Global Trends in Intelligent Computing Research and Development

• #1. Clustering-Based Stability and Seasonality Analysis for Optimal Inventory Prediction
• #2. Efficient Color Image Segmentation by a Parallel Optimized (ParaOptiMUSIG) Activation Function
• #3. Learning Using Soft Computing Techniques
• #4. Chaotic Map Model-Based Interference Employed in Quantum-Inspired Genetic Algorithm to Determine the Optimum Gray Level Image Thresholding
• #5. Feature Selection Algorithms for Classification and Clustering in Bioinformatics
• #6. Soft Subspace Clustering for Cancer Microarray Data Analysis: A Survey
• #7. Multi-Objective Genetic and Fuzzy Approaches in Rule Mining Problem of Knowledge Discovery in Databases
• #8. Rough Sets and Approximate Reasoning
• #9. Case-Based Reasoning and Some Typical Applications
• #10. Hybrid Genetic Algorithm: An Optimization Tool
• #11. Knowledge Representation Using Formal Concept Analysis: A study on Concept Generation
• #12. Heterogeneous Data Structure “r-Atrain”
• #13. Comparative Analysis of Hybrid Soft Set Methods
• #14. Diagram Drawing Using Braille Text: A Low Cost Learning Aid for Blind People
• #15. Application of Functional Approach to Lists for Development of Relational Model Databases and Petri Net Analysis
• #16. Soft Sets: Theory and Applications
• #17. Adaptive and Neural pH Neutralization for Strong Acid-Strong Base System
• #18. A Shannon-Like Solution for the Fundamental Equation of Information Science

B. K. Tripathy a Senior Professor in the School of Computing Sciences and Engineering, VIT University, at Vellore, India. He has published more than 190 technical papers in various international journals, conferences, and book chapters and has guided 14 scholars for their Ph.D degrees in both mathematics and computer science. He is associated with many professional bodies like IEEE, ACEEE, ACM, IRSS, AISTC, ISTP, CSI, AMS, and IMS. He is in the editorial board of several international journals like CTA, ITTA, AMMS, IJCTE, AISS, AIT, and IJPS and is a reviewer of over 40 international journals like Mathematical Reviews, Information Sciences, Analysis of Neural Networks, Journal of Knowledge Engineering, Mathematical Communications, IEEE Transactions on Fuzzy Systems and Journal of Analysis. His research interest includes fuzzy sets and systems, rough sets and knowledge engineering, data clustering, soft computing, granular computing, theory of multisets, list theory, content based learning, remote laboratories and social networks.

D. P. Acharjya received his Ph. D in computer science from Berhampur University, India; M. Tech. degree in computer science from Utkal University, India in 2002; and M. Sc. from NIT, Rourkela, India. He has been awarded with Gold Medal in M. Sc. Currently he is an Associate Professor in the school of computing sciences and engineering, VIT University, Vellore, India. He has authored many national and international journal papers and five books; Fundamental Approach to Discrete Mathematics, Computer Based on Mathematics, Theory of Computation; Rough Set in Knowledge Representation and Granular Computing; Introduction to Information Technology and Computer Programming to his credit. He is associated with many professional bodies CSI, ISTE, IMS, AMTI, ISIAM, OITS, IACSIT, CSTA, IEEE and IAENG. He was founder secretary of OITS Rourkela chapter. His current research interests include rough sets, formal concept analysis, knowledge representation, data mining, granular computing and business intelligence.