الصفحة 20
الصفحة 20
Ganong's review of medical physiology
Focuses particularly on including only material that is of the highest yield. We have thoroughly revised the learning objectives for every chapter, reorganized and updated the text to ensure that all objectives are clearly addressed in a logical order, aligned chapter summaries so that the take-home messages quickly address each learning objective in turn, and expanded the number of review questions so that readers also have the ability to check their understanding and retention of every objective covered.
Games and Simulations in Teacher Education
Includes more than twenty computer games and simulations for use in teacher training. Each of these simulations is innovative and presents an opportunity for pre-service teachers to have hands-on experience in an area of need prior to teaching in the classroom. Information on the simulation origins, including theoretical underpinnings, goals, characteristics, relevant research/program evaluation results, discussion of benefits and limitations as well as dissemination, recommended use, scope of practice, etc. of each game or simulation are included. Pre-service and new teachers will gain a number of useful skills through completion of these simulations and higher education faculty and administrators will gain a plethora of research-based and effective training tools for use in their teacher training programs.
Fuzzy Systems Engineering : Theory and Practice
This book is devoted to reporting innovative and significant progress in fuzzy system engineering. Given the maturation of fuzzy logic, this book is dedicated to exploring the recent breakthroughs in fuzziness and soft computing in favour of intelligent system engineering. This monograph presents novel developments of the fuzzy theory as well as interesting applications of the fuzzy logic exploiting the theory to engineer intelligent systems.
Fuzzy sets and their extensions : Representation, aggregation and models : Intelligent systems from decision making to data mining, web intelligence and computer vision
This book presents an up-to-date state of current research in the use of fuzzy sets and their extensions, paying attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modelling and solving problems.
Future data and security engineering ; 7th International conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings
This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, which was supposed to be held in Quy Nhon, Vietnam, in November 2020, but the conference was held virtually due to the COVID-19 pandemic. The 24 full papers (of 53 accepted full papers) presented together with 2 invited keynotes were carefully reviewed and selected from 161 submissions. The other 29 accepted full and 8 short papers are included in CCIS 1306. The selected papers are organized into the following topical headings: security issues in big data; big data analytics and distributed systems; advances in big data query processing and optimization; blockchain and applications; industry 4.0 and smart city: data analytics and security; advanced studies in machine learning for security; and emerging data management systems and applications.
Future data and security engineering : Big data, security and privacy, smart city and industry 4.0 applications ; 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings
This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.* The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering.
Future campus : Design quality in university buildings
Argues that investment in the higher education sector is a driver for intellectual, social and economic development, offering opportunities for positive impacts for the physical environment on the character and performance of higher education. The editor believes that good outcomes result from good design, which should address elements such as learning from best current practice, the importance of clear briefing, good environmental performance, the positive social impacts and, also, the importance of ensuring a beautiful outcome. It has chapters contributed from leading-edge practices, including case studies with highly illustrated project examples.
Fundamentals of Structural Dynamics : Theory and Computation
Emphasizes numerical methods, nonlinear response of structures, and the analysis of continuous systems (e.g., wave propagation). Fundamentals of Structural Dynamics: Theory and Computation builds the theory of structural dynamics from simple single-degree-of-freedom systems through complex nonlinear beams and frames in a consistent theoretical context supported by an extensive set of MATLAB codes that not only illustrate and support the principles, but provide powerful tools for exploration. The book is designed for students learning structural dynamics for the first time but also serves as a reference for professionals throughout their careers.
Fundamentals of periodontal instrumentation and advanced root instrumentation
Walking dental hygiene students step-by-step through the "how to"--not just the "what" and "why"--of using periodontal and root instruments, this 8th Edition of Jill Gehrig's definitive resource features new chapters, new online technique videos, updated coverage of the latest evidence-based techniques and equipment, and an expanded array of online teaching and learning resources.
Fundamentals of pattern recognition and machine learning
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study.
