Journal Overview
Smart Human-centered Emerging Research in Machine Intelligence (SHEM) is an international, peer-reviewed scientific journal dedicated to the rapid publication of high-quality, innovative research in Artificial Intelligence (AI). The journal serves as a premier forum for academics, researchers, and industry professionals to share breakthroughs in interdisciplinary AI applications, covering both experimental and theoretical frameworks.
The scope of SHEM is designed to adapt to the highly dynamic evolution of AI methodologies. We place a particular emphasis on knowledge modeling, representation frameworks, and practical machine intelligence implementations designed to solve complex real-world problems while remaining human-centric.
Key Information
Focus & Scope
We welcome submissions addressing complex methodologies intrinsically tied to Artificial Intelligence, including but not limited to:
Human-Centered AI & Knowledge Modeling
Advancements in developing intelligent systems designed with human needs, interactive behavior, and cognitive workflows at their core.
Knowledge Representation & Reasoning
Mathematical modeling of logic systems, ontologies, structured metadata schemas, and automated inference algorithms for complex problem-solving.
Real-World AI Implementations
Deployment of machine learning pipelines, deep neural architectures, and edge AI in practical sectors such as medicine, industry, smart systems, and public policy.
Interdisciplinary AI Studies
Collaborative research that fuses artificial intelligence techniques with social sciences, bioinformatics, humanities, and green technologies.
Double-Blind Peer-Review
Every submitted paper undergoes a rigorous, fully blinded peer-review evaluation to maintain high academic rigor and neutral quality control.
Immediate Open Access
Once formally accepted, all manuscripts are made instantly and permanently free for anyone across the globe to read, download, or cite.
