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Machine learning

Systematic evaluation of machine learning models for postoperative surgical site infection prediction

Anna M. van Boekel, Siri L. van der Meijden, [ ... ], Mark G. J. de Boer

Resting-state EEG microstate features for Alzheimer’s disease classification

Xiaoli Yang, Zhipeng Fan, Zhenwei Li, Jiayi Zhou

ST-YOLO: A defect detection method for photovoltaic modules based on infrared thermal imaging and machine vision technology

Hanfei Xie, Baoxi Yuan, [ ... ], Peng Chu

Advanced susceptibility analysis of ground deformation disasters using large language models and machine learning: A Hangzhou City case study

Bofan Yu, Huaixue Xing, [ ... ], Yun-an Li

Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning

Varun Tiwari, Kelly Thorp, [ ... ], Marcelo Ardon

A novel hybrid PSO-MIDAS model and its application to the U.S. GDP forecast

Feng Shen, Xiaodong Yan, Yuhuang Shang

BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI

Arianna Bunnell, Kailee Hung, John A. Shepherd, Peter Sadowski

CLIP-based multimodal endorectal ultrasound enhances prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer

Hanchen Zhang, Hang Yi, [ ... ], Guangjian Liu

Emotion inference in conversations based on commonsense enhancement and graph structures

Yuanmin Zhang, Kexin Xu, Chunzhi Xie, Zhisheng Gao

ICRA: A study of highly accurate course recommendation models incorporating false review filtering and ERNIE 3.0

Bing Li, Yuqi Hou, [ ... ], Xile Wang

Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression

Amon Masache, Precious Mdlongwa, Daniel Maposa, Caston Sigauke

Forecasting air pollution with deep learning with a focus on impact of urban traffic on PM10 and noise pollution

Martin Kostadinov, Eftim Zdravevski, [ ... ], Vladimir Trajkovik

Analyzing the efficacy of trimethylolpropane trioleate oil for predicting cutting power and surface roughness in high-speed drilling of Al-6061 through machine learning

Pramod S. Kathmore, Bhanudas D. Bachchhav, [ ... ], Emad Abouel Nasr

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