The Journal of Advanced Computing and Intelligent Technologies (JACIT) aims to advance scientific knowledge and technological research in computer science, artificial intelligence, advanced computing, and intelligent information systems.
The journal provides an international scholarly platform for the dissemination of original research, theoretical investigations, methodological developments, and innovative computational approaches that contribute to the advancement of modern computing technologies.
The journal encourages research addressing complex computational challenges through the development of efficient algorithms, intelligent architectures, secure computing environments, and reliable digital systems. Particular emphasis is placed on studies that demonstrate scientific originality, methodological rigor, experimental validation, and significant contributions to computational theory or technological applications.
The principal objective of the journal is to facilitate interdisciplinary scientific exchange, promote responsible technological innovation, and support the development of intelligent computing solutions applicable to academic research, industrial systems, and emerging digital environments.
The journal considers scholarly contributions across theoretical, experimental, and applied computing disciplines:
Machine learning algorithms, deep learning architectures, reinforcement learning, explainable AI, generative models, intelligent decision systems, and automated reasoning.
High-performance computing, parallel and distributed processing, evolutionary algorithms, swarm intelligence, optimization methods, and computational modeling.
Data mining, predictive analytics, large-scale processing, knowledge discovery, data engineering, statistical learning, information retrieval, and data-driven systems.
Network defense, cryptographic protocols, digital forensics, intrusion detection, privacy-preserving computation, secure software, and cybersecurity frameworks.
Cloud computing architectures, edge and fog computing, distributed systems, virtualization, resource allocation, serverless computing, and scalable infrastructure.
Internet of Things (IoT), Industrial IoT, sensor networks, intelligent devices, cyber-physical systems, smart environments, and secure communication protocols.
Software architecture, testing, automated software development, requirements engineering, quality assurance, DevOps, model-driven engineering, and AI-assisted SE.
Wireless networks, next-generation communication systems, software-defined networking, network virtualization, routing protocols, and optimization.
Natural language understanding, speech processing, machine translation, image recognition, object detection, video analytics, multimodal learning, and visual AI.
Intelligent robotics, robotic perception, autonomous navigation, human–robot interaction, adaptive control, industrial automation, and decision-making.
Blockchain architectures, distributed ledger technologies, smart contracts, decentralized applications, consensus mechanisms, and secure digital transactions.
Human–computer interaction, user-centered computing, intelligent user interfaces, accessibility, augmented reality, virtual reality, and adaptive interfaces.
Database management systems, intelligent databases, knowledge representation, knowledge graphs, semantic technologies, ontology engineering, and data integration.
Quantum computing algorithms, quantum information processing, neuromorphic computing, approximate computing, and unconventional computing architectures.
Intelligent computing applications in healthcare, education, agriculture, manufacturing, transportation, fintech, and smart infrastructure with strong computational focus.
| Original Research Articles | Studies presenting novel algorithms, computational models, system architectures, or experimentally validated technological findings. |
| Review Articles | Critical evaluations and comprehensive syntheses of significant developments in computing and intelligent technologies. |
| Systematic Reviews | Structured assessments of existing research using transparent and reproducible literature review methodologies. |
| Methodological Articles | Contributions describing the development, validation, or improvement of computational methods and analytical techniques. |
| Technical Research Articles | Investigations addressing system design, implementation, performance evaluation, and technological advancements. |
| Short Communications | Concise reports presenting focused scientific findings or emerging computational developments. |
Manuscripts should demonstrate originality, technical accuracy, methodological transparency, and conclusions supported by appropriate theoretical analysis or empirical evidence. Experimental studies are expected to describe relevant datasets, computational environments, model configurations, evaluation metrics, and analytical procedures sufficiently to permit scientific assessment and reproducibility.
Research involving personal data, human participants, sensitive information, or automated decision-making must address applicable privacy, security, ethical, and legal requirements. Authors should disclose relevant limitations, potential biases, conflicts of interest, and the use of artificial intelligence tools where required.
Ethics Framework: The journal’s publication ethics framework is informed by relevant principles of the Committee on Publication Ethics (COPE), with emphasis on research integrity, accurate reporting, responsible authorship, and independent editorial evaluation.
Scholarly Contribution: The Journal of Advanced Computing and Intelligent Technologies seeks contributions that offer meaningful advances in computational theory, algorithmic development, intelligent system design, or applied computing technologies. Studies focused exclusively on noncomputational subject areas fall outside the principal scope.