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This book provides an overview of the basic concepts and components of UAVs, the various sensors used, architecture of autonomous UAVs, communication tools and devices to acquire real-time data from UAVs, the software needed to analyze the UAV data, required rules and regulations to fly UAVs, various application areas (e.g. construction, oil and gas, mining, agriculture, forestry, search and rescue, surveillance, transportation, disaster, logistics), and future areas of research which is needed to handle relevant challenges.

A book for developers who are looking for an overview of basic concepts in Natural Language Processing. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics.

Offers a simple, practical, and concise guide to structural steel design - using the Load and Resistance Factor Design (LRFD) and the Allowable Strength Design (ASD) methods - that equips the reader with the necessary skills for designing real-world structures.

Essential concepts of programming language design and implementation are explained and illustrated in the context of the object-oriented programming language (OOPL) paradigm. Written with the upper-level undergraduate student in mind, the text begins with an introductory chapter that summarizes the essential features of an OOPL, then widens the discussion to categorize the other major paradigms, introduce the important issues, and define the essential terms. After a brief second chapter on event-driven programming (EDP), subsequent chapters are built around case studies in each of the languages Smalltalk, C++, Java, C#, and Python. Included in each case study is a discussion of the accompanying libraries, including the essential container classes. For each language, one important event-driven library is singled out and studied. Sufficient information is given so that students can complete an event-driven project in any of the given languages. After completing the course the student should have a solid set of skills in each language the instructor chooses to cover, a comprehensive overview of how these languages relate to each other, and an appreciation of the major issues in OOPL design.Key Features:*Provides essential coverage of Smalltalk origins, syntax, and semantics, a valuable asset for students wanting to understand the hybrid Objective C language *Provides detailed case studies of Smalltalk, Java, C++, C#, and Python and features a side-by-side development of the Java and C++ languages--highlighting their similarities and differences*Sets the discussion in a historical framework, tracing the roots of the OOPLs back to Simula 67.*Provides broad-based coverage of all languages, imparting essential skills as well as an appreciation for each language's design philosophy*Includes chapter summary, review questions, chapter exercises, an appendix with event-driven projects, and instructor resources

COMSOL5 Multiphysics(R) is one of the most valuable software modeling tools for engineers and scientists. This book, an updated edition of the previously published, COMSOL for Engineers, covers COMSOL5 which now includes a revolutionary tool, the Application Builder. This component enables users to build apps based on COMSOL models that can be run on almost any operating system (Windows, MAC, mobile/iOS, etc.). Designed for engineers from various disciplines, the book introduces multiphysics modeling techniques and examples accompanied by practical applications using COMSOL5.x. The main objective is to introduce readers to use COMSOL as an engineering tool for modeling, by solving examples that could become a guide for modeling similar or more complicated problems. The book provides a collection of examples and modeling guidelines through which readers can build their own models. The mathematical fundamentals, engineering principles, and design criteria are presented as integral parts of the examples. At the end of chapters are references that contain more in-depth physics, technical information, and data; these are referred to throughout the book and used in the examples. COMSOL5 for Engineers could be used to complement another text that provides background training in engineering computations and methods. Exercises are provided at the end of the text for use in adoption situations.Features:*Expands the Finite Element Method (FEM) theory and adds more examples from the original edition*Outlines the new features in COMSOL5, the graphical user interface (GUI), and how to build a COMSOL app for models*Includes apps for selected model examples-with parameterization of these models *Features new and modified, solved model examples, in addition to the models provided in the original edition*Companion disc with executable copies of each model and their related animationseBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

Introduces the latest version of hardware description languages and explains how the languages can be implemented in the design of the digital logic components. In addition to digital design, other examples in the areas of bioengineering and basic computer design are covered.

Rather than concentrating on technical skills, this book focuses on a deeper understanding of the subject by providing many unusual and challenging examples. The basic topics of vector geometry, differentiation and integration in several variables are explored. It also provides numerous computer illustrations and tutorials using MATLAB (R) and Maple (R).

