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Handbook of research on smart technology models for business and industry / J. Joshua Thomas, Ugo Fiore, Gilberto Perez Lechuga, Valeriy Kharchenko and Pandian Vasant.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Automation.
- Artificial intelligence--Industrial applications.
- Artificial intelligence.
- Big data.
- Business--Data processing.
- Business.
- Physical Description:
- 29 PDFs (491 pages)
- Place of Publication:
- United States of America : IGI Global, 2020.
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "This book discusses relevant abstract frameworks and the latest experimental research findings in theory, mathematical models, software applications, and prototypes in the area of smart technologies"-- Provided by publisher.
- Contents:
- Chapter 1. Decentralized cryptocurrency security and financial implications: the bitcoin paradigm
- Chapter 2. Technique of plant electrical stimulation by weak electric currents
- Chapter 3. IoT limitations and concerns relative to 5g architecture
- Chapter 4. Calculation of receipt of renewable energy resources and operation modes of power plants
- Chapter 5. Cooperative caching in wireless mesh networks
- Chapter 6. Smart computerized essay scoring using deep neural networks for universities and institutions
- Chapter 7. Application of machine learning algorithms in stock market prediction: a comparative analysis
- Chapter 8. Wind energy perspectives in Myanmar
- Chapter 9. Improved distributed energy systems based on the end-user consumption profile: a review on how consumers can drive the energy transition
- Chapter 10. Selection of an information source and methodology for calculating solar resources of the Kyrgyz Republic
- Chapter 11. Smart tourist destination management using demand forecasting techniques: using big data for destination demand forecasting as part of a destination management system
- Chapter 12. Development of DNN model for predicting surge pressure gradient during tripping operations
- Chapter 13. A cloud computing-based model for wildlife conservation and health care improvement in endangered wild life animals
- Chapter 14. Modelling and forecasting portfolio inflows: a comparative study of support vector regression, artificial neural networks, and structural VAR models
- Chapter 15. Meta-heuristic approaches for the optimization of hydropower energy: a review
- Chapter 16. Wireless technology of electric power transmission using non-metal conductive media
- Chapter 17. Development of Box Behnken design to predict the optimum operating condition of rectangular sheet membrane to increase permeate flux
- Chapter 18. Computational intelligence in the reversible data-hiding processes using radon transform
- Chapter 19. Genetic algorithm and particle swarm optimization techniques in supply chain design problems: a Survey.
- Notes:
- Description based on print version record.
- Includes index.
- Includes bibliographical references and index.
- ISBN:
- 1-7998-3646-0
- OCLC:
- 1140373302
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