INTERNATIONAL • PEER-REVIEWED • OPEN ACCESS
Empowering Digital Intelligence.
Pioneering Next-Gen Computing.
The International Journal of Digital Intelligence and Computing (JDIC) is dedicated to publishing high-quality, peer-reviewed scientific contributions across artificial intelligence, machine learning, data intelligence, cybersecurity, cloud platforms, and intelligent digital systems.
JDIC fosters interdisciplinary research bridging theoretical computer science with real-world digital applications in smart cities, autonomous systems, and digital health.
JDIC welcomes original research contributions in the following 12 key computing areas:
Generative AI models, deep neural networks, reinforcement learning, computer vision, and NLP.
Cognitive computing, bio-inspired algorithms, human-agent interaction, and intelligent decision systems.
Distributed data lakes, predictive modeling, real-time analytics stream processing, and data mining.
Multi-cloud architectures, microservices, edge AI processing, container orchestration, and serverless.
Post-quantum cryptography, cloud security, network intrusion detection, threat intelligence, and privacy.
Wireless sensor networks, smart grid systems, digital twin modeling, and industrial IoT (IIoT).
Unmanned vehicles, robotic control algorithms, computer vision navigation, and sensor fusion.
Automated software testing, CI/CD pipelines, software quality metrics, and system reliability.
Quantum algorithms, qubit hardware modeling, quantum cryptography, and hybrid quantum-classical AI.
Explainable AI (XAI), accessibility, adaptive user interfaces, AR/VR, and ethical AI governance.
Smart contracts, Web3 protocols, decentralized consensus algorithms, and distributed ledger systems.
AI in health informatics, smart FinTech systems, edtech platforms, and sustainable green computing.
Publish your digital intelligence research in Volume 1, Issue 1 with fast-track double-blind peer review and immediate CrossRef DOI assignment.
Click on any track tab below to view detailed research subtopics open for submission.
Machine Learning, Cognitive Computing, Deep Neural Nets & NLP
Transparent 8-step editorial workflow ensuring fast decisions and maximum scientific quality.
Authors submit manuscript and abstract via the online submission portal.
Editorial team verifies manuscript scope and technical formatting.
Automated similarity check to ensure 100% original scientific contribution.
Evaluation led by international digital intelligence subject matter experts.
Author receives decision: Accept, Minor Revision, Major Revision, or Reject.
Authors submit revised manuscript addressing reviewer recommendations.
Editorial board issues formal acceptance letter and proofing copy.
Instant publication online with CrossRef DOI assignment and indexing.
Download the official JDIC article formatting template before submitting your manuscript.
Submit your digital intelligence paper to JDIC for rapid peer review, worldwide open access distribution, and CrossRef DOI indexing.
Volume 1, Issue 1 (2026) • Published August 2026
Authors: Dr. Elena Rostova, Prof. Dr. Christopher Hayes
Abstract: As digital intelligence models proliferate across safety-critical domains, transparent decision algorithms become essential. This paper presents an explainable cybernetic architecture for real-time anomaly detection.
