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Books > Computing & IT > General theory of computing > Data structures

Multiagent Systems - Introduction and Coordination Control (Paperback): Magdi S. Mahmoud Multiagent Systems - Introduction and Coordination Control (Paperback)
Magdi S. Mahmoud
R1,019 Discovery Miles 10 190 Ships in 5 - 10 working days

Multiagent systems (MAS) are one of the most exciting and the fastest growing domains in the intelligent resource management and agent-oriented technology, which deals with modeling of autonomous decisions making entities. Recent developments have produced very encouraging results in the novel approach of handling multiplayer interactive systems. In particular, the multiagent system approach is adapted to model, control, manage or test the operations and management of several system applications including multi-vehicles, microgrids, multi-robots, where agents represent individual entities in the network. Each participant is modeled as an autonomous participant with independent strategies and responses to outcomes. They are able to operate autonomously and interact pro-actively with their environment. In recent works, the problem of information consensus is addressed, where a team of vehicles communicate with each other to agree on key pieces of information that enable them to work together in a coordinated fashion. The problem is challenging because communication channels have limited range and there are possibilities of fading and dropout. The book comprises chapters on synchronization and consensus in multiagent systems. It shows that the joint presentation of synchronization and consensus enables readers to learn about similarities and differences of both concepts. It reviews the cooperative control of multi-agent dynamical systems interconnected by a communication network topology. Using the terminology of cooperative control, each system is endowed with its own state variable and dynamics. A fundamental problem in multi-agent dynamical systems on networks is the design of distributed protocols that guarantee consensus or synchronization in the sense that the states of all the systems reach the same value. It is evident from the results that research in multiagent systems offer opportunities for further developments in theoretical, simulation and implementations. This book attempts to fill this gap and aims at presenting a comprehensive volume that documents theoretical aspects and practical applications.

Algorithmic Techniques for the Polymer Sciences (Hardcover): Bradley S. Tice Algorithmic Techniques for the Polymer Sciences (Hardcover)
Bradley S. Tice
R3,578 Discovery Miles 35 780 Ships in 12 - 17 working days

This new book-the first of its kind-examines the use of algorithmic techniques to compress random and non-random sequential strings found in chains of polymers. The book is an introduction to algorithmic complexity. Examples taken from current research in the polymer sciences are used for compression of like-natured properties as found on a chain of polymers. Both theory and applied aspects of algorithmic compression are reviewed. A description of the types of polymers and their uses is followed by a chapter on various types of compression systems that can be used to compress polymer chains into manageable units. The work is intended for graduate and postgraduate university students in the physical sciences and engineering.

Programacion competitiva (CP4) - Volumen II - Manual para concursantes del ICPC y la IOI (Spanish, Hardcover): Steven Halim,... Programacion competitiva (CP4) - Volumen II - Manual para concursantes del ICPC y la IOI (Spanish, Hardcover)
Steven Halim, Felix Halim, Suhendry Effendy
R964 Discovery Miles 9 640 Ships in 12 - 17 working days
Complex Networks - An Algorithmic Perspective (Hardcover): Kayhan Erciyes Complex Networks - An Algorithmic Perspective (Hardcover)
Kayhan Erciyes
R4,027 Discovery Miles 40 270 Ships in 12 - 17 working days

Network science is a rapidly emerging field of study that encompasses mathematics, computer science, physics, and engineering. A key issue in the study of complex networks is to understand the collective behavior of the various elements of these networks. Although the results from graph theory have proven to be powerful in investigating the structures of complex networks, few books focus on the algorithmic aspects of complex network analysis. Filling this need, Complex Networks: An Algorithmic Perspective supplies the basic theoretical algorithmic and graph theoretic knowledge needed by every researcher and student of complex networks. This book is about specifying, classifying, designing, and implementing mostly sequential and also parallel and distributed algorithms that can be used to analyze the static properties of complex networks. Providing a focused scope which consists of graph theory and algorithms for complex networks, the book identifies and describes a repertoire of algorithms that may be useful for any complex network. Provides the basic background in terms of graph theory Supplies a survey of the key algorithms for the analysis of complex networks Presents case studies of complex networks that illustrate the implementation of algorithms in real-world networks, including protein interaction networks, social networks, and computer networks Requiring only a basic discrete mathematics and algorithms background, the book supplies guidance that is accessible to beginning researchers and students with little background in complex networks. To help beginners in the field, most of the algorithms are provided in ready-to-be-executed form. While not a primary textbook, the author has included pedagogical features such as learning objectives, end-of-chapter summaries, and review questions

