Tag: Computing

Free Download Advances in Computing and Information Technology: Proceedings of the Second International Conference on Advances in Computing and Information Technology (ACITY) July 13-15, 2012, Chennai, India – Volume 2 By Sundarapandian Vaidyanathan (auth.), Natarajan Meghanathan, Dhinaharan Nagamalai, Nabendu Chaki (eds.)
2013 | 928 Pages | ISBN: 3642315518 | PDF | 32 MB
The international conference on Advances in Computing and Information technology (ACITY 2012) provides an excellent international forum for both academics and professionals for sharing knowledge and results in theory, methodology and applications of Computer Science and Information Technology. The Second International Conference on Advances in Computing and Information technology (ACITY 2012), held in Chennai, India, during July 13-15, 2012, covered a number of topics in all major fields of Computer Science and Information Technology including: networking and communications, network security and applications, web and internet computing, ubiquitous computing, algorithms, bioinformatics, digital image processing and pattern recognition, artificial intelligence, soft computing and applications. Upon a strength review process, a number of high-quality, presenting not only innovative ideas but also a founded evaluation and a strong argumentation of the same, were selected and collected in the present proceedings, that is composed of three different volumes.

Free Download Synergies of Soft Computing and Statistics for Intelligent Data Analysis By Christian Borgelt (auth.), Rudolf Kruse, Michael R. Berthold, Christian Moewes, María Ángeles Gil, Przemysław Grzegorzewski, Olgierd Hryniewicz (eds.)
2013 | 584 Pages | ISBN: 364233041X | PDF | 11 MB
In recent years there has been a growing interest to extend classical methods for data analysis.The aim is to allow a more flexible modeling of phenomena such as uncertainty, imprecision or ignorance.Such extensions of classical probability theory and statistics are useful in many real-life situations, since uncertainties in data are not only present in the form of randomness — various types of incomplete or subjective information have to be handled.About twelve years ago the idea of strengthening the dialogue between the various research communities in the field of data analysis was born and resulted in the International Conference Series on Soft Methods in Probability and Statistics (SMPS).This book gathers contributions presented at the SMPS’2012 held in Konstanz, Germany. Its aim is to present recent results illustrating new trends in intelligent data analysis.It gives a comprehensive overview of current research into the fusion of soft computing methods with probability and statistics.Synergies of both fields might improve intelligent data analysis methods in terms of robustness to noise and applicability to larger datasets, while being able to efficiently obtain understandable solutions of real-world problems.

Free Download Intelligent Distributed Computing VI: Proceedings of the 6th International Symposium on Intelligent Distributed Computing – IDC 2012, Calabria, Italy, September 2012 By Andrea Omicini (auth.), Giancarlo Fortino, Costin Badica, Michele Malgeri, Rainer Unland (eds.)
2013 | 318 Pages | ISBN: 3642325238 | PDF | 9 MB
This book represents the combined peer-reviewed proceedings of the Sixth International Symposium on Intelligent Distributed Computing — IDC~2012, of the International Workshop on Agents for Cloud — A4C~2012 and of the Fourth International Workshop on Multi-Agent Systems Technology and Semantics — MASTS~2012. All the events were held in Calabria, Italy during September 24-26, 2012.The 37 contributions published in this book address many topics related to theory and applications of intelligent distributed computing and multi-agent systems, including: adaptive and autonomousdistributed systems, agent programming, ambient assistedliving systems, business process modeling and verification, cloudcomputing, coalition formation, decision support systems, distributed optimization and constraint satisfaction, gesture recognition, intelligent energy management in WSNs, intelligent logistics, machine learning, mobile agents, parallel and distributed computational intelligence, parallel evolutionary computing, trust metrics and security, scheduling in distributed heterogenous computing environments, semantic Web service composition, social simulation, and software agents for WSNs.

Free Download Cloud Computing With Boto3 And Aws Cli For Beginners: Efficient Solutions For Building Scalable, Secure Infrastructure And Seamless Cloud Management by Declan Ashford
English | August 27, 2024 | ISBN: N/A | ASIN: B0DFHHY76C | 345 pages | EPUB | 0.37 Mb
Ready to unlock the power of cloud computing?

