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Author: Ariel Chipman Publisher: CRC Press ISBN: 0429752490 Category : Science Languages : en Pages : 246
Book Description
The evolution of segmentation is one of the central questions in evolutionary developmental biology. Indeed, it is one of the best case studies for the role of changes in development in the evolution of body plans. Segmented body plans are believed to have appeared several times in animal evolution, and to have contributed significantly to the evolutionary success of the taxa in which they are present. Because of the centrality of the subject, and the continuing interest in understanding segmentation, this book offers an often overlooked focus on the cellular aspects of the process of segmentation, providing an invaluable reference for students of evolutionary developmental biology at all levels. Key Features Explores the role that segmentation has played in the diversity of animals Documents the diverse cellular mechanisms by which segmentation develops Reviews the independent evolutionary origins of segmentation Provides insight into the general patterns of serial homology at the cellular level Related Titles Lynne Bianchi. Developmental Neurobiology (ISBN 978-0-8153-4482-7). Jonathan Bard. Principles of Evolution: Systems, Species, and the History of Life (ISBN 978-0-8153-4539-8). Gerhard Scholtz. Evolutionary Developmental Biology of Crustacea (ISBN 978-9-0580-9637-1). Dr. Ariel D. Chipman is Associate Professor in the Department of Ecology, Evolution & Behavior of the Silberman Institute of Life Sciences at The Hebrew University of Jerusalem. He is the author or co-author of dozens of peer reviewed scientific journal articles. His research focuses upon the evolution of animal body plans with a focus on arthropod segmentation, integrating comparative embryology, the fossil record and genome evolution.
Author: Ariel Chipman Publisher: CRC Press ISBN: 0429752490 Category : Science Languages : en Pages : 246
Book Description
The evolution of segmentation is one of the central questions in evolutionary developmental biology. Indeed, it is one of the best case studies for the role of changes in development in the evolution of body plans. Segmented body plans are believed to have appeared several times in animal evolution, and to have contributed significantly to the evolutionary success of the taxa in which they are present. Because of the centrality of the subject, and the continuing interest in understanding segmentation, this book offers an often overlooked focus on the cellular aspects of the process of segmentation, providing an invaluable reference for students of evolutionary developmental biology at all levels. Key Features Explores the role that segmentation has played in the diversity of animals Documents the diverse cellular mechanisms by which segmentation develops Reviews the independent evolutionary origins of segmentation Provides insight into the general patterns of serial homology at the cellular level Related Titles Lynne Bianchi. Developmental Neurobiology (ISBN 978-0-8153-4482-7). Jonathan Bard. Principles of Evolution: Systems, Species, and the History of Life (ISBN 978-0-8153-4539-8). Gerhard Scholtz. Evolutionary Developmental Biology of Crustacea (ISBN 978-9-0580-9637-1). Dr. Ariel D. Chipman is Associate Professor in the Department of Ecology, Evolution & Behavior of the Silberman Institute of Life Sciences at The Hebrew University of Jerusalem. He is the author or co-author of dozens of peer reviewed scientific journal articles. His research focuses upon the evolution of animal body plans with a focus on arthropod segmentation, integrating comparative embryology, the fossil record and genome evolution.
Author: Taylor & Francis Group Publisher: CRC Press ISBN: 9781032242354 Category : Languages : en Pages : 314
Book Description
The evolution of segmentation is a central question in evolutionary developmental biology. Segmented body plans evolved several times in the history of life and contributed to the evolutionary success of these taxa. The book will prove an invaluable reference for students of evolutionary developmental biology at all levels.
Author: Gang Hua Publisher: Springer ISBN: 3319466046 Category : Computers Languages : en Pages : 930
Book Description
The three-volume set LNCS 9913, LNCS 9914, and LNCS 9915 comprises the refereed proceedings of the Workshops that took place in conjunction with the 14th European Conference on Computer Vision, ECCV 2016, held in Amsterdam, The Netherlands, in October 2016. 27 workshops from 44 workshops proposals were selected for inclusion in the proceedings. These address the following themes: Datasets and Performance Analysis in Early Vision; Visual Analysis of Sketches; Biological and Artificial Vision; Brave New Ideas for Motion Representations; Joint Imagenet and MS Coco Visual Recognition Challenge; Geometry Meets Deep Learning; Action and Anticipation for Visual Learning; Computer Vision for Road Scene Understanding and Autonomous Driving; Challenge on Automatic Personality Analysis; BioImage Computing; Benchmarking Multi-Target Tracking: MOTChallenge; Assistive Computer Vision and Robotics; Transferring and Adapting Source Knowledge in Computer Vision; Recovering 6D Object Pose; Robust Reading; 3D Face Alignment in the Wild and Challenge; Egocentric Perception, Interaction and Computing; Local Features: State of the Art, Open Problems and Performance Evaluation; Crowd Understanding; Video Segmentation; The Visual Object Tracking Challenge Workshop; Web-scale Vision and Social Media; Computer Vision for Audio-visual Media; Computer VISion for ART Analysis; Virtual/Augmented Reality for Visual Artificial Intelligence; Joint Workshop on Storytelling with Images and Videos and Large Scale Movie Description and Understanding Challenge.
