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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering

Control Systems (Paperback): William Bolton Control Systems (Paperback)
William Bolton
R1,065 R1,010 Discovery Miles 10 100 Save R55 (5%) Ships in 12 - 17 working days

Working through this student-centred text readers will be brought up to speed with the modelling of control systems using Laplace, and given a solid grounding of the pivotal role of control systems across the spectrum of modern engineering. A clear, readable text is supported by numerous worked example and problems.
* Key concepts and techniques introduced through applications
* Introduces mathematical techniques without assuming prior knowledge
* Written for the latest vocational and undergraduate courses

The Control Handbook - Control System Fundamentals, Second Edition (Hardcover, 2nd edition): William S. Levine The Control Handbook - Control System Fundamentals, Second Edition (Hardcover, 2nd edition)
William S. Levine
R6,055 Discovery Miles 60 550 Ships in 9 - 15 working days

At publication, The Control Handbook immediately became the definitive resource that engineers working with modern control systems required. Among its many accolades, that first edition was cited by the AAP as the Best Engineering Handbook of 1996. Now, 15 years later, William Levine has once again compiled the most comprehensive and authoritative resource on control engineering. He has fully reorganized the text to reflect the technical advances achieved since the last edition and has expanded its contents to include the multidisciplinary perspective that is making control engineering a critical component in so many fields. Now expanded from one to three volumes, The Control Handbook, Second Edition brilliantly organizes cutting-edge contributions from more than 200 leading experts representing every corner of the globe. The first volume, Control System Fundamentals, offers an overview for those new to the field but is also of great value to those across any number of fields whose work is reliant on but not exclusively dedicated to control systems. Covering mathematical fundamentals, defining principles, and basic system approaches, this volume: Details essential background, including transforms and complex variables Includes mathematical and graphical models used for dynamical systems Covers analysis and design methods and stability testing for continuous-time systems Delves into digital control and discrete-time systems, including real-time software for implementing feedback control and programmable controllers Analyzes design methods for nonlinear systems As with the first edition, the new edition not only stands as a record of accomplishment in control engineering but provides researchers with the means to make further advances. Progressively organized, the other two volumes in the set include: Control System Applications Control System Advanced Methods

Recent Advances in Time Series Forecasting (Hardcover): Dinesh C.S. Bisht, Mangey Ram Recent Advances in Time Series Forecasting (Hardcover)
Dinesh C.S. Bisht, Mangey Ram
R4,505 Discovery Miles 45 050 Ships in 12 - 17 working days

Future predictions are always a topic of interest. Precise estimates are crucial in many activities as forecasting errors can lead to big financial loss. The sequential analysis of data and information gathered from past to present is call time series analysis. This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis. It focuses on the recent techniques used, discusses a combination of methodology and applications, presents traditional and advanced tools, new applications, and identifies the gaps in knowledge in engineering applications. This book is aimed at scientists, researchers, postgraduate students and engineers in the areas of supply chain management, production, inventory planning, and statistical quality control.

Networked Nonlinear Stochastic Time-Varying Systems - Analysis and Synthesis (Hardcover): Hongli Dong, Zidong Wang, Nan Hou Networked Nonlinear Stochastic Time-Varying Systems - Analysis and Synthesis (Hardcover)
Hongli Dong, Zidong Wang, Nan Hou
R3,924 Discovery Miles 39 240 Ships in 12 - 17 working days

Networked Non-linear Stochastic Time-Varying Systems: Analysis and Synthesis copes with the filter design, fault estimation and reliable control problems for different classes of nonlinear stochastic time-varying systems with network-enhanced complexities. Divided into three parts, the book discusses the finite-horizon filtering, fault estimation and reliable control, and randomly occurring nonlinearities/uncertainties followed by designing of distributed state and fault estimators, and distributed filters. The third part includes problems of variance-constrained H state estimation, partial-nodes-based state estimation and recursive filtering for nonlinear time-varying complex networks with randomly varying topologies, and random coupling strengths. Offers a comprehensive treatment of the topics related to Networked Nonlinear Stochastic Time-Varying Systems with rigorous math foundation and derivation Unifies existing and emerging concepts concerning control/filtering/estimation and distributed filtering Provides a series of latest results by drawing on the conventional theories of systems science, control engineering and signal processing Deal with practical engineering problems such as event triggered H filtering, non-fragile distributed estimation, recursive filtering, set-membership filtering Demonstrates illustrative examples in each chapter to verify the correctness of the proposed results This book is aimed at engineers, mathematicians, scientists, and upper-level students in the fields of control engineering, signal processing, networked control systems, robotics, data analysis, and automation.