Programacion competitiva (CP4) - Volumen I - Manual para concursantes del ICPC y la IOI (Spanish, Hardcover): Steven Halim,... Programacion competitiva (CP4) - Volumen I - Manual para concursantes del ICPC y la IOI (Spanish, Hardcover)
Steven Halim, Felix Halim, Suhendry Effendy
R955 Discovery Miles 9 550 Ships in 12 - 17 working days
Theory of Affine Projection Algorithms for Adaptive Filtering (Hardcover, 1st ed. 2016): Kazuhiko Ozeki Theory of Affine Projection Algorithms for Adaptive Filtering (Hardcover, 1st ed. 2016)
Kazuhiko Ozeki
R3,669 R3,402 Discovery Miles 34 020 Save R267 (7%) Ships in 12 - 17 working days

This book focuses on theoretical aspects of the affine projection algorithm (APA) for adaptive filtering. The APA is a natural generalization of the classical, normalized least-mean-squares (NLMS) algorithm. The book first explains how the APA evolved from the NLMS algorithm, where an affine projection view is emphasized. By looking at those adaptation algorithms from such a geometrical point of view, we can find many of the important properties of the APA, e.g., the improvement of the convergence rate over the NLMS algorithm especially for correlated input signals. After the birth of the APA in the mid-1980s, similar algorithms were put forward by other researchers independently from different perspectives. This book shows that they are variants of the APA, forming a family of APAs. Then it surveys research on the convergence behavior of the APA, where statistical analyses play important roles. It also reviews developments of techniques to reduce the computational complexity of the APA, which are important for real-time processing. It covers a recent study on the kernel APA, which extends the APA so that it is applicable to identification of not only linear systems but also nonlinear systems. The last chapter gives an overview of current topics on variable parameter APAs. The book is self-contained, and is suitable for graduate students and researchers who are interested in advanced theory of adaptive filtering.

Introduction to Recursive Programming (Hardcover): Manuel Rubio Sanchez Introduction to Recursive Programming (Hardcover)
Manuel Rubio Sanchez
R4,377 Discovery Miles 43 770 Ships in 9 - 15 working days

Recursion is one of the most fundamental concepts in computer science and a key programming technique that allows computations to be carried out repeatedly. Despite the importance of recursion for algorithm design, most programming books do not cover the topic in detail, despite the fact that numerous computer programming professors and researchers in the field of computer science education agree that recursion is difficult for novice students. Introduction to Recursive Programming provides a detailed and comprehensive introduction to recursion. This text will serve as a useful guide for anyone who wants to learn how to think and program recursively, by analyzing a wide variety of computational problems of diverse difficulty. It contains specific chapters on the most common types of recursion (linear, tail, and multiple), as well as on algorithm design paradigms in which recursion is prevalent (divide and conquer, and backtracking). Therefore, it can be used in introductory programming courses, and in more advanced classes on algorithm design. The book also covers lower-level topics related to iteration and program execution, and includes a rich chapter on the theoretical analysis of the computational cost of recursive programs, offering readers the possibility to learn some basic mathematics along the way. It also incorporates several elements aimed at helping students master the material. First, it contains a larger collection of simple problems in order to provide a solid foundation of the core concepts, before diving into more complex material. In addition, one of the book's main assets is the use of a step-by-step methodology, together with specially designed diagrams, for guiding and illustrating the process of developing recursive algorithms. Furthermore, the book covers combinatorial problems and mutual recursion. These topics can broaden students' understanding of recursion by forcing them to apply the learned concepts differently, or in a more sophisticated manner. The code examples have been written in Python 3, but should be straightforward to understand for students with experience in other programming languages. Finally, worked out solutions to over 120 end-of-chapter exercises are available for instructors.

