A Novel approach to ship valuation prediction: An application to the supramax and ultramax secondhand markets. by Elif Tuçe Bal, Ercan Akan, Huseyin Gencer

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Accuracy and clinical effectiveness of risk prediction tools for pressure injury occurrence: An umbrella review. by Bethany Hillier, Katie Scandrett, April Coombe, Tina Hernandez-Boussard, Ewout Steyerberg, Yemisi Takwoingi, Vladica M Veličković, Jacqueline Dinnes

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Research on Microseismic Magnitude Prediction Method Based on Improved Residual Network and Transfer Learning by Huaixiu Wang, Haomiao Wang

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Research on the blasting effect prediction and blasting parameter optimization based on PCA-PSO-DBN by Weilong Ma, Biao Qiao, Tongkai Wen, Zhanping Song, Zhenzhong Ren

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Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning by Muhammad Asim Saleem, Ashir Javeed, Watit Benjapolakul, Wattanasak Srisiri, Surachai Chaitusaney, Pasu Kaewplung

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Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

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Digitally Enabled AI-Interpreted Salivary Ferning–Based Ovulation Prediction: Feasibility Study by Elizabeth Peebles, William Finlay, Thao-Mi Nguyen, Samuel Barrett, Prudhvi Thirumalaraju, Manoj Kumar Kanakasabapathy, Hemanth Kandula, Carrie Sarcione, Kaitlyn E James, Hadi Shafiee, Shruthi Mahalingaiah

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Laser powder bed fusion dataset for relative density prediction of commercial metallic alloys by Germán Omar Barrionuevo, Iván La Fé-Perdomo, Jorge A. Ramos-Grez

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Deep learning radiopathomics predicts targeted therapy sensitivity in EGFR-mutant lung adenocarcinoma by Taotao Yang, Xianqi Wang, Yuan Jin, Xiaohong Yao, Zhiyuan Sun, Pinzhen Chen, Suyi Zhou, Wentao Zhu, Wei Chen

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Advancements in thermochemical predictions: a multi-output thermodynamics-informed neural network approach by Raheel Hammad, Sownyak Mondal

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Machine learning based disruption prediction using long short-term memory in KSTAR by Jeongwon Lee, Jayhyun Kim, Jinsu Kim, Sang-hee Hahn, Hyunsun Han, Giwook Shin, Yong-Su Na, Yong Un Nam

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DISCRITE MATHEMATICS TRAINING OF PEDAGOGICAL BACHELOR AND MAGISTRACY STUDENTS – THE FUTURE TEACHERS OF MATHEMATICS AND COMPUTER SCIENCE by V. I. Igoshin

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Intravoxel incoherent motion-based habitat imaging for the prediction of immunohistochemistry in patients with breast cancer by Ailing Wang, Muzhen He, Chengxiu Zhang, Yunyan Zheng, Yang Song, Chenglong Wang, Mingping Ma, Guang Yang

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Approaches to predicting life expectancy in elderly coronary artery disease patients with comorbid conditions by E. O. Asanov, G. P. Voinarovska, I. A. Dyba

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Preserving the Integrity of Organizations’ Quality Management System during Unification and Integration: Functional Approach by Marina V. Sokolovskaya, Elena V. Zamiralova

Predicting Surgery Targets in Temporal Lobe Epilepsy through Structural Connectome Based Simulations. by Frances Hutchings, Cheol E Han, Simon S Keller, Bernd Weber, Peter N Taylor, Marcus Kaiser

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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

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Imaging‐Based Prediction of Ki‐67 Expression in Hepatocellular Carcinoma: A Retrospective Study by Chiyu Cai, Liancai Wang, Lianyuan Tao, Hengli Zhu, Yongnian Ren, Deyu Li, Dongxiao Li

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Prediction of Time-evolving Radial Magnetic Fields on the Solar Surface Using Deep Learning by Hyun-Jin Jeong, Stefaan Poedts, Haopeng Wang, Ekatarina Dineva, Panagiotis Gonidakis, Francesco Carella, George Miloshevich, Luis Linan, Harim Lee

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Machine learning-driven prediction of hospital admissions using gradient boosting and GPT-2 by Xingyu Zhang, Hairong Wang, Guan Yu, Wenbin Zhang

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