Journal Guide

IJCMSSE provides a blend of theoretical and applied study of computational materials science and surface engineering. Its scope includes original contributions on materials science and engineering, surface engineering, and computational methods of modelling, simulation and prediction for designing materials and structures at all length scales. The journal aims to address solutions to current engineering problems in which computational materials science and surface engineering methods must be applied, and to publish state-of-the-art reviews of current problems that will stimulate research.

IJCVR is an international refereed journal in the field of image processing, pattern recognition, machine vision and image understanding, providing an international forum for professionals, engineers and researchers.

IJCAET is a journal of new knowledge, reporting research and applications which highlight the opportunities and limitations of computer aided engineering and technology in today's lifecycle-oriented, knowledge-based era of production. Contributions that deal with both academic research and industrial practices are included. IJCAET is designed to be a multi-disciplinary, fully refereed and international journal.

IJCAT addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.

JCEELL is the journal of continuing engineering education, lifelong learning and professional development for scientists, engineers and technologists. It deals with continuing education and the learning organisation, virtual laboratories, interactive knowledge media, new technologies for delivery of education and training, future developments in continuing engineering education; continuing engineering education and lifelong learning in the field of management, and government policies relating to continuing engineering education and lifelong learning.

IJCIS provides a professional and scholarly forum for cross-learning between different scientific and technological disciplines, and between business and economic, as well as between societal and managerial, disciplines in the area of critical infrastructures. Critical infrastructures are networks for the provision of telecommunication and information services, energy services (electrical power, natural gas, oil and heat), water supply, transportation of people and goods, banking and financial services, government services and emergency services.

Many current data analysis techniques are beyond the reach of most managers and practitioners. Obscure maths and daunting algorithms have created an impassable chasm for problem solvers and decision makers. IJDATS bridges three gaps: firstly, a gap between academic ivory tower and the real world; secondly, a gap between quantitative data analysis techniques and qualitative data analysis techniques; and finally, a gap between a specific technique and an overall strategy.

Mining bioinformatics data is an emerging area at the intersection between bioinformatics and data mining. The objective of the IJDMB is to facilitate collaboration between data mining researchers and bioinformaticians by presenting cutting edge research topics and methodologies in the area of data mining for bioinformatics. This perspective acknowledges the inter-disciplinary nature of the research in data mining and bioinformatics and provides a unified forum for researchers/practitioners/students/policy makers to share the latest research and developments in this fast growing multi-disciplinary research area.

Facilitating transformation from data to information to knowledge is paramount for organisations. Companies are flooded with data and conflicting information, but with limited real usable knowledge. However, rarely should a process be looked at from limited angles or in parts. Isolated islands of data mining, modelling and management (DMMM) should be connected. IJDMMM highlightes integration of DMMM, statistics/machine learning/databases, each element of data chain management, types of information, algorithms in software; from data pre-processing to post-processing; between theory and applications.