Free Download Hybrid Computing: Bridging the Gap Between Traditional and Emerging Computing Paradigms
by Sam Green
English | December 20, 2024 | ASIN: B0DR5TLBFX | 121 pages | PDF | 60 Mb

Free Download Computing Intelligence in Capital Market by Asef Yelghi, Aref Yelghi, Mehmet Apan
English | April 30, 2024 | ISBN: 3031577078 | 70 pages | MOBI | 3.16 Mb
The book is divided into sections according to the content of the chapters. The first section covers AI concepts with NP and financial issues. The second section covers AI techniques in relation to Fintech issues. The remaining sections are implementation and analysis. As science and technology development and algorithms are widely used in various fields, their influence and development have increased efficiency and productivity. The introduction of algorithms in the financial field has not been an exception to this. In recent years, the growth and development of the financial system have been in sync with the growth of technology. Fintechs were born at the intersection of these two sectors. What happens through the application of computer knowledge in the financial field, or the examination of the efficiency and effectiveness of their use and the interaction and combination of these two fields has been written very infrequently in the majority of books. In Fintech, there are problems that researchers focus on such as customer support, portfolio management, trading algorithms, fraud detection, credit risk assessment, insurance, and wealth management. The mentioned problems are complex and are mapped to NP problems in the field of artificial intelligence. In the last two decades, optimization algorithms, neural networks, and deep learning have been widely applied in many scientific and engineering fields to solve the mentioned problems. The purpose of this book is to provide the reader with the most used artificial intelligence methods for scientific and engineering problems. This book is used by students, scientists, and practitioners in various fields. The chapters are self-explanatory, and the reader can read each one separately. They describe the algorithm used, the chosen problem, and the implementation. In addition, practical examples, comparisons, and experimental results are presented.

Free Download Chung Kwong Yuen, "Annual Review of Scalable Computing, Vol 4"
English | 2002 | pages: 299 | ISBN: 9810249519 | PDF | 16,1 mb
A collection of seven long articles, this book comprehensively discusses significant projects in scalable computing in various research organizations around the world. It represents the quantitative and qualitative growth of work in the area.

Free Download Quantitative Evaluation of Computing and Communication Systems: 8th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation Performance Tools ’95 By Ralf Steinmetz, Lars C. Wolf (auth.), Heinz Beilner, Falko Bause (eds.)
1995 | 422 Pages | ISBN: 354060300X | PDF | 8 MB
This book constitutes the proceedings of the 8th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation (Performance Tools ’95) and of the 8th GI/ITG Conference on Measuring, Modelling and Evaluating Computing and Communication Systems, MMB ’95, held jointly in Heidelberg, Germany in September 1995.The volume presents 26 full refereed papers selected from a total of 86 submissions, together with two invited contributions. The scope of the papers includes measurement- and model-based approaches for quantitative systems assessment, reports on theoretical and methodological progress, and novel and improved assessment techniques and their tool implementations and applications.

Free Download Intelligent Computing and Optimization
English | 2024 | ISBN: 3031508866 | 425 Pages | PDF (True) | 24 MB
This book of Springer Nature is another proof of Springer’s outstanding and greatness on the lively interface of Smart Computational Optimization, Green Infrastructure, Innovative Modeling and Deep Learning Architectures! It is a Master Piece of what our community of Academics and Experts can provide when an Interconnected Approach of Joint, Mutual and Meta Learning is supported by Holistic Operational Research and Experience of the World-Leader Springer Nature! The 7th edition of International Conference on Intelligent Computing and Optimization took place at Baitong Hotel & Resort on October 26-27, 2023, with tremendous support from the global research scholars across the planet. Objective was to celebrate "Global Research Quality with Compassion and Wisdom" with researchers, scholars, experts and investigators in Intelligent Computing and Optimization across the globe,to share knowledge, experience and innovation-a marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of the 7th ICO’2023 is published by Springer Nature-Creativity Label of Inspiration.

Free Download Hyperdimensional Computing: Bridging Mathematics, Biology, and Artificial Intelligence by Richard Aragon
English | October 15, 2024 | ISBN: N/A | ASIN: B0DK4LBC24 | 243 pages | EPUB | 2.27 Mb
In Hyperdimensional Computing: Bridging Mathematics, Biology, and Artificial Intelligence, Richard Aragon takes you on an extraordinary journey into a revolutionary computational paradigm inspired by the brain’s capacity to process information in high-dimensional spaces. This groundbreaking book offers an in-depth exploration of Hyperdimensional Computing (HDC)-an emerging field with the potential to reshape artificial intelligence, robotics, IoT, cognitive science, and beyond.