Описание: This book gathers high-quality papers presented at the Third International Conference on Smart Computing and Informatics (SCI 2018-19), which was organized by the School of Computer Engineering and School of Computer Application, Kalinga Institute of Industrial Technology, Bhubaneswar, India, on 21-22 December, 2018.
Описание: This book presents selected, high-quality research papers from the International Conference on Electronic Systems and Intelligent Computing (ESIC 2020), held at NIT Yupia, Arunachal Pradesh, India, on 2 - 4 March 2020.
Описание: This book constitutes the proceedings of the Third International Symposium on Intelligent Computing Systems, ISICS 2020, held in Sharjah, United Arab Emirates, in March 2020. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.
Автор: Sharma Harish, Govindan Kannan, Poonia Ramesh C. Название: Advances in Computing and Intelligent Systems: Proceedings of Icacm 2019 ISBN: 9811502218 ISBN-13(EAN): 9789811502217 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Intuitionistic Fuzzy Shannon Entropy Weight Based Multi Criteria Decision Model with TOPSIS to Analyse Security Risks and Select Online Transaction Method.- Chapter 2. Fermat Spiral Based Moth-Flame Optimization Algorithm for Object-Oriented Testing.- Chapter 3. A Comparative Study of Information Retrieval Using Machine Learning.- Chapter 4. Adaptive Background Subtraction Using Manual Approach for Static Images.- Chapter 5. Tweets Daily: Categorised News from Twitter.- Chapter 6. Compressing Meta Class Files through String Optimization.- Chapter 7. An Algorithm to Generate Largest Prime Number.- Chapter 8. Development of a Discretization Methodology for 2.5D Milling Toolpath optimization Using Genetic Algorithm.- Chapter 9. Machine Learning Based Prediction of PM 2.5 Pollution Level in Delhi.- Chapter 10. A Comparative Study of Load Balancing Algorithms in a Cloud Environment.- Chapter 11. Information Retrieval from Search Engine Using Particle Swarm Optimization.- Chapter 12. Genetic Algorithm Based Multi Objective Optimization Framework to Solve Travelling Salesman Problem.- Chapter 13. Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization.- Chapter 14. Innovative Review on Artificial Bee Colony Algorithm and it's Variants.- Chapter 15. Multi Linear Regression Model to Predict Correlation between IT Graduate Attributes for Employability using R.
Описание: The book focuses on the state-of-the-art technologies pertaining to advances in soft computing, intelligent system and applications. Soft computing represents a collection of computational techniques inheriting inspiration from evolutionary algorithms, nature inspired algorithms, bio-inspired algorithms, neural networks and fuzzy logic.
Описание: The book also presents the new algorithms and methodologies for promoting advances in common intelligent computing and control methodologies including evolutionary computation, artificial life, virtual infrastructures, fuzzy logic, artificial immune systems, neural networks and various neuro-hybrid methodologies.
Описание: This book delves into various solution paradigms such as artificial neural network, support vector machine, wavelet transforms, evolutionary computing, swarm intelligence.
Описание: Covering a range of topics, including the theory and applications of fuzzy set extensions such as intuitionistic fuzzy sets, hesitant fuzzy sets, spherical fuzzy sets, and fuzzy decision-making;
Описание: This book comprises a selection of papers from IFSA 2007 on new methods for ana- sis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, n- ral networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid intelligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very important to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, intelligent control, or other application areas. This book is intended to be a major reference for scientists and engineers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a reference for graduate courses like the f- lowing: soft computing, intelligent pattern recognition, computer vision, applied ar- ficial intelligence, and similar ones. The book is divided in to twelve main parts. Each part contains a set of papers on a common subject, so that the reader can find similar papers grouped together.
Описание: This book presents high-quality papers from the Third International Conference on Smart Computing and Informatics (SCI 2018 19), organized by the School of Computer Engineering and School of Computer Application, Kalinga Institute of Industrial Technology Deemed to be University, Bhubaneswar, from 21 to 22 December 2018.
Описание: This book gathers high-quality research papers presented at the 3rd International Conference on Advanced Computing and Intelligent Engineering (ICACIE 2018).
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