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Aims & Scope

Aim

The primary goals of JSCCA are centered around creating a platform for sharing original and significant contributions in the fields of soft computing and computer science applications. The journal strives to promote the exchange of information and knowledge in research, and to encourage the exploration of new developments and innovations in the use of soft computing to make informed decisions efficiently and accurately. Additionally, JSCCA aims to support academic professionals from local and international institutions in disse

Aim

The Journal of Soft Computing and Computer Applications (JSCCA) is an international, peer-reviewed, open-access journal whose primary aim is to provide a platform for researchers, practitioners, and educators to publish innovative methodologies that integrate artificial intelligence and soft computing techniques with real-world applications. The journal prioritises high-quality applied research with demonstrable real-world impact, alongside innovative theoretical contributions that advance the field.

JSCCA is committed to publishing research that is original, reproducible, and ethically conducted. The journal supports the principles of open science, including data sharing, preprint disclosure, and transparent reporting of methods and findings.

Scope

JSCCA focuses on research that develops and applies computational intelligence, soft computing, and AI techniques to address real-world challenges. The scope includes, but is not limited to, the following 11 subject areas:

  • Computational Intelligence and Soft Computing — Fuzzy logic, evolutionary computation, swarm intelligence, heuristics, metaheuristics algorithms, hybrid soft computing techniques, and optimization algorithms.
  • Machine Learning and Deep Learning — Theories, algorithms, architectures, and applications of machine learning and deep learning including supervised, unsupervised, self-supervised, reinforcement, transfer, and zero and few-shot learning.
  • Computer Vision and Image Processing — Methods and applications for image and video analysis, object detection and recognition, segmentation, medical imaging, remote sensing, pattern recognition, and visual understanding.
  • Natural Language Processing and Speech Technologies — Language understanding, text mining, machine translation, large language models, speech recognition, speech synthesis, dialogue systems, and multilingual AI applications.
  • Data Science, Data Mining, and Big Data Analytics — Novel approaches for data collection, preprocessing, mining, visualization, predictive analytics, knowledge discovery, scalable analysis of structured and unstructured large-scale datasets, and distributed databases.
  • Explainable, Trustworthy, and Responsible AI — Interpretable and explainable AI, fairness, transparency, accountability, robustness, AI governance, ethical AI, human-centered AI, responsible deployment of intelligent techniques, and cognitive algorithms.
  • Cloud and Fog Computing — Architectures, resource management, virtualization, distributed computing, edge and fog computing, service optimization, intelligent cloud-based computing environments, and parallel processing.
  • AI-based Cybersecurity, Privacy, and Biometrics — AI-driven approaches for cybersecurity, intrusion detection, malware analysis, authentication, biometric recognition, privacy preservation, digital forensics, and secure intelligent techniques.
  • Intelligent Network Programming — Software-defined networking, network optimization, routing, wireless communication, Internet of Things (IoT), network automation, and AI-enabled network management.
  • Green AI and Sustainable Computing — Energy-efficient AI models, sustainable computing infrastructures, carbon-aware computing, green data centers, resource-efficient algorithms, and AI applications supporting environmental sustainability.
  • Generative AI — Foundations, methodology, evaluation, and applications of generative AI, including generative models, large language models, multimodal AI, AI agents, synthetic data generation, and AI-assisted content creation.

Manuscripts proposing interdisciplinary applications should clearly articulate the soft computing or AI methodological contribution and demonstrate a meaningful connection to the primary scope areas listed above.

Types of Articles

JSCCA welcomes submissions of the following article types:

  • Original Research Articles: Papers presenting novel findings with clear methodology, results, and discussion that contribute new knowledge to the field.
  • Comprehensive Review Articles: Critical and systematic analyses of existing literature that identify current gaps, synthesise findings across studies, and define future research directions.