Prediction of heterogeneous nucleation condensation effect on the surface of respiratory coal dust and test of dust reduction test by Hanyi LIN, Liang YUAN, Bingyou JIANG, Yuqian ZHANG, Yifan WANG, Haoyu WANG

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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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Enhanced Position-Aided Beam Prediction Using Real-World Data and Enhanced-Convolutional Neural Networks by Ahmed Abd El Moaty Mohamed Gouda, Ehab K. I. Hamad, Aziza I. Hussein, M. Mourad Mabrook, A. A. Donkol

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An Approach for Predicting the Shape and Size of a Buried Basic Object on Surface Ground Penetrating Radar System by Nana Rachmana Syambas

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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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Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels by Zeping Yang, Zhikai Cheng, Da Wu

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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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Type 2 diabetes risk prediction using glycemic control Metrics: A machine learning approach by Radwan Qasrawi, Suliman Thwib, Ghada Issa, Razan Abu Ghoush, Malak Amro

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Real-time mobile broadband quality of service prediction using AI-driven customer-centric approach by Ayokunle A. Akinlabi, Folasade M. Dahunsi, Jide J. Popoola, Lawrence B. Okegbemi

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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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A hybrid multi-optimizer approach using CNN and GB for accurate prediction of citrus fruit diseases by Lawrence Kujur, Varuna Gupta, Abhinav Singhal

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Germline mutation analysis and postoperative recurrence risk prediction in breast cancer patients from western China by Zhujun Deng, Xia Xiao, Biqin Mou, Jing Wang, Qiongxia Hu, Juan Jiang, Kang Xie, Wengeng Zhang, Weimin Li, Bojiang Chen

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