Описание: This book gathers selected research papers presented at the International Conference on Recent Trends in Machine Learning, IOT, Smart Cities & Applications (ICMISC 2020), held on 29-30 March 2020 at CMR Institute of Technology, Hyderabad, Telangana, India.
Описание: FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research.
Описание: It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the "translation" of basic research into applied research and of applied research into practice.
Описание: The QL&SC 2012 is a major symposium for scientists, and practitioners all around the world to present their researches, results, ideas, developments and applications in such areas as quantitative logic, many-valued logic, fuzzy logic and more. This book provides an introduction to fuzzy reasoning and soft computing.
Описание: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions.
Описание: The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions.
Описание: This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020.
Описание: Chapter 1. Self-optimization and Resource-utilization SDN Framework for HetNets.- Chapter 2. Brain tumor detection using machine learning in gui.- Chapter 3. Modeling of solar emergency system in power station to mitigate blackout.- Chapter 4. Modelling And Simulation Of Permanent Magnet Syn- chronous Motor For Performance Enhancement Using ANSYS Maxwell.- Chapter 5. Assessment on the Adequacy of Dual Current Supply in CMOS Dual Differential Amplifier.- Chapter 6. File Authentication Ownership using Blockchain.- Chapter 7. Image Retrieval Based on Texture using Local Binary Pattern and Local Phase Quantization.- Chapter 8. Comparative study of human activity recognition on sensory data using machine learning and deep learning.- Chapter 9. Segmentation of Retinal Blood Vessel using an Algorithm-based Gamma Distribution of Matched filter.- Chapter 10. Phishing Prevention Techniques: Past, Present and Future.
Описание: This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23-24 January 2020.
Описание: This book features selected papers presented at Second International Conference on International Conference on Information Management & Machine Intelligence (ICIMMI 2020) held at Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India during 24 - 25 July 2020. cloud-based applications for machine learning;
Описание: This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020.
Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.
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