Computational Vision and Bio-Inspired Computing

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Publisher : Springer Nature
ISBN 13 : 9811695733
Total Pages : 877 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2022-03-30 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Computational Vision and Bio-Inspired Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 9813368624
Total Pages : 871 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2021-06-14 with total page 871 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Computational Vision and Bio-Inspired Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 3030372189
Total Pages : 1435 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2020-01-06 with total page 1435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to process a large number of data streams by implementing new computing paradigms has been demonstrated in numerous studies incorporating computational techniques in the emerging bio-inspired models. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization, and big data modeling and management, that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems, and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Computational Vision and Bio-Inspired Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 9811998191
Total Pages : 819 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2023-04-07 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 6th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2022), held in Coimbatore, India, from November 18 to 19, 2022. This volume presents state-of-the-art research innovations in computational vision and bio-inspired techniques. It includes theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems.

New Trends in Computational Vision and Bio-inspired Computing

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Author :
Publisher : Springer Nature
ISBN 13 : 3030418626
Total Pages : 1664 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis New Trends in Computational Vision and Bio-inspired Computing by : S. Smys

Download or read book New Trends in Computational Vision and Bio-inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2020-09-27 with total page 1664 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers selected, peer-reviewed original contributions presented at the International Conference on Computational Vision and Bio-inspired Computing (ICCVBIC) conference which was held in Coimbatore, India, on November 29-30, 2018. The works included here offer a rich and diverse sampling of recent developments in the fields of Computational Vision, Fuzzy, Image Processing and Bio-inspired Computing. The topics covered include computer vision; cryptography and digital privacy; machine learning and artificial neural networks; genetic algorithms and computational intelligence; the Internet of Things; and biometric systems, to name but a few. The applications discussed range from security, healthcare and epidemic control to urban computing, agriculture and robotics. In this book, researchers, graduate students and professionals will find innovative solutions to real-world problems in industry and society as a whole, together with inspirations for further research.

Biologically Inspired Computer Vision

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 3527680497
Total Pages : 480 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Biologically Inspired Computer Vision by : Gabriel Cristobal

Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-31 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Computational Vision and Bio-Inspired Computing

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Author :
Publisher :
ISBN 13 : 9789813368637
Total Pages : 0 pages
Book Rating : 4.3/5 (686 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 4th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2020), held in Coimbatore, India, from November 19 to 20, 2020. This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. As such it contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human-computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Computational Vision and Bio Inspired Computing

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Author :
Publisher : Springer
ISBN 13 : 3319717677
Total Pages : 1143 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Computational Vision and Bio Inspired Computing by : D. Jude Hemanth

Download or read book Computational Vision and Bio Inspired Computing written by D. Jude Hemanth and published by Springer. This book was released on 2018-02-19 with total page 1143 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the proceedings of the International Conference On Computational Vision and Bio Inspired Computing (ICCVBIC 2017) held at RVS Technical Campus, September 21-22, 2017. It includes papers on state of the art innovations in bio-inspired computing applications, where new algorithms and results are produced and described. Additionally, this volume addresses evolutionary computation paradigms, artificial neural networks and biocomputing. It focuses mainly on research based on visual interference on the basis of biological images. Computation of data sources also plays a major role in routine day-to-day life for the purposes such as video transmission, wireless applications, fingerprint recognition and processing, big data intelligence, automation, human centric recognition systems. With the advantage of processing bio-inspired computations, a variety of computational paradigms can be processed. Finally, this book also treats the formation of neural networks by enabling local connectivity within it with the aid of vision sensing elements. The work also provides potential directions for future research.

Bio-inspired Neurocomputing

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Author :
Publisher : Springer Nature
ISBN 13 : 9811554951
Total Pages : 427 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Bio-inspired Neurocomputing by : Akash Kumar Bhoi

Download or read book Bio-inspired Neurocomputing written by Akash Kumar Bhoi and published by Springer Nature. This book was released on 2020-07-21 with total page 427 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques. The theoretical and practical aspects of biomedical neural computing, brain-inspired computing, bio-computational models, artificial intelligence (AI) and machine learning (ML) approaches in biomedical data analytics are covered along with their qualitative and quantitative features. The contents cover numerous computational applications, methodologies and emerging challenges in the field of bio-soft computing and bio-signal processing. The authors have taken meticulous care in describing the fundamental concepts, identifying the research gap and highlighting the problems with the strategical computational approaches to address the ongoing challenges in bio-inspired models and algorithms. Given the range of topics covered, this book can be a valuable resource for students, researchers as well as practitioners interested in the rapidly evolving field of neurocomputing and biomedical data analytics.

Bio Inspired Computing

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Author :
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 122 pages
Book Rating : 4.:/5 (661 download)

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Book Synopsis Bio Inspired Computing by : Fouad Sabry

Download or read book Bio Inspired Computing written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-06-22 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Bio Inspired Computing The subject of research known as bio-inspired computing, which is short for biologically inspired computing, is one that focuses on finding solutions to issues in computer science by employing biological models. Connectionism, emergent behavior, and emergence are all related to this concept. Within the field of computer science, artificial intelligence and machine learning are related to the concept of bio-inspired computing. The field of natural computation includes a significant subfield known as bio-inspired computing. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Bio-inspired computing Chapter 2: Connectionism Chapter 3: Evolutionary computation Chapter 4: Computational neuroscience Chapter 5: Neuromorphic engineering Chapter 6: Cognitive architecture Chapter 7: Neural network Chapter 8: Artificial brain Chapter 9: Computational neurogenetic modeling Chapter 10: Spiking neural network (II) Answering the public top questions about bio inspired computing. (III) Real world examples for the usage of bio inspired computing in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of bio inspired computing. What Is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

Bio-Inspired Computing for Image and Video Processing

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Author :
Publisher : CRC Press
ISBN 13 : 1351649833
Total Pages : 424 pages
Book Rating : 4.3/5 (516 download)

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Book Synopsis Bio-Inspired Computing for Image and Video Processing by : D. P. Acharjya

Download or read book Bio-Inspired Computing for Image and Video Processing written by D. P. Acharjya and published by CRC Press. This book was released on 2018-01-02 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years bio-inspired computational theories and tools have developed to assist people in extracting knowledge from high dimensional data. These differ in how they take a more evolutionary approach to learning, as opposed to traditional artificial intelligence (AI) and what could be described as 'creationist' methods. Instead bio-inspired computing takes a bottom-up, de-centralized approach that often involves the method of specifying a set of simple rules, a set of simple organisms which adhere to those rules, and of iteratively applying those rules. Bio-Inspired Computing for Image and Video Processing covers interesting and challenging new theories in image and video processing. It addresses the growing demand for image and video processing in diverse application areas, such as secured biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval, and more. This book is perfect for students following this topic at both undergraduate and postgraduate level. It will also prove indispensable to researchers who have an interest in image processing using bio-inspired computing.

Biologically Rationalized Computing Techniques For Image Processing Applications

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Author :
Publisher : Springer
ISBN 13 : 3319613162
Total Pages : 337 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Biologically Rationalized Computing Techniques For Image Processing Applications by : Jude Hemanth

Download or read book Biologically Rationalized Computing Techniques For Image Processing Applications written by Jude Hemanth and published by Springer. This book was released on 2017-08-15 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to innovative bio-inspired computing techniques for image processing applications. It demonstrates how a significant drawback of image processing – not providing the simultaneous benefits of high accuracy and less complexity – can be overcome, proposing bio-inspired methodologies to help do so. Besides computing techniques, the book also sheds light on the various application areas related to image processing, and weighs the pros and cons of specific methodologies. Even though several such methodologies are available, most of them do not provide the simultaneous benefits of high accuracy and less complexity, which explains their low usage in connection with practical imaging applications, such as the medical scenario. Lastly, the book illustrates the methodologies in detail, making it suitable for newcomers to the field and advanced researchers alike.

Biologically Inspired Computer Vision

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 3527680470
Total Pages : 480 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Biologically Inspired Computer Vision by : Gabriel Cristobal

Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-20 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.

Bio-Inspired Computing for Information Retrieval Applications

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Author :
Publisher : IGI Global
ISBN 13 : 1522523766
Total Pages : 388 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Bio-Inspired Computing for Information Retrieval Applications by : Acharjya, D.P.

Download or read book Bio-Inspired Computing for Information Retrieval Applications written by Acharjya, D.P. and published by IGI Global. This book was released on 2017-02-14 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Probabilistic and Biologically Inspired Feature Representations

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Author :
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1681730243
Total Pages : 105 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis Probabilistic and Biologically Inspired Feature Representations by : Michael Felsberg

Download or read book Probabilistic and Biologically Inspired Feature Representations written by Michael Felsberg and published by Morgan & Claypool Publishers. This book was released on 2018-05-29 with total page 105 pages. Available in PDF, EPUB and Kindle. Book excerpt: Under the title "Probabilistic and Biologically Inspired Feature Representations," this text collects a substantial amount of work on the topic of channel representations. Channel representations are a biologically motivated, wavelet-like approach to visual feature descriptors: they are local and compact, they form a computational framework, and the represented information can be reconstructed. The first property is shared with many histogram- and signature-based descriptors, the latter property with the related concept of population codes. In their unique combination of properties, channel representations become a visual Swiss army knife—they can be used for image enhancement, visual object tracking, as 2D and 3D descriptors, and for pose estimation. In the chapters of this text, the framework of channel representations will be introduced and its attributes will be elaborated, as well as further insight into its probabilistic modeling and algorithmic implementation will be given. Channel representations are a useful toolbox to represent visual information for machine learning, as they establish a generic way to compute popular descriptors such as HOG, SIFT, and SHOT. Even in an age of deep learning, they provide a good compromise between hand-designed descriptors and a-priori structureless feature spaces as seen in the layers of deep networks.

Bio-Inspired Computing: Theories and Applications

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Author :
Publisher : Springer Nature
ISBN 13 : 981191253X
Total Pages : 448 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Bio-Inspired Computing: Theories and Applications by : Linqiang Pan

Download or read book Bio-Inspired Computing: Theories and Applications written by Linqiang Pan and published by Springer Nature. This book was released on 2022-03-23 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This two-volume set (CCIS 1565 and CCIS 1566) constitutes selected and revised papers from the 16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021, held in Taiyuan, China, in December 2021. The 67 papers presented were thoroughly reviewed and selected from 211 submissions. The papers are organized in the following topical sections: ​evolutionary computation and swarm intelligence; DNA and molecular computing; ​machine learning and computer vision.

Bio-inspired Computing Machines

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Author :
Publisher : EPFL Press
ISBN 13 : 9782880743710
Total Pages : 388 pages
Book Rating : 4.7/5 (437 download)

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Book Synopsis Bio-inspired Computing Machines by : Daniel Mange

Download or read book Bio-inspired Computing Machines written by Daniel Mange and published by EPFL Press. This book was released on 1998-01-01 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: