Unveiling Hidden Dynamics in Air Traffic Networks: An Additional-Symmetry-Inspired Framework for Flight Delay Prediction by Chao Yin, Xinke Du, Jianyu Duan, Qiang Tang, Li Shen

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Characterization, identification and life prediction of acoustic emission signals of tensile damage for HSR gearbox housing material by Ai Yibo, Zhang Yuanyuan, Cui Hao, Zhang Weidong

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Dynamic prediction and recommendation of museum visitors' interest based on long short-term memory network (LSTM) by Sha Nie

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A Hybrid Method for Predicting the Bistatic Target Strength Basedon the Monostatic Scattering Sound Pressure Data by Yuhang TANG, Chenyu FAN, Yinhao LI, Changxiong CHEN, Zilong PENG

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Prediction of circRNA–Disease Associations via Graph Isomorphism Transformer and Dual-Stream Neural Predictor by Hongchan Li, Yuchao Qian, Zhongchuan Sun, Haodong Zhu

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Different Approaches to Artificial Intelligence–Based Predictive Maintenance on an Axle Test Bench with Highly Varying Tests by Markus Siebert, Michael Fister, Christian Spieker, Daniel Stengler

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Prediction of Vascular Access Stenosis by Lightweight Convolutional Neural Network Using Blood Flow Sound Signals by Jia-Jung Wang, Alok Kumar Sharma, Shing-Hong Liu, Hangliang Zhang, Wenxi Chen, Thung-Lip Lee

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AI-Driven Integrated System for Burn Depth Prediction With Electronic Medical Records: Algorithm Development and Validation by Md Masudur Rahman, Mohamed El Masry, Surya C Gnyawali, Yexiang Xue, Gayle Gordillo, Juan P Wachs

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Prediction of grey mould disease from greenhouse tomato based on radical basis function neural network by Zhang Zhi, Hu Xiaohui, Zou Zhirong

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Longitudinal performance trajectories of young female sprint runners: a new tool to predict performance progression by Michael Romann, Michael Romann, Marie Javet, Julia Hernandez, Julia Hernandez, Louis Heyer, Louis Heyer, Severin Trösch, Stephen Cobley, Dennis-Peter Born, Dennis-Peter Born, Dennis-Peter Born

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Deep Reinforcement Learning for CT-Based Non-Invasive Prediction of SOX9 Expression in Hepatocellular Carcinoma by Minghui Liu, Yi Wei, Tianshu Xie, Meiyi Yang, Xuan Cheng, Lifeng Xu, Qian Li, Feng Che, Qing Xu, Bin Song, Ming Liu

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Predicting body weight in Ross 308 broiler chickens using a data mining algorithm approach by L Bila

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Predicting Subsurface Layer Thickness and Seismic Wave Velocity Using Deep Learning: Knowledge Distillation Approach by Amir Moslemi, Anna Briskina, Jason Li, Zubeka Dang, Peyman Moghaddam

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Early Immunological and Inflammation Proteomic Changes in Elderly COVID-19 Patients Predict Severe Disease Progression by Shiyang Liu, Wen Xu, Bo Tu, Zhiqing Xiao, Xue Li, Lei Huang, Xin Yuan, Juanjuan Zhou, Xinxin Yang, Junlian Yang, De Chang, Weiwei Chen, Fu-Sheng Wang

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In silico prediction of the pharmacological potential of new 7-alkyl-8-hydrazine derivatives of 1,3-dimethylxanthine by L. M. Mosula, V. S. Mosula, D. B. Korobko

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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

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Personalized prediction of glycemic responses to food in women with diet-treated gestational diabetes: the role of the gut microbiota by Polina V. Popova, Artem O. Isakov, Anastasiia N. Rusanova, Stanislav I. Sitkin, Anna D. Anopova, Elena A. Vasukova, Alexandra S. Tkachuk, Irina S. Nemikina, Elizaveta A. Stepanova, Angelina I. Eriskovskaya, Ekaterina A. Stepanova, Evgenii A. Pustozerov, Maria A. Kokina, Elena Y. Vasilieva, Lyudmila B. Vasilyeva, Soha Zgairy, Elad Rubin, Carmel Even, Sondra Turjeman, Tatiana M. Pervunina, Elena N. Grineva, Omry Koren, Evgeny V. Shlyakhto

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Assessment of Tumor Infiltrating Lymphocytes in Predicting Stereotactic Ablative Radiotherapy (SABR) Response in Unresectable Breast Cancer by Mateusz Bielecki, Khadijeh Saednia, Fang-I Lu, Shely Kagan, Danny Vesprini, Katarzyna J. Jerzak, Roberto Salgado, Raffi Karshafian, William T. Tran

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Integrating bioinformatics and machine learning to identify glomerular injury genes and predict drug targets in diabetic nephropathy by Li Zhang, ZhenPeng Sun, Yao Yuan, Jie Sheng

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Failure Rate Prediction of a Power Transformer: A Decomposition-Based Bayesian Deep Learning Method by Weixin Zhang, Changzheng Shao, Wei Huang, Bo Hu, Jiahao Yan, Kaigui Xie, Maosen Cao, Zhengze Wei

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