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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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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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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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

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Computed Tomography Radiomics to Preoperatively Predict Regional Lymph Node Metastasis of Resectable Adenocarcinoma of the Esophagogastric Junction by Huilin QIN, Jing OU, Yueqin GOU, Yuesu WANG, Hui LUO, Xiaoming ZHANG, Maoyong FU, Tianwu CHEN

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Enhancing Streamflow Prediction in Ungauged Basins Using a Nonlinear Knowledge‐Based Framework and Deep Learning by Parnian Ghaneei, Ehsan Foroumandi, Hamid Moradkhani

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Advanced prediction of radar reflectivity using U-Net with visual and infrared data from Himawari-8 by Andi Patombongi, Agus Harjoko, Moh Edi Wibowo, I Made Wahyu Gana Putra

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Leveraging machine learning for enhanced and interpretable risk prediction of venous thromboembolism in acute ischemic stroke care. by Youli Jiang, Ao Li, Zhihuan Li, Yanfeng Li, Rong Li, Qingshi Zhao, Guisu Li

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