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It gives clarity over fuzzy systems that how being helped and ingested with Wireless Sensor Networks. It introduces the fundamental concepts of Wireless Sensor Networks. It covers Energy Efficient Techniques & Routing Protocols of WSN. It gives you more clarity, how the Clustering scheme Employing Fuzzy System to extend the life span of WSN’s. Enlarging the Lifespan and Securing Data Transmission of Wireless Sensor Networks. It covers Role of Simulator in Implementing the System. It Can be helpful to gain the savviness for the WSN Aspirers who wants to be a Researcher.
Software defects are always found to be a major cause of failure As the researchers continue to proceed with the use of data mining technology, Here we have used data in different software life cycle phases for defect prediction. In this proposed approach, we have performed robust preprocessing and defects detection algorithm on the metrics data. This approach effectively handles the uncertain data and transforms the data for defect detection. Finally, the proposed defect detection model was applied to the transformed data to detect the metric decision patterns.
ACO with EBS is an effective approach in scheduling a small set of tasks and manages to yield better plans with high statistic and mean access time and more stable workload assignments compared with other existing approaches. In the ABC-GA model software project task scheduling framework offers a critical importance on static data. This method successfully optimizes the project scheduling using static data. Traditional ACO solves the problem of project scheduling, but it does not consider the employee allocation matrix.
This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
Email classification is improved by using an effective classification technique that alleviates the issue of email classification and enhances its effectiveness. Text classification and multi-class classifiers are used to classify the classes, which are then tested using a data mining tool for accuracy. This book discusses different types of email spam classifications. Email text messages must be classified effectively in order to alleviate this problem. In this book, the goal is to improve the accuracy of email classification. We observe that the multi-objective function based on the email classification is more accurate than a single objective function.
This book comprises selected papers from the International Conference on Numerical Heat Transfer and Fluid Flow (NHTFF 2018), and presents the latest developments in computational methods in heat and mass transfer. It also discusses numerical methods such as finite element, finite difference, and finite volume applied to fluid flow problems. Providing a good balance between computational methods and analytical results applied to a wide variety of problems in heat transfer, transport and fluid mechanics, the book is a valuable resource for students and researchers working in the field of heat transfer and fluid dynamics.
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