Artificial Intelligence And Multimedia Data Engineering

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Artificial Intelligence and Multimedia Data Engineering

Author : Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran
Publisher : Bentham Science Publishers
ISBN 13 : 9815196456
Total Pages : 134 pages
Book Rating : 4.8/5 (151 download)

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Book Synopsis Artificial Intelligence and Multimedia Data Engineering by : Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran

Download or read book Artificial Intelligence and Multimedia Data Engineering written by Suman Kumar Swarnkar, Sapna Singh Kshatri, Virendra Kumar Swarnkar, Tien Anh Tran and published by Bentham Science Publishers. This book was released on 2023-12-15 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains different applications of supervised and unsupervised data engineering for working with multimedia objects. Throughout this book, the contributors highlight the use of Artificial Intelligence-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, automation in vehicle manufacturing, data science and automation in electronics industries. The book presents seven chapters which present use-cases for AI engineering that can be applied in many fields. The book concludes with a final chapter that summarizes emerging AI trends in intelligent and interactive multimedia systems. Key features: - A concise yet diverse range of AI applications for multimedia data engineering - Covers both supervised and unsupervised machine learning techniques - Summarizes emerging AI trends in data engineering - Simple structured chapters for quick reference and easy understanding - References for advanced readers This book is a primary reference for data science and engineering students, researchers and academicians who need a quick and practical understanding of AI supplications in multimedia analysis for undertaking or designing courses. It also serves as a secondary reference for IT and AI engineers and enthusiasts who want to grasp advanced applications of the basic machine learning techniques in everyday applications

Supervised and Unsupervised Data Engineering for Multimedia Data

Author : Suman Kumar Swarnkar
Publisher : John Wiley & Sons
ISBN 13 : 1119786347
Total Pages : 340 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Supervised and Unsupervised Data Engineering for Multimedia Data by : Suman Kumar Swarnkar

Download or read book Supervised and Unsupervised Data Engineering for Multimedia Data written by Suman Kumar Swarnkar and published by John Wiley & Sons. This book was released on 2024-05-07 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you’re a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age.

Multimedia Data Processing and Computing

Author : Suman Kumar Swarnkar
Publisher : CRC Press
ISBN 13 : 1000996492
Total Pages : 197 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Multimedia Data Processing and Computing by : Suman Kumar Swarnkar

Download or read book Multimedia Data Processing and Computing written by Suman Kumar Swarnkar and published by CRC Press. This book was released on 2023-11-28 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on different applications of multimedia with supervised and unsupervised data engineering in the modern world. It includes AI-based soft computing and machine techniques in the field of medical diagnosis, biometrics, networking, manufacturing, data science, automation in electronics industries, and many more relevant fields. Multimedia Data Processing and Computing provides a complete introduction to machine learning concepts, as well as practical guidance on how to use machine learning tools and techniques in real-world data engineering situations. It is divided into three sections. In this book on multimedia data engineering and machine learning, the reader will learn how to prepare inputs, interpret outputs, appraise discoveries, and employ algorithmic strategies that are at the heart of successful data mining. The chapters focus on the use of various machine learning algorithms, neural net- work algorithms, evolutionary techniques, fuzzy logic techniques, and deep learning techniques through projects, so that the reader can easily understand not only the concept of different algorithms but also the real-world implementation of the algorithms using IoT devices. The authors bring together concepts, ideas, paradigms, tools, methodologies, and strategies that span both supervised and unsupervised engineering, with a particular emphasis on multimedia data engineering. The authors also emphasize the need for developing a foundation of machine learning expertise in order to deal with a variety of real-world case studies in a variety of sectors such as biological communication systems, healthcare, security, finance, and economics, among others. Finally, the book also presents real-world case studies from machine learning ecosystems to demonstrate the necessary machine learning skills to become a successful practitioner. The primary users for the book include undergraduate and postgraduate students, researchers, academicians, specialists, and practitioners in computer science and engineering.

Advances in Artificial Intelligence and Data Engineering

Author : Niranjan N. Chiplunkar
Publisher : Springer Nature
ISBN 13 : 9811535140
Total Pages : 1456 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Advances in Artificial Intelligence and Data Engineering by : Niranjan N. Chiplunkar

Download or read book Advances in Artificial Intelligence and Data Engineering written by Niranjan N. Chiplunkar and published by Springer Nature. This book was released on 2020-08-13 with total page 1456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected peer-reviewed papers from the International Conference on Artificial Intelligence and Data Engineering (AIDE 2019). The topics covered are broadly divided into four groups: artificial intelligence, machine vision and robotics, ambient intelligence, and data engineering. The book discusses recent technological advances in the emerging fields of artificial intelligence, machine learning, robotics, virtual reality, augmented reality, bioinformatics, intelligent systems, cognitive systems, computational intelligence, neural networks, evolutionary computation, speech processing, Internet of Things, big data challenges, data mining, information retrieval, and natural language processing. Given its scope, this book can be useful for students, researchers, and professionals interested in the growing applications of artificial intelligence and data engineering.

