International Journal of Hybrid Intelligent Systems

Aims & Scope✦ Inferred from recent articles

This journal focuses on the application of intelligent systems and machine learning techniques to solve complex problems across various domains. Recent articles demonstrate the use of these methods for image analysis and classification in areas such as pavement crack detection, medical imaging (COVID-19 detection, mammography), and agricultural applications (tomato disease identification, maturity assessment). The journal also covers predictive maintenance in manufacturing, air traffic control, digital channel equalization, power system protection, and visual speech recognition. Furthermore, it explores the use of intelligent systems for data warehouse modeling and decision support, as well as the analysis of physiological data for stress assessment and heart disease diagnosis.

AI-summarised from recent articles · verify on the publisher page

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

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.

Subject Classification