Deep Learning-Based Face Analytics, Ratha Nalini K., Patel Vishal M., Chellappa Rama
Автор: Bruce Foster, Andrew Williamson Название: Harry potter: a pop-up book: based on the film phenomenon ISBN: 1608870081 ISBN-13(EAN): 9781608870080 Издательство: Insight Editions Рейтинг: Цена: 5489.00 р. Наличие на складе: Есть (более 5-х шт.) Описание: The first ever illustrated Harry Potter pop-up book, based on the creative work of the most successful film franchise in history, Harry Potter: The Pop Up Book is the must have pop-up gift for Potter fans and aspiring wizards! This collectible Harry Potter pop-up book, based on the creative development of the films, features exquisite original artwork by Andrew Williamson, concept artist for all eight movies. With dynamic pop-ups animating memorable moments and locations -- like the Triwizard Tournament, Diagon Alley, and Hogwarts Castle -- Harry Potter: A Pop-Up Book offers a 3-D glimpse into the amazing world, as seen in the films. This deluxe book will delight Harry Potter fans with dynamic pop-up ingenuity, insights from the creative team who turned JK Rowling's stories into movie magic, fascinating facts about the magical universe seen in the movies, and Harry Potter memories and memorabilia packed into every page.
Автор: Straus, Sharon E. Название: Evidence-Based Medicine 5th Edition ISBN: 0702062960 ISBN-13(EAN): 9780702062964 Издательство: Elsevier Science Рейтинг: Цена: 5893.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Now in its fifth edition, this classic introduction to the practice and teaching of evidence-based medicine is written for busy clinicians at any stage of their career who want to learn how to practise and teach evidence-based medicine (EBM). It is short and practical, emphasizing direct clinical application of EBM and tactics to practise and teach EBM in real-time.
The online toolkit includes Critical appraisal worksheets, Educational prescription, Pocket Cards, EBM calculators, Educational Prescriptions, Clinical Questions log, Self evaluations.
Thoroughly updated with examples from latest evidence/studies.
Revised electronic ancillaries, now available online
Expanded coverage of audit and measuring quality improvement.
Teaching moments now indexed for easy reference.
New contributing authors Reena Pattani and Areti Angeliki Veroniki
Автор: Stimmel Carol L. Название: Big Data Analytics Strategies for the Smart Grid ISBN: 1482218283 ISBN-13(EAN): 9781482218282 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.
Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market. The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls. Discussing security and data privacy, it explores the role of the utility in protecting their customers' right to privacy while still engaging in forward-looking business practices. The book includes discussions of:
SAS for asset management tools
The AutoGrid approach to commercial analytics
Space-Time Insight's work at the California ISO (CAISO)
This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs.
At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.
Описание: A compendium of health care quantitative techniques based in Excel Analytics and Decision Support in Health Care Operations is a comprehensive introductory guide to quantitative techniques, with practical Excel-based solutions for strategic health care management.
Описание: Risk-based policing is the latest advancement in the long history of policing innovations, where research and planning have combined to manage crime risks, prevent crime, and enhance public safety. In Risk-Based Policing the authors share case studies from different agencies to demonstrate how focusing police resources at risky places, based on smart uses of data and strong analytical work, can address the worst effects of disorder and crime while improving public safety and community relations. Topics include the role of big data; the evolution of modern policing; dealing with high-risk targets; designing, implementing, and evaluating risk-based policing strategies; and the role of multiple stakeholders in risk-based policing. Case studies explore cities such as Colorado Springs, Glendale, Newark, Kansas City, Atlantic City, and others. The book also demonstrates how Risk Terrain Modeling (RTM) can be extended to offer a more comprehensive view of prevention and deterrence.
Автор: Ebrahimnejad Название: Fuzzy Sets-Based Methods and Techniques for Modern Analytics ISBN: 3319739026 ISBN-13(EAN): 9783319739021 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book offers a comprehensive, practice-oriented introduction to the field of fuzzy mathematical programming (FMP) as key topic of modern analytics.
Автор: Ali Ebrahimnejad; Jos? Luis Verdegay Название: Fuzzy Sets-Based Methods and Techniques for Modern Analytics ISBN: 3030088820 ISBN-13(EAN): 9783030088828 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Поставка под заказ.
Описание: The book offers a comprehensive, practice-oriented introduction to the field of fuzzy mathematical programming (FMP) as key topic of modern analytics. FMP plays a fundamental role in dealing with a varied range of problems, such as those concerning smart cities, sustainability, and renewable energies. This book includes an introduction to the basic concepts, together with extensive information on the computational-intelligence-based optimization models and techniques that have been used to date. Special emphasis is given to fuzzy transportation problems. The book is a valuable resource for researchers, data scientists and practitioners dealing with computational-intelligence-based optimization models for analytics.
Автор: Singh, Sanjay Kumar Название: Iot Based Data Analytics For The Healthcare Industry ISBN: 0128214724 ISBN-13(EAN): 9780128214725 Издательство: Elsevier Science Рейтинг: Цена: 16505.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization.
The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.
Описание: This practical book provides data scientists and developers with blueprints for best practice solutions to common tasks in text analytics and natural language processing. Authors Jens Albrecht, Sidharth Ramachandran, and Christian Winkler provide real-world case studies and detailed code examples in Python to help you get started quickly.
Автор: Miller Tan, Liberatore Matthew J. Название: Logistics Management: An Analytics-Based Approach ISBN: 1949443841 ISBN-13(EAN): 9781949443844 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4012.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Logistics professionals must utilize a broad array of analytic techniques and approaches for decision-making. Effective use of analytics requires an understanding of both fundamental and advanced logistics decision-making techniques and methodologies. Further, logistics professionals must organize and view these analytics-based decision support tools through well-structured planning frameworks.
In this book, we illustrate and explain a wide range of practical logistics strategies and analytic techniques to facilitate decision-making across functions such as manufacturing, warehousing, transportation and inventory management. We also describe how to organize these analytics-based tools and strategies through logistics frameworks that span strategic, tactical and operational planning and scheduling decisions.
This book is intended for logistics professionals to use as a reference document that offers ideas and guidance for addressing specific logistics management decisions and challenges, and it will also serve as a valuable resource or secondary text for graduate and advanced undergraduate students.
Автор: Matthew Liberatore, Tan Miller Название: Supply Chain Planning: An Analytics-based Approach ISBN: 195334920X ISBN-13(EAN): 9781953349200 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4012.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The critical role that supply chain planning contributes to a firm’s financial well-being has never been greater. All too often, however, considerable managerial resources are directed toward planning activities with minimal results. In this book, we present proven, practical management frameworks used by the authors to support supply chain operations management and planning in private industry. These frameworks provide methodologies for managing critical activities such as supply chain strategic planning and project selection, manufacturing and distribution planning, performance measurement, supply chain risk management, and customer logistics and inventory deployment. The book is intended for supply chain professionals, as well as for graduate and advanced undergraduate students. Practitioners will obtain valuable new insights and examples of implementable frameworks and methods for managing their supply chain functions and organizations. Students will develop an understanding of real-world approaches for supply chain planning, decision support, and many other key activities.
Автор: Nanhay Singh, Omprakash Kaiwartya, Ram Shringar Rao, Sanjoy Das Название: Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks ISBN: 1799827658 ISBN-13(EAN): 9781799827658 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 24948.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Vehicular traffic congestion and accidents remain universal issues in today's world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.
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