Smart Computing and Self-Adaptive Systems - Info and Reading Options
By Simar Preet Singh, Arun Solanki, Anju Sharma, Zdzislaw Polkowski and Rajesh Kumar
"Smart Computing and Self-Adaptive Systems" was published by Taylor & Francis Group in 2021 - Boca Raton, FL, it has 288 pages and the language of the book is English.
“Smart Computing and Self-Adaptive Systems” Metadata:
- Title: ➤ Smart Computing and Self-Adaptive Systems
- Authors: Simar Preet SinghArun SolankiAnju SharmaZdzislaw PolkowskiRajesh Kumar
- Language: English
- Number of Pages: 288
- Publisher: Taylor & Francis Group
- Publish Date: 2021
- Publish Location: Boca Raton, FL
“Smart Computing and Self-Adaptive Systems” Subjects and Themes:
- Subjects: ➤ Mathematics - Expert systems (Computer science) - Adaptive computing systems - Artificial intelligence - Industrial applications - Expert Systems - Systèmes experts (Informatique) - Systèmes adaptatifs (Informatique) - Intelligence artificielle - Applications industrielles - COMPUTERS / Machine Theory - COMPUTERS / Computer Engineering - TECHNOLOGY / Electricity
Edition Identifiers:
- The Open Library ID: OL33949254M - OL24872379W
- ISBN-13: 9781000509977 - 9781003156123 - 9781000509946
- All ISBNs: 9781000509977 - 9781003156123 - 9781000509946
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"Smart Computing and Self-Adaptive Systems" Description:
Open Data:
Chapter 1. Using Luong and Bahdanau Attention Mechanism on the Long Short Term Memory Networks - A COVID-19 Impact Prediction Case Study. Chapter 2. A Novel Missing Data Imputation Algorithm for Deep Learning-Based Anomaly Detection System in IIoT Networks. Chapter 3. Internet of Things: A Concept, implementations & Applications. Chapter 4. Output Oriented Multi-Pane Mail Booster: Data Crawling And Results In All Category Panes of a Mail. Chapter 5. Eyesight Test through Remote Virtual doctor using IoT. Chapter 6. Recent Trends and Advances in Deep Learning-based Internet of Things. Chapter 7. Prediction and Classification analysis of Type-2 Diabetes using Machine Learning Approaches. Chapter 8. Internet of Thing Based Monitoring Systems and Their Applications. Chapter 9. A PROGRESSIVE METHOD TO MONITOR POWER USING IOT. Chapter 10. Cognitive Computing Powered, NLP Based, Autonomous Question-Answering System. Chapter 11. Smart cities and industry 4.0. Chapter 12. Deep Learning Approach in Malware Hunting. Chapter 13. Prediction of Breast and lung Cancer, Comparative Review and Analysis Using Machine Learning Techniques
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