Deep Learning with PyTorch (Paperback): Eli Stevens, Luca Antiga Deep Learning with PyTorch (Paperback)
Eli Stevens, Luca Antiga
R1,473 R1,102 Discovery Miles 11 020 Save R371 (25%) Ships in 12 - 17 working days

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you'll discover just how effective and fun PyTorch can be. Key features * Using the PyTorch tensor API * Understanding automatic differentiation in PyTorch * Training deep neural networks * Monitoring training and visualizing results * Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because it emphasizes GPU-based acceleration, PyTorch performs exceptionally well on readily-available hardware and scales easily to larger systems. Eli Stevens has worked in Silicon Valley for the past 15 years as a software engineer, and the past 7 years as Chief Technical Officer of a startup making medical device software. Luca Antiga is co-founder and CEO of an AI engineering company located in Bergamo, Italy, and a regular contributor to PyTorch.

Towards Hardware-Intrinsic Security - Foundations and Practice (Hardcover, Edition.): Ahmad-Reza Sadeghi, David Naccache Towards Hardware-Intrinsic Security - Foundations and Practice (Hardcover, Edition.)
Ahmad-Reza Sadeghi, David Naccache; Foreword by Pim Tuyls
R5,034 R4,428 Discovery Miles 44 280 Save R606 (12%) Ships in 12 - 17 working days

Hardware-intrinsic security is a young field dealing with secure secret key storage. By generating the secret keys from the intrinsic properties of the silicon, e.g., from intrinsic Physical Unclonable Functions (PUFs), no permanent secret key storage is required anymore, and the key is only present in the device for a minimal amount of time. The field is extending to hardware-based security primitives and protocols such as block ciphers and stream ciphers entangled with the hardware, thus improving IC security. While at the application level there is a growing interest in hardware security for RFID systems and the necessary accompanying system architectures. This book brings together contributions from researchers and practitioners in academia and industry, an interdisciplinary group with backgrounds in physics, mathematics, cryptography, coding theory and processor theory. It will serve as important background material for students and practitioners, and will stimulate much further research and development.

Data and Information Quality - Dimensions, Principles and Techniques (Hardcover, 1st ed. 2016): Carlo Batini, Monica Scannapieco Data and Information Quality - Dimensions, Principles and Techniques (Hardcover, 1st ed. 2016)
Carlo Batini, Monica Scannapieco
R4,386 Discovery Miles 43 860 Ships in 12 - 17 working days

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and information. It does so by delivering a sound, integrated and comprehensive overview of the state of the art and future development of data and information quality in databases and information systems. To this end, it presents an extensive description of the techniques that constitute the core of data and information quality research, including record linkage (also called object identification), data integration, error localization and correction, and examines the related techniques in a comprehensive and original methodological framework. Quality dimension definitions and adopted models are also analyzed in detail, and differences between the proposed solutions are highlighted and discussed. Furthermore, while systematically describing data and information quality as an autonomous research area, paradigms and influences deriving from other areas, such as probability theory, statistical data analysis, data mining, knowledge representation, and machine learning are also included. Last not least, the book also highlights very practical solutions, such as methodologies, benchmarks for the most effective techniques, case studies, and examples. The book has been written primarily for researchers in the fields of databases and information management or in natural sciences who are interested in investigating properties of data and information that have an impact on the quality of experiments, processes and on real life. The material presented is also sufficiently self-contained for masters or PhD-level courses, and it covers all the fundamentals and topics without the need for other textbooks. Data and information system administrators and practitioners, who deal with systems exposed to data-quality issues and as a result need a systematization of the field and practical methods in the area, will also benefit from the combination of concrete practical approaches with sound theoretical formalisms.