Recent Advances in Artificial Intelligence and Data Engineering

Author : Pushparaj Shetty D.
Publisher : Springer Nature
ISBN 13 : 9811633428
Total Pages : 454 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Recent Advances in Artificial Intelligence and Data Engineering by : Pushparaj Shetty D.

Download or read book Recent Advances in Artificial Intelligence and Data Engineering written by Pushparaj Shetty D. and published by Springer Nature. This book was released on 2021-10-31 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents select proceedings of the International Conference on Artificial Intelligence and Data Engineering (AIDE 2020). Various topics covered in this book include deep learning, neural networks, machine learning, computational intelligence, cognitive computing, fuzzy logic, expert systems, brain-machine interfaces, ant colony optimization, natural language processing, bioinformatics and computational biology, cloud computing, machine vision and robotics, ambient intelligence, intelligent transportation, sensing and sensor networks, big data challenge, data science, high performance computing, data mining and knowledge discovery, and data privacy and security. The book will be a valuable reference for beginners, researchers, and professionals interested in artificial intelligence, robotics and data engineering.

Supervised and Unsupervised Data Engineering for Multimedia Data

Author : Suman Kumar Swarnkar
Publisher : John Wiley & Sons
ISBN 13 : 1119786428
Total Pages : 251 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Supervised and Unsupervised Data Engineering for Multimedia Data by : Suman Kumar Swarnkar

Download or read book Supervised and Unsupervised Data Engineering for Multimedia Data written by Suman Kumar Swarnkar and published by John Wiley & Sons. This book was released on 2024-04-02 with total page 251 pages. Available in PDF, EPUB and Kindle. Book excerpt: SUPERVISED and UNSUPERVISED DATA ENGINEERING for MULTIMEDIA DATA Explore the cutting-edge realms of data engineering in multimedia with Supervised and Unsupervised Data Engineering for Multimedia Data, where expert contributors delve into innovative methodologies, offering invaluable insights to empower both novices and seasoned professionals in mastering the art of manipulating multimedia data with precision and efficiency. Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies. The book seamlessly integrates theoretical foundations with practical applications, offering a cohesive framework for navigating the complexities of multimedia data. Readers will delve into a spectrum of topics, including artificial intelligence, machine learning, and data analysis, all tailored to the challenges and opportunities presented by multimedia datasets. From foundational principles to advanced techniques, each chapter provides valuable insights, making this book an essential guide for academia and industry professionals alike. Whether you’re a seasoned practitioner or a newcomer to the field, Supervised and Unsupervised Data Engineering for Multimedia Data illuminates the path toward mastery in manipulating and extracting meaningful insights from multimedia data in the modern age.

Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications

Author : Arun Kumar Sangaiah
Publisher : Academic Press
ISBN 13 : 0128133279
Total Pages : 362 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications by : Arun Kumar Sangaiah

Download or read book Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications written by Arun Kumar Sangaiah and published by Academic Press. This book was released on 2018-08-21 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence for Multimedia Big Data on the Cloud with Engineering Applications covers timely topics, including the neural network (NN), particle swarm optimization (PSO), evolutionary algorithm (GA), fuzzy sets (FS) and rough sets (RS), etc. Furthermore, the book highlights recent research on representative techniques to elaborate how a data-centric system formed a powerful platform for the processing of cloud hosted multimedia big data and how it could be analyzed, processed and characterized by CI. The book also provides a view on how techniques in CI can offer solutions in modeling, relationship pattern recognition, clustering and other problems in bioengineering. It is written for domain experts and developers who want to understand and explore the application of computational intelligence aspects (opportunities and challenges) for design and development of a data-centric system in the context of multimedia cloud, big data era and its related applications, such as smarter healthcare, homeland security, traffic control trading analysis and telecom, etc. Researchers and PhD students exploring the significance of data centric systems in the next paradigm of computing will find this book extremely useful. Presents a brief overview of computational intelligence paradigms and its significant role in application domains Illustrates the state-of-the-art and recent developments in the new theories and applications of CI approaches Familiarizes the reader with computational intelligence concepts and technologies that are successfully used in the implementation of cloud-centric multimedia services in massive data processing Provides new advances in the fields of CI for bio-engineering application

