This journal publishes research on the application of machine learning and deep learning techniques to solve complex problems across various domains. Topics include hydrological forecasting, cloud computing resource management, mental health prediction, medical image analysis, underwater object detection, and financial market prediction. The research often involves developing novel frameworks, optimizing existing models, and evaluating their performance on real-world datasets.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Information SystemsQ2
Library and Information SciencesQ2
Subject Classification
Web of Science Categories
Computer Science, Information Systems
Scopus Categories
Library and Information SciencesInformation Systems
Research Topics (OpenAlex)
IoT and Edge/Fog ComputingNetwork Security and Intrusion DetectionBlockchain Technology Applications and SecurityTopic ModelingAdvanced Neural Network ApplicationsAdvanced Technologies in Various FieldsPrivacy-Preserving Technologies in DataAdvanced Malware Detection TechniquesAnomaly Detection Techniques and ApplicationsSmart Grid Security and Resilience