BLTTNet: feature fusion based on BiLSTM-Transfomer-TCN for prediction of remaining useful life of aircraft engines by Yixu Yang, Xiaoying Su, Chaoyong Wang, Hongxi Liu, Kunhao Fu, Tao Xie, Zishuo Zhang

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A Strategy for Smoothing Power Fluctuations of New Energy Based on Improved Power Prediction Accuracy and Market Transaction by LIANG Yiheng, YANG Dongmei, LIU Gang, YE Wenjie, YANG Yize, QIAN Tao, HU Qinran

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Equivariant learning leveraging geometric invariances in 3D molecular conformers for accurate prediction of quantum chemical properties by Jianhua Sun, Ye Cao, Huijing Hu, Baoqiao Qi

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Procedure Type and Preoperative Patient-Reported Outcome Metrics Predict Variation in the Value of Hip Arthroscopy for Femoroacetabular Impingement by Michael C. Dean, B.A., Nathan J. Cherian, M.D., Ana Paula Beck da Silva Etges, Ph.D., Zachary L. LaPorte, B.A., Kieran S. Dowley, B.A., Kaveh A. Torabian, M.S., Ryan E. Dean, M.D., Scott D. Martin, M.D.

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Association of artificial intelligence–predicted milk yield residuals to behavioral patterns and transition success in multiparous dairy cows by C. Kemel, M. Salamone, B. Aernouts, I. Adriaens, G. Opsomer, P. Hut, M. Hostens

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A-Mode Ultrasound-Based Prediction of Transfemoral Amputee Prosthesis Walking Kinematics via an Artificial Neural Network by Joel Mendez, Rosemarie Murray, Lukas Gabert, Nicholas P. Fey, Honghai Liu, Tommaso Lenzi

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Genetically regulated eRNA expression predicts chromatin contact frequency and reveals genetic mechanisms at GWAS loci by Michael J. Betti, Phillip Lin, Melinda C. Aldrich, Eric R. Gamazon

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GraphEPN: A Deep Learning Framework for B-Cell Epitope Prediction Leveraging Graph Neural Networks by Feng Wang, Xiangwei Dai, Liyan Shen, Shan Chang

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Exposure to Adverse Childhood Experiences Predicts Increased Neurobehavioral Symptom Reporting in Adults with Mild Traumatic Brain Injury by Dmitry Esterov, Trevor D. Persaud, Jennifer C. Dens Higano, Blake A. Kassmeyer, Ryan J. Lennon

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A prior-knowledge-guided dynamic attention mechanism to predict nocturnal hypoglycemic events in type 1 diabetes by Xia Yu, Zi Yang, Xinzhuo Wang, Xiaoyu Sun, Ruiting Shen, Hongru Li, Mingchen Zhang

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Abstract 256: Proposal of multimodal CT‐based scoring system in prediction of hemorrhagic transformation in acute ischemic stroke by Nada Elsaid

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Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials by Ahmed Farid Ibrahim, Mohamed Abdrabou Hussein

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PREDICTING TRAVEL-TIME RELIABILITY IN ROAD NETWORKS: A FITRNET-BASED APPROACH – A CASE STUDY OF ENGLAND by Navid KHORSHIDI, Shahriar AFANDIZADEH ZARGARI, Hamid MIRZAHOSSEIN, Hanif HEIDARI, Travis WALLER

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Enhanced Prediction of Bond Strength in Corroded RC Structures Using Advanced Feature Selection and Ensemble Learning Framework by Jin-Yang Gui, Zhao-Hui Lu, Chun-Qing Li

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The FTO gene rs9939609 polymorphism predicts risk of cardiovascular disease: a systematic review and meta-analysis. by Chibo Liu, Sihua Mou, Chunqin Pan

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Personality predicts internalizing symptoms and quality of life in police cadets: a comparison of artificial intelligence and parametric approaches by Macià Buades-Rotger, Ana Martínez Catena, Guillermo Recio, Mireia Cano Gallent, Jordi Niñerola i Maymí, Anna Figueras Masip, David Gallardo-Pujol

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A nomogram based on the TyG index for the prediction of lower-limb venous thrombosis in patients with intracerebral hemorrhage by Hanyan Zhang, Lijie Huang, Fengda Li

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A novel strain-based bone-fracture healing algorithm is able to predict a range of healing outcomes by George T. Morgan, Lucas Low, Arul Ramasamy, Arul Ramasamy, Arul Ramasamy, Spyros D. Masouros

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Predicting survival after liver transplantation based on pre-transplant MELD score: a systematic review of the literature. by Kristin B Klein, Taenia D Stafinski, Devidas Menon

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NetMHCpan-4.2: improved prediction of CD8+ epitopes by use of transfer learning and structural features by Jonas Birkelund Nilsson, Jason Greenbaum, Bjoern Peters, Bjoern Peters, Morten Nielsen

“…Our final NetMHCpan-4.2 model is publicly accessible at https://services.healthtech.dtu.dk/services/NetMHCpan-4.2, providing a valuable resource for immunological research and therapeutic development.…”
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