Regional trending topics mining from real time Twitter data for sentiment, context, network and temporal analysis by Mousumi Hasan, Mujiba Shaima, Quazi Saad ul Mosaher

“…Using machine learning techniques combined with the VADER algorithm, we conducted a comprehensive analysis involving text, metadata, contextual cues, media, links, and historical data. …”
Get full text

Features of Recruitment: Intelligent Text Analysis of Resume and Vacancies by Irina L. Sizova

Get full text

A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

Get full text

Data-Driven Approaches for Predicting and Forecasting Air Quality in Urban Areas by Cosmina-Mihaela Rosca, Madalina Carbureanu, Adrian Stancu

“…The study integrates pollutant factors (CO, NO₂, SO₂, PM_2.5), meteorological parameters (temperature, humidity, wind speed), and traffic data to determine air quality. For this purpose, 19 predictive models were developed and compared: 12 machine learning algorithms, 7 deep learning, and 1 forecasting model based on structural component analysis. …”
Get full text

Construction and analysis of corporate greenwashing index: a deep learning approach by Xiao Wang, Xukuo Gao, Meng Sun

Get full text

CWCM-Net: A Novel Feature Fusion Method for Oil Spill Detection Using Single- and Quad-Polarization SAR Data by Sohail Jamal, Guangmin Sun, Yu Li, Abdul Qadir Khan, Yuanzhi Zhang, Anna Verlanti, Ferdinando Nunziata

Get full text

Leveraging Digital Twin for operational resilience in the oil and gas industry by Giovanni Mazzuto, Ilaria Pietrangeli, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

Subjects: Get full text

Time Series Forecasting for Air Quality with Structured and Unstructured Data Using Artificial Neural Networks by Kenneth Chan, Paul Matthews, Kamran Munir

Get full text

The pipelines of deep learning-based plant image processing by Kaiyue Hong, Yun Zhou, Han Han

“…Recent advancements in data science and artificial intelligence have significantly transformed plant sciences, particularly through the integration of image recognition and deep learning technologies. …”
Get full text

Assessing remote learning's feasibility: A comprehensive analysis of Philippine public-school teachers’ use of learning management systems and blended learning approaches by Mark Jhon Prestoza

Get full text

Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

“…Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. …”
Get full text

Recovering manifold representations via unsupervised meta-learning by Yunye Gong, Jiachen Yao, Ruyi Lian, Xiao Lin, Chao Chen, Ajay Divakaran, Yi Yao

“…However, data scarcity remains a major challenge in manifold analysis especially for data and applications with real-world complexity. …”
Get full text

Research Opportunity Analysis in The Implementation of Scientific Literacy with Learning Media: Systematic Literature Network Analysis by Olyivia Retdwina Rusma, Muslim Muslim, Lilit Rusyati, Adlina Eugenia Fatimah Ghaisani

“…This study aims to show research trend data related to learning media related to science literacy. …”
Get full text

Large dataset on Fourier transform near infrared (FT-NIR) spectroscopy of green and roasted specialty coffee: Preprocessed infrared spectra and sensory scores for machine learning-... by Andrés F. Bahamón-Monje, Ever M. Morales-Angulo, Gentil A. Collazos-Escobar, Nelson Gutiérrez-Guzmán

“…This approach was designed to establish a robust dataset for calibrating machine learning-based predictive models of coffee cup quality. …”
Get full text

Characteristic genes and immune infiltration analysis of gastric cancer based on bioinformatics analysis and machine learning by Chengwei Xia, Yini Liu, Xin Qing

Get full text

A Comparative Analysis of Machine Learning Algorithms for Classification of Diabetes Utilizing Confusion Matrix Analysis by Maad M. Mijwil, Mohammad Aljanabi

Get full text

Classic Grounded Theory to Analyse Secondary Data: by Lorraine Andrews, Agnes Higgins, Michael Waring Andrews, Joan G. Lalor

“…A subset of the data from the primary study (eight transcripts from interviews with fathers) was used for the secondary data analysis. …”
Get full text

Predicting Absenteeism at Workplace Using Machine Learning and Network Analysis by Donggeun Kim, Jai Woo Lee

“…Since predicting absenteeism is involved with complex associations of such factors, appropriately utilizing machine learning algorithms is required in the analysis. Statistical pre-processing and applications of machine learning methods have developed the comprehensive analysis of massive social data for absenteeism. …”
Get full text

Deep-Learning Approach for an Analysis of Real-Estate Prices and Transactions by Cheng-Hong Yang, Borcy Lee, Yu-Da Lin

“…A double-bottom map particle swarm optimization (DBM-PSO) clustering algorithm was then used to determine the optimal clustering solution. Cluster analysis and deep learning were conducted on data collected from public websites to understand the factors that led to the sustained increase in housing prices in Taiwan over the past decade. …”
Get full text

AN ADVANCED MACHINE LEARNING (ML) ARCHITECTURE FOR HEART DISEASE DETECTION, PREDICTION AND CLASSIFICATION USING MACHINE LEARNING by Muhammad Anas, Muhammad Atif Imtiaz, Saad Khan, Arshad Ali, Noor Fatima Naghman, Hamayun Khan, Sami Albouq

“…The present work attempts to better predict this disease from the chest pain symptom, and classify it by designing an efficient machine learning system based on a dataset with 303 patient data made available to the public domain. …”
Get full text