CSE++ Journal of Advanced Computation, ML, and Systems Engineering

A decentralized, open-access, community-governed publication platform for high-quality research in scientific machine learning, advanced optimization, computational modeling, systems engineering, and related fields.

Focus Areas

• Scientific Machine Learning
• Advanced Optimization
• Computational Modeling
• Systems Engineering
• Mathematics & Physics
• Quantum Computing
• Scientific Infrastructure

How to Submit

1. Fork this repository
2. Create a new folder in PAPERS/ with format: title_year/
3. Include required files:
   • Paper as PDF (one-column LaTeX format)
   • All supporting code in code/
   • Figures in figures/
   • metadata.json with proper fields
   • CITATION.bib file
   • methodology.md explaining your approach
4. Submit a pull request

Review Process

Every submission undergoes peer review checking:

• Technical quality and soundness
• Clarity & reproducibility
• Novelty & significance
• Code quality & documentation

Organization

• Papers organized by category and publication date
• Monthly releases bundle accepted papers
• Top papers featured on GitHub Pages
• Full searchable index with DOIs

Standards

• All code must be reproducible
• Clear methodology required
• Raw data included where applicable
• Zero tolerance for misconduct
• Merit-based acceptance only

Resources

• Detailed Structure & Guidelines
• Paper Template
• Code Guidelines
• Review Process

Community

This is a community-driven journal. Contributors can become:

• Reviewers (after accepted paper)
• Editors (trusted reviewers)
• Maintainers (help organize)

Citation

Each paper includes a CITATION.bib file. Use the DOI or folder permalink as a persistent identifier.

Philosophy

Open science, reproducible research, no institutional barriers. Just pure advancement of knowledge.