IoT Applications, Security Threats, and Countermeasures (Hardcover): Padmalaya Nayak, Niranjan Ray, P Ravichandran IoT Applications, Security Threats, and Countermeasures (Hardcover)
Padmalaya Nayak, Niranjan Ray, P Ravichandran
R4,352 Discovery Miles 43 520 Ships in 12 - 17 working days

The book explores modern sensor technologies while also discussing security issues, which is the dominant factor for many types of Internet of Things (IoT) applications. It also covers recent (IoT) applications such as the Markovian Arrival Process, fog computing, real-time solar energy monitoring, healthcare, and agriculture. Fundamental concepts of gathering, processing, and analyzing different Artificial Intelligence (AI) models in IoT applications are covered along with recent detection mechanisms for different types of attacks for effective network communication. On par with the standards laid out by international organizations in related fields, the book focuses on both core concepts of IoT along with major application areas. Designed for technical developers, academicians, data scientists, industrial researchers, professionals, and students, this book is useful in uncovering the latest innovations in the field of IoT.

Handbook of AI-based Metaheuristics (Hardcover): Anand J. Kulkarni, Patrick Siarry Handbook of AI-based Metaheuristics (Hardcover)
Anand J. Kulkarni, Patrick Siarry
R6,143 Discovery Miles 61 430 Ships in 12 - 17 working days

the handbook is a valuable reference to researchers from industry and academia, as well as Masters and PhD students around the globe working in the metaheuristics and applications domain includes contributions from a variety of academics/researchers in the field of metaheuristics

Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection (Hardcover): Almoataz Y.... Artificial Intelligence Applications in Electrical Transmission and Distribution Systems Protection (Hardcover)
Almoataz Y. Abdelaziz; Shady Hossam Eldeen Abdel Aleem, Anamika Yadav
R4,691 Discovery Miles 46 910 Ships in 12 - 17 working days

Provides essential insight on uses of different AI techniques for pattern recognition, classification, prediction and estimation, exclusive to power system protection issues Presents introduction to enhanced electricity system analysis using decision-making tools Covers AI Applications in different protective relaying functions Discusses Issues and challenges in the protection of transmission and distribution systems Includes dedicated chapter on case studies, and applications

What Every Engineer Should Know about Software Engineering (Paperback, 2nd edition): Phillip A Laplante, Mohamad Kassab What Every Engineer Should Know about Software Engineering (Paperback, 2nd edition)
Phillip A Laplante, Mohamad Kassab
R1,381 Discovery Miles 13 810 Ships in 9 - 15 working days

Defines concepts and processes of software and software development, such as agile processes, requirements engineering, and software architecture, design, construction Uncovers and answers various misconceptions about the software development process and presents an up-to-date reflection on the state of practice in the industry Details how non-software engineers can better communicate their needs to software engineers and more effectively participate in design and testing to ultimately lower software development and maintenance costs Helps answer the question: How can I better leverage embedded software in my design? Adds new chapters on software architecture, software engineering and systems, and software engineering and disruptive technologies, as well as information on cybersecurity Features new appendices that describe a sample automation system, covering software requirements, architecture, and design

AI for Digital Warfare (Paperback): Niklas Hageback, Daniel Hedblom AI for Digital Warfare (Paperback)
Niklas Hageback, Daniel Hedblom
R762 Discovery Miles 7 620 Ships in 12 - 17 working days

AI for Digital Warfare explores how the weaponising of artificial intelligence can and will change how warfare is being conducted, and what impact it will have on the corporate world. With artificial intelligence tools becoming increasingly advanced, and in many cases more humanlike, their potential in psychological warfare is being recognised, which means digital warfare can move beyond just shutting down IT systems into more all-encompassing hybrid war strategies.

