Acoustic response discrimination of phulae pineapple maturity and defects using factor analysis of mixed data and machine learning algorithms by Sujitra Arwatchananukul, Saowapa Chaiwong, Nattapol Aunsri, Sila Kittiwachana, Kietsuda Luengwilai, Tatiya Trongsatitkul, Pramod Mahajan, Jose Blasco, Rattapon Saengrayap

Get full text

Data-Driven Insights into Concrete Flow and Strength: Advancing Smart Material Design Using Machine Learning Strategies by Muwaffaq Alqurashi

Get full text

An Ensemble Data-Driven Approach for Enhanced Short-Term Water Demand Forecasting in Urban Areas by Amin E. Bakhshipour, Hossein Namdari, Alireza Koochali, Ulrich Dittmer, Ali Haghighi

Get full text

Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume by Kirti Sharma, Pawan K. Tiwari, Sanjay Kumar Sinha

“…This study delves into the application of machine learning algorithms to enhance societal well-being by harnessing the transformative potential of machine learning advancements in the domain of blood glucose concentration estimation through regression analysis. …”
Get full text

PPDD: Egocentric Crack Segmentation in the Port Pavement with Deep Learning-Based Methods by Hyemin Yoon, Hoe-Kyoung Kim, Sangjin Kim

Subjects: Get full text

Data leakage detection in machine learning code: transfer learning, active learning, or low-shot prompting? by Nouf Alturayeif, Jameleddine Hassine

“…Existing studies introduced methods to detect code-level data leakage using manual and code analysis approaches. …”
Get full text

DART-Vetter: A Deep Learning Tool for Automatic Triage of Exoplanet Candidates by Stefano Fiscale, Laura Inno, Alessandra Rotundi, Angelo Ciaramella, Alessio Ferone, Christian Magliano, Luca Cacciapuoti, Veselin Kostov, Elisa V. Quintana, Giovanni Covone, Maria Teresa Muscari Tomajoli, Vito Saggese, Luca Tonietti, Antonio Vanzanella, Vincenzo Della Corte

Get full text

Dynamic selectout and voting-based federated learning for enhanced medical image analysis by Saeed Iqbal, Adnan N Qureshi, Musaed Alhussein, Khursheed Aurangzeb, Atif Mahmood, Saaidal Razalli Bin Azzuhri

Get full text

Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation by Rashid Mehmood, Mariana Lazar, Xiaohui Liang, Juan M. Corchado, Juan M. Corchado, Juan M. Corchado, Simon See

Subjects: “…neuroimaging analysis…”
Get full text

Credibility-Adjusted Data-Conscious Clustering Method for Robust EEG Signal Analysis by Fatemeh Divan, Teh Ying Wah, Kheng Seang Lim, Ali Seyed Shirkhorshidi

“…Clustering neurodata, including electroencephalography (EEG) signals, is crucial for brain-computer interface (BCI) and neurological analysis. However, traditional methods struggle with noise, overlapping distributions, and high-dimensional data. …”
Get full text

Researching Organic Solar Cells from the Perspective of Literature Big Data Analysis by Qing Wang, Zhixin Liu, Shengda Zhao, Yangjun Yan, Xinyi Li, Yajie Zhang, Xinghua Zhang

Get full text

Data-driven analysis and visualization of dielectric properties curated from scientific literature by Tomoki Murata, Naoto Saito, Eiji Koyama, Ton Nu Thanh Phuong, Ryusuke Misawa, Satoshi Yokomizo, Tomoya Mato, Yu Takada, Sakyo Hirose, Yukari Katsura

Subjects: “…Materials data analysis…”
Get full text

A Data-Driven Monitoring System for a Prescriptive Maintenance Approach: Supporting Reinforcement Learning Strategies by Joaquín Ordieres-Meré, Antonio Sánchez-Herguedas, Ángel Mena-Nieto

“…The aim of this study was to evaluate machine learning algorithms’ capacity to improve prescriptive maintenance. …”
Get full text

An Interpretable Machine Learning Framework for Analyzing the Interaction Between Cardiorespiratory Diseases and Meteo-Pollutant Sensor Data by Vito Telesca, Maríca Rondinone

“…The aim of this study is the development and verification of an interpretable machine learning framework applied to environmental and health data to assess the relationship between environmental factors and daily emergency room admissions for cardiorespiratory diseases. …”
Get full text

Multivariate forecasting of dengue infection in Bangladesh: evaluating the influence of data downscaling on machine learning predictive accuracy by Mahadee Al Mobin

Subjects: “…Machine learning…”
Get full text

Multiview clustering method for view-unaligned data by Ao LI, Cong FENG, Yutong NIU, Shibiao XU, Yingtao ZHANG, Guanglu SUN

Subjects: “…clustering analysis…”
Get full text

Machine Learning in the National Economy by Azamjon A. Usmonov

Subjects: Get full text

Data-Driven Analysis of Causes and Risk Assessment of Marine Container Losses: Development of a Predictive Model Using Machine Learning and Statistical Approaches by Myung-Su Yi, Byung-Keun Lee, Joo-Shin Park

“…By employing advanced statistical analysis, machine-learning techniques, and data preprocessing, the study identifies key factors influencing container loss, including vessel size, incident locations, and primary causes. …”
Get full text

Sentiment Analysis Using Stacking Ensemble After the 2024 Indonesian Election Results by Andy Victor Pakpahan, Fahmi Reza Ferdiansyah, Robby Gustian, Muhammad Nur Faiz, Sukma Aji

Subjects: “…ensemble learning…”
Get full text

Deep Learning-Based Detection of Depression and Suicidal Tendencies in Social Media Data with Feature Selection by İsmail Baydili, Burak Tasci, Gülay Tasci

“…This study proposes a machine learning-based framework that integrates pre-trained language models and advanced feature selection techniques to improve the detection of depression and suicidal tendencies from social media data. …”
Get full text