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Intelligent Analytics for Industry 4.0 Applications
1. Covers latest concepts in intelligent analytics for industry 4.0. 2. Presents the applications of intelligent analytics for various industry 4.0 domains. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.
Advanced Computing
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Smart Systems and IoT: Innovations in Computing
The book features original papers from the 2nd International Conference on Smart IoT Systems: Innovations and Computing (SSIC 2019), presenting scientific work related to smart solution concepts. It discusses computational collective intelligence, which includes interactions between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It also describes how to successfully approach various government organizations for funding for business and the humanitarian technology development projects. Thanks to the high-quality content and the broad range of the topics covered, the book appeals to researchers pursuing advanced studies.
26 Years Chapterwise Solved Questions UPSC IAS Pre General Studies Paper I for 2021 Exam
1. The book provides Chapterwise Solved Question of previous 26 Years’ 2. It indicates the nature and trends of the questions that are being asked in UPSC examinations 3. The whole syllabus of the book is divided into 5 main parts 4. It contains Solved Papers [2020-2017] for IAS (PRE) General Studies PAPER – 1 5. This book uses simple language for better understanding Introducing the all new revised edition of “IAS (PRE) General Studies Paper – 1” This book facilitates by giving the deep coverage on all the topics of the syllabus at one place with the conceptual clarity to fulfill the need and demands of the aspirants under different sections. The special exam-oriented structure ha...
Genealogy, Archive, Image
‘Genealogy, Archive, Image’ addresses the ways in which history and tradition are ‘reinvented’ through text, memory and painting. It examines the making of dynastic history in the kingdom of Jhalavad, situated in Gujarat, western India, over the longue durée, from the eleventh to twentieth centuries. The essays critique a collection of contemporary miniature paintings, which chart the dynastic history of Jhalavad’s rulers and the textual and ethnographic archive upon which they are based. A multidisciplinary work, it crosses the boundaries of history, anthropology, folklore and mythology, gender, musicology, literary studies, and visual, film and digital media. The essays draw upon a variety of voices, spanning various religious and ethnic communities, including Hindus, Muslims, Jains, Parsees and Siddhi Africans, and caste identities, such as that of the bard, ballad singer, king, priest, court chronicler, soldier, mason and drummer.
Biomedical Texture Analysis
Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in ra...
Indian Antiquary
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Basic Statistics
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Machine Intelligence and Signal Processing
This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), held at the Indian Institute of Technology, Allahabad, India, on September 7–10, 2019. The book covers the latest advances in the fields of machine learning, big data analytics, signal processing, computational learning theory, and their real-time applications. The topics covered include support vector machines (SVM) and variants like least-squares SVM (LS-SVM) and twin SVM (TWSVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. Further, it discusses the real-time challenges involved in processing big data and adapting the algorithms dynamically to improve the computational efficiency. Lastly, it describes recent developments in processing signals, for instance, signals generated from IoT devices, smart systems, speech, and videos and addresses biomedical signal processing: electrocardiogram (ECG) and electroencephalogram (EEG).