Advanced AI Techniques and Applications in Bioinformatics (Hardcover): Loveleen Gaur, Arun Solanki, Samuel Fosso Wamba, Noor... Advanced AI Techniques and Applications in Bioinformatics (Hardcover)
Loveleen Gaur, Arun Solanki, Samuel Fosso Wamba, Noor Zaman Jhanjhi
R3,621 Discovery Miles 36 210 Ships in 12 - 17 working days

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

Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Hardcover): Antonis Michalas, Meera... Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (Hardcover)
Antonis Michalas, Meera Narvekar, Ramchandra Sharad Mangrulkar, Narendra Shekokar, Pallavi Vijay Chavan
R4,389 Discovery Miles 43 890 Ships in 12 - 17 working days

1. This book will attempt to provide a wide range of research and development work under the umbrella of Intelligent Computing. Aim of this book is to motivate research and applications of advanced Intelligent Computing. This book will try to gather original contributions from prospective authors specially solicited on topics covered under broad areas such as Linguistic Computing, Statistical Computing, Data Computing and Ambient Applications. Some of the topics will cover industrial issues/applications and academic research into intelligent computing. 2. Deep Learning architectures are being increasingly used in day to day applications where traditional machine learning and deep learning algorithms were used. Their improved accuracy, effectiveness in handling large data as well as reduced redundancy have major impact on growing application in the relevant field creating a demand for such a book in the market 3. This is an edited book that covers a very wide are of AI applications, so it will be difficult to specify principle competitive books. This book could be unique in terms of the subject are that the book trying to cover

Nonlinear Pinning Control of Complex Dynamical Networks - Analysis and Applications (Hardcover): Guanrong Chen, Edgar N.... Nonlinear Pinning Control of Complex Dynamical Networks - Analysis and Applications (Hardcover)
Guanrong Chen, Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez
R4,503 Discovery Miles 45 030 Ships in 12 - 17 working days

This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning. The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples.

COVID-19 - Origin, Detection and Impact Analysis Using Artificial Intelligence Computational Techniques (Hardcover): Parag... COVID-19 - Origin, Detection and Impact Analysis Using Artificial Intelligence Computational Techniques (Hardcover)
Parag Verma, Ankur Dumka, Alaknanda Ashok, Amit Dumka, Anuj Bhardwaj
R3,689 Discovery Miles 36 890 Ships in 12 - 17 working days

This book highlights progress in terms of Virus Biology and Infection Detection, Prevention, and Control, along with Screening, Testing, and Detection Techniques, that will provide learners and researchers (from basic to advanced) with the most innovative computer-driven methodologies for the fight against COVID-19. In addition, this book also covers the Pre- and Post-Impact of the COVID-19 Pandemic Crisis that will definitely provide useful content for researchers to think broadly about the analytical areas affected by COVID-19. This ultimately shows different paths to the same destination to help understand the nature of the COVID-19 pandemic and how to avoid it in the future.

Decision Making in Risk Management - Quantifying Intangible Risk Factors in Projects (Paperback): Christopher O. Cox Decision Making in Risk Management - Quantifying Intangible Risk Factors in Projects (Paperback)
Christopher O. Cox
R1,551 Discovery Miles 15 510 Ships in 12 - 17 working days

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them. Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects. This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

Machine Translation and Transliteration involving Related, Low-resource Languages (Hardcover): Anoop Kunchukuttan, Pushpak... Machine Translation and Transliteration involving Related, Low-resource Languages (Hardcover)
Anoop Kunchukuttan, Pushpak Bhattacharyya
R4,503 Discovery Miles 45 030 Ships in 12 - 17 working days

Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages. An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation. Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.

Decision Making in Risk Management - Quantifying Intangible Risk Factors in Projects (Hardcover): Christopher O. Cox Decision Making in Risk Management - Quantifying Intangible Risk Factors in Projects (Hardcover)
Christopher O. Cox
R4,608 Discovery Miles 46 080 Ships in 10 - 15 working days

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them. Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects. This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

Systems Biology of Cell Signaling - Recurring Themes and Quantitative Models (Paperback): James Ferrell Systems Biology of Cell Signaling - Recurring Themes and Quantitative Models (Paperback)
James Ferrell
R2,336 Discovery Miles 23 360 Ships in 9 - 15 working days