Shadow Algorithms Data Miner (Hardcover): Andrew Woo, Pierre Poulin Shadow Algorithms Data Miner (Hardcover)
Andrew Woo, Pierre Poulin
R2,203 Discovery Miles 22 030 Ships in 12 - 17 working days

Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation. With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.

Cost-Sensitive Machine Learning (Hardcover): Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao Cost-Sensitive Machine Learning (Hardcover)
Balaji Krishnapuram, Shipeng Yu, R. Bharat Rao
R2,954 Discovery Miles 29 540 Ships in 12 - 17 working days

In machine learning applications, practitioners must take into account the cost associated with the algorithm. These costs include:

  • Cost of acquiring training data
  • Cost of data annotation/labeling and cleaning
  • Computational cost for model fitting, validation, and testing
  • Cost of collecting features/attributes for test data
  • Cost of user feedback collection
  • Cost of incorrect prediction/classification

Cost-Sensitive Machine Learning is one of the first books to provide an overview of the current research efforts and problems in this area. It discusses real-world applications that incorporate the cost of learning into the modeling process.

The first part of the book presents the theoretical underpinnings of cost-sensitive machine learning. It describes well-established machine learning approaches for reducing data acquisition costs during training as well as approaches for reducing costs when systems must make predictions for new samples. The second part covers real-world applications that effectively trade off different types of costs. These applications not only use traditional machine learning approaches, but they also incorporate cutting-edge research that advances beyond the constraining assumptions by analyzing the application needs from first principles.

Spurring further research on several open problems, this volume highlights the often implicit assumptions in machine learning techniques that were not fully understood in the past. The book also illustrates the commercial importance of cost-sensitive machine learning through its coverage of the rapid application developments made by leading companies and academic research labs.

Decision Intelligence - Human-Machine Integration for Decision Making (Paperback): Miriam O'Callaghan Decision Intelligence - Human-Machine Integration for Decision Making (Paperback)
Miriam O'Callaghan
R1,440 Discovery Miles 14 400 Ships in 12 - 17 working days

Revealing the flaws in human decision making, this book explores how AI can be used to optimise decisions for improved business outcomes and efficiency, as well as looking ahead into the significant contributions Decision Intelligence (DI) can make to society and the ethical challenges it may raise. Offering an impressive framework of Decision Intelligence (DI), from the theories and concepts used to design autonomous intelligent agents to the technologies that power DI systems and the ways in which companies use decision-making building blocks to build DI solutions that enable businesses to democratise AI, this book provides a systematic approach to AI intelligence and human involvement. Replete with case studies on DI application, as well as wider discussions on the social implications of the technology, this book appeals to both students of AI and data solutions and businesses considering DI adoption.

Make Your Data Speak - Creating Actionable Data through Excel For Non-Technical Professionals (Paperback, 1st ed.): Alex... Make Your Data Speak - Creating Actionable Data through Excel For Non-Technical Professionals (Paperback, 1st ed.)
Alex Kolokolov
R1,396 R1,148 Discovery Miles 11 480 Save R248 (18%) Ships in 10 - 15 working days

Gather and analyze data successfully, identify trends, and then create overarching strategies and actionable next steps - all through Excel. This book will show even those who lack a technical background how to make advanced interactive reports with only Excel at hand. Advanced visualization is available to everyone, and this step-by-step guide will show you how. The information in this book is presented in an accessible and understandable way for everyone, regardless of the level of technical skills and proficiency in MS Excel. The dashboard development process is given in the format of step-by-step instructions, taking you through each step in detail. Universal checklists and recommendations of a practicing business analyst and trainer will help in solving various tasks when working with data visualization. Illustrations will help you perceive information easily and quickly. Make Your Data Speak will show you how to master the main rules, techniques and tricks of professional data visualization in just a few days. What You'll Learn See how interactive dashboards can be useful for a business Review basic rules for building dashboards Understand why it's important to pay attention to colors and fonts when developing a dashboard Create interactive management reports in Excel Who This Book is For Company executives and divisional managers, Middle managers, business analysts

