Handbook Of Research On Computational Intelligence Applications In Bioinformatics

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Handbook of Research on Computational Intelligence Applications in Bioinformatics

Author : Dash, Sujata,Subudhi, Bidyadhar
Publisher : IGI Global
Page : 514 pages
File Size : 42,8 Mb
Release : 2016-06-20
Category : Computers
ISBN : 9781522504283

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Handbook of Research on Computational Intelligence Applications in Bioinformatics by Dash, Sujata,Subudhi, Bidyadhar Pdf

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the multitudes of data within these areas, new computational techniques and tools are being employed to assist researchers in their findings. The Handbook of Research on Computational Intelligence Applications in Bioinformatics examines emergent research in handling real-world problems through the application of various computation technologies and techniques. Featuring theoretical concepts and best practices in the areas of computational intelligence, artificial intelligence, big data, and bio-inspired computing, this publication is a critical reference source for graduate students, professionals, academics, and researchers.

Computational Intelligence and Big Data Analytics

Author : Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush
Publisher : Springer
Page : 137 pages
File Size : 53,5 Mb
Release : 2018-09-08
Category : Technology & Engineering
ISBN : 9789811305443

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Computational Intelligence and Big Data Analytics by Ch. Satyanarayana,Kunjam Nageswara Rao,Richard G. Bush Pdf

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature. It comprises chapters on computational intelligence technologies, such as neural networks and learning algorithms, evolutionary computation, fuzzy systems and other emerging techniques in data science and big data, ranging from methodologies, theory and algorithms for handling big data, to their applications in bioinformatics and related disciplines. The book describes the latest solutions, scientific results and methods in solving intriguing problems in the fields of big data analytics, intelligent agents and computational intelligence. It reflects the state of the art research in the field and novel applications of new processing techniques in computer science. This book is useful to both doctoral students and researchers from computer science and engineering fields and bioinformatics related domains.

Computational Intelligence in Biomedicine and Bioinformatics

Author : Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien
Publisher : Springer
Page : 432 pages
File Size : 54,7 Mb
Release : 2009-01-29
Category : Technology & Engineering
ISBN : 9783540707783

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Computational Intelligence in Biomedicine and Bioinformatics by Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien Pdf

The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.

Applications of Computational Intelligence in Multi-Disciplinary Research

Author : Ahmed A. Elngar,Rajdeep Chowdhury,Mohamed Elhoseny,Valentina Emilia Balas
Publisher : Academic Press
Page : 222 pages
File Size : 44,7 Mb
Release : 2022-02-14
Category : Science
ISBN : 9780128241769

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Applications of Computational Intelligence in Multi-Disciplinary Research by Ahmed A. Elngar,Rajdeep Chowdhury,Mohamed Elhoseny,Valentina Emilia Balas Pdf

Applications of Computational Intelligence in Multi-Disciplinary Research provides the readers with a comprehensive handbook for applying the powerful principles, concepts, and algorithms of computational intelligence to a wide spectrum of research cases. The book covers the main approaches used in computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods, all of which can be collectively viewed as soft computing. Other key approaches included are swarm intelligence and artificial immune systems. These approaches provide researchers with powerful tools for analysis and problem-solving when data is incomplete and when the problem under consideration is too complex for standard mathematics and the crisp logic approach of Boolean computing. Provides an overview of the key methods of computational intelligence, including fuzzy logic, neural networks, evolutionary computation, learning theory, and probabilistic methods Includes case studies and real-world examples of computational intelligence applied in a variety of research topics, including bioinformatics, biomedical engineering, big data analytics, information security, signal processing, machine learning, nanotechnology, and optimization techniques Presents a thorough technical explanation on how computational intelligence is applied that is suitable for a wide range of multidisciplinary and interdisciplinary research

Computational Intelligence in Bioinformatics

Author : Gary B. Fogel,David W. Corne,Yi Pan
Publisher : John Wiley & Sons
Page : 377 pages
File Size : 45,8 Mb
Release : 2007-12-10
Category : Computers
ISBN : 9780470199084

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Computational Intelligence in Bioinformatics by Gary B. Fogel,David W. Corne,Yi Pan Pdf

Combining biology, computer science, mathematics, and statistics, the field of bioinformatics has become a hot new discipline with profound impacts on all aspects of biology and industrial application. Now, Computational Intelligence in Bioinformatics offers an introduction to the topic, covering the most relevant and popular CI methods, while also encouraging the implementation of these methods to readers' research.