Fundamentals of manufacturing engineering using digital visualization
Offers a guide to core principles and practices of manufacturing engineering. It covers the design of, together with technological and measurement issues for, technical systems. Locating charts and setup schemes describing different machining processes are included. Concepts of product quality, with a focus on accuracy indicators, machining accuracy, roughness, and the impact of surface quality on exploitation properties are also explained. Furthermore, key machining methods, including turning, milling, hole machining, grinding, and gear machining, are analyzed in depth, covering their principles, applications, and techniques. The book is enriched by QR codes, linking to a mobile application presenting additional information about the content, for an interactive and extended learning experience. It also uses illustrations visualized with digital tools to promote a better understanding of the concepts.
Fundamentals of Integrated Design for Sustainable Building
Introduces the technologies and processes of sustainable design and shows how to incorporate sustainable concepts at every design stage. This comprehensive primer takes an active learning approach that keeps students engaged. Includes: Expansive knowledge—from history and philosophy to technology and practice Fully updated international codes, like the CAL code, and current legislations Up-to-date global practices, such as the tools used for Life-Cycle Assessment Thorough coverage of critical issues such as climate change, resiliency, health, and net zero energy building Extensive design problems, research exercise, study questions, team projects, and discussion questions that get students truly involved with the material
Fundamentals of information systems security ; 3rd ed.
Provides a comprehensive overview of the essential concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of the new risks, threats, and vulnerabilities associated with the transition to a digital world. Part 2 presents a high level overview of the Security+ Exam and provides students with information as they move toward this certification. The book closes with information on information security standards, education, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Fundamentals of information systems security ; 4th ed.
Provides a comprehensive overview of the concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of emerging technologies and the risks, threats, and vulnerabilities associated with our digital world. Part II takes a deeper dive into the foundational knowledge areas and functions associated with a career in information security. The book closes with a survey of information security standards, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Fundamentals of image data mining : Analysis, features, classification and retrieval
Presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. Topics and features: Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms / Develops many new exercises (most with MATLAB code and instructions) / Includes review summaries at the end of each chapter / Analyses state-of-the-art models, algorithms, and procedures for image mining / Integrates new sections on pre-processing, discrete cosine transform, and statistical inference and testing / Demonstrates how features like color, texture, and shape can be mined or extracted for image representation / Applies powerful classification approaches: Bayesian classification, support vector machines, neural / networks, and decision trees / Implements imaging techniques for indexing, ranking, and presentation, as well as database visualization
Fundamentals of electrical drives
This brings us to the purpose of this book namely to help students and engineers appreciate and understand the fundamental concepts of modern electrical drives. An interactive learning approach is taken in this text: theory and calculations are augmented by generic models which are transposed to a simulation platform. The 'build and play' method used in this text visualizes the dynamic operation of a comprehensive set of modules ranging from an inductance to a novel 'ideal rotating transformer' (IRTF). This module is at the center of the generic models used in this text to explore the dynamic and steady state operation of grid and converter fed induction, synchronous and DC machines. The section on modulation and control emphasizes the role of power electronics and digital signal processors in drives. Downloadable files that accompany this text have an extensive set of 'build and play' tutorials, in Simulink R° and Caspoc. The latter is a simulation platform which allows direct access to the 'build and play' modules, without further licensing needs. All figures in this text are included in the downloadable files in order to help with the preparation of customized Power Point type lecture material.
Fundamentals of Clinical Data Science
This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.
Fundamentals of building performance simulation
Pares the theory and practice of a multi-disciplinary field to the essentials for classroom learning and real-world applications. Authored by a veteran educator and researcher, this textbook equips graduate students and emerging and established professionals in engineering and architecture to predict and optimize buildings’ energy use. It employs an innovative pedagogical approach, introducing new concepts and skills through previously mastered ones and deepening understanding of familiar themes by means of new material. Covering topics from indoor airflow to the effects of the weather, the book’s 19 chapters empower learners to: Understand the models and assumptions underlying popular BPS tools ; Compare models, simulations, and modelling tools and make appropriate selections ; Recognize the effects of modelling choices and input data on simulation predictions
Fundamentals of Artificial Intelligence
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
