Aim & Scope

Aim

The primary aim of the journal is to provide an international forum for researchers, academicians, industry professionals, and practitioners to disseminate high-quality, original research and innovative developments in the fields of intelligent computing, data analytics, and their real-world applications. The journal seeks to bridge the gap between theoretical foundations and practical implementations of intelligent and analytical systems across multidisciplinary domains.

Objectives

• To promote cutting-edge research in intelligent computing paradigms, including artificial intelligence, machine learning, deep learning, and cognitive computing.

• To encourage the development and application of advanced analytics, data mining, and big data technologies for solving complex real-world problems.

• To provide a platform for interdisciplinary research integrating computing, analytics, and application-oriented solutions in science, engineering, healthcare, industry, and society.

• To foster innovation in algorithm design, intelligent systems, and decision-support mechanisms.

• To facilitate knowledge exchange between academia and industry by publishing research with strong practical relevance and societal impact.

• To support emerging researchers by maintaining a rigorous, transparent, and timely peer-review process aligned with international publication standards.

Scope

The journal covers theoretical, experimental, and applied research in the broad areas of intelligent computing, data analytics, and application-oriented technologies.