Computational Intelligence in Biomedicine and Bioinformatics

Author : Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien
Publisher : Springer
Page : 432 pages
File Size : 48,6 Mb
Release : 2009-08-29
Category : Mathematics
ISBN : 3540866949

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Computational Intelligence in Biomedicine and Bioinformatics by Tomasz G. Smolinski,Mariofanna G. Milanova,Aboul-Ella Hassanien Pdf

The purpose of this book is to provide an overview of state-of-the-art methodologies currently utilized for biomedicine and/or bioinformatics-oriented applications. Researchers working in these fields will learn new methods to help tackle their problems.

Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications

Author : Bhattacharyya, Siddhartha
Publisher : IGI Global
Page : 654 pages
File Size : 51,7 Mb
Release : 2015-11-03
Category : Computers
ISBN : 9781466694750

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Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications by Bhattacharyya, Siddhartha Pdf

Conventional computational methods, and even the latest soft computing paradigms, often fall short in their ability to offer solutions to many real-world problems due to uncertainty, imprecision, and circumstantial data. Hybrid intelligent computing is a paradigm that addresses these issues to a considerable extent. The Handbook of Research on Advanced Hybrid Intelligent Techniques and Applications highlights the latest research on various issues relating to the hybridization of artificial intelligence, practical applications, and best methods for implementation. Focusing on key interdisciplinary computational intelligence research dealing with soft computing techniques, pattern mining, data analysis, and computer vision, this book is relevant to the research needs of academics, IT specialists, and graduate-level students.

Computational Intelligence and Data Sciences

Author : Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood
Publisher : CRC Press
Page : 272 pages
File Size : 51,7 Mb
Release : 2022-03-11
Category : Computers
ISBN : 9781000541755

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Computational Intelligence and Data Sciences by Ayodeji Olalekan Salau,Shruti Jain,Meenakshi Sood Pdf

This book presents futuristic trends in computational intelligence including algorithms as applicable to different application domains in health informatics covering bio-medical, bioinformatics, and biological sciences. Latest evolutionary approaches to solve optimization problems under biomedical engineering field are discussed. It provides conceptual framework with a focus on application of computational intelligence techniques in the domain of biomedical engineering and health informatics including real-time issues.

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare

Author : Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das
Publisher : Academic Press
Page : 398 pages
File Size : 54,7 Mb
Release : 2021-04-08
Category : Science
ISBN : 9780128222614

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Handbook of Computational Intelligence in Biomedical Engineering and Healthcare by Janmenjoy Nayak,Bighnaraj Naik,Danilo Pelusi,Asit Kumar Das Pdf

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques. Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/unstructured data on experimental analysis. Presents a comprehensive handbook that covers an Introduction to Computational Intelligence in Biomedical Engineering and Healthcare, Computational Intelligence Techniques, and Advanced and Emerging Techniques in Computational Intelligence Helps readers analyze and do advanced research in specialty healthcare applications Includes links to websites, videos, articles and other online content to expand and support primary learning objectives

Unique Sequence Signatures in Plant Lipolytic Enzymes: Emerging Research and Opportunities

Author : Ben Halima, Nihed
Publisher : IGI Global
Page : 197 pages
File Size : 47,7 Mb
Release : 2018-12-04
Category : Technology & Engineering
ISBN : 9781522574835

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Unique Sequence Signatures in Plant Lipolytic Enzymes: Emerging Research and Opportunities by Ben Halima, Nihed Pdf

