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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The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma by Wan-Bin He, Chuan Zhou, Zhi-Jun Yang, Yun-Feng Zhang, Wen-Bo Zhang, Han He, Jia Wang, Feng-Hai Zhou

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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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Reconcile an Appropriate Model for the Occurrence of Periods of Infection with Hepatitis C in the Province of Nineveh - A comparative Study with the Geometric Process Model - by Muthanna Sulaiman, Shaimaa Mahmood

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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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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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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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A Remaining Useful Life Prediction Method for Rolling Bearings Based on Hierarchical Clustering and Transformer–GRU by Wenping Lei, Xing Dong, Fuyuan Cui, Guangzhong Huang

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A New Method for Predicting the Monthly Fault Number of Watt-hour Meters Based on Time Series by Yuan LI, Angang ZHENG, Huang TAN, Hao CHEN, Shuya CHENG, Hui CAI, Lixin WANG

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A stacking ensemble framework integrating radiomics and deep learning for prognostic prediction in head and neck cancer by Bingzhen Wang, Jinghua Liu, Xiaolei Zhang, Jianpeng Lin, Shuyan Li, Zhongxiao Wang, Zhendong Cao, Dong Wen, Tiange Liu, Hafiz Rashidi Harun Ramli, Hazreen Haizi Harith, Wan Zuha Wan Hasan, Xianling Dong

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CT radiomics from intratumor and peritumor regions for predicting poorly differentiated invasive nonmucinous pulmonary adenocarcinoma by Lijun Duan, Wenyun Liu, Mingyang Li, Liang Guo, Mengran Ren, Xin Dong, Xiaoqian Lu, Dianbo Cao

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Predicting recurrence risk in endometrial cancer: a multisequence MRI intratumoral and peritumoral radiomics nomogram approach by Jie Li, Jie Li, Dianpei Ma, Dianpei Ma, Xiuting Chen, Xiuting Chen, Junting Wei, Junting Wei, Jiali Xu, Yingming Zhao, Zhizhen Gao

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