Optimized Computational Intelligence Driven Decision-Making: Theory, Application and Challenges Optimized Computational Intelligence Driven Decision Making Theory Application and Challenges, 2024 This book covers a wide range of advanced techniques and approaches for designing and implementing computationally intelligent methods in different application domains which is of great use to not only researchers but also academicians and industry experts. Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains. includes real-life case studies highlighting different advanced technologies in computational intelligence; provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics; reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain; offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges; presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics; includes architectural models and applications-based augmented solutions for optimized computational intelligence. Audience The book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence.
Preface Optimized Computational Intelligence Driven Decision Making Theory Application and Challenges, 2024
Preface ACM International Conference Proceeding Series, 2021
Effort estimation of web-based projects: A systematic review Dhiraj Kumar Goswami, Saurabh Bilgaiyan, Samaresh Mishra International Journal of Productivity and Quality Management, 2021 Lately, the importance of effort estimation of web-based projects has increased. Due to the web project's dynamic changes, it becomes more difficult to use a particular estimating method. According to the CHAOS Report 1994, only about 16.2% of the web projects are successfully developed in a given budget and time. In the first half of this study, we have provided a systematic analysis of the effort estimation of web-based projects. This would be useful for users to gain more knowledge on effort estimation in web-based projects since very few research works have been carried out in this field. Nowadays, web projects are more complex and data-centric. So, the inclusion of the database in the estimation process becomes necessary. Secondly, we proposed an estimation model, where the database is taken into consideration for its effort estimation. The result that we found after utilising the model gave more accurate effort estimation.
Reliability enhancement of computer software Shrija Garnaik, Tirthankar Gayen, Samaresh Mishra Proceedings of the 2013 10th International Joint Conference on Computer Science and Software Engineering Jcsse 2013, 2013
