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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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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Angiogenesis related gene signatures predict prognosis and guide therapeutic strategies in renal clear cell carcinoma by Yuhe Zhou, Weixiong Ma, Hengda Hu, Qirui He, Chengshuai Yu, Wenpu Chen, Guofeng Yu

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Remaining Available Energy Prediction for Energy Storage Batteries Based on Interpretable Generalized Additive Neural Network by Ji Qi, Pengrui Li, Yifan Dong, Zhicheng Fu, Zhanguo Wang, Yong Yi, Jie Tian

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Deep representation learning enables cross-basin water quality prediction under data-scarce conditions by Yue Zheng, Xiaoran Zhang, Yongchao Zhou, Yiping Zhang, Tuqiao Zhang, Raziyeh Farmani

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Wind Turbine Airfoil Noise Prediction Method Based on Generalized Airfoil Database and Residual Neural Network by Quan Wang, Haoran Zhang, Xiaodi Wang, Yang Ni

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Online prediction of ship maneuvering motions based on adaptive weighted ensemble learning under dynamic changes by Yaohui Yu, Hongbin Hao, Zihao Wang, Yan Peng, Shaorong Xie

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Six-hour Prediction of Interplanetary Magnetic Field Bz Profiles for Strong Southward Cases by Deep Learning by Jihyeon Son, Yong-Jae Moon, Young-Sil Kwak, Kyung Sun Park, Hyun-Jin Jeong

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Uncertainty and Prediction Intervals of New Machine Learning Approach for Non-Destructive Evaluation of Concrete Compressive Strength by Seyed Alireza Alavi, Martin Noel

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Enhancing Thyroid Nodule Assessment With UTV-ST Swin Kansformer: A Multimodal Approach to Predict Invasiveness by Yufang Zhao, Yue Li, Yanjing Zhang, Xiaohui Yan, Guolin Yin, Liping Liu

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Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study by Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

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A novel deep learning approach for predicting stone-free rates post-ESWL on uncontrasted CT by Ozgur Efiloglu, Muhammed Yildirim, Kadir Yildirim, Harun Bingol, Mustafa Kaan Akalin, Meftun Culpan, Bilal Alatas, Asif Yildirim

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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

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Advanced Heart Disease Prediction Through Spatial and Temporal Feature Learning with SCN-Deep BiLSTM by Vivek Pandey, Umesh Kumar Lilhore, Ranjan Walia

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