Submissions

Author Guidelines

1) Scope and suitability

The Journal of Intelligent Systems, Control, and Applications (JISCA) publishes research and applied studies on intelligent systems, control and automation, and applied artificial intelligence. Submissions may include (but are not limited to) learning algorithms, classification and prediction, optimization and decision-making, system modeling and identification, controller design, and domain applications in cyber-physical and industrial systems.

Submissions should demonstrate clear technical contribution and credible evaluation (theoretical analysis, benchmarking, simulation, experiments, and/or real-world deployment).

2) Article types

JISCA considers the following manuscript categories ( WordTemplate  and LaTeXTemplate): 

• Research Articles (original methods, theory, or applied contributions)

• Applied/Industrial Case Studies (system deployments, engineering lessons learned)

• Review Articles / Tutorials (structured surveys with clear taxonomy and references)

• Short Communications (concise results, negative results, or targeted improvements)

• Student Project Papers (capstone or course outputs meeting the same quality standards)

3) Submission requirements

All submissions must include:

• Title (concise, specific)

• Abstract (150–250 words recommended; must stand alone)

• Keywords (4–8)

• Author affiliations and corresponding author email

• Main manuscript (PDF is acceptable at submission; source files may be requested after acceptance)

• Figures and tables embedded and readable in the PDF

• References with complete bibliographic details

Optional but encouraged:

• Code/data availability statement (link to repository or availability on request)

• Appendix with additional derivations, proofs, or implementation details

4) Formatting and structure (recommended)

To support consistency and peer review, JISCA recommends the following structure:

1. Introduction and contribution summary

2. Related work

3. Problem formulation / methodology

4. Experimental setup or simulation environment

5. Results and discussion (include ablation/sensitivity where applicable)

6. Limitations

7. Conclusion and future work

5) Quality expectations (common desk-reject reasons)

An editor may desk reject submissions that:

• Fall outside the journal’s aims and scope

• Lack a clear contribution or novelty

• Provide insufficient experimental detail to evaluate claims

• Use inappropriate baselines or incomplete comparisons

• Present results without uncertainty, statistical justification, or repeated trials (where relevant)

• Are primarily descriptive without technical depth (e.g., “application reports” without analysis)

• Include plagiarized content or excessive self-plagiarism

6) Reproducibility and reporting

Authors should report enough detail for others to reproduce or meaningfully validate the results, including:

• Dataset descriptions and preprocessing

• Model/algorithm settings and hyperparameters

• Training procedures and stopping criteria

• Hardware and runtime environment (for computational results)

• Metrics, baselines, and evaluation protocol
  For control and cyber-physical submissions, include relevant details such as sampling time, constraints, stability considerations, disturbance/noise assumptions, and safety limits.

7) Ethics, permissions, and responsible AI

Before submitting, authors must ensure:

• Permission to publish any third-party material (figures, photos, datasets, code)

• All listed authors have approved the submission and authorship order

• Human/animal subjects research follows applicable laws and has ethics approval where required

• AI systems involving sensitive data or potential harms include appropriate risk mitigation and disclosure

8) Originality and plagiarism

Submissions must be original and not under consideration elsewhere. Expanded versions of conference papers may be considered when they include substantial new content (e.g., extended analysis, new experiments, stronger theory) and clearly cite the prior publication.

9) Data, code, and citations

JISCA encourages authors to share code and data when possible. If sharing is not possible, authors should explain constraints (e.g., proprietary data) and provide sufficient methodological detail.

Citations should be complete and accurate. Authors are responsible for ensuring that references are accessible and properly attributed.

10) Review process

All submissions undergo editorial screening for scope and basic quality. Suitable manuscripts are sent for peer review. Final decisions are made by the editorial team based on reviewer reports and editorial judgment.