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An Introduction to Systems Biology Design Principles of Biological Circuits

An Introduction to Systems Biology Design Principles of Biological Circuits

Praise for the first edition: … superb beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. – Nature [This text deserves] serious attention from any quantitative scientist who hopes to learn about modern biology … It assumes no prior knowledge of or even interest in biology … One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. … Alon’s book should become a standard part of the training of graduate students. – Physics Today Written for students and researchers the second edition of this best-selling textbook continues to offer a clear presentation of design principles that govern the structure and behavior of biological systems. It highlights simple recurring circuit elements that make up the regulation of cells and tissues. Rigorously classroom-tested this edition includes new chapters on exciting advances made in the last decade. Features: Includes seven new chapters The new edition has 189 exercises the previous edition had 66 Offers new examples relevant to human physiology and disease The book website including course videos can be found here: https://www. weizmann. ac. il/mcb/UriAlon/introduction-systems-biology-design-principles-biological-circuits. | An Introduction to Systems Biology Design Principles of Biological Circuits

GBP 56.99
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Digital Image Processing An Algorithmic Approach with MATLAB

Digital Image Processing An Algorithmic Approach with MATLAB

Avoiding heavy mathematics and lengthy programming details Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB® without bogging down students with syntactical and debugging issues. One chapter can typically be completed per week with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice. This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website. | Digital Image Processing An Algorithmic Approach with MATLAB

GBP 69.99
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Generative Adversarial Networks and Deep Learning Theory and Applications

Generative Adversarial Networks and Deep Learning Theory and Applications

This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks which includes creating new tools and methods for processing text images and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models as they can generate the sample data as per application requirements. There are various applications of GAN in science and technology including computer vision security multimedia and advertisements image generation image translation text-to-images synthesis video synthesis generating high-resolution images drug discovery etc. Features: Presents a comprehensive guide on how to use GAN for images and videos. Includes case studies of Underwater Image Enhancement Using Generative Adversarial Network Intrusion detection using GAN Highlights the inclusion of gaming effects using deep learning methods Examines the significant technological advancements in GAN and its real-world application. Discusses as GAN challenges and optimal solutions The book addresses scientific aspects for a wider audience such as junior and senior engineering undergraduate and postgraduate students researchers and anyone interested in the trends development and opportunities in GAN and Deep Learning. The material in the book can serve as a reference in libraries accreditation agencies government agencies and especially the academic institution of higher education intending to launch or reform their engineering curriculum | Generative Adversarial Networks and Deep Learning Theory and Applications

GBP 140.00
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