Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing
Herausgeber: Dwived, Jaiprakash Narain; Prakash, Vijaya; Kulkarni, Shrikaant; William, P.
Leveraging Artificial Intelligence in Cloud, Edge, Fog and Mobile Computing
Herausgeber: Dwived, Jaiprakash Narain; Prakash, Vijaya; Kulkarni, Shrikaant; William, P.
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This book examines harnessing the potential of AI in cloud, edge and mobile computing. It covers devices, architecture, networking in cloud and edge environments in isolation as well as by using both of them in tandem. It also presents ways to enhance response time, stability, agility, computational power, and lowering latency.
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This book examines harnessing the potential of AI in cloud, edge and mobile computing. It covers devices, architecture, networking in cloud and edge environments in isolation as well as by using both of them in tandem. It also presents ways to enhance response time, stability, agility, computational power, and lowering latency.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Produktdetails
- Produktdetails
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 352
- Erscheinungstermin: 12. Juni 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032699523