How can we understand the complexity of genes, RNAs, and proteins and the associated regulatory networks? One approach is to look for recurring types of dynamical behavior. Mathematical models prove to be useful, especially models coming from theories of biochemical reactions such as ordinary differential equation models. Clever, careful experiments test these models and their basis in specific theories. This textbook aims to provide advanced students with the tools and insights needed to carry out studies of signal transduction drawing on modeling, theory, and experimentation. Early chapters summarize the basic building blocks of signaling systems: binding/dissociation, synthesis/destruction, and activation/inactivation. Subsequent chapters introduce various basic circuit devices: amplifiers, stabilizers, pulse generators, switches, stochastic spike generators, and oscillators. All chapters consistently use approaches and concepts from chemical kinetics and nonlinear dynamics, including rate-balance analysis, phase plane analysis, nullclines, linear stability analysis, stable nodes, saddles, unstable nodes, stable and unstable spirals, and bifurcations. This textbook seeks to provide quantitatively inclined biologists and biologically inclined physicists with the tools and insights needed to apply modeling and theory to interesting biological processes. Key Features: * Full-color illustration program with diagrams to help illuminate the concepts * Enables the reader to apply modeling and theory to the biological processes * Further Reading for each chapter * High-quality figures available for instructors to download

Deep Learning in Biomedical and Health Informatics - Current Applications and Possibilities (Hardcover): Ajith Abraham, Onur... Deep Learning in Biomedical and Health Informatics - Current Applications and Possibilities (Hardcover)
Ajith Abraham, Onur Dogan, Sanju Tiwari, M.A. Jabbar, Ana Maria Madureira
R3,363 Discovery Miles 33 630 Ships in 12 - 17 working days

Provides a proficient guide on the relationship between AI and healthcare and how AI is changing all aspects of the health care industry Covers how deep learning will help in the diagnosis and the prediction of disease spread Presents a comprehensive review of research applying deep learning in health informatics in the fields of medical imaging, electronic health records, genomics, and sensing Highlights various challenges in applying the deep learning in health care Promotes research in deep learning application in understanding the biomedical process

Multiple Objective Analytics for Criminal Justice Systems (Hardcover): Gerald W. Evans Multiple Objective Analytics for Criminal Justice Systems (Hardcover)
Gerald W. Evans
R1,504 Discovery Miles 15 040 Ships in 9 - 15 working days

Criminal justice systems are complex and difficult to design and operate. This is due to their many interacting parts, and their dynamic and probabilistic nature, as well as their interfaces with other systems. This book reviews the use of analytics to address issues in criminal justice system and discusses the various sources of data associated with the systems. This book is meant to be used by those who would like 1) an introduction to criminal justice systems and 2) an illustration of how some of the various methodologies of analytics can be used to address specific issues in criminal justice systems. This book will be of interest to faculty, students, and researchers in schools/departments of criminal justice, law, public affairs, political science, industrial engineering, and management. In addition, the book should be of use to government analysts who study the effects of criminal programs and laws.

Innovation Fundamentals - Quantitative and Qualitative Techniques (Hardcover): Adedeji B. Badiru, Gary Lamont Innovation Fundamentals - Quantitative and Qualitative Techniques (Hardcover)
Adedeji B. Badiru, Gary Lamont
R3,924 Discovery Miles 39 240 Ships in 12 - 17 working days

The book uses a systems-based approach to show how innovation is pervasive in all facets of endeavors, including business, industrial, government, the military, and even academia. It presents chapters that provide techniques and methodologies for achieving the transfer of science and technology assets for innovation applications. By introducing Innovation, the book and offers different viewpoints, both qualitative and quantitative. It includes the role that systems can play and discusses approaches along technical and process issues. There is a showcase of innovation applications, and coverage on how to manage innovation individually as well as within a team and it also includes how to develop, manage, and sustain innovation in various organizations. Open-ended questions and exercises are included at the end of chapters with no need for a solutions manual. Written for the advance-level textbook market as well as for the professional reader, it targets those within the engineering, business, and management fields.

