SCOPE OF THE JOURNAL

The journal aims to publish a wide spectrum of technical research, reviews and articles comprises of collective data, experiments, experiences, engineered modelling, simulations, designs, and innovations in the interdisciplinary/cross-disciplinary/multidisciplinary field of Architecture and built environment. The topic of research for the journal will remain open to intricate researches dealing with the built space and liveability of environment and associated challenges of times e.g. sustainable development and practices, Green infrastructure, Modern Techniques and material for construction, Urbanization and development, landscape design and advance approaches in architectural design etc. The scope of the research will also comprise design theories from conventional to contemporary time line,covering various intangible aspects e.g. Psychology and sociology of spaces, neuro-architecture and human-oriented space development at distinct scales.  The research should be solution based stating facts, diagnosedissues, challenges and design interventions as per the confined scope and limitation. The Original work is required within acceptable range of plagiarism percentage andarticle submitted must not be under consideration of other publishers for publications.

This journal will cover techniques, tools, surveys, case studies pertaining to Computational Intelligence and its varied applications. It will focus on Fuzzy Logic, Neural Networks, Evolutionary Computation, Probabilistic Reasoning, etc. The journal is designed to meet the needs of academicians and industry professionals having a flair for research.

The journal invites original work from the varied sub-domains of CSE disciplines including, but not limited to, Intelligent Systems, Concepts and Algorithms, Intelligent Data Analytics and Computing, Informatics and Applications, Deep Learning and its applications, Optimization Methods, Machine Learning, IOT Based Smart Intelligent systems, Game Systems, 4G/5G Systems, Neural networks, Evolutionary computation, Pattern recognition, Hybrid intelligent systems, Statistical models, Probabilistic methods, Image processing, Compression, Autonomous reasoning, Cloud computing, Data science, Data mining, Human-computer interaction, Real-time systems, Robotics, IoT and smart environments, Telecommunications, Virtual reality, Web mining, Deep learning, Machine Learning and AI in Computational Fluid Dynamics, Modeling and Simulation, Computational Material Science, Numerical Implementation and Complex mathematical modeling, Visualization techniques, Element and particle methods, Boundary elemental analysis etc.