Описание: Provides a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. The book provides a comprehensive primer and overview of the field (and related fields), and discusses the field as it applies to financial institutions.
Описание: Provides a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. The book provides a comprehensive primer and overview of the field (and related fields), and discusses the field as it applies to financial institutions.
Описание: Data science revolves around two giants, which are big data analytics and deep learning. It is becoming challenging to handle and retrieve useful information due to how fast data is expanding. This book presents the technologies and tools to simplify and streamline the formation of big data along with deep learning systems.
Автор: Perros, Harry G. Название: An Introduction to IoT Analytics ISBN: 0367686317 ISBN-13(EAN): 9780367686314 Издательство: Taylor&Francis Рейтинг: Цена: 7348.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers techniques that can be used to analyze data from IoT sensors and also addresses questions regarding the performance of an IoT system. It strikes a balance between practice and theory so that one can learn how to apply these tools in practice with a good understanding of their inner workings.
Автор: Kumar, Pardeep, Singh, Amit Kumar Название: Machine Learning for Intelligent Multimedia Analytics ISBN: 9811594910 ISBN-13(EAN): 9789811594915 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identification of Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.
Автор: Edited By G. Rajesh, X. Mercilin Raajini, Hien Dan Название: Industry 4.0 interoperability, analytics, security, and case studies / ISBN: 0367501120 ISBN-13(EAN): 9780367501129 Издательство: Taylor&Francis Рейтинг: Цена: 25265.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: All over the world, vast research is in progress on the domain of industry 4.0 and related techniques. Industry 4.0 is expected to have a very high impact on labor markets, global value chains, education, health, environment, and many social economic aspects.
Автор: Machado Josй, Peixoto Hugo, Sousa Regina Название: Big Data Analytics and Artificial Intelligence in the Healthcare Industry ISBN: 1799891720 ISBN-13(EAN): 9781799891727 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 95006.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Focuses on technologies and emerging topics regarding innovative solutions applied to the healthcare industry, including Big Data and Artificial Intelligence for enhancing human quality of life, as well as related challenges. The book also presents research on theoretical, methodological, and technological developments, and new applications.
Описание: In todays world, there is nothing permanent except change. We have seen the advent of the Fourth Industrial Revolution or Industry 4.0 over the last couple of years. Now is a perfect time to think about Industry 4.0 technology and leverage its advantages for the benefit of mankind. It cannot prevent the onset of pandemics; however, it can help and has helped prevent spread, educate, warn, and empower those on the ground to be aware of the situation, and noticeably lessen the impact. Industry 4.0 can fulfil the requirements of customised facemasks, gloves, and collect information for healthcare systems for proper controlling and treating of COVID-19 patients. Major technologies of Industry 4.0 are required to solve the problems of this virus. It is useful to provide day-to-day updates of an infected patient, area-wise, age-wise and state-wise with proper surveillance systems. We also believe that the proper implementation of these technologies would help to enhance education and communication regarding public health. These Industry 4.0 technologies could provide a lot of innovative ideas and solutions for fighting local and global medical emergencies. Today, we need to focus on technologies like mobile, cloud, analytics, robotics, AI/ML, 4G/5G, and high-speed internet; it has become possible to test several innovative approaches to pandemic response. The objective of this book is to bring together leading academic scientists, research scholars and professionals to exchange and share their experiences and research results in Industry 4.0 and Intelligent Business Analytics. This research-oriented book will provide a common platform to all researchers in this domain. It covers different verticals of industry and academics, which is an added advantage of this book.
Автор: Himansu Das; Rabindra K. Barik; Harishchandra Dube Название: Cloud Computing for Geospatial Big Data Analytics ISBN: 3030033589 ISBN-13(EAN): 9783030033583 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.
Описание: This volume is a guide for scholars, policymakers, attorneys, teachers, judges, and students interested in the theories, policies, and doctrines of copyright law. Featuring experts from around the world, the handbook offers a systematic, comparative study of copyright in major jurisdictions including the United States, the European Union, and China.
Автор: Mohanty Sachi Nandan, Chatterjee Jyotir Moy, Mangla Monika Название: Machine Learning Approach for Cloud Data Analytics in Iot ISBN: 1119785804 ISBN-13(EAN): 9781119785804 Издательство: Wiley Рейтинг: Цена: 29771.00 р. Наличие на складе: Поставка под заказ.
Описание: Im Zeitalter des Internet of Things (IoT) erzeugen Edge-Gerдte in jedem Sekundenbruchteil gigantische Datenmengen. Dabei besteht das Hauptziel dieser Netzwerke darin, aus den gesammelten Daten sinnvolle Informationen abzuleiten. Gleichzeitig werden gewaltige Datenmengen in die Cloud Г1/4bertragen, was extrem teuer und zeitaufwдndig ist. Es ist somit notwendig, effiziente Mechanismen fГ1/4r die Verarbeitung dieser gewaltigen Datenmengen zu entwickeln, und dafГ1/4r sind effiziente Datenverarbeitungstechniken erforderlich. Nachhaltige Paradigmen wie Cloud Computing und Fog Computing tragen zu einem geschickten Umgang mit Themen wie Leistung, Speicher- und Verarbeitungskapazitдten, Wartung, Sicherheit, Effizienz, Integration, Kosten, Energieverbrauch und Latenzzeiten bei. Allerdings werden ausgefeilte Analysetools benцtigt, um die Anfragen in einer optimalen Zeit zu bearbeiten. Daher wird derzeit eifrig an der Entwicklung eines effektiven und effizienten Rahmens geforscht, um den grцГtmцglichen Nutzen zu erhalten. Bei der Verarbeitung der gewaltigen Datenmengen steht das maschinelle Lernen besonders hoch im Kurs und wird in zahlreichen Disziplinen angewandt, auch in den sozialen Medien. In Machine Learning Approach for Cloud Data Analytics in IoT werden sдmtliche Aspekte des IoT, des Cloud Computing und der Datenanalyse ausfГ1/4hrlich erlдutert und aus verschiedenen Perspektiven betrachtet. Das Buch prдsentiert den neuesten Stand der Forschung und fortschrittliche Themen. So erhalten die Leserinnen und Leser aktuelle Informationen und kцnnen das gesamte Spektrum der Anwendungen von IoT, Cloud Computing und Datenanalyse erfassen.
Описание: Applies AI in edge analytics for healthcare applications, analyses the impact of tools and techniques in edge analytics for healthcare, and provides security solutions for edge analytics in healthcare IoT. The book provides details on how to apply different analytical methods and tools for analytics of healthcare applications devised using IoT.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru