A Larval “Recruitment Kernel” to Predict Hatching Locations and Quantify Recruitment Patterns by Wei Shi, Leon Boegman, Shiliang Shan, Yingming Zhao, Josef D. Ackerman, Zachary Amidon, Aidin Jabbari, Edward Roseman

Get full text

Toward a Multi‐Representational Approach to Prediction and Understanding, in Support of Discovery in Hydrology by Luis A. De la Fuente, Hoshin V. Gupta, Laura E. Condon

Get full text

Performance Prediction of the Gearbox Elastic Support Structure Based on Multi-Task Learning by Chengshun Zhu, Zhizhou Lu, Jie Qi, Meng Xiang, Shilong Yuan, Hui Zhang

Get full text

Impact of Parameter Uncertainties on Power Electronic Device Lifetime Predictions by Faezeh Kardan, Aditya Shekhar, Pavol Bauer

Get full text

Multiplexing and massive parallel sequencing of targeted DNA methylation to predict chronological age by Bowen Zhu, Bowen Zhu, Dean Li, Dean Li, Guojing Han, Xue Yao, Hongqin Gu, Tao Liu, Linghua Liu, Jie Dai, Isabella Zhaotong Liu, Yanlin Liang, Jian Zheng, Zheming Sun, He Lin, Nan Liu, Haidong Yu, Meifang Shi, Gaofang Shen, Zhaohui Hu, Lefeng Qu

Get full text

PREDICTION OF FATIGUE LIFE BASED ON FUZZY MATHEMATICS AND GREY SYSTEM THEORY by XU RongXia, GAO JianXiong, WU ZhiFeng, ZHU PengNian

Get full text

Developed nonlinear model based on bootstrap aggregated neural networks for predicting global hourly scale horizontal irradiance by Abdennasser Dahmani, Yamina Ammi, Salah Hanini, Zied Driss

Get full text

The current research status on building prediction models for rectal cancer based on imaging data using artificial intelligence by Zhang Tianshuai, Peng Zhiying, Jia Hang, Wen Rongbo, Zhou Leqi, Shen Fu, Yu Guanyu, Zhang Wei

Get full text

A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction by Huifang Wang, Xuehua Zhao, Qiucen Guo, Xixi Wu

Get full text

SPATIAL MODEL OF BUILT-IN LAND CHANGE (NDBI) IN LANGSA CITY USING CELLULAR AUTOMATA MARKOV (CA-MARKOV) by Kania Maulia Rizky, Triyatno Triyatno

Get full text

Prediction model of ICU readmission in Chinese patients with acute type A aortic dissection: a retrospective study by Hong Ni, Yanchun Peng, Qiong Pan, Zhuling Gao, Sailan Li, Liangwan Chen, Yanjuan Lin

Get full text

Predicting macular hole surgery outcomes: Integrating preoperative OCT features with supervised machine learning statistical models by Ramesh Venkatesh, Priyanka Gandhi, Ayushi Choudhary, Gaurang Sehgal, Kanika Godani, Shubham Darade, Rupal Kathare, Prathiba Hande, Vishma Prabhu, Jay Chhablani

Get full text

Construction and validation of a predictive model for intracardiac thrombus risk in patients with dilated cardiomyopathy: a retrospective study by Xuetao Zhu, Jun Li, Yi Jiang, Tianqi Wang, Zeping Hu

Get full text

Developing and validating a nomogram prediction model for osteoporosis risk in the UK biobank: a national prospective cohort by Xinning Tong, Shuangnan Cui, Huiyong Shen, Xiaoxin Iris Yao

Get full text

Comparative Study on Artificial Fracture Modeling Schemes in Tight Reservoirs—For Enhancing the Production Efficiency of Tight Oil and Gas by Yonggang Wang, Xuejuan Zhang, Jie Zhang, Yali Zeng, Lei Zhang, Han Wang, Ruolin Li

Get full text

Risk Prediction Model for Elderly Differentiated Thyroid Cancer Based on Combined Sleep Quality Assessment and Multimodal Ultrasound by Xudan Lou, Na Yi, Yingchun Liu, Yuanyuan Xu, Jieyuzhen Qiu, Xiaoming Tao, Zhijun Bao

Get full text

The Impact of Wave Prediction Uncertainty on the Control of a Multi-Axis Wave Energy Converter by Carrie Hall, Yueqi Wu, Igor Rizaev, Wanan Sheng, Robert Dorrell, George Aggidis

Get full text

Wind power prediction using stacking and transfer learning by Xu Cheng, Yu Cao, Zhiyuan Song, Chenguang Zhang

Get full text

Risk prediction models for permanence of temporary stoma after radical surgery of rectal cancer: a systematic review by Wenjing Tan, Shiyin Cai, Juanqin Wu, Wenke Wu, Shan Wang, Yaqiu Li, Lulu Liu, Liping Tang, Ying Cao

Get full text

Modeling and Optimization of Concrete Mixtures Using Machine Learning Estimators and Genetic Algorithms by Ana I. Oviedo, Jorge M. Londoño, John F. Vargas, Carolina Zuluaga, Ana Gómez

“…This study presents a methodology to optimize concrete mixtures by integrating machine learning (ML) and genetic algorithms. ML models are used to predict compressive strength, while genetic algorithms optimize the mixture cost under quality constraints. …”
Get full text