Provides comprehensive coverage for a first course in research and statistical methods in computing, or it can be used as "on the job" self-training for professionals. It shows how to apply these methods to the current problems faced in a variety of fields, but with special emphasis on computer science and information systems.

A book for developers who are looking for an introduction to basic concepts in NLP and machine learning. Numerous code samples and listings are included to support myriad topics. Includes introductory material for NumPy and Pandas, followed by NLP concepts, algorithms and toolkits, machine learning, and NLP applications.

As part of the Pocket Primer Series, this book is designed to introduce the reader to the basic concepts of data science using Python 3 and other computer applications. It is intended to be a fast-paced introduction to some basic features of data analytics and also covers statistics, data visualization, linear algebra, and regular expressions.

Using a case study approach, this book was written for business analysts who wish to increase their skills in extracting answers for text data in order to support business decision making. Most of the exercises use Excel, today's most common analysis tool, and R, a popular analytic computer environment.

Provides a comprehensive, colourful, up-to-date, and accessible presentation of AI without sacrificing theoretical foundations. The book includes numerous examples, applications, full colour images, and human interest boxes to enhance student interest. New chapters on deep learning, robotics and machine learning are included.

Covers the basics of algebra, trigonometry, geometry, and calculus. There are many instances in the book to demonstrate the interplay and interconnectedness of these topics. The book presents definitions and examples throughout for clear, easy learning. Numerous exercises are included at the ends of the chapters.

Covers the econometric methods necessary for a practicing applied economist or data analyst. This requires both an understanding of statistical theory and how it is used in actual applications. Chapters 1 to 9 present the material concerned with basic statistical theory. Chapters 10 to 13 introduce a number of more advanced topics.

This new edition isintended for the undergraduate one or two semester course in modern algebra,also called abstract algebra. It follows a logical path,using the axioms or rules to understand structures such as groups, rings, andfields, and giving the reader examples to help, but leaving many theorems andexamples for them to try. The unique feature of the text is the list of"e;projects"e; at the end of each chapter that can be used in the classroom (withstudents solving them), alone, or in groups with the aid of an instructor. Because of their interactive nature, the projects are designed toreinforce previous concepts.Features:A logic-based presentation, with the structures of groups, rings, and fieldspresented in similar ways through objects, sub-objects, mappings betweenobjects, and quotients of objectsFollows a fairlystraight path without many of the side areas, such as modules, in order tointroduce Galois Theory and solvability of polynomialsProvides numerousexamples, exercises, and the inclusion of "e;projects"e; in each chapterAdds more, varied examples touse when illustrating ideas such as order of elements, direct products, andsubgroupsIncludes new material on thehistory of mathematics with vignettes of mathematicians Provides instructor's resources with solutionsand PowerPoint slides for use as a textbook

Designedfor engineers, mathematicians, computer scientists, financial analysts, andanyone interested in using numerical linear algebra, matrix theory, and gametheory concepts to maximize efficiency in solving applied problems. The book emphasizes the solution of various typesof linear programming problems by using different types of software, butincludes the necessary definitions and theorems to master theoretical aspectsof the topics presented.Features: Emphasizes the solution of various types of linear programming problems by using different kinds of software, e.g., MS-Excel, solutions of LPPs by Mathematica, MATLAB, WinQSB, and LINDO Provides definitions, theorems, and procedures for solving problems and all cases related to various linear programming topics Includes numerous application examples and exercises, e.g., transportation, assignment, and maximizationPresents numerous topics that can be used tosolve problems involving systems of linear equations, matrices, vectors, gametheory, simplex method, and more.

This book lends insight into solving some well-known AI problems using the most efficient problem-solving methods by humans and computers. The book discusses the importance of developing critical-thinking methods and skills, and develops a consistent approach toward each problem. This book assembles in one place a set of interesting and challenging AI-type problems that students regularly encounter in computer science, mathematics, and AI courses. These problems are not new, and students from all backgrounds can benefit from the kind of deductive thinking that goes into solving them. The book is especially useful as a companion to any course in computer science or mathematics where there are interesting problems to solve.Features:*Addresses AI and problem-solving from different perspectives *Covers classic AI problems such as Sudoku, Map Coloring, Twelve Coins, Red Donkey, Cryptarithms, Monte Carlo Methods, Rubik's Cube, Missionaries/Cannibals, Knight's Tour, Monty Hall, and more*Includes a companion disc with source code, solutions, figures, and more*Offers playability sites where students can exercise the process of developing their solutions*Describes problem-solving methods that might be applied to a variety of situations eBook Customers: Companion files are available for downloading with order number/proof of purchase by writing to the publisher at info@merclearning.com.

