Aim

Learning Nexus of Computing (LNC) is an international, peer-reviewed, open-access journal dedicated to advancing research and innovation in the fields of computing, information technology, and interdisciplinary engineering. The journal aims to provide a high-quality platform for researchers, academicians, industry professionals, and practitioners to publish original research, review articles, case studies, and emerging technological advancements.

LNC seeks to bridge the gap between theoretical research and practical applications by promoting innovative ideas, cutting-edge technologies, and interdisciplinary collaboration that contribute to scientific and technological progress. The journal is committed to maintaining high standards of academic integrity, ethical publishing practices, and rigorous peer review to ensure the publication of impactful and reliable research.

Scope

Learning Nexus of Computing welcomes original and unpublished manuscripts in, but not limited to, the following areas:

• Artificial Intelligence (AI) and Machine Learning

• Deep Learning and Neural Networks

• Computer Vision and Image Processing

• Pattern Recognition and Biometrics

• Data Science, Big Data Analytics, and Business Intelligence

• Cloud Computing and Edge Computing

• Internet of Things (IoT)

• Cybersecurity, Information Security, and Digital Forensics

• Blockchain Technology and Distributed Systems

• Software Engineering and Software Testing

• Computer Networks and Network Security

• Wireless Communication and Mobile Computing

• Embedded Systems and VLSI Design

• Robotics and Intelligent Systems

• Human-Computer Interaction (HCI)

• Natural Language Processing (NLP)

• High-Performance Computing and Parallel Computing

• Quantum Computing

• Computer Graphics, Virtual Reality (VR), and Augmented Reality (AR)

• Database Systems and Information Management

• Web Technologies and Internet Applications

• Smart Cities and Intelligent Transportation Systems

• Digital Healthcare and Biomedical Computing

• Educational Technology and E-Learning Systems

• Industry 4.0 and Smart Manufacturing

• Green Computing and Sustainable Computing

• Digital Twins and Intelligent Automation

• Signal Processing and Communication Systems

• Electronics, Electrical, and Embedded Computing Applications

• Computational Mathematics and Scientific Computing

• Emerging Trends in Computing and Information Technology

• Interdisciplinary applications of computing in science, engineering, healthcare, agriculture, education, environmental sciences, and industrial automation.

Types of Manuscripts

The journal considers the following categories of submissions:

• Original Research Articles

• Review Articles

• Short Communications

• Case Studies

• Technical Notes

• Survey Papers

• Book Reviews

• Editorials and Invited Articles

• Special Issue Papers

Target Audience

The journal serves researchers, faculty members, postgraduate and doctoral students, scientists, engineers, software professionals, industry experts, policymakers, and innovators working in the broad domains of computing, engineering, and information technology.

Publication Policy

All submitted manuscripts undergo a rigorous double-blind peer-review process and are evaluated based on originality, technical quality, significance, methodological soundness, and relevance to the journal's scope. Only manuscripts that meet the journal's ethical and academic standards are accepted for publication.

Learning Nexus of Computing encourages interdisciplinary, innovative, and application-oriented research that contributes to the advancement of knowledge and addresses real-world scientific and technological challenges.