Principles of High-Performance Processor Design - For High Performance Computing, Deep Neural Networks and Data Science... Principles of High-Performance Processor Design - For High Performance Computing, Deep Neural Networks and Data Science (Paperback, 1st ed. 2021)
Junichiro Makino
R5,051 Discovery Miles 50 510 Ships in 10 - 15 working days

This book describes how we can design and make efficient processors for high-performance computing, AI, and data science. Although there are many textbooks on the design of processors we do not have a widely accepted definition of the efficiency of a general-purpose computer architecture. Without a definition of the efficiency, it is difficult to make scientific approach to the processor design. In this book, a clear definition of efficiency is given and thus a scientific approach for processor design is made possible. In chapter 2, the history of the development of high-performance processor is overviewed, to discuss what quantity we can use to measure the efficiency of these processors. The proposed quantity is the ratio between the minimum possible energy consumption and the actual energy consumption for a given application using a given semiconductor technology. In chapter 3, whether or not this quantity can be used in practice is discussed, for many real-world applications. In chapter 4, general-purpose processors in the past and present are discussed from this viewpoint. In chapter 5, how we can actually design processors with near-optimal efficiencies is described, and in chapter 6 how we can program such processors. This book gives a new way to look at the field of the design of high-performance processors.

Introduction to Algorithms (Hardcover): Joe Oswald Introduction to Algorithms (Hardcover)
Joe Oswald
R3,565 R3,219 Discovery Miles 32 190 Save R346 (10%) Ships in 10 - 15 working days
Data Mining: Concepts and Algorithms (Hardcover): Mick Benson Data Mining: Concepts and Algorithms (Hardcover)
Mick Benson
R3,599 R3,251 Discovery Miles 32 510 Save R348 (10%) Ships in 10 - 15 working days
Energy-Efficient Modular Exponential Techniques for Public-Key Cryptography - Efficient Modular Exponential Techniques... Energy-Efficient Modular Exponential Techniques for Public-Key Cryptography - Efficient Modular Exponential Techniques (Paperback, 1st ed. 2021)
Satyanarayana Vollala, N. Ramasubramanian, Utkarsh Tiwari
R5,081 Discovery Miles 50 810 Ships in 10 - 15 working days

Cryptographic applications, such as RSA algorithm, ElGamal cryptography, elliptic curve cryptography, Rabin cryptosystem, Diffie -Hellmann key exchange algorithm, and the Digital Signature Standard, use modular exponentiation extensively. The performance of all these applications strongly depends on the efficient implementation of modular exponentiation and modular multiplication. Since 1984, when Montgomery first introduced a method to evaluate modular multiplications, many algorithmic modifications have been done for improving the efficiency of modular multiplication, but very less work has been done on the modular exponentiation to improve the efficiency. This research monograph addresses the question- how can the performance of modular exponentiation, which is the crucial operation of many public-key cryptographic techniques, be improved? The book focuses on Energy Efficient Modular Exponentiations for Cryptographic hardware. Spread across five chapters, this well-researched text focuses in detail on the Bit Forwarding Techniques and the corresponding hardware realizations. Readers will also discover advanced performance improvement techniques based on high radix multiplication and Cryptographic hardware based on multi-core architectures.

Data Science for Civil Engineering - A Beginner's Guide (Hardcover): Prashant Shantaram Dhotre, Parikshit Narendra... Data Science for Civil Engineering - A Beginner's Guide (Hardcover)
Prashant Shantaram Dhotre, Parikshit Narendra Mahalle, Deepak Tatyasaheb Mane, Rakesh K Jain
R2,247 Discovery Miles 22 470 Ships in 12 - 17 working days

Details information on essential mathematics required to implement civil engineering applications using data science techniques Discusses the broad background of data science and its fundamentals Focusses on structural engineering, transportation systems, water resource management, geomatics, and environmental engineering Includes Python programming libraries to solve complex problems Addresses various real-world applications of data science-based civil engineering use cases

