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Reservoir parameter prediction technology based on deep learning and its application in the Panyu 4 Sag, Pearl river mouth Bain by Yingwei Li, Yanhui Zhu, Zhenshen Li, Xiaozhao Zhang, Guofu Cai

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Master of industrial training 2.0.: Human resources capacity of the project “Professionalitat” by V. V. Dubitsky, A. A. Konovalov, A. I. Lyzhin, A. V Feoktistov, V. S. Neumyvakin

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