Blockchain for Healthcare Systems - Challenges, Privacy, and Securing of Data (Hardcover): Sheikh Mohammad Idrees, Parul... Blockchain for Healthcare Systems - Challenges, Privacy, and Securing of Data (Hardcover)
Sheikh Mohammad Idrees, Parul Agarwal, M. Afshar Alam
R3,331 Discovery Miles 33 310 Ships in 12 - 17 working days

Talks about securing healthcare data using Blockchain and Cryptography Discusses challenges and solutions for Blockchain technology in the healthcare sector Presents digital transformation of the healthcare sector using different technologies Covers the handling of healthcare data/medical records using Blockchain technology Explores managing the medical supply chain using Blockchain technology

Machine Learning for Knowledge Discovery with R - Methodologies for Modeling, Inference and Prediction (Hardcover): Kao-Tai Tsai Machine Learning for Knowledge Discovery with R - Methodologies for Modeling, Inference and Prediction (Hardcover)
Kao-Tai Tsai
R2,604 Discovery Miles 26 040 Ships in 12 - 17 working days

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes many recent supervised and unsupervised machine learning methodologies such as recursive partitioning modelling, regularized regression, support vector machine, neural network, clustering, and causal-effect inference. Additionally, it emphasizes statistical thinking of data analysis, use of statistical graphs for data structure exploration, and result presentations. The book includes many real-world data examples from life-science, finance, etc. to illustrate the applications of the methods described therein. Key Features: Contains statistical theory for the most recent supervised and unsupervised machine learning methodologies. Emphasizes broad statistical thinking, judgment, graphical methods, and collaboration with subject-matter-experts in analysis, interpretation, and presentations. Written by statistical data analysis practitioner for practitioners. The book is suitable for upper-level-undergraduate or graduate-level data analysis course. It also serves as a useful desk-reference for data analysts in scientific research or industrial applications.

Tradition and Innovation (Hardcover): Maria Joao Pereira Neto Tradition and Innovation (Hardcover)
Maria Joao Pereira Neto; Edited by Maria do Rosario Monteiro, Mario Ming Kong
R5,432 Discovery Miles 54 320 Ships in 12 - 17 working days

The texts presented in Proportion Harmonies and Identities (PHI) Tradition and Innovation were compiled with the intent to establish a multidisciplinary platform for the presentation, interaction, and dissemination of researches. They also aim to foster the awareness and discussion on the topic of Tradition and Innovation, focusing on different visions relevant to Architecture, Arts and Humanities, Design and Social Sciences, and its importance and benefits for the sense of identity, both individual and communal. The idea of Tradition and Innovation has been a significant motor for development since the Western Early Modern Age. Its theoretical and practical foundations have become the working tools of scientists, philosophers, and artists, who seek strategies and policies to accelerate the development process in different contexts.

Internet of Energy for Smart Cities - Machine Learning Models and Techniques (Hardcover): Anish Jindal, Neeraj Kumar, Gagangeet... Internet of Energy for Smart Cities - Machine Learning Models and Techniques (Hardcover)
Anish Jindal, Neeraj Kumar, Gagangeet Singh Aujla
R3,926 Discovery Miles 39 260 Ships in 12 - 17 working days

Machine learning approaches has the capability to learn and adapt to the constantly evolving demands of large Internet-of-energy (IoE) network. The focus of this book is on using the machine learning approaches to present various solutions for IoE network in smart cities to solve various research gaps such as demand response management, resource management and effective utilization of the underlying ICT network. It provides in-depth knowledge to build the technical understanding for the reader to pursue various research problems in this field. Moreover, the example problems in smart cities and their solutions using machine learning are provided as relatable to the real-life scenarios. Aimed at Graduate Students, Researchers in Computer Science, Electrical Engineering, Telecommunication Engineering, Internet of Things, Machine Learning, Green computing, Smart Grid, this book: Covers all aspects of Internet of Energy (IoE) and smart cities including research problems and solutions. Points to the solutions provided by machine learning to optimize the grids within a smart city set-up. Discusses relevant IoE design principles and architecture. Helps to automate various services in smart cities for energy management. Includes case studies to show the effectiveness of the discussed schemes.

Introduction to High-Dimensional Statistics (Hardcover, 2nd edition): Christophe Giraud Introduction to High-Dimensional Statistics (Hardcover, 2nd edition)
Christophe Giraud
R2,373 Discovery Miles 23 730 Ships in 12 - 17 working days

Revised chapters from the previous edition, with the inclusion of many additional materials on some important topics, including compress sensing, estimation with convex constraints, the slope estimator, simultaneously low rank and row sparse linear regression, or aggregation of a continuous set of estimators. Three new chapters on iterative algorithms, clustering and minimax lower bounds. Enhanced appendices,minimax lower-bounds mainly with the addition of Davis-Kahan perturbation bound and of two simple versions of Hanson-Wright concentration inequality.

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