Turbine location-aware multi-decadal wind power predictions for Germany using CMIP6 by Nina Effenberger, Nicole Ludwig

Get full text

A Hybrid Approach to Traffic Incident Management: Machine Learning-Based Prediction and Patrol Optimization by Yusuf Sait Turkan, Mesut Ulu

Get full text

Watershed Health Prediction based on Surface Water Quality Variables (Case Study: Taleghan Watershed) by Payam Ebrahimi, Ali Salajegheh, Mohsen Mohseni Saravi, Arash Malekian, Amir Sadoddin

Get full text

Machine learning, clinical-radiomics approach with HIM for hemorrhagic transformation prediction after thrombectomy and treatment by Sheng Hu, Junyu Liu, Jiayi Hong, Yuting Chen, Ziwen Wang, Jibo Hu, Shiying Gai, Xiaochao Yu, Jingjing Fu

Get full text

T-RippleGNN: Predicting traffic flow through ripple propagation with attentive graph neural networks. by Anning Ji, Xintao Ma

Get full text

Profit-Efficient Elastic Allocation of Cloud Resources Using Two-Stage Adaptive Workload Prediction by Lei Li, Xue Gao

“…First, we propose a new workload prediction method—named the adaptive two-stage multi-neural network based on long short-term memory (LSTM)—which can adaptively route prediction tasks to the corresponding LSTM sub-model according to the workload change trend (i.e., uphill and downhill categories), in order to improve the predictive accuracy. …”
Get full text

SOuLMuSiC, a novel tool for predicting the impact of mutations on protein solubility by Simone Attanasio, Jean Kwasigroch, Marianne Rooman, Fabrizio Pucci

“…It is freely available for academic use at http://babylone.ulb.ac.be/SoulMuSiC/.…”
Get full text

The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

Get full text

Fetal Health Prediction From Cardiotocography Recordings Using Kolmogorov–Arnold Networks by W. K. Wong, Filbert H. Juwono, Catur Apriono, Ismi Rosyiana Fitri

Get full text

Construction and evaluation of nomogram for risk prediction of cognitive impairment in chronic obstructive pulmonary disease comorbidity by JiaFeng Luo, Wen Yang, Yang Liu, HongLian Ji, XinRan Li, Jing Bai, TieJun Liu, WeiBin Chen, Li Xiao, GuoXin Mo, JingShan Bai, CongHui Liu, WenQiang Li, AiShuang Fu, YanLei Ge

Get full text

PID vs. Model-Based Control for the Double Integrator Plus Dead-Time Model: Noise Attenuation and Robustness Aspects by Mikulas Huba, Pavol Bistak, Damir Vrancic, Mingwei Sun

Get full text

Predicting postharvest weight loss and texture changes in table grapes using fruit color and machine learning by Xiaoyan Cheng, Yao Zhou, Zhengyang Huo, Ruiying Li, Shiqian Xu, Hao Qi, Jianyuan Zhu, Fei Wang, Yang Bi

Get full text

Anomaly-Aware Tropical Cyclone Track Prediction Using Multi-Scale Generative Adversarial Networks by He Huang, Difei Deng, Liang Hu, Nan Sun

Get full text

Prediction of fatal cardiovascular events in patients with newly diagnosed non-small cell lung cancer by A. A. Filippov, N. G. Lozhkina, E. I. Shefer, P. S. Ruzankin, M. I. Voevoda

Get full text

Improved prediction of MAPKi response duration in melanoma patients using genomic data and machine learning by Sarah Dandou, Kriti Amin, Véronique D’Hondt, Jérôme Solassol, Olivier Dereure, Peter J. Coopman, Ovidiu Radulescu, Holger Fröhlich, Romain M. Larive

Get full text

Springback Angle Prediction for High-Strength Aluminum Alloy Bending via Multi-Stage Regression by Enzhi Gao, Di Xue, Yiming Li

Get full text

Jacking Force Prediction for Long-Distance Pipe by Integrating Physical Information and Adversarial Learning Mechanism by Yaohong Yang, Yuxiang Liu, Junhua Zhang, Zhe Zhang, Qunsheng Li

Get full text

An enhanced iTransformer-based early warning system for predicting automotive rental contract breaches. by Ming Jiang, Dongpeng Peng, Haihan Yu, Shu Chen

Get full text

Predicting the onset of chronic kidney disease (CKD) for diabetic patients with aggregated longitudinal EMR data. by Neda Aminnejad, Michelle Greiver, Huaxiong Huang

Get full text

Alzheimer’s Disease Prediction via Brain Structural-Functional Deep Fusing Network by Qiankun Zuo, Yanyan Shen, Ning Zhong, C. L. Philip Chen, Baiying Lei, Shuqiang Wang

Get full text