Intelligent Data Engineering and Automated Learning – IDEAL 2020

Author : Cesar Analide
Publisher : Springer Nature
ISBN 13 : 3030623653
Total Pages : 633 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning – IDEAL 2020 by : Cesar Analide

Download or read book Intelligent Data Engineering and Automated Learning – IDEAL 2020 written by Cesar Analide and published by Springer Nature. This book was released on 2020-10-29 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set of LNCS 12489 and 12490 constitutes the thoroughly refereed conference proceedings of the 21th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2020, held in Guimaraes, Portugal, in November 2020.* The 93 papers presented were carefully reviewed and selected from 134 submissions. These papers provided a timely sample of the latest advances in data engineering and machine learning, from methodologies, frameworks, and algorithms to applications. The core themes of IDEAL 2020 include big data challenges, machine learning, data mining, information retrieval and management, bio-/neuro-informatics, bio-inspiredmodels, agents and hybrid intelligent systems, real-world applications of intelligent techniques and AI. * The conference was held virtually due to the COVID-19 pandemic.

Intelligent Innovations in Multimedia Data Engineering and Management

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
ISBN 13 : 1522571086
Total Pages : 316 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Intelligent Innovations in Multimedia Data Engineering and Management by : Bhattacharyya, Siddhartha

Download or read book Intelligent Innovations in Multimedia Data Engineering and Management written by Bhattacharyya, Siddhartha and published by IGI Global. This book was released on 2018-09-07 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are investing great effort to discover new space-efficient methods for storage and archiving of this data. Intelligent Innovations in Multimedia Data Engineering and Management provides emerging research exploring the theoretical and practical aspects of storage systems and computing methods for large forms of data. Featuring coverage on a broad range of topics such as binary image, fuzzy logic, and metaheuristic algorithms, this book is ideally designed for computer engineers, IT professionals, technology developers, academicians, and researchers seeking current research on advancing strategies and computing techniques for various types of data.

Intelligent Data Engineering and Automated Learning

Author : Jiming Liu
Publisher : Springer Science & Business Media
ISBN 13 : 354040550X
Total Pages : 1161 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Intelligent Data Engineering and Automated Learning by : Jiming Liu

Download or read book Intelligent Data Engineering and Automated Learning written by Jiming Liu and published by Springer Science & Business Media. This book was released on 2003-07-29 with total page 1161 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the throughly refereed post-proceedings of the 4th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2003, held in Hong Kong, China in March 2003. The 164 revised papers presented were carefully reviewed and selected from 321 submissions; for inclusion in this post-proceedings another round of revision was imposed. The papers are organized in topical sections an agents, automated learning, bioinformatics, data mining, multimedia information, and financial engineering.

Artificial Intelligence for Multimedia Information Processing

Author : Xavier Savarimuthu
Publisher : CRC Press
ISBN 13 : 1040037321
Total Pages : 343 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Artificial Intelligence for Multimedia Information Processing by : Xavier Savarimuthu

Download or read book Artificial Intelligence for Multimedia Information Processing written by Xavier Savarimuthu and published by CRC Press. This book was released on 2024-06-14 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in artificial intelligence (AI), widespread mobile devices, internet technologies, multimedia data sources, and information processing have led to the emergence of multimedia processing. Multimedia processing is the application of signal processing tools to multimedia data—text, audio, images, and video—to allow the interpretation of these data, particularly in urban and smart city environments. This book discusses the new standards of multimedia and information processing from several technological perspectives, including analytics empowered by AI, streaming on the intelligent edge, multimedia edge caching and AI, services for edge AI, and hardware and devices for multimedia on edge intelligence. FEATURES Covers a wide spectrum of enabling technologies for AI and machine learning for multimedia and information processing Includes many applications using AI, from robotics and driverless cars to environmental, human health, and remote sensing Presents an overview of the fundamentals of AI and multimedia processing: imaging, signal, and speech Explains new models and architectures for multimedia streaming, services, and caching for AI Discusses the emerging paradigms of the deployment of hardware and devices for multimedia on edge intelligence Gives recommendations for future research in multimedia and AI This book is written for engineers and graduate students in image and signal processing, information processing, environmental engineering, medical and public health, etc., who are interested in machine learning, deep learning, and multimedia processing.

