An investigation into the impact of temporality on COVID-19 infection and mortality predictions: new perspective based on Shapley Values by Mingming Chen, Qihang Qian, Xiang Pan, Tenglong Li

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MRI transformer deep learning and radiomics for predicting IDH wild type TERT promoter mutant gliomas by Wenju Niu, Junyu Yan, Min Hao, Yibo Zhang, Tianshi Li, Chen Liu, Qijian Li, Zihao Liu, Yincheng Su, Bo Peng, Yan Tan, Xiaochun Wang, Lei Wang, Hui Zhang, Guoqiang Yang

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The two-stage prediction method for traffic spillover dissipation at short-distance intersections based on Bi-LSTM by Zijun Liang, Ruihan Wang, Xuejuan Zhan, Tingting Hu, Xiaoyan Li, Yuqi Li

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Deep learning-based radiolabelled compound-protein interaction prediction for NDUFS1-targeting radiopharmaceutical discovery by Muath Almaslamani, Jingyu Yang, Chi Soo Kang, Choong Mo Kang, Jung Mi Park, Sang-Keun Woo

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Habitat radiomics predicts occult lymph node metastasis and uncovers immune microenvironment of head and neck cancer by Xinwei Chen, Huan Jiang, Min Pan, Chengmin Feng, Yanshi Li, Lin Chen, Yuxi Luo, Long Liu, Juan Peng, Guohua Hu

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Air Pollution Dispersion Modeling from Point Sources Using Gaussian Plume Model: A Case Study of Kirkuk, Iraq by Ahmed Saeed Salih, Nihad Davut Hassan, Nada Subhi Abdulmajeed

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Prediction of lithium-ion battery SOC based on IGA-GRU and the fusion of multi-head attention mechanism by Pei Tang, Minnan Jiang, Weikai Xu, Zhengyu Ding, Mao Lv

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Enhanced cardiovascular risk prediction in the Western Pacific: A machine learning approach tailored to the Malaysian population. by Sazzli Kasim, Putri Nur Fatin Amir Rudin, Sorayya Malek, Nurulain Ibrahim, Xue Ning Kiew, Nafiza Mat Nasir, Khairul Shafiq Ibrahim, Raja Ezman Raja Shariff

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Prediction Of Compressive Strength Of Normal Weight Concrete Including Fly Ash By Using Artificial Neural Network by Ayhan Şamandar

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Leveraging graph neural networks and gate recurrent units for accurate and transparent prediction of baseball pitching speed by Chen Yang, Pengfei Jin, Yan Chen

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A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life by Samiha M. Elsherif, Bassel Hafiz, M. A. Makhlouf, Osama Farouk

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Research on Prediction of Mudstone Breakthrough Pressure Based on Support Vector Machine in CO2 Geological Storage by Lin Jianhong, Ma Yongjie, Zhang Yu

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Dose–response relationship and predictive value of soluble B7‐DC in bronchoalveolar lavage fluid and risk of refractory Mycoplasma pneumoniae pneumonia in children by Xue‐Hua Li, Jun‐Mei Xu

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A transformer-based embedding approach to developing short-form psychological measures by Se-Jin Jung, Jang-Won Seo

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Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction by Xinyue Lv, Youli Li, Lili Zhangzhong, Chaoyang Tong, Yibo Wei, Guangwei Li, Yingru Yang

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Implementation of Deep Learning with Multilayer Perceptron (MLP) for Heart Disease Prediction Using the SMOTE-ENN Technique by Erliyan Redy Susanto, Erik Saputra

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Attention-based multimodal deep learning for interpretable and generalizable prediction of pathological complete response in breast cancer by Taishi Nishizawa, Takouhie Maldjian, Zhicheng Jiao, Tim Q. Duong

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A Clinical–Radiomics Nomogram for the Preoperative Prediction of Aggressive Micropapillary and a Solid Pattern in Lung Adenocarcinoma by Xiangyu Xie, Lei Chen, Kun Li, Liang Shi, Lei Zhang, Liang Zheng

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New Approaches to the Interpretation of Balance in the Digital Economy by M. I. Lugachev, N. V. Ulianova, K. G. Skripkin

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Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance by Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong

“…Improving protein representation quality can significantly impact PPI model performance. This study aims to propose a deep neural network-based model, in which both handcrafted and learned features are fused to improve PPI prediction. …”
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