Game Theory Basics (Paperback, New Ed): Bernhard von Stengel Game Theory Basics (Paperback, New Ed)
Bernhard von Stengel
R1,185 Discovery Miles 11 850 Ships in 9 - 15 working days

Game theory is the science of interaction. This textbook, derived from courses taught by the author and developed over several years, is a comprehensive, straightforward introduction to the mathematics of non-cooperative games. It teaches what every game theorist should know: the important ideas and results on strategies, game trees, utility theory, imperfect information, and Nash equilibrium. The proofs of these results, in particular existence of an equilibrium via fixed points, and an elegant direct proof of the minimax theorem for zero-sum games, are presented in a self-contained, accessible way. This is complemented by chapters on combinatorial games like Go; and, it has introductions to algorithmic game theory, traffic games, and the geometry of two-player games. This detailed and lively text requires minimal mathematical background and includes many examples, exercises, and pictures. It is suitable for self-study or introductory courses in mathematics, computer science, or economics departments.

Algorithms and Theory of Computation Handbook, Volume 1 - General Concepts and Techniques (Hardcover, 2nd edition): Mikhail J.... Algorithms and Theory of Computation Handbook, Volume 1 - General Concepts and Techniques (Hardcover, 2nd edition)
Mikhail J. Atallah, Marina Blanton
R6,426 Discovery Miles 64 260 Ships in 12 - 17 working days

Algorithms and Theory of Computation Handbook, Second Edition: General Concepts and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. Along with updating and revising many of the existing chapters, this second edition contains four new chapters that cover external memory and parameterized algorithms as well as computational number theory and algorithmic coding theory.

This best-selling handbook continues to help computer professionals and engineers find significant information on various algorithmic topics. The expert contributors clearly define the terminology, present basic results and techniques, and offer a number of current references to the in-depth literature. They also provide a glimpse of the major research issues concerning the relevant topics.

Algorithms of Oppression - How Search Engines Reinforce Racism (Paperback): Safiya Umoja Noble Algorithms of Oppression - How Search Engines Reinforce Racism (Paperback)
Safiya Umoja Noble
R765 R692 Discovery Miles 6 920 Save R73 (10%) Ships in 12 - 17 working days

A revealing look at how negative biases against women of color are embedded in search engine results and algorithms Run a Google search for "black girls"-what will you find? "Big Booty" and other sexually explicit terms are likely to come up as top search terms. But, if you type in "white girls," the results are radically different. The suggested porn sites and un-moderated discussions about "why black women are so sassy" or "why black women are so angry" presents a disturbing portrait of black womanhood in modern society. In Algorithms of Oppression, Safiya Umoja Noble challenges the idea that search engines like Google offer an equal playing field for all forms of ideas, identities, and activities. Data discrimination is a real social problem; Noble argues that the combination of private interests in promoting certain sites, along with the monopoly status of a relatively small number of Internet search engines, leads to a biased set of search algorithms that privilege whiteness and discriminate against people of color, specifically women of color. Through an analysis of textual and media searches as well as extensive research on paid online advertising, Noble exposes a culture of racism and sexism in the way discoverability is created online. As search engines and their related companies grow in importance-operating as a source for email, a major vehicle for primary and secondary school learning, and beyond-understanding and reversing these disquieting trends and discriminatory practices is of utmost importance. An original, surprising and, at times, disturbing account of bias on the internet, Algorithms of Oppression contributes to our understanding of how racism is created, maintained, and disseminated in the 21st century.