Machine Learning and Computational Intelligence Techniques for Data Engineering

Author : Pradeep Singh
Publisher : Springer Nature
ISBN 13 : 9819900476
Total Pages : 885 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Machine Learning and Computational Intelligence Techniques for Data Engineering by : Pradeep Singh

Download or read book Machine Learning and Computational Intelligence Techniques for Data Engineering written by Pradeep Singh and published by Springer Nature. This book was released on 2023-05-15 with total page 885 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

Recent Progress in Data Engineering and Internet Technology

Author : Ford Lumban Gaol
Publisher : Springer Science & Business Media
ISBN 13 : 3642288073
Total Pages : 501 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Recent Progress in Data Engineering and Internet Technology by : Ford Lumban Gaol

Download or read book Recent Progress in Data Engineering and Internet Technology written by Ford Lumban Gaol and published by Springer Science & Business Media. This book was released on 2012-08-13 with total page 501 pages. Available in PDF, EPUB and Kindle. Book excerpt: The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical. Internet technology and data engineering should reinforce efficiency and effectiveness of business processes. These technologies should help people make better and more accurate decisions by presenting necessary information and possible consequences for the decisions. Intelligent information systems should help us better understand and manage information with ubiquitous data repository and cloud computing. This book is a compilation of some recent research findings in Internet Technology and Data Engineering. This book provides state-of-the-art accounts in computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.

Multimedia Data Engineering Applications and Processing

Author : Chen, Shu-Ching
Publisher : IGI Global
ISBN 13 : 146662941X
Total Pages : 350 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Multimedia Data Engineering Applications and Processing by : Chen, Shu-Ching

Download or read book Multimedia Data Engineering Applications and Processing written by Chen, Shu-Ching and published by IGI Global. This book was released on 2013-02-28 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: With a variety of media types, multimedia data engineering has emerged as a new opportunity to create techniques and tools that empower the development of the next generation of multimedia databases and information systems. Multimedia Data Engineering Applications and Processing presents different aspects of multimedia data engineering and management research. This collection of recent theories, technologies and algorithms brings together a detailed understanding of multimedia engineering and its applications. This reference source will be of essential use for researchers, scientists, professionals and software engineers in the field of multimedia.

Industrial Machine Learning

Author : Andreas François Vermeulen
Publisher : Apress
ISBN 13 : 1484253167
Total Pages : 652 pages
Book Rating : 4.4/5 (842 download)

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Book Synopsis Industrial Machine Learning by : Andreas François Vermeulen

Download or read book Industrial Machine Learning written by Andreas François Vermeulen and published by Apress. This book was released on 2019-11-30 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand the industrialization of machine learning (ML) and take the first steps toward identifying and generating the transformational disruptors of artificial intelligence (AI). You will learn to apply ML to data lakes in various industries, supplying data professionals with the advanced skills required to handle the future of data engineering and data science. Data lakes currently generated by worldwide industrialized business activities are projected to reach 35 zettabytes (ZB) as the Fourth Industrial Revolution produces an exponential increase of volume, velocity, variety, variability, veracity, visualization, and value. Industrialization of ML evolves from AI and studying pattern recognition against the increasingly unstructured resource stored in data lakes. Industrial Machine Learning supplies advanced, yet practical examples in different industries, including finance, public safety, health care, transportation, manufactory, supply chain, 3D printing, education, research, and data science. The book covers: supervised learning, unsupervised learning, reinforcement learning, evolutionary computing principles, soft robotics disruptors, and hard robotics disruptors. What You Will Learn Generate and identify transformational disruptors of artificial intelligence (AI) Understand the field of machine learning (ML) and apply it to handle big data and process the data lakes in your environment Hone the skills required to handle the future of data engineering and data science Who This Book Is For Intermediate to expert level professionals in the fields of data science, data engineering, machine learning, and data management

Trends in Data Engineering Methods for Intelligent Systems

Author : Jude Hemanth
Publisher : Springer Nature
ISBN 13 : 3030793575
Total Pages : 797 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Trends in Data Engineering Methods for Intelligent Systems by : Jude Hemanth

Download or read book Trends in Data Engineering Methods for Intelligent Systems written by Jude Hemanth and published by Springer Nature. This book was released on 2021-07-05 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book briefly covers internationally contributed chapters with artificial intelligence and applied mathematics-oriented background-details. Nowadays, the world is under attack of intelligent systems covering all fields to make them practical and meaningful for humans. In this sense, this edited book provides the most recent research on use of engineering capabilities for developing intelligent systems. The chapters are a collection from the works presented at the 2nd International Conference on Artificial Intelligence and Applied Mathematics in Engineering held within 09-10-11 October 2020 at the Antalya, Manavgat (Turkey). The target audience of the book covers scientists, experts, M.Sc. and Ph.D. students, post-docs, and anyone interested in intelligent systems and their usage in different problem domains. The book is suitable to be used as a reference work in the courses associated with artificial intelligence and applied mathematics.

Intelligent Multimedia Data Analysis

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110552078
Total Pages : 196 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Intelligent Multimedia Data Analysis by : Siddhartha Bhattacharyya

Download or read book Intelligent Multimedia Data Analysis written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-02-19 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information. Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.