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Books > Computing & IT > Applications of computing > Artificial intelligence

A Concise Introduction to Robot Programming with ROS2 (Hardcover): Francisco Martin Rico A Concise Introduction to Robot Programming with ROS2 (Hardcover)
Francisco Martin Rico
R3,488 Discovery Miles 34 880 Ships in 12 - 17 working days

Uses the two programming languages officially supported in ROS2 (C++, mainly, and Python). Approaches ROS2 from three different but complementary dimensions; the Community, Computation Graph, and the Workspace. Includes a complete simulated robot, development and testing strategies, Behavior Trees, and Nav2 description, setup and use. A GitHub repository with code to assist readers.

Artificial Intelligence for Marketing Management (Hardcover): Park Thaichon, Sara Quach Artificial Intelligence for Marketing Management (Hardcover)
Park Thaichon, Sara Quach
R3,769 Discovery Miles 37 690 Ships in 12 - 17 working days

Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing. This book also explores the dark side of AI in marketing management and discusses ethics and transparency of automated decision-making in AI applications, data privacy, cyber security issues, and biases in various facets of marketing. Emerging applications of AI such as DeepFakes which use deep learning technology could increase risks of manipulation and deception. Hence, apart from leveraging AI capabilities and advantages, the book cautions the need for prevention strategies to deal with potential issues that could arise from the adoption of AI in marketing management. This book will provide practical insights into the role of AI in marketing management. It will be a useful reference for those researching marketing and marketing professionals.

How Things Work - The Technology Edition (Hardcover): Charles F. Bowman How Things Work - The Technology Edition (Hardcover)
Charles F. Bowman
R3,632 Discovery Miles 36 320 Ships in 12 - 17 working days

* Provides simple, conceptual descriptions of everyday technologies * Includes clear examples and diagrams that demonstrate the principles and techniques, not just a "how-to" punch list * Covers advanced topics for readers who want to dive into the deep end of the technology pool * Avoids jargon-where terminology does appear, the text will provide clear, concise definitions

Introduction to Machine Learning with Applications in Information Security (Hardcover, 2nd edition): Mark Stamp Introduction to Machine Learning with Applications in Information Security (Hardcover, 2nd edition)
Mark Stamp
R1,999 Discovery Miles 19 990 Ships in 12 - 17 working days

Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn't prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and Linear Discriminant Analysis (LDA). The fundamental deep learning topics of backpropagation, Convolutional Neural Networks (CNN), Multilayer Perceptrons (MLP), and Recurrent Neural Networks (RNN) are covered in depth. A broad range of advanced deep learning architectures are also presented, including Long Short-Term Memory (LSTM), Generative Adversarial Networks (GAN), Extreme Learning Machines (ELM), Residual Networks (ResNet), Deep Belief Networks (DBN), Bidirectional Encoder Representations from Transformers (BERT), and Word2Vec. Finally, several cutting-edge deep learning topics are discussed, including dropout regularization, attention, explainability, and adversarial attacks. Most of the examples in the book are drawn from the field of information security, with many of the machine learning and deep learning applications focused on malware. The applications presented serve to demystify the topics by illustrating the use of various learning techniques in straightforward scenarios. Some of the exercises in this book require programming, and elementary computing concepts are assumed in a few of the application sections. However, anyone with a modest amount of computing experience should have no trouble with this aspect of the book. Instructor resources, including PowerPoint slides, lecture videos, and other relevant material are provided on an accompanying website: http://www.cs.sjsu.edu/~stamp/ML/.

Constructing Ambient Intelligence - AmI 2008 Workshops, Nuremberg, Germany, November 19-22, 2008, Revised Papers (Paperback,... Constructing Ambient Intelligence - AmI 2008 Workshops, Nuremberg, Germany, November 19-22, 2008, Revised Papers (Paperback, Edition.)
Heinz Gerhauser, Jurgen Hupp, Christos Efstratiou, Janina Heppner
R1,464 Discovery Miles 14 640 Ships in 10 - 15 working days

Ambient intelligence (AmI) was established in the late 1990s as a recent paradigm for electronic environments for the timeframe of 2010-2020. AmI is essentially an elabo- tion of Mark Weiser's vision of ubiquitous computing. Weiser was aiming at a novel mobile computing infrastructure integrated into the networked environment of people. AmI is the idea of a technology that will become invisibly embedded in our natural s- roundings, present whenever we need it, enabled by simple and effortless interaction, attuned to all our senses, adaptive to users, context-sensitive, and autonomous. AmI refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its adoption the vision has grown and fully developed, bec- ing quite influential in the development of novel ideas for information processing and new concepts for multi-disciplinary fields including electrical engineering, computer science, industrial design, user interfaces, and cognitive sciences. The AmI system - fords a basis for new paradigms of technological innovation within a multi-dimensional society. The added value of the AmI vision is the fact that the large-scale integration of electronics into the environment allows the actors, i. e. , people and objects, to collaborate with their surroundings in a natural measure. This is directly related to the increasing societal demand for communication and the exchange of information.

