Guest Editorial: Deep Learning for Visual Information Analytics and Management by krishna Kant Singh, Ahmed Elngar, Md Arafatur Rahman

Get full text

Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

Get full text

Prediction of Cover–Subsidence Sinkhole Volume Using Fibre Bragg Grating Strain Sensor Data by Wesley B. Richardson, Suné von Solms, Johan Meyer, Charis Harley

Subjects: Get full text

Hyperspectral Data Driven Solid Waste Classification by Gleb Mazanov, Anna Iliushina, Sergey Nesteruk, Andrey Pimenov, Anton Stepanov, Nadezhda Mikhaylova, Andrey Somov

Get full text

Machine learning techniques for predictive modelling in geotechnical engineering: a succinct review by Shrikant M. Harle, Rajan L. Wankhade

Subjects: “…Machine learning (ML) techniques…”
Get full text

Inferring End‐Members From Geoscience Data Using Simplex Projected Gradient Descent‐Archetypal Analysis by Zanchenling Wang, Tao Wen

“…Abstract End‐member mixing analysis (EMMA) is widely used to analyze geoscience data for their end‐members and mixing proportions. …”
Get full text

MINN: A metabolic-informed neural network for integrating omics data into genome-scale metabolic modeling by Gabriele Tazza, Francesco Moro, Dario Ruggeri, Bas Teusink, László Vidács

“…While Machine Learning (ML) models can uncover complex patterns and relationships within these data, they require large datasets for training and often lack interpretability. …”
Get full text

A novel behavioral health care dataset creation from multiple drug review datasets and drugs prescription using EDA by Gantela Prabhakar, George Merlin Linda, Bandi Sudheer Reddy, Samineni Nagamani, Chary Sonkoju Nagarjuna

Subjects: Get full text

An Equivalence Theorem and A Sequential Algorithm for A-Optimal Experimental Designs on Manifolds by Jingwen Zhang, Yaping Wang

Subjects: Get full text

Advanced Financial Fraud Malware Detection Method in the Android Environment by Jaeho Shin, Daehyun Kim, Kyungho Lee

Subjects: Get full text

Explaining basketball game performance with SHAP: insights from Chinese Basketball Association by Yan Ou-Yang, Wei Hong, Liming Peng, Cheng-Xi Mao, Wen-Jia Zhou, Wei-Tao Zheng, Quan Wang, Feng Qi, Xue-Wei Li, Shi-Huan Chen, Ce Xu, Yu-Fan Wang

Subjects: Get full text

Public Disclosure of Results From Artificial Intelligence/Machine Learning Research in Health Care: Comprehensive Analysis of ClinicalTrials.gov, PubMed, and Scopus Data (2010-2023) by Shoko Maru, Ryohei Kuwatsuru, Michael D Matthias, Ross J Simpson Jr

“…ObjectiveWe aimed to estimate the proportion of AI/ML research that reported results through ClinicalTrials.gov or peer-reviewed publications indexed in PubMed or Scopus. MethodsUsing data from the Clinical Trials Transformation Initiative Aggregate Analysis of ClinicalTrials.gov, we identified studies initiated and completed between January 2010 and December 2023 that contained AI/ML-specific terms in the official title, brief summary, interventions, conditions, detailed descriptions, primary outcomes, or keywords. …”
Get full text

Novel machine learning-driven comparative analysis of CSP, STFT, and CSP-STFT fusion for EEG data classification across multiple meditation and non-meditation sessions in BCI pipeline by Nalinda D. Liyanagedera, Corinne A. Bareham, Heather Kempton, Hans W. Guesgen

Get full text

A Questionnaire Dataset on Perceived Stress in Indian Higher Education Students during Emergency Remote Learning [version 1; peer review: 2 approved] by Shweta Rai, Rayan Charls Mathias, Sharisha Shanbhog M, Jeevan Medikonda

Subjects: “…Emergency Remote Learning…”
Get full text

Data–driven Approach for Extracting Steady–state Data from Unsteady–state Flow Stress without Material Modeling by Ota Eiichi, Fujimura Minami, Sato Yasumoto

“…To overcome these challenges, we propose a simple method for directly extracting steady–state data by interpolating unsteady–state data using a machine learning method without material modeling. …”
Get full text

An Artificial Intelligence Pipeline for Hepatocellular Carcinoma: From Data to Treatment Recommendations by Zhang X, Yang L, Liu C, Yuan X, Zhang Y

“…Machine learning and deep learning techniques are then applied to analyze these data, improving tumor detection, characterization, and early diagnosis. …”
Get full text

Trend Analysis of High-Resolution Soil Moisture Data Based on GAN in the Three-River-Source Region During the 21st Century by Zhuoqun Li, Siqiong Luo, Xiaoqing Tan, Jingyuan Wang

Get full text

Analysis of fault detection and defect categorization in photovoltaic inverters for enhanced reliability and efficiency in large-scale solar energy systems by Malik Stephanie, Daßler David, Patel Dharm, Klute Carola, Klengel Robert, Dietrich Andreas, Kaufmann Kai, Hennig Carsten, Wehnert Danny, Ebert Matthias

Subjects: Get full text

Prediction of depression risk in middle-aged and elderly Cardiovascular-Kidney-Metabolic syndrome patients by social and environmental determinants of health: an interpretable mach... by Xinyi Xu, Xinru Li, Xiyan Li, Benli Xue, Xiao Zheng, Shujuan Xiao, Lingli Yang, Xinyi Zhang, Chengyu Chen, Ting Zheng, Yuyang Li, Yanan Wang, Jianan Han, Haoran Wu, Mengjie Zhang, Yanming Liao, Siyi Bai, Nan Zeng, Chichen Zhang

Get full text

OCRClassifier: integrating statistical control chart into machine learning framework for better detecting open chromatin regions by Xin Lai, Xin Lai, Min Liu, Yuqian Liu, Xiaoyan Zhu, Jiayin Wang, Jiayin Wang

Subjects: Get full text