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Intelligent Data Engineering and Analytics, Satapathy


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Цена: 214280.00T
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Автор: Satapathy
Название:  Intelligent Data Engineering and Analytics
ISBN: 9789811666261
Издательство: Springer
Классификация:

ISBN-10: 9811666261
Обложка/Формат: Soft cover
Страницы: 567
Вес: 0.89 кг.
Дата издания: 02.03.2023
Серия: Smart Innovation, Systems and Technologies
Язык: English
Издание: 1st ed. 2022
Иллюстрации: 80 tables, color; 189 illustrations, color; 111 illustrations, black and white; xviii, 567 p. 300 illus., 189 illus. in color.
Размер: 235 x 155
Читательская аудитория: Professional & vocational
Основная тема: Engineering
Подзаголовок: Proceedings of the 9th international conference on frontiers in intelligent computing: theory and applications (ficta 2021)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25 – 26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines.
Дополнительное описание: Automated Flower Species Identification by using Deep convolution neural network.- Information Retrieval for Cloud Forensics.- Machine Translation System Combination with Enhanced Alignments using Word Embeddings.- Geometry Based Machining Feature Retriev


Intelligent Systems And Learning Data Analytics In Online Education, 2021

Автор: Caballe, Santi
Название: Intelligent Systems And Learning Data Analytics In Online Education, 2021
ISBN: 0128234105 ISBN-13(EAN): 9780128234105
Издательство: Elsevier Science
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Цена: 114530.00 T
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Описание:

Intelligent Systems and Learning Data Analytics in Online Education provides novel artificial intelligence (AI) and analytics-based methods to improve online teaching and learning. This book addresses key problems such as attrition and lack of engagement in MOOCs and online learning in general.

This book explores the state of the art of artificial intelligence, software tools and innovative learning strategies to provide better understanding and solutions to the various challenges of current e-learning in general and MOOC education. In particular, Intelligent Systems and Learning Data Analytics in Online Education shares stimulating theoretical and practical research from leading international experts. This publication provides useful references for educational institutions, industry, academic researchers, professionals, developers, and practitioners to evaluate and apply.


Introduction to Intelligent Surveillance

Автор: Wei Qi Yan
Название: Introduction to Intelligent Surveillance
ISBN: 3030107124 ISBN-13(EAN): 9783030107123
Издательство: Springer
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Цена: 55890.00 T
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Описание: This practically-oriented textbook introduces the fundamentals of designing digital surveillance systems powered by intelligent computing techniques. The text offers comprehensive coverage of each aspect of the system, from camera calibration and data capture, to the secure transmission of surveillance data, in addition to the detection and recognition of individual biometric features and objects. The coverage concludes with the development of a complete system for the automated observation of the full lifecycle of a surveillance event, enhanced by the use of artificial intelligence and supercomputing technology.This updated third edition presents an expanded focus on human behavior analysis and privacy preservation, as well as deep learning methods.Topics and features: contains review questions and exercises in every chapter, together with a glossary; describes the essentials of implementing an intelligent surveillance system and analyzing surveillance data, including a range of biometric characteristics; examines the importance of network security and digital forensics in the communication of surveillance data, as well as issues of issues of privacy and ethics; discusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognition; reviews the use of artificial intelligence for automated monitoring of surveillance events, and decision-making approaches to determine the need for human intervention; presents a case study on a system that triggers an alarm when a vehicle fails to stop at a red light, and identifies the vehicle’s license plate number; investigates the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing.This concise and accessible work serves as a classroom-tested textbook for graduate-level courses on intelligent surveillance. Researchers and engineers interested in entering this area will also find the book suitable as a helpful self-study reference.

Big Data Analytics for Cyber-Physical System in Smart City

Автор: Mohammed Atiquzzaman; Neil Yen; Zheng Xu
Название: Big Data Analytics for Cyber-Physical System in Smart City
ISBN: 9811525676 ISBN-13(EAN): 9789811525674
Издательство: Springer
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Цена: 465840.00 T
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Описание: This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28-29 December 2019.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation

Автор: Editors: Deo, R., Samui, P., Kisi, O., Zaher, Y.
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation
ISBN: 9811557713 ISBN-13(EAN): 9789811557712
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics

Автор: Malik Hasmat, Fatema Nuzhat, Alzubi Jafar A.
Название: AI and Machine Learning Paradigms for Health Monitoring System: Intelligent Data Analytics
ISBN: 9813344113 ISBN-13(EAN): 9789813344112
Издательство: Springer
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book embodies principles and applications of advanced soft computing approaches in engineering, healthcare and allied domains directed toward the researchers aspiring to learn and apply intelligent data analytics techniques.

Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications

Автор: Kumar Pardeep, Singh Amit Kumar
Название: Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications
ISBN: 9811594945 ISBN-13(EAN): 9789811594946
Издательство: Springer
Рейтинг:
Цена: 158380.00 T
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.

Metabolic and bioenergetic drivers of neurodegenerative disease: neurodegenerative disease research and commonalities with metabolic diseases

Автор: Mio, Dr. Jeffery Scott (professor Of Psychology And Sociology, Professor Of Psychology And Sociology, California State Polytechnic University) Barker,
Название: Metabolic and bioenergetic drivers of neurodegenerative disease: neurodegenerative disease research and commonalities with metabolic diseases
ISBN: 1032108231 ISBN-13(EAN): 9781032108230
Издательство: Taylor&Francis
Рейтинг:
Цена: 153120.00 T
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Описание: This book deals with the advancements made in the verticals of design approach using emerging technologies in artificial intelligence. It intends to deal with incorporating use cases, industry studies and research papers related to application of computer technique in the both the industry verticals.

Intelligent Systems

Автор: Lal Chowdhary, Chiranji
Название: Intelligent Systems
ISBN: 1774634791 ISBN-13(EAN): 9781774634790
Издательство: Taylor&Francis
Рейтинг:
Цена: 84710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.

Recent Developments in Machine Learning and Data Analytics

Автор: Kalita
Название: Recent Developments in Machine Learning and Data Analytics
ISBN: 9811312796 ISBN-13(EAN): 9789811312793
Издательство: Springer
Рейтинг:
Цена: 139750.00 T
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Описание: This book presents high-quality papers from an international forum for research on computational approaches to learning. Further, it features work that shows how to apply learning methods to solve important application problems as well as how machine learning research is conducted.

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation

Автор: Deo Ravinesh C., Samui Pijush, Kisi Ozgur
Название: Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation
ISBN: 9811557748 ISBN-13(EAN): 9789811557743
Издательство: Springer
Цена: 167700.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book highlights cutting-edge applications of machine learning techniques for disaster management by monitoring, analyzing, and forecasting hydro-meteorological variables.

Smart Cities: A Data Analytics Perspective

Автор: Khan Mohammad Ayoub, Algarni Fahad, Quasim Mohammad Tabrez
Название: Smart Cities: A Data Analytics Perspective
ISBN: 3030609243 ISBN-13(EAN): 9783030609245
Издательство: Springer
Рейтинг:
Цена: 158380.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book offers practical as well as conceptual knowledge of the latest trends, tools, techniques and methodologies of data analytics in smart cities. The smart cities allow different kinds of wireless sensors to gather massive amounts, full speed and a broad range of city data.

Privacy and Data Protection Challenges in the Distributed Era

Автор: Politou
Название: Privacy and Data Protection Challenges in the Distributed Era
ISBN: 3030854450 ISBN-13(EAN): 9783030854454
Издательство: Springer
Рейтинг:
Цена: 130430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the conflicts arising from the implementation of privacy principles enshrined in the GDPR, and most particularly of the ``Right to be Forgotten'', on a wide range of contemporary organizational processes, business practices, and emerging computing platforms and decentralized technologies. Among others, we study two ground-breaking innovations of our distributed era: the ubiquitous mobile computing and the decentralized p2p networks such as the blockchain and the IPFS, and we explore their risks to privacy in relation to the principles stipulated by the GDPR. In that context, we identify major inconsistencies between these state-of-the-art technologies with the GDPR and we propose efficient solutions to mitigate their conflicts while safeguarding the privacy and data protection rights. Last but not least, we analyse the security and privacy challenges arising from the COVID-19 pandemic during which digital technologies are extensively utilized to surveil people’s lives.


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