Data Mining and Exploration - From Traditional Statistics to Modern Data Science (Hardcover): Chong Ho Alex Yu Data Mining and Exploration - From Traditional Statistics to Modern Data Science (Hardcover)
Chong Ho Alex Yu
R4,072 Discovery Miles 40 720 Ships in 12 - 17 working days

Helps readers to transition from traditional statistics to modern data science Reviews the pros and cons of open source and commercial software packages, and their proper applications in specific situations. Explores data using dynamic methods rather than counting on dichotomous thinking. Considers alternate models using ensemble models and model comparison rather than fixing a preconceived hypothesis/model on a single method. Shows how to find the hidden pattern in the data by dynamic visualization rather than over-relying on numeric results.

Human Compatible - Artificial Intelligence and the Problem of Control (Paperback): Stuart Russell Human Compatible - Artificial Intelligence and the Problem of Control (Paperback)
Stuart Russell
R422 Discovery Miles 4 220 Ships in 12 - 17 working days

A leading artificial intelligence researcher lays out a new approach to AI that will enable us to coexist successfully with increasingly intelligent machines In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable. In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He also spells out the ways humans are already finding to misuse AI, from lethal autonomous weapons to viral sabotage. If the predicted breakthroughs occur and superhuman AI emerges, we will have created entities far more powerful than ourselves. How can we ensure they never, ever, have power over us? Russell suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy. Such machines would be humble, altruistic, and committed to pursue our objectives, not theirs. This new foundation would allow us to create machines that are provably deferential and provably beneficial.

Journey of the Mind - How Thinking Emerged from Chaos (Hardcover): Ogi Ogas, Sai Gaddam Journey of the Mind - How Thinking Emerged from Chaos (Hardcover)
Ogi Ogas, Sai Gaddam
R722 Discovery Miles 7 220 Ships in 9 - 15 working days

Why do minds exist? How did mud and stone develop into beings that can experience longing, regret, love and compassion-beings that are aware of their own experience? Until recently, science offered few answers to these existential questions. Journey of the Mind is the first book to offer a unified account of the mind that explains how consciousness, language, the Self and civilisation emerged incrementally out of chaos. The journey begins three billion years ago with the emergence of the simplest possible mind, a nanoscopic archeon, then ascends through amoebas, worms, frogs, birds, monkeys and AI, examining successively smarter ways of thinking. The authors explain the mathematical principles generating conscious experience and show how these principles led cities and democratic nations to develop new forms of consciousness-the self-aware "superminds". Journey of the Mind concludes by contemplating a higher stage of consciousness already emerging-and the ultimate fate of all minds in the universe.

Machine Learning, Blockchain, and Cyber Security in  Smart Environments - Application and Challenges (Hardcover): Sarvesh... Machine Learning, Blockchain, and Cyber Security in Smart Environments - Application and Challenges (Hardcover)
Sarvesh Tanwar, Sumit Badotra, Ajay Rana
R3,918 Discovery Miles 39 180 Ships in 12 - 17 working days

Machine Learning, Cyber Security, and Blockchain in Smart Environment: Application and Challenges provides far-reaching insights into the recent techniques forming the backbone of smart environments, and addresses the vulnerabilities that give rise to the challenges in real-word implementation. The book focuses on the benefits related to the emerging applications such as machine learning, blockchain and cyber security. Key Features: Introduces the latest trends in the fields of machine learning, blockchain and cyber security Discusses the fundamentals, challenges and architectural overviews with concepts Explores recent advancements in machine learning, blockchain, and cyber security Examines recent trends in emerging technologies This book is primarily aimed at graduates, researchers, and professionals working in the areas of machine learning, blockchain, and cyber security.