Author: Mei Chen Publisher: Academic Press ISBN: 0128149736 Category : Computers Languages : en Pages : 230
Book Description
Are you a computer scientist working on image analysis? Are you a biologist seeking tools to process the microscopy data from image-based experiments? Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth discussion of modern computer vision techniques, in particular deep learning, for microscopy image analysis that will advance your efforts. Progress in imaging techniques has enabled the acquisition of large volumes of microscopy data and made it possible to conduct large-scale, image-based experiments for biomedical discovery. The main challenge and bottleneck in such experiments is the conversion of "big visual data" into interpretable information. Visual analysis of large-scale microscopy data is a daunting task. Computer vision has the potential to automate this task. One key advantage is that computers perform analysis more reproducibly and less subjectively than human annotators. Moreover, high-throughput microscopy calls for effective and efficient techniques as there are not enough human resources to advance science by manual annotation. This book articulates the strong need for biologists and computer vision experts to collaborate to overcome the limits of human visual perception, and devotes a chapter each to the major steps in analyzing microscopy images, such as detection and segmentation, classification, tracking, and event detection. Discover how computer vision can automate and enhance the human assessment of microscopy images for discovery Grasp the state-of-the-art approaches, especially deep neural networks Learn where to obtain open-source datasets and software to jumpstart his or her own investigation
Author: Cheng-Lin Liu Publisher: Springer ISBN: 3642335063 Category : Computers Languages : en Pages : 699
Book Description
This book constitutes the refereed proceedings of the Chinese Conference on Pattern Recognition, CCPR 2012, held in Beijing, China, in September 2012. The 82 revised full papers presented were carefully reviewed and selected from 137 submissions. The papers are organized in topical sections on pattern recognition theory; computer vision; biometric recognition; medical imaging; image and video analysis; document analysis; speech processing; natural language processing and information retrieval.
Author: Bin Xin Publisher: Springer Nature ISBN: 981997593X Category : Computers Languages : en Pages : 365
Book Description
This two-volume set constitutes the refereed proceedings of the 8th International Workshop on Advanced Computational Intelligence and Intelligent Informatics, IWACIII 2023, held in Beijing, China, in November 2023. The 56 papers presented were thoroughly reviewed and selected from the 118 qualifies submissions. They are organized in the topical sections on intelligent information processing; intelligent optimization and decision-making; pattern recognition and computer vision; advanced control; multi-agent systems; robotics.
Author: Om Prakash Jena Publisher: John Wiley & Sons ISBN: 1119818680 Category : Computers Languages : en Pages : 434
Book Description
COMPUTATIONAL INTELLIGENCE and HEALTHCARE INFORMATICS The book provides the state-of-the-art innovation, research, design, and implements methodological and algorithmic solutions to data processing problems, designing and analysing evolving trends in health informatics, intelligent disease prediction, and computer-aided diagnosis. Computational intelligence (CI) refers to the ability of computers to accomplish tasks that are normally completed by intelligent beings such as humans and animals. With the rapid advance of technology, artificial intelligence (AI) techniques are being effectively used in the fields of health to improve the efficiency of treatments, avoid the risk of false diagnoses, make therapeutic decisions, and predict the outcome in many clinical scenarios. Modern health treatments are faced with the challenge of acquiring, analyzing and applying the large amount of knowledge necessary to solve complex problems. Computational intelligence in healthcare mainly uses computer techniques to perform clinical diagnoses and suggest treatments. In the present scenario of computing, CI tools present adaptive mechanisms that permit the understanding of data in difficult and changing environments. The desired results of CI technologies profit medical fields by assembling patients with the same types of diseases or fitness problems so that healthcare facilities can provide effectual treatments. This book starts with the fundamentals of computer intelligence and the techniques and procedures associated with it. Contained in this book are state-of-the-art methods of computational intelligence and other allied techniques used in the healthcare system, as well as advances in different CI methods that will confront the problem of effective data analysis and storage faced by healthcare institutions. The objective of this book is to provide researchers with a platform encompassing state-of-the-art innovations; research and design; implementation of methodological and algorithmic solutions to data processing problems; and the design and analysis of evolving trends in health informatics, intelligent disease prediction and computer-aided diagnosis. Audience The book is of interest to artificial intelligence and biomedical scientists, researchers, engineers and students in various settings such as pharmaceutical & biotechnology companies, virtual assistants developing companies, medical imaging & diagnostics centers, wearable device designers, healthcare assistance robot manufacturers, precision medicine testers, hospital management, and researchers working in healthcare system.
Author: J. K. Mandal Publisher: Springer ISBN: 9811068909 Category : Technology & Engineering Languages : en Pages : 818
Book Description
The volume contains latest research work presented at International Conference on Computing and Communication Systems (I3CS 2016) held at North Eastern Hill University (NEHU), Shillong, India. The book presents original research results, new ideas and practical development experiences which concentrate on both theory and practices. It includes papers from all areas of information technology, computer science, electronics and communication engineering written by researchers, scientists, engineers and scholar students and experts from India and abroad.
Author: Ariel Chipman
Author: Ariel Chipman
Author: Taylor & Francis Group
Author: Gang Hua
Author: Mei Chen
Author: Cheng-Lin Liu
Author: Hiroaki Hirata
Author: Bin Xin
Author: Om Prakash Jena
Author: J. K. Mandal
Author: George Arthur Piersol