Wireless Sensor Networks is an essential guide for anyone interested in wireless communications for sensor networks, home networking, or device hacking.It covers a large number of topics encountered in the architecture, application, and recent advancements of a wireless sensor network, including hardware and software architectures, the Internet of Things, routing and security, MANETs, MEMS, Zigbee, TDMA, securing networks for Wi-Fi, ubiquitous sensor networks, underwater, mobile, and multimedia wireless networks. Features:* Includes a wide range of applications to industry, science, transportation, civil infrastructure, and security * Covers the Internet of Things (IoT), MEMS, Zigbee, TDMA, mobile wireless networks, and more * Features article on securing networks for Wi-Fi by the United States Department of Homeland Security (DHS) Cybersecurity Engineering

Tensor analysis is used in engineering and science fields. Calculations of physical quantities in different systems of coordinates and transformations are required in scientific computations. This requires the use of mathematical concepts and application software. This book is designed to provide the necessary definitions, formulations, and procedures for tensor analysis and transformations to help engineers and scientists to perform their calculations in arbitrary coordinates systems.Features:* Application of AR (augmented reality) to enhance static figures* Easy to understand mathematical concepts through numerous figures, solved examples, and exercises* List of gradient-like operators for major systems of coordinates* Companion disc with applications

Data structures provide a means to managing huge amounts of information such as large databases, using SEO effectively, and creating Internet/Web indexing services. This book is designed to present fundamentals of data structures for beginners using the Python programming language in a friendly, self-teaching, format.

In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet).

This laboratory manual is intended for business analysts who wish to increase their skills in the use of statistical analysis to support business decisions. Most of the case studies use Excel. They range from the most basic descriptive analytical techniques to more advanced techniques such as linear regression and forecasting.

Focuses on standards that are relevant to almost all developers working with XML. The book investigates XML technologies that span a wide range of XML applications, not those that are relevant only within a few restricted domains. The book also covers generic supporting technologies that have been layered on top of XML.

Designed to provide the reader with the fundamentals of computers and MIS in an easy to understand, ""self-teaching"" format. The book introduces the major subjects such as hardware components, software applications, detailed information on Microsoft Office, information systems, ERP, CRM, security, business ethics, and cybercrime.

Designed to equip the reader with all of the best followed, efficient, well-structured program logics in the form of flowcharts and algorithms. The basic purpose of flow charting is to create the sequence of steps for showing the solution to problems through arithmetic and/or logical manipulations used to instruct computers.

Because of the rapid growth of cybercrime, cryptography and system security may be the fastest growing technologies in our culture today. This book describes various aspects of cryptography and system security, with a particular emphasis on the use of rigorous security models and practices in the design of networks and systems.

Designed as a self-teaching introduction to the fundamental concepts of artificial intelligence, this book begins with its history, the Turing test, and early applications. Later chapters cover the basics of searching, game playing, and knowledge representation. Expert systems and machine learning are also covered in detail.

Identifies some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. The book provides a general introduction to the various branches of AI, including formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic.

Provides a comprehensive introduction to AutoCAD 2021-2D Drafting. Covering all of the 2D concepts, the book uses both metric and imperial units to illustrate the myriad drawing and editing tools for this application. Use the companion disc to set up drawing exercises and projects and see all of the book's figures in colour.

Provides the reader with basic Python3 programming concepts related to machine learning. Chapters provide an introduction to Python 3, NumPy, and Pandas; introduce the fundamental concepts of machine learning; cover machine learning classifiers, such as logistic regression and k-NN; and explore NLP and RL.