Edutech Enabled Teaching - Challenges and Opportunities (Hardcover): Manpreet Singh Manna, Balamurugan Balusamy, Kiran Sood,... Edutech Enabled Teaching - Challenges and Opportunities (Hardcover)
Manpreet Singh Manna, Balamurugan Balusamy, Kiran Sood, Naveen Chilamkurti, Ignisha Rajathi George
R3,920 Discovery Miles 39 200 Ships in 12 - 17 working days

The primary goal of this book is to address the issues faced by teachers in the adoption of digital tools into their teaching and their students learning. This book also addresses the issues confronting educators in the integration of digital technologies into their teaching and their students' learning. Such issues include a skepticism of the added value of technology to educational learning outcomes, the perception of the requirement to keep up with the fast pace of technological innovation, a lack of knowledge of affordable educational digital tools and a lack of understanding of pedagogical strategies to embrace digital technologies in their teaching. This book presents theoretical perspectives of learning and teaching today's digital students with technology and proposes a pragmatic and sustainable framework for teachers' professional learning to embed digital technologies into their repertoire of teaching strategies in a systematic, coherent and comfortable manner so that technology integration becomes an almost effortless pedagogy in their day-to-day teaching. Some of the objectives are given below: Shares valuable insights into the influence of technology on teaching and learning in higher education Provides deeper insights on higher education and sustainability interact Studies innovations from various perspectives Investigates how the educators and students apply the unique innovative and emotional dimensions in modern age of learning Provides a timely overview of changes in education reforms and policy research globally Evaluates the problematic relationship between globalization, the state, and education reforms.

Machine Learning, Deep Learning, Big Data, and Internet of Things  for Healthcare (Hardcover): Govind Singh Patel, Seema Nayak,... Machine Learning, Deep Learning, Big Data, and Internet of Things for Healthcare (Hardcover)
Govind Singh Patel, Seema Nayak, Sunil Kumar Chaudhary
R3,912 Discovery Miles 39 120 Ships in 12 - 17 working days

This book reviews that narrate the development of current technologies under the theme of the emerging concept of healthcare, specifically in terms of what makes healthcare more efficient and effective with the help of high-precision algorithms. The mechanism that drives it is machine learning, deep learning, big data, and Internet of Things (IoT)-the scientific field that gives machines the ability to learn without being strictly programmed. It has emerged together with big data technologies and high-performance computing to create new opportunities to unravel, quantify, and understand data-intensive processes in healthcare operational environments. This book offers comprehensive coverage of the most essential topics, including: Introduction to e-monitoring for healthcare Case studies based on big data and healthcare Intelligent learning analytics in healthcare sectors using machine learning and IoT Identifying diseases and diagnosis using machine learning and IoT Deep learning architecture and framework for healthcare using IoT Knowledge discovery from big data of healthcare-related processing Big data and IoT in healthcare Role of IoT in sustainable healthcare A heterogeneous IoT-based application for remote monitoring of physiological and environmental parameters

Machine Learning and Probabilistic Graphical Models for Decision Support Systems (Hardcover): Kim Phuc Tran Machine Learning and Probabilistic Graphical Models for Decision Support Systems (Hardcover)
Kim Phuc Tran
R4,518 Discovery Miles 45 180 Ships in 12 - 17 working days

- Introduce Decision Support Systems (DSS) with artificial intelligence for the Industry 4.0 Environments - Provide the essentials of recent applications of Machine Learning and Probabilistic Graphical Models for DSS - Consider the process uncertainty when developing the DSS helps these studies closer to reality - Provide general concepts for extracting knowledge from big data effectively and interpret decisions for DSS - Introduce real-world case studies in various fields like Engineering, Management, Healthcare with guidance and recommendations for the practical applications of these studies

Recent Advances in AI-enabled Automated Medical Diagnosis (Hardcover): Richard Jiang, Danny Crookes, Hua-Liang Wei, Li Zhang,... Recent Advances in AI-enabled Automated Medical Diagnosis (Hardcover)
Richard Jiang, Danny Crookes, Hua-Liang Wei, Li Zhang, Paul Chazot
R3,938 Discovery Miles 39 380 Ships in 12 - 17 working days

Developments in deep learning in the past decade have led to phenomenal growth in AI-based automated medical diagnosis, opening a door to a new era of both medical research and medical industry. It is a golden age for researchers involved in the development and application of advanced machine learning techniques for medical and clinical problems. This book captures the most recent important advances in this cross-disciplinary topic and brings the latest advances to a wide audience including experts, researchers, students, industry developers and medical services.

