K Soumya (206 results)

Condition: Good. Good condition. Volume 2. A copy that has been read but remains intact. May contain markings such as bookplates, stamps, limited notes and highlighting, or a few light stains.

Condition: New.

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Condition: New.

Soft cover. Condition: New. Information Systems and Traditional Types: Emphasizing Supporting Systems and Technologies, Cloud Computing: A Tool for Virtualization and Remote based IT Systems, Internet of Things (IoT): An Overview, Cloud Computing: Architecture and its Security Issues, Opinion Analysis: Measure emotion and polarity using Supervised Machine Learning approach, An Approach for Modelling a Common Network for Autonomous Vehicles, Security Issues in the Context of Cloud Computing, A Community Detection Algorithm for Multilayer Networks using Data Fusion, Importance of Carbon Nanotubes (CNT) in Nanotechnology: Its Properties and Applications, National Knowledge Network (NKN) with the aspects on basic Functions, Structure and ServicesAn Overview, Industry 4.0: The Overview and Future, Philosophy of Information: An Overview, Digital Marketing- An Overview.…

N.A. Condition: New. ISBN:9789390620708.

Soft cover. Condition: New. Contents: 1. Introduction to control system. 2. Mathematical models of physical systems. 3. Block diagram and signal flow graph. 4. Time response of feedback control systems. 5. Stability analysis. 6. Root locus technique. 7. Frequency response analysis. 8. Stability in frequency domain. 9. Introduction to design. 10. State variable analysis and design. Index. This book provides a comprehensive coverage of the subject for undergraduate students (BE/BTech) of engineering disciplines. Relevant numerical questions of GATE have been solved to make the book suitable for the students appearing in various entrance examinations. All the solved and unsolved problems in this book are tested and illustrate the topics thoroughly. Emphasis is laid on the pedagogical aspects of the subject. Spread in 10 chapters, the book broadly deals with: basic concepts of control systems input-output relationship of the system mathematical modeling of physical systems including mechanical and electrical systems, force-voltage and force-current analogy systems block diagram representation of systems time response analysis stability of control systems and Routh-Hurwitz criteria root locus method frequency domain analysis polar plot compensators and PI, PD, PID controllers state variable approach.…

Condition: As New. Unread book in perfect condition.

Condition: New.

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Hardback. Condition: New.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New. In English.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: New. In English.

Condition: New.

Paperback. Condition: Brand New. 60 pages. 8.66x5.91x0.14 inches. In Stock.

Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock.

Condition: New.

Condition: New. pp. 102.

Condition: As New. Unread book in perfect condition.

Condition: New.

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Condition: New.

Paperback. Condition: Brand New. 102 pages. 9.00x6.00x0.25 inches. In Stock.

Paperback. Condition: Brand New. 8.66x5.87x0.28 inches. In Stock.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough tensor deep staking networks (FRTDSN) with structured, hierarchical rough Bayesian (HRB) models. FRTDSN is formalized through TDSN and fuzzy rough sets, and HRB is formed by incorporating probabilistic rough sets in structured hierarchical Bayesian model. Then FRTDSN is integrated with HRB to form the compound FRTDSN-HRB model. HRB enhances the prediction accuracy of FRTDSN-HRB model. The experimental datasets are adopted from Korean construction companies and American and European non-financial companies, and the research presented focuses on the impact of choice of cut-off points, sampling procedures and business cycle on the accuracy of bankruptcy prediction models. The bookalso highlights the fact that misclassification can result in erroneous predictions leading to prohibitive costs to investors and the economy, and shows that choice of cut-off point and sampling procedures affect rankings of various models. It also suggests that empirical cut-off points estimated from training samples result in the lowest misclassification costs for all the models. The book confirms that FRTDSN-HRB achieves superior performance compared to other statistical and soft-computing models. The experimental results are given in terms of several important statistical parameters revolving different business cycles and sub-cycles for the datasets considered and are of immense benefit to researchers working in this area.…