Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model by Zeng Y, Lu H, Li S, Shi QZ, Liu L, Gong YQ, Yan P

Subjects: Get full text

Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China by Bingwei Wang, Qigen Lin, Tong Jiang, Huaxiang Yin, Jian Zhou, Jinhao Sun, Dongfang Wang, Ran Dai

Subjects: “…Evaluation of machine learning models…”
Get full text

Enhanced Vector Quantization for Embedded Machine Learning: A Post-Training Approach With Incremental Clustering by Thommas K. S. Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

“…TinyML enables the deployment of Machine Learning (ML) models on resource-constrained devices, addressing a growing need for efficient, low-power AI solutions. …”
Get full text

Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms by Gustavo Frigieri, Sérgio Brasil, Danilo Cardim, Marek Czosnyka, Matheus Ferreira, Wellingson S. Paiva, Xiao Hu

“…This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a cranial extensometer device (brain4care [B4C] System). …”
Get full text

Corrigendum to “Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network” by Vu Viet Thang, F. F. Pashchenko

Get full text

Implementation of Portable Ultrasound for Heart Disease Detection Using Cloud Computing-Based Machine Learning by Riyanto Sigit, Rika Rokhana, Setiawardhana, Taufiq Hidayat, Anwar, Jovan Josafat Jaenputra

Get full text

Crash Prediction on Expressway Incorporating Traffic Flow Continuity Parameters Based on Machine Learning Approach by Tian Lei, Jia Peng, Xingliang Liu, Qin Luo

Get full text

Editorial: Artificial intelligence, machine learning, and data-mining techniques to increase cost-effectiveness in healthcare by P. Wilner Jeanty, Marie-Rachelle Narcisse, Romain Crastes Dit Sourd

Get full text

Prediction of aerodynamic coefficients for twisting shapes of buildings and structures based on machine learning and CFD-modelling by S. G. Saiyan, V. B. Shelepina

Subjects: “…machine learning…”
Get full text

Combined interaction of fungicides binary mixtures: experimental study and machine learning-driven QSAR modeling by Mohsen Abbod, Ahmad Mohammad

Get full text

Identification of Taihang-chicken-specific genetic markers using genome-wide SNPs and machine learning by Fu Wei, Zhang Ran, Ding Hong, Wang Wenjun, Liu Huage, Zang Sumin, Zhou Rongyan

Subjects: Get full text

Modeling the Relationship between Rice Yield and Climate Variables Using Statistical and Machine Learning Techniques by Lasini Wickramasinghe, Rukmal Weliwatta, Piyal Ekanayake, Jeevani Jayasinghe

“…This paper presents the application of a multiple number of statistical methods and machine learning techniques to model the relationship between rice yield and climate variables of a major region in Sri Lanka, which contributes significantly to the country’s paddy harvest. …”
Get full text

Estimation of Ultimate Bearing Capacity in Rock-Socketed Piles Using Optimized Machine Learning Approaches by Ali Hassan, Hamza Rashid

Get full text

Machine learning based models for predicting presentation delay risk among gastric cancer patients by Huali Zhou, Huali Zhou, Qiong Gu, Rong Bao, Liping Qiu, Yuhan Zhang, Fang Wang, Wenlian Liu, Lingling Wu, Li Li, Yihua Ren, Lei Qiu, Qian Wang, Gaomin Zhang, Xiaoqing Qiao, Wenjie Yuan, Juan Ren, Min Luo, Rong Huang, Qing Yang, Qing Yang

Subjects: Get full text

Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation by Muteb Alanazi, Jowaher Alanazi, Tareq Nafea Alharby, Bader Huwaimel

“…To complement experimental insights, machine learning models were employed to predict rivaroxaban solubility based on temperature, solvent type, and mass fraction of dichloromethane. …”
Get full text

Real-Time Adaptive Tractor Ride Comfort Adjustment System Based on Machine Learning Method by Hu Tian, Anping Ji

Subjects: Get full text

Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…We use an array of nine elliptical Planar Hall Effect (PHE) sensors and machine learning algorithms to map the magnetic signal generated by a magnetic source. …”
Get full text

Optimizing Neuropsychological Assessments for Cognitive, Behavioral, and Functional Impairment Classification: A Machine Learning Study by Petronilla Battista, Christian Salvatore, Isabella Castiglioni

“…Our aim was to assess the potential of machine learning in quantifying this process and optimizing or even reducing the amount of neuropsychological tests used to classify AD patients, also at an early stage of impairment. …”
Get full text

Enhancing Credit Risk Decision-Making in Supply Chain Finance With Interpretable Machine Learning Model by Guanglan Zhou, Shiru Wang

Subjects: Get full text

Elucidating governing factors of PFAS removal by polyamide membranes using machine learning and molecular simulations by Nohyeong Jeong, Shinyun Park, Subhamoy Mahajan, Ji Zhou, Jens Blotevogel, Ying Li, Tiezheng Tong, Yongsheng Chen

“…In this study, we investigate PFAS rejection by polyamide membranes using two machine learning (ML) models, namely XGBoost and multimodal transformer models. …”
Get full text