The New Breed - How to Think About Robots (Paperback): Kate Darling The New Breed - How to Think About Robots (Paperback)
Kate Darling
R265 R212 Discovery Miles 2 120 Save R53 (20%) Ships in 5 - 10 working days

'A must read for anyone interested in the emerging ethics of robotics' Irene M. Pepperberg A bold, optimistic exploration of the relationship between robots and humans based on our history with animals, from a renowned MIT researcher The robots are here. They make our cars, they deliver fast food, they mine the sea floor. And in the near-future their presence will increasingly enter our homes and workplaces - making human-robot interaction a frequent, everyday occurrence. What will this future look like? What will define the relationship between humans and robots? Here Kate Darling, a world-renowned expert in robot ethics, shows that in order to understand the new robot world, we must first move beyond the idea that this technology will be something like us. Instead, she argues, we should look to our relationship with animals. Just as we have harnessed the power of animals to aid us in war and work, so too will robots supplement - rather than replace - our own skills and abilities. A deeply original analysis of our technological future and the ethical dilemmas that await us, The New Breed explains how the treatment of machines can reveal a new understanding of our own history, our own systems and how we relate - not just to non-humans, but also to each other.

Knowledge Guided Machine Learning - Accelerating Discovery using Scientific Knowledge and Data (Hardcover): Anuj Karpatne,... Knowledge Guided Machine Learning - Accelerating Discovery using Scientific Knowledge and Data (Hardcover)
Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar
R3,066 Discovery Miles 30 660 Ships in 12 - 17 working days

Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML

Visual Perception and Control of Underwater Robots (Paperback): Junzhi Yu, Xingyu Chen, Shihan Kong Visual Perception and Control of Underwater Robots (Paperback)
Junzhi Yu, Xingyu Chen, Shihan Kong
R1,435 Discovery Miles 14 350 Ships in 12 - 17 working days

Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based calibration for binocular measurement, prior knowledge refinement for object detection, analysis of temporal detection performance, as well as the effect of the aquatic data domain on object detection. With the aid of visual perception technologies, two up-to-date underwater robot systems are demonstrated. The first system focuses on underwater robotic operation for the task of object collection in the sea. The second is an untethered biomimetic robotic fish with a camera stabilizer, its control methods based on visual tracking. The authors provide a self-contained and comprehensive guide to understand underwater visual perception and control. Bridging the gap between theory and practice in underwater vision, the book features implementable algorithms, numerical examples, and tests, where codes are publicly available. Additionally, the mainstream technologies covered in the book include deep learning, adversarial learning, evolutionary computation, robust control, and underwater bionics. Researchers, senior undergraduate and graduate students, and engineers dealing with underwater visual perception and control will benefit from this work.

Coded Leadership - Developing Scalable Management in an AI-induced Quantum World (Hardcover): Pinisetti Swami Sairam,... Coded Leadership - Developing Scalable Management in an AI-induced Quantum World (Hardcover)
Pinisetti Swami Sairam, Hemachandran K, Raul Villamarin Rodriguez
R2,378 Discovery Miles 23 780 Ships in 12 - 17 working days

Introduction to Quantum Natural Language Processing. Overview of Leadership and AI. The Age of Quantum Superiority. Challenges To Today's Leadership. AI-induced Strategic Implementation and Organizational Performance.

Entropy Randomization in Machine Learning (Hardcover): Yuri S Popkov, Alexey Yu. Popkov, Yuri A. Dubnov Entropy Randomization in Machine Learning (Hardcover)
Yuri S Popkov, Alexey Yu. Popkov, Yuri A. Dubnov
R2,550 Discovery Miles 25 500 Ships in 12 - 17 working days

A systematic presentation of the randomized machine learning problem: from data processing, through structuring randomized models and algorithmic procedure, to the solution of applications-relevant problems in different fields. Provides new numerical methods for random global optimization and computation of multidimensional integrals. A universal algorithm for randomized machine learning.

Handbook of Moth-Flame Optimization Algorithm - Variants, Hybrids, Improvements, and Applications (Hardcover): Seyed Ali... Handbook of Moth-Flame Optimization Algorithm - Variants, Hybrids, Improvements, and Applications (Hardcover)
Seyed Ali Mirjalili
R3,054 Discovery Miles 30 540 Ships in 12 - 17 working days

Reviews the literature of the Moth-Flame Optimization algorithm; Provides an in-depth analysis of equations, mathematical models, and mechanisms of the Moth-Flame Optimization algorithm; Proposes different variants of the Moth-Flame Optimization algorithm to solve binary, multi-objective, noisy, dynamic, and combinatorial optimization problems; Demonstrates how to design, develop, and test different hybrids of Moth-Flame Optimization algorithm; Introduces several applications areas of the Moth-Flame Optimization algorithm focusing in sustainability.

