MACHINE LEARNING USING MULTIPLE LOGISTIC REGRESSION FOR ANTIMICROBIAL AND HEMOLYTIC PEPTIDES PREDICTION AND THEIR IDENTIFICATION IN LARGE PROTEINS by Krenev I.A.

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Automatic speech analysis combined with machine learning reliably predicts the motor state in people with Parkinson’s disease by Tabea Thies, Elisa Mallick, Johannes Tröger, Ebru Baykara, Doris Mücke, Michael T. Barbe

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Cross-scale prediction for thermochemical–mechanical damage of barrel weapons under high-temperature and supersonic environments by Shuli Li, Guolai Yang, Liqun Wang

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Machine and Deep Learning-Based Seizure Prediction: A Scoping Review on the Use of Temporal and Spectral Features by Yousif A. Saadoon, Mohamad Khalil, Dalia Battikh

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Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy by Yuta Tokuoka, Tsutomu Endo, Takashi Morikura, Yuki Hiradate, Masahito Ikawa, Akira Funahashi

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A High Accuracy Spatial Reconstruction Method Based on Surface Theory for Regional Ionospheric TEC Prediction by Jian Wang, Yi‐ran Liu, Ya‐fei Shi

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Development of Economic Analysis: Predictive Analytics, ESG Analytics, Analysis of Transformation Processes at the Meso- and Micro-Levels by V. G. Kogdenko

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Research on Distributed Photovoltaic Short-Term Power Prediction Method Based on Weather Fusion and LSTM-Net by Fengjun LI, Lei WANG, Jian ZHAO, Jianbin ZHANG, Shiyao ZHANG, Yangyang TIAN

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IMPROVING ACCURACY OF PREDICTION INTERVALS OF HOUSEHOLD INCOME USING QUANTILE REGRESSION FOREST AND SELECTION OF EXPLANATORY VARIABLES by Asrirawan Asrirawan, Khairil Anwar Notodiputro, Bagus Sartono

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A novel automated CT biomarker to predict outcomes in acute ischemic stroke: net water uptake by Monica Mallavarapu, Hyun Woo Kim, Ananya Iyyangar, Sergio Salazar-Marioni, Albert J. Yoo, Luca Giancardo, Sunil A. Sheth, Jerome A. Jeevarajan

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Preoperative CT-based radiomics nomogram for progression-free survival prediction in pediatric posterior mediastinal malignancies by Shucheng Bi, Chenghao Chen, Jie Yu, Ting Yang, Jihang Sun, Zunying Hu, Qi Zeng, Yun Peng

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Ceftazidime retains in vivo efficacy against strains of Stenotrophomonas maltophilia for which traditional testing predicts resistance by Matthew C. Phillips, Bosul Lee, Sarah L. Miller, Jun Yan, Kristine Goy, Marlène Maeusli, Tina Lam, Catherine Spellberg, Michael Spellberg, Rosemary She, Brad Spellberg, Brian Luna

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Hand dexterity and mobility independently predict cognition in older adults: a multi-domain regression analysis by Thomas Rudolf Schneider, Ansgar Felbecker, Ansgar Felbecker, Ben von Mitzlaff, Ben von Mitzlaff, Gregor Weissofner, Gregor Weissofner, Sarah Meier, Sarah Meier, Patrick Eggenberger, Patrick Eggenberger, Patrick Eggenberger, Simon Annaheim

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Machine learning based CAGIB score predicts in-hospital mortality of cirrhotic patients with acute gastrointestinal bleeding by Zhaohui Bai, Su Lin, Mingyu Sun, Shanshan Yuan, Mariana Barros Marcondes, Dapeng Ma, Qiang Zhu, Yiling Li, Yingli He, Cyriac Abby Philips, Xiaofeng Liu, Kanokwan Pinyopornpanish, Lichun Shao, Nahum Méndez-Sánchez, Metin Basaranoglu, Yunhai Wu, Yu Chen, Ling Yang, Andrea Mancuso, Frank Tacke, Bimin Li, Lei Liu, Fanpu Ji, Xingshun Qi

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Prediction of Metabolic Parameters of Diabetic Patients Depending on Body Weight Variation Using Machine Learning Techniques by Oana Vîrgolici, Daniela Lixandru, Andrada Mihai, Diana Simona Ștefan, Cristian Guja, Horia Vîrgolici, Bogdana Virgolici

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A Generalized GNN-Transformer-Based Radio Link Failure Prediction Framework in 5G RAN by Kazi Hasan, Khaleda Papry, Thomas Trappenberg, Israat Haque

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MtCro: multi-task deep learning framework improves multi-trait genomic prediction of crops by Dian Chao, Hao Wang, Fengqiang Wan, Shen Yan, Wei Fang, Yang Yang

“…Recent emphasis has been placed on deep learning models to enhance prediction accuracy. However, current deep learning models focus on learning specific phenotypes for the given task, overlooking the inter-correlations among different phenotypes. …”
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Physics-Informed Learning for Predicting Transient Voltage Angles in Renewable Power Systems Under Gusty Conditions by Ruoqing Yin, Liz Varga

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LTR-Net: A deep learning-based approach for financial data prediction and risk evaluation in enterprises. by Shimiao Liu

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A Data-Driven Approach for Urban Heat Island Predictions: Rethinking the Evaluation Metrics and Data Preprocessing by Berk Kıvılcım, Patrick Erik Bradley

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