Focus and Scope

Focus and Scope

National Journal of Computational Intelligence & Digital Systems (NJCD) focuses on publishing high-quality scholarly works in the field of computational intelligence and digital systems. The journal serves as a platform for researchers, computer scientists, AI practitioners, data analysts, software engineers, policymakers, and related stakeholders to disseminate research findings, theoretical advancements, and critical analyses that contribute to the development of computational intelligence and digital systems knowledge at national and international levels. The journal emphasizes rigorous methodology, originality, and relevance to contemporary computational intelligence and digital systems issues in accordance with recognized academic and accreditation standards.

Scope

The journal welcomes manuscripts in, but not limited to, the following areas:

• Artificial Intelligence and Machine Learning: supervised and unsupervised learning, deep learning, reinforcement learning, probabilistic reasoning, explainable AI.
• Neural Networks: deep neural networks, convolutional neural networks, recurrent neural networks, spiking neural networks, network architecture optimization.
• Fuzzy Logic Systems: fuzzy inference systems, fuzzy control, fuzzy decision-making, fuzzy pattern recognition, hybrid fuzzy models.
• Evolutionary Algorithms and Genetic Programming: genetic algorithms, genetic programming, differential evolution, evolutionary optimization, multi-objective evolutionary algorithms.
• Swarm Intelligence: particle swarm optimization, ant colony optimization, bee colony algorithms, swarm robotics, collective behavior.
• Expert Systems: knowledge-based systems, rule-based reasoning, decision support systems, intelligent diagnostic systems, knowledge acquisition and representation.
• Pattern Recognition and Computer Vision: image processing, object detection and recognition, face recognition, medical image analysis, video analytics.
• Natural Language Processing: text mining, sentiment analysis, machine translation, speech recognition, language modeling, chatbots and conversational AI.
• Robotics and Autonomous Systems: autonomous navigation, robotic control systems, sensor fusion, human-robot interaction, swarm robotics.
• Internet of Things (IoT): IoT architectures, wireless sensor networks, smart home and city applications, IoT security and privacy, real-time data processing.
• Big Data Analytics: large-scale data processing, data mining, predictive analytics, data visualization, distributed computing frameworks.
• Cloud Computing: cloud service models (IaaS, PaaS, SaaS), virtualization, cloud security, serverless computing, cloud resource management.
• Edge and Fog Computing: edge intelligence, fog architectures, real-time processing at the edge, latency-sensitive applications, distributed computing at the network edge.
• Cybersecurity and Digital Forensics: network security, cryptography, intrusion detection systems, malware analysis, digital evidence collection and analysis.
• Blockchain Technology: distributed ledger technology, smart contracts, decentralized applications, cryptocurrency, consensus algorithms.
• Human-Computer Interaction: user interface design, user experience (UX), usability engineering, interactive systems, affective computing.
• Digital Signal and Image Processing: signal filtering and compression, image enhancement and restoration, audio and speech processing, biomedical signal processing.
• Intelligent Control Systems: adaptive control, predictive control, neural control, fuzzy control, autonomous control systems.
• Decision Support Systems: intelligent decision-making, multi-criteria decision analysis, business intelligence, data-driven decision support.
• Smart Systems and Digital Transformation: smart manufacturing (Industry 4.0), digital twins, smart grids, smart healthcare systems, digital transformation strategies.

For detailed submission guidelines and publication policies, authors are encouraged to refer to the Author Guidelines section of the journal.