Machine Learning - Theory to Applications (Hardcover): Seyedeh Leili Mirtaheri, Reza Shahbazian Machine Learning - Theory to Applications (Hardcover)
Seyedeh Leili Mirtaheri, Reza Shahbazian
R4,354 Discovery Miles 43 540 Ships in 12 - 17 working days

- Offers a comprehensive technological path from basic theories to categorization of existing algorithms - Covers state-of-the-art Auto Encoder, Generative Networks, Synthetic data, Self-Driving cars and cognitive AI-based decision makings. - Includes practical evaluations with python on GAN and using synthetic data - Provides an overview of the trends, and applications to provide you with ML landscape

Handbook of Sustainable Development Through Green Engineering and Technology (Hardcover): Vikram Bali, Rajni Mohana, Ahmed A.... Handbook of Sustainable Development Through Green Engineering and Technology (Hardcover)
Vikram Bali, Rajni Mohana, Ahmed A. Elngar, Sunil Kumar Chawla, Gurpreet Singh
R4,960 Discovery Miles 49 600 Ships in 12 - 17 working days

Provides an overview of the role engineering plays in climate change and environmental pollution Presents an updated overview of Green Engineering focusing on green technology Innovations Explores energy management strategies Discusses green communication technologies, green computing technologies, green smart buildings, green smart lighting, green smart mobility management, fuel-efficient transportation, paperless offices, energy efficiency measures, waste recycling, etc. Identifies the development of sustainable plans and programs at the urban level within the current legislative framework

Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models (Paperback): Przemyslaw Biecek, Tomasz Burzykowski Explanatory Model Analysis - Explore, Explain, and Examine Predictive Models (Paperback)
Przemyslaw Biecek, Tomasz Burzykowski
R1,456 Discovery Miles 14 560 Ships in 12 - 17 working days

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Digital Innovation for Pandemics - Concepts, Challenges, Constraints, and Opportunities (Hardcover): Jasleen Kaur, Navjot Sidhu Digital Innovation for Pandemics - Concepts, Challenges, Constraints, and Opportunities (Hardcover)
Jasleen Kaur, Navjot Sidhu
R3,333 Discovery Miles 33 330 Ships in 12 - 17 working days

A pandemic does not only bring health concerns for society but also significantly affects individuals and government and business operations. Recently, COVID-19 has substantially hampered conventional businesses and organizations worldwide. Digital technology can help achieve business continuity and overcome challenges caused by pandemic situations. Digital innovation is the application of digital technology to existing business problems. Ideas such as digital transformation and digitization are closely related to digital innovation. In this pandemic period, many businesses recognize that they need to transform, innovate, and adopt new technologies to stay competitive. However, digital transformation is an inherently complex process, and the time pressure to adopt quickly may result in further complexities for organizations in fostering digital technologies. Digital Innovations for Pandemics: Concepts, Challenges, Constraints, and Opportunities presents the potential of digital responses to the COVID-19 pandemic. It explores new digital concepts for learning and teaching, provides an overview of organizational responses to the crisis through digital technologies, and examines digital solutions developed to manage the crisis. Examining how information systems researchers can contribute to these global efforts, this book seeks to showcase how consumers, citizens, entrepreneurs, organizations, institutions, and governments are leveraging new and emerging digital innovations to disrupt and transform value creation in the pandemic era. It captures the breadth of digital innovations carried out to handle the pandemic and looks at the use of digital technologies to strengthen various processes. The book features the following: Solutions on how digital technologies enable responses to a global crisis An analysis of information systems used during the management of the COVID-19 pandemic New concepts for digital business and innovative content models for different sectors This book is written for advanced undergraduate students, postgraduate students, researchers, and scholars in the field of digital business, education, and healthcare. It includes theoretical chapters and case studies from leading scholars and practitioners on the technology-adoption practices of non-government organizations (NGOs), government, and business.

Artificial Intelligence Techniques in IoT Sensor Networks (Paperback): Mohamed Elhoseny, Mohamed Abdel-Basset, K Shankar Artificial Intelligence Techniques in IoT Sensor Networks (Paperback)
Mohamed Elhoseny, Mohamed Abdel-Basset, K Shankar
R1,357 Discovery Miles 13 570 Ships in 12 - 17 working days

Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master's students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.

It's All Analytics! - The Foundations of Al, Big Data and Data Science Landscape for Professionals in Healthcare,... It's All Analytics! - The Foundations of Al, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (Paperback)
Scott Burk, Gary D. Miner
R1,797 Discovery Miles 17 970 Ships in 12 - 17 working days

It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.

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