Computer Technology and Computer Programming

Explore the rise of technology that may soon rule our lives!What is a computer, how does it work, what are they being used for and what role may they play in the future? Big impactful photos fill the

Explore the technology that is changing our world!Imagine a computer that can learn from experience and teach itself new things - that's AI in action! Trace the development of intelligent computers fr

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting.This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.

An exploration of how technology and best intentions collide in the heat of warIn The Bomber Mafia, Malcolm Gladwell weaves together the stories of a Dutch genius and his homemade computer, a band of

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques.Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/un

Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable.In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions.It provides easily comprehensible information on Web Sema

THE UNTOLD TECH STORY OF OUR TIME What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing. Long dismissed as a technology of the distant future, artificial intelligence was a project consigned to the fringes of the scientific community. Then two researchers changed everything. One was a sixty-four-year-old computer science professor who didn't drive and didn't fly because he could no longer sit down--but still made his way across North America for the moment that would define a new age of technology. The other was a thirty-six-year-old neuroscientist and chess pro

Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data.This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in th

An invaluable text for the teaching, design, and development of gas sensor technology. This excellent resource synthesizes the fundamental principles of spectroscopy, laser physics, and photonics technology and engineering to enable the reader to fully understand the key issues and apply them in the design of optical gas absorption sensors. It provides a straightforward introduction to low-cost and highly versatile near-IR systems, as well as an extensive review of mid-IR systems. Fibre laser systems for spectroscopy are also examined in detail, especially the emerging technique of frequency comb spectroscopy. Featuring many examples of real-world application and performance, as well as MATLAB computer programs for modeling and simulation, this exceptional work is ideal for postgraduate students, researchers, and professional engineers seeking to gain an in-depth understanding of the principles and applications of fibre-optic and laser-based gas sensors.

Microelectronic Circuits, Eighth Edition, is intended as a text for the core courses inelectronic circuits taught to majors in electrical and computer engineering. It shouldalso prove useful to engineers and other professionals wishing to update their knowledgethrough self-study.As was the case with the first seven editions, the objective of this book is to develop inthe reader the ability to analyze and design electronic circuits, both analog and digital,discrete and integrated. While the application of integrated circuits is covered, emphasisis placed on transistor circuit design, This is done because of our belief that even if themajority of those studying this book were not to pursue a career in IC design, knowledgeof what is inside the IC package would enable intelligent and innovative application ofsuch chips. Furthermore, with the advances in VLSI technology and design methodology,IC design itself has become accessible to an increasing number of engineers.

This unique introduction to the foundational concepts of cyber-physical systems (CPS) describes key design principles and emerging research trends in detail. Several interdisciplinary applications are covered, with a focus on the wide-area management of infrastructures including electric power systems, air transportation networks, and health care systems. Design, control and optimization of cyber-physical infrastructures are discussed, addressing security and privacy issues of networked CPS, presenting graph-theoretic and numerical approaches to CPS evaluation and monitoring, and providing readers with the knowledge needed to operate CPS in a reliable, efficient, and secure manner. Exercises are included. This is an ideal resource for researchers and graduate students in electrical engineering and computer science, as well as for practitioners using cyber-physical systems in aerospace and automotive engineering, medical technology, and large-scale infrastructure operations.

This volume offers a historical and critical analysis of the emerging field of the learning sciences, which takes an interdisciplinary approach to understanding and improving how children and adults learn. It features a wide range of authors, including established scholars who founded and guided the learning sciences through the initial turbulence of forming a new line of academic inquiry, as well as newcomers who are continuing to shape the field. This diversity allows for a broad yet selective perspective on what the learning sciences are, why they came to be, and how contributors conduct their work. Reflections on the Learning Sciences serves both as a starting point for discussion among scholars familiar with the discipline and as an introduction for those interested in learning more. It will benefit graduate students and researchers in computer science, educational psychology, instructional technology, science, engineering, and mathematics.

There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the

Prioritising the practical over the technical, Modern Systems Analysis and Design presents the concepts, skills, methodologies, techniques, tools, and perspectives essential for systems analysts to develop information systems. The authors assume students have taken an introductory course on computer systems and have experience designing programs in at least one programming language. By drawing on the systems development life cycle, the authors provide a conceptual and systematic framework while progressing through topics logically. The 9th edition has been completely revised to adapt to the changing environment for systems development, with a renewed focus on agile methodologies.

This book answers one of the most critical questions of our time, does the vast connectivity afforded by mobile and social media lead to more personal connection with one another? It offers an evidence-based account of the role of technology in close relationships that confronts such pressing questions as where face-to-face communication belongs in this digital age, whether social media is harmful to our well-being, and how online communication spills-over into our offline communication and relationships. Each chapter explores the positive and negative influences of media on relationships, coalescing into a balanced assessment of how technological advancement has altered our connections with each other. By zeroing in on communication with the most important people in our lives and tracing the changes in computer-mediated communication over time, Relating Through Technology focuses the conversation about media on its use in our everyday lives and relationships.

CBC and NSTA's Best STEM Books Pick for 2022Explore artificial intelligence—the programming that teaches computers to be brainy—in this “enjoyable, upbeat series” (Booklist).Did you know that you can teach a robot to play soccer? Or that you can ride in a car driven by a computer? Discover how AI learns and grows, as well as how it identifies objects by recognizing differences and similarities!Ignite your scientific mind with fun facts, activities, and experiments. Try this: Hum “Twinkle, Twinkle Little Star,” “Baa, Baa, Black Sheep,” and the ABCs. Do you notice any similarities? Soon you’ll be thinking just like an AI program!This STEM-driven series helps beginning scientists and engineers grasp big scientific ideas with:Intriguing info to fill and thrill your brain.Hands-on activities to jumpstart your imagination.Great photos to help you get the bigger picture.New ideas sure to change the way you see the world.From Starry Forest Books,STEAM & Me™uses science, technology, enginee

Explore the rise of technology that may soon rule our lives!What is a computer, how does it work, what are they being used for and what role may they play in the future? Impactful photos fill the page