Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

Subjects: Get full text

Machine learning-based plasma metabolomics for improved cirrhosis risk stratification by Jingru Song, Ziwei Gao, Liqun Lai, Jie Zhang, Binbin Liu, Yi Sang, Siqi Chen, Jiachen Qi, Yujun Zhang, Huang Kai, Wei Ye

Get full text

Intelligent Controller Design and Fault Prediction Using Machine Learning Model by Kailash Kumar, Suyog Vinayak Pande, T. Ch. Anil Kumar, Parvesh Saini, Abhay Chaturvedi, Pundru Chandra Shaker Reddy, Krishna Bikram Shah

Get full text

Machine Learning-Based Modeling of Celeration for Predicting Red-Light Violations by Mahmoud Masoud

Subjects: “…Machine learning…”
Get full text

Machine Learning Models for Predicting Thermal Properties of Radiative Cooling Aerogels by Chengce Yuan, Yimin Shi, Zhichen Ba, Daxin Liang, Jing Wang, Xiaorui Liu, Yabei Xu, Junreng Liu, Hongbo Xu

Subjects: Get full text

A roadmap to implementing machine learning in healthcare: from concept to practice by Adam Paul Yan, Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, Santiago Eduardo Arciniegas, Emily Vettese, Agata Wolochacz, Nicole Crellin-Parsons, Brandon Purves, Steven Wallace, Azaz Patel, Medhat Roshdi, Karim Jessa, Karim Jessa, Bren Cardiff, Lillian Sung, Lillian Sung, Lillian Sung

Subjects: “…machine learning…”
Get full text

Quantum Conformal Prediction for Reliable Uncertainty Quantification in Quantum Machine Learning by Sangwoo Park, Osvaldo Simeone

Subjects: Get full text

Quality Control of Olive Oils Using Machine Learning and Electronic Nose by Emre Ordukaya, Bekir Karlik

“…These reduced data as 8 inputs are applied to the classifiers. Different machine learning classifiers such as Naïve Bayesian, K-Nearest Neighbors (k-NN), Linear Discriminate Analysis (LDA), Decision Tree, Artificial Neural Networks (ANN), and Support Vector Machine (SVM) were used. …”
Get full text

Applying Machine Learning Techniques to Identify Undiagnosed Patients with Exocrine Pancreatic Insufficiency by Bruce Pyenson, Maggie Alston, Jeffrey Gomberg, Feng Han, Nikhil Khandelwal, Motoharu Dei, Monica Son, Jaime Vora

“…**Methods:** A machine learning algorithm was developed in Scikit-learn, a Python module. …”
Get full text

Analysis Of Backscatter To Extraction Of Shoreline Using Machine Learning Methods In The Bangkalan Regency by Arifin Fahmi, Wicaksono Ashari

“…The purpose of this research is to extract the coastline by segmenting the machine learning method and find out how far the machine learning model works to distinguish the water class and the land class. …”
Get full text

Recent advances of privacy-preserving machine learning based on (Fully) Homomorphic Encryption by Hong Cheng

Subjects: Get full text

Machine learning predicting the transport mechanisms and entrainment characteristics of negative buoyant jets by Yaowen Xia, Wenfeng Gao, Qiong Li, Banglong Wu, Jia Xie, Shuting Yang

“…This study confirmed that the machine learning techniques have great potential to study the transient flow behavior of fountains.…”
Get full text

Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

“…This paper serves as a guide for building machine learning-driven models to estimate methane concentration in Alberta’s oil sands, or similar regions with methane-producing extractive industries.…”
Get full text

Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

Subjects: Get full text

Predicting dry matter intake in Pelibuey sheep using machine learning methods by Enrique Camacho-Perez, Cem Tirink, Ricardo Garcia-Herrera, Ángel T. Piñeiro-Vazquez, Fernando Casanova-Lugo, Jorge R. Canul-Solis, Antonio Leandro Chaves-Gurgel, Ceyhun Yücel, Einar Vargas-Bello-Pérez, Alfonso J. Chay-Canul

Subjects: Get full text

Machine Learning-Driven Scattering Efficiency Prediction in Passive Daytime Radiative Cooling by Changmin Shi, Jiayu Zheng, Ying Wang, Chenjie Gan, Liwen Zhang, Brian W. Sheldon

Subjects: “…machine learning…”
Get full text

Predictors of depression among Chinese college students: a machine learning approach by Lin Luo, Junfeng Yuan, Chenghan Wu, Yanling Wang, Rui Zhu, Huilin Xu, Luqin Zhang, Zhongge Zhang

Subjects: Get full text

Retracted: The Evaluation Model of College English Diagnostic Exercises Based on Machine Learning by Journal of Function Spaces

Get full text

Application of machine learning in asphalt and concrete material testing: A comprehensive review by Khorshidi Meisam, Dave Eshan, Sias Jo

“…This literature review explores the application of machine learning (ML) techniques in civil engineering material testing, with a focus on asphalt mixtures, concrete properties, and pavement system classification. …”
Get full text

Error Correction of Meteorological Data Obtained with Mini-AWSs Based on Machine Learning by Ji-Hun Ha, Yong-Hyuk Kim, Hyo-Hyuc Im, Na-Young Kim, Sangjin Sim, Yourim Yoon

“…In this paper, we propose a novel error correction of atmospheric pressure data observed with a Mini-AWS based on machine learning. Using the proposed method, we obtained corrected atmospheric pressure data, reaching the standard of the World Meteorological Organization (WMO; ±0.1 hPa), and confirmed the potential of corrected atmospheric pressure data as an auxiliary resource for AWSs.…”
Get full text