About SHEM
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 Smart Human-centered Emerging Research in Machine Intelligence (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
| Journal Name | Smart Human-centered Emerging Research in Machine Intelligence |
| Abbreviation | SHEM |
| Access Model | Open Access |
| Review Process | Double-Blind Peer Review |
| Publisher | Sinar Mentari Sundara |
Focus & Scope
We welcome submissions addressing complex methodologies intrinsically tied to Artificial Intelligence, including but not limited to the following research areas.
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 manuscript undergoes a rigorous double-blind peer-review process in which the identities of authors and reviewers are concealed from one another to the extent supported by the journal's review procedures. This process aims to promote impartial evaluation, maintain academic rigor, and ensure that editorial decisions are based on scholarly quality, originality, relevance, and methodological soundness.
Immediate Open Access
Smart Human-centered Emerging Research in Machine Intelligence (SHEM) provides immediate open access to its published content. Once formally published, articles are freely available to readers worldwide without subscription or access fees, supporting the broad dissemination, use, and citation of scholarly research.
Digital Preservation Policy
Smart Human-centered Emerging Research in Machine Intelligence (SHEM) recognizes the importance of long-term digital preservation in maintaining the accessibility, integrity, and scholarly value of its published content. The journal is committed to preserving its electronic publications and associated metadata to support continued access to the scholarly record.
The journal's digital preservation approach aims to protect published articles against data loss, technical failures, and potential disruptions to the journal's website or publishing platform. Preservation measures may include maintaining digital backups, retaining article files and metadata, and applying appropriate technical and administrative safeguards.
Preservation and Access Commitment
- Digital Backup: The journal aims to maintain backup copies of published content and relevant metadata to reduce the risk of permanent data loss.
- Content Integrity: Preservation procedures are intended to maintain the integrity and authenticity of published articles and their bibliographic information.
- Long-Term Accessibility: The journal seeks to support the continued availability of its published research, including in the event of temporary website interruptions or technical disruptions.
- Preservation Infrastructure: The journal may use recognized digital preservation services, such as the PKP Preservation Network (PKP PN), where the journal is eligible and the service has been enabled, or other suitable preservation systems.
Smart Human-centered Emerging Research in Machine Intelligence (SHEM) will seek to maintain appropriate preservation arrangements as its publishing infrastructure evolves. Information about the preservation services actively used by the journal should be confirmed through its publishing platform and preservation service records.