Advances in Artificial Intelligence, Computation, and Data Science - For Medicine and Life Science (Paperback, 1st ed. 2021):... Advances in Artificial Intelligence, Computation, and Data Science - For Medicine and Life Science (Paperback, 1st ed. 2021)
Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjoeberg
R5,113 Discovery Miles 51 130 Ships in 10 - 15 working days

Artificial intelligence (AI) has become pervasive in most areas of research and applications. While computation can significantly reduce mental efforts for complex problem solving, effective computer algorithms allow continuous improvement of AI tools to handle complexity-in both time and memory requirements-for machine learning in large datasets. Meanwhile, data science is an evolving scientific discipline that strives to overcome the hindrance of traditional skills that are too limited to enable scientific discovery when leveraging research outcomes. Solutions to many problems in medicine and life science, which cannot be answered by these conventional approaches, are urgently needed for society. This edited book attempts to report recent advances in the complementary domains of AI, computation, and data science with applications in medicine and life science. The benefits to the reader are manifold as researchers from similar or different fields can be aware of advanced developments and novel applications that can be useful for either immediate implementations or future scientific pursuit. Features: Considers recent advances in AI, computation, and data science for solving complex problems in medicine, physiology, biology, chemistry, and biochemistry Provides recent developments in three evolving key areas and their complementary combinations: AI, computation, and data science Reports on applications in medicine and physiology, including cancer, neuroscience, and digital pathology Examines applications in life science, including systems biology, biochemistry, and even food technology This unique book, representing research from a team of international contributors, has not only real utility in academia for those in the medical and life sciences communities, but also a much wider readership from industry, science, and other areas of technology and education.

Combinatorics of Compositions and Words (Hardcover): Silvia Heubach, Toufik Mansour Combinatorics of Compositions and Words (Hardcover)
Silvia Heubach, Toufik Mansour
R6,051 Discovery Miles 60 510 Ships in 12 - 17 working days

A One-Stop Source of Known Results, a Bibliography of Papers on the Subject, and Novel Research Directions

Focusing on a very active area of research in the last decade, Combinatorics of Compositions and Words provides an introduction to the methods used in the combinatorics of pattern avoidance and pattern enumeration in compositions and words. It also presents various tools and approaches that are applicable to other areas of enumerative combinatorics.

After a historical perspective on research in the area, the text introduces techniques to solve recurrence relations, including iteration and generating functions. It then focuses on enumeration of basic statistics for compositions. The text goes on to present results on pattern avoidance for subword, subsequence, and generalized patterns in compositions and then applies these results to words. The authors also cover automata, the ECO method, generating trees, and asymptotic results via random compositions and complex analysis.

Highlighting both established and new results, this book explores numerous tools for enumerating patterns in compositions and words. It includes a comprehensive bibliography and incorporates the use of the computer algebra systems Maple and Mathematica(r), as well as C++ to perform computations.

Smart Distributed Embedded Systems for Healthcare Applications (Hardcover): Preeti Nagrath, Jafar A. Alzubi, Bhawna Singla,... Smart Distributed Embedded Systems for Healthcare Applications (Hardcover)
Preeti Nagrath, Jafar A. Alzubi, Bhawna Singla, Joel J. P. C. Rodrigues, A.K. Verma
R4,005 Discovery Miles 40 050 Ships in 12 - 17 working days

This text discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the health care system and compare the results to better understand the nature and progress of the disease in the human body that leads to early diagnosis and better cure of disease and treatment with the help of distributed technology. Covers the implementation models using technologies such as artificial intelligence, machine learning, deep learning with distributed systems for better diagnosis and treatment of diseases. Gives in-depth review of the technological advancements like advanced sensing technologies like Plasmonic sensors, usage of RFIDs and electronic diagnostic tools in the field of healthcare engineering Discusses possibilities of augmented reality and virtual reality interventions for providing unique solutions in medical science, clinical research, psychology, and neurological disorders Highlights the future challenges and risks involved in the application of smart technologies like Cloud computing, fog computing, IOT and distributed computing in heathcare. Confers to utilize the AI and ML and associated aids in healthcare sectors in the post Covid 19 to revitalize the medical set up Contributions included in the book will motivate the technological developers and researchers to develop new algorithms and protocols in healthcare field. It will serve as the vast place for knowledge regarding healthcare health care delivery, health care management, health care in governance, and health monitoring approaches using distributed environments. It will serve as an ideal reference text for graduate students and researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical.

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