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The book comprises selected papers presented at the International Conference on Advanced Computing, Networking and Informatics (ICANI 2018), organized by Medi-Caps University, India. It includes novel and original research work on advanced computing, networking and informatics, and discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques in the field of computing and networking.

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Design and Implementation of Fuzzy Expert System for Dengue Diagnosis.- Reduced Order Modelling of Linear Time-Invariant Systems Using Soft Computing Technique.- Automated Classification of Cancerous Brain Tumours using Haarlet Transform and Probabilistic Neural Networks.- Solar Energy Prediction Using Back Propagation in Artificial Neural Networks.- Movie Rating Prediction System based on Opinion Mining and Artificial Neural Networks.- Classification of Satellite Images on HDFS Using Deep Neural Networks.- Enhanced Entity Extraction Using Big Data Mechanics.- Improved Ranking for Search Over Encrypted Cloud Data Using Parallel Index.- A Framework for Data Storage Security with Efficient Computing in Cloud.- Cloud Scheduling Using Improved Hyper Heuristic Framework.- An Approach for Grammatical Inference based on Alignment of Slot.- Effective Product Ranking Using Opinion Mining.- A Band Jamming Technique with Non-Coherent Detection for Wireless Network Security.

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Raj Kamal completed his M.Sc. at the age of 17, and published his first research paper in a UK journal and his first program, written in FORTRAN that ran at ICT 1904, at the age of 18 and completed his Ph.D. at the Indian Institute of Technology Delhi at 22. He is currently associated with Medicaps University, Indore, India. He pursued his postdoctoral studies (1978-79) at Uppsala University, Uppsala, Sweden. He has 49 years of experience in research and teaching and has published 142 research papers in respected national and international journals and conferences. His research interest areas include Internet of Things, data analytics, data visualization, app visualization, vehicular technology embedded systems, machine learning and fuzzy-logic-based expert systems, optical communication, spectroscopy, and material science.
Michael Henshaw is Professor of Systems Engineering; Head of the Systems Division at Loughborough University, UK and leads the Engineering Systems of Systems (EsoS) Research Group. His research focuses on integration and management of complex socio-technical systems, with a particular emphasis on the challenges of through-life management of systems and capabilities. Prof. Henshaw graduated in applied physics, and his early research focused on laser-plasma interactions, using computational fluid dynamics to investigate various phenomena in applications such as X-ray lasers. He joined British Aerospace (later BAE Systems) as an aerodynamicist and worked for seventeen years in aeronautical engineering tackling problems associated with unsteady aerodynamics (computational and experimental) and, later, multi-disciplinary integration. He was appointed to a chair in Systems Engineering at Loughborough in 2006 to direct the large (œ4M) multi-university, multi-disciplinary programme sponsored by EPSRC and BAE Systems, NECTISE, which ran from November 2005-April 2009. He has an international reputation for his work in systems of systems. Prof. Henshaw´s research covers the themes of systems of systems, interoperability, through-life management, network enabled capability (NEC), autonomous systems, cyber security, and system lifecycles.

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