Lipids are biomolecules that constitute a significant amount of biomass in the earth, and plant lipids are rapidly growing in interest due to their roles in improving food technology, medicine, nutrition, and biotechnology. With recent advances in protein chemistry, biochemistry, and enzymology promoting research on lipolytic enzymes, it is important for research to address the mechanisms of such enzymes and their diverse functions. Unique Sequence Signatures in Plant Lipolytic Enzymes: Emerging Research and Opportunities provides innovative insights into the biochemistry of plant lipases and phospholipases as well as their structures and catalytic mechanisms. The book explores the conserved domains and motifs of plant lipolytic enzymes by identifying the main residues involved in the catalysis in the enzymes and the phylogeny of important plant lipolytic enzymes, as well as calculating the evolutionary distance in those enzymes. Organized into six chapters, it is a vital reference source for researchers, chemists, biologists, academicians, practitioners, medical professionals, engineers, and graduate students.

Handbook of Granular Computing

Author : Witold Pedrycz,Andrzej Skowron,Vladik Kreinovich
Publisher : John Wiley & Sons
Page : 1148 pages
File Size : 47,8 Mb
Release : 2008-07-31
Category : Technology & Engineering
ISBN : 9780470724156

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Handbook of Granular Computing by Witold Pedrycz,Andrzej Skowron,Vladik Kreinovich Pdf

Although the notion is a relatively recent one, the notions and principles of Granular Computing (GrC) have appeared in a different guise in many related fields including granularity in Artificial Intelligence, interval computing, cluster analysis, quotient space theory and many others. Recent years have witnessed a renewed and expanding interest in the topic as it begins to play a key role in bioinformatics, e-commerce, machine learning, security, data mining and wireless mobile computing when it comes to the issues of effectiveness, robustness and uncertainty. The Handbook of Granular Computing offers a comprehensive reference source for the granular computing community, edited by and with contributions from leading experts in the field. Includes chapters covering the foundations of granular computing, interval analysis and fuzzy set theory; hybrid methods and models of granular computing; and applications and case studies. Divided into 5 sections: Preliminaries, Fundamentals, Methodology and Algorithms, Development of Hybrid Models and Applications and Case Studies. Presents the flow of ideas in a systematic, well-organized manner, starting with the concepts and motivation and proceeding to detailed design that materializes in specific algorithms, applications and case studies. Provides the reader with a self-contained reference that includes all pre-requisite knowledge, augmented with step-by-step explanations of more advanced concepts. The Handbook of Granular Computing represents a significant and valuable contribution to the literature and will appeal to a broad audience including researchers, students and practitioners in the fields of Computational Intelligence, pattern recognition, fuzzy sets and neural networks, system modelling, operations research and bioinformatics.

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference

Author : Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón
Publisher : Springer
Page : 184 pages
File Size : 41,5 Mb
Release : 2019-06-21
Category : Technology & Engineering
ISBN : 9783030238735

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Practical Applications of Computational Biology and Bioinformatics, 13th International Conference by Florentino Fdez-Riverola,Miguel Rocha,Mohd Saberi Mohamad,Nazar Zaki,José A. Castellanos-Garzón Pdf

This book features 21 papers spanning many different sub-fields in bioinformatics and computational biology, presenting the latest research on the practical applications to promote fruitful interactions between young researchers in different areas related to the field. Next-generation sequencing technologies, together with other emerging and diverse experimental techniques, are evolving rapidly, creating numerous types of omics data. These, in turn, are creating new challenges for the expanding fields of bioinformatics and computational biology, which seek to analyse, process, integrate and extract meaningful knowledge from such data. This calls for new algorithms and approaches from fields such as databases, statistics, data mining, machine learning, optimization, computer science, machine learning and artificial intelligence. Clearly, biology is increasingly becoming a science of information, requiring tools from the computational sciences. To address these challenges, we have seen the emergence of a new generation of interdisciplinary scientists with a strong background in the biological and computational sciences. In this context, the interaction of researchers from different scientific areas is, more than ever, vital to boost the research efforts in the field and contribute to the training of the new generation of interdisciplinary scientists.

Artificial Intelligence in Bioinformatics

Author : Mario Cannataro,Pietro Hiram Guzzi,Giuseppe Agapito,Chiara Zucco,Marianna Milano
Publisher : Elsevier
Page : 270 pages
File Size : 45,9 Mb
Release : 2022-05-12
Category : Computers
ISBN : 9780128229293

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Artificial Intelligence in Bioinformatics by Mario Cannataro,Pietro Hiram Guzzi,Giuseppe Agapito,Chiara Zucco,Marianna Milano Pdf

Artificial Intelligence in Bioinformatics: From Omics Analysis to Deep Learning and Network Mining reviews the main applications of the topic, from omics analysis to deep learning and network mining. The book includes a rigorous introduction on bioinformatics, also reviewing how methods are incorporated in tasks and processes. In addition, it presents methods and theory, including content for emergent fields such as Sentiment Analysis and Network Alignment. Other sections survey how Artificial Intelligence is exploited in bioinformatics applications, including sequence analysis, structure analysis, functional analysis, protein classification, omics analysis, biomarker discovery, integrative bioinformatics, protein interaction analysis, metabolic networks analysis, and much more. Bridges the gap between computer science and bioinformatics, combining an introduction to Artificial Intelligence methods with a systematic review of its applications in the life sciences Brings readers up-to-speed on current trends and methods in a dynamic and growing field Provides academic teachers with a complete resource, covering fundamental concepts as well as applications

Applications of Computational Intelligence

Author : Alvaro David Orjuela-Cañón,Jesus Lopez,Julian David Arias-Londoño,Juan Carlos Figueroa-García
Publisher : Springer Nature
Page : 139 pages
File Size : 51,6 Mb
Release : 2023-03-30
Category : Computers
ISBN : 9783031297830

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Applications of Computational Intelligence by Alvaro David Orjuela-Cañón,Jesus Lopez,Julian David Arias-Londoño,Juan Carlos Figueroa-García Pdf

​This book constitutes the refereed proceedings of the 5th IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022, held in Cali, Colombia during July 27–29, 2022. The 7 extended papers included in this book were carefully reviewed and selected from 38 submissions. They were organized in topical sections as follows: ​Design of a segmentation and classification system for seed detection based on pixel intensity thresholds and convolutional neural networks.

Advanced AI Techniques and Applications in Bioinformatics

Author : Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi
Publisher : CRC Press
Page : 220 pages
File Size : 42,5 Mb
Release : 2021-10-17
Category : Technology & Engineering
ISBN : 9781000463019

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Advanced AI Techniques and Applications in Bioinformatics by Loveleen Gaur,Arun Solanki,Samuel Fosso Wamba,Noor Zaman Jhanjhi Pdf

The advanced AI techniques are essential for resolving various problematic aspects emerging in the field of bioinformatics. This book covers the recent approaches in artificial intelligence and machine learning methods and their applications in Genome and Gene editing, cancer drug discovery classification, and the protein folding algorithms among others. Deep learning, which is widely used in image processing, is also applicable in bioinformatics as one of the most popular artificial intelligence approaches. The wide range of applications discussed in this book are an indispensable resource for computer scientists, engineers, biologists, mathematicians, physicians, and medical informaticists. Features: Focusses on the cross-disciplinary relation between computer science and biology and the role of machine learning methods in resolving complex problems in bioinformatics Provides a comprehensive and balanced blend of topics and applications using various advanced algorithms Presents cutting-edge research methodologies in the area of AI methods when applied to bioinformatics and innovative solutions Discusses the AI/ML techniques, their use, and their potential for use in common and future bioinformatics applications Includes recent achievements in AI and bioinformatics contributed by a global team of researchers