A Nomogram Model for Predicting Recurrent Coronary Thrombosis in Kawasaki Disease Patients by Zhou X, Peng Y, Yi Q

Subjects: Get full text

Explainable machine learning models for identifying mild cognitive impairment in older patients with chronic pain by Xiaoang Zhang, Yuping Liao, Daying Zhang, Weichen Liu, Zhijian Wang, Yaxin Jin, Shushu Chen, Jianmei Wei

Subjects: Get full text

Integrating multi‐omics features enables non‐invasive early diagnosis and treatment response prediction of diffuse large B‐cell lymphoma by Weilong Zhang, Bangquan Ye, Yang Song, Ping Yang, Wenzhe Si, Hairong Jing, Fan Yang, Dan Yuan, Zhihong Wu, Jiahao Lyu, Kang Peng, Xu Zhang, Lingli Wang, Yan Li, Yan Liu, Chaoling Wu, Xiaoyu Hao, Yuqi Zhang, Wenxin Qi, Jing Wang, Fei Dong, Zijian Zhao, Hongmei Jing, Yanzhao Li

Subjects: Get full text

Biological evaluation and interaction mechanism of beta-site APP cleaving enzyme 1 inhibitory pentapeptide from egg albumin by Zhipeng Yu, Sijia Wu, Wenzhu Zhao, Long Ding, David Shiuan, Fuping Zheng, Jianrong Li, Jingbo Liu

Subjects: Get full text

Crack growth rate prediction based on damage accumulation functions for creep-fatigue interaction by A.V. Tumanov, V.N. Shlyannikov, A.P. Zakharov

Subjects: Get full text

A comparative analysis of real and theoretical data in offshore wind energy generation by Fernando M. Camilo, Paulo J. Santos, Armando J. Pires

Subjects: Get full text

Development of a New Modified Sonar Inspired Optimization based on Machine Learning Methods for Evaluating Compressive of High-Performance Concrete by Ali Nikkhoo, Amin Moshtagh, Mehri Mehrnia

Subjects: Get full text

Longitudinal performance trajectories for youth female and male soccer players: 10m-sprint percentile curves adapted to biological age by Julia Hernandez, Chantal Widmer, Stephen Cobley, Dennis-Peter Born, Wolfgang Taube, Michael Romann

Subjects: Get full text

Customer Behavior Analysis and Predictive Modeling in Supermarket Retail: A Comprehensive Data Mining Approach by Kavitha Dhanushkodi, Akila Bala, Nithin Kodipyaka, V. Shreyas

Subjects: Get full text

Deep Learning for Predicting Spheroid Viability: Novel Convolutional Neural Network Model for Automating Quality Control for Three-Dimensional Bioprinting by Zyva A. Sheikh, Oliver Clarke, Amatullah Mir, Narutoshi Hibino

Subjects: Get full text

Research and development of thick plate shape prediction system based on industrial big data by Yufei MA, Changxin LIU, Wei KONG, Jinliang DING

Subjects: Get full text

LSN-GTDA: Learning Symmetrical Network via Global Thermal Diffusion Analysis for Pedestrian Trajectory Prediction in Unmanned Aerial Vehicle Scenarios by Ling Mei, Mingyu Fu, Bingjie Wang, Lvxiang Jia, Mingyu Yu, Yu Zhang, Lijun Zhang

Subjects: Get full text

Editorial: Application of artificial intelligence-supported process-based climate models to understand the atmosphere/weather patterns and their prediction by Amit Awasthi, Kanhu Charan Pattnayak, Kanhu Charan Pattnayak, Pushp Raj Tiwari

Subjects: Get full text

A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

Subjects: “…Diabetic prediction…”
Get full text

LIFE PREDICTION OF METRO OBSTACLE DETECTOR BASED ON FATIGUE TEST AND FRACTURE SIMULATION by LI XiangJie, YANG GuangWu, XIAO ShouNe, ZHU Tao, YANG Bing

Subjects: Get full text

Scaling up uncertain predictions to higher levels of organisation tends to underestimate change by James A. Orr, Jeremy J. Piggott, Andrew L. Jackson, Jean‐François Arnoldi

Subjects: Get full text

Adaptive opportunistic routing protocol based on forwarding-utility for delay tolerant networks by WANG Bo1, HUANG Chuan-he1, YANG Wen-zhong2

Subjects: Get full text

A deep ensemble learning framework for glioma segmentation and grading prediction by Liang Wen, Hui Sun, Guobiao Liang, Yue Yu

Subjects: “…Segmentation and grading prediction…”
Get full text

Research on digital twin modeling method for combustion process based on model reduction by Yue Zhang, Jiale Li

Subjects: Get full text

Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

Subjects: “…Sky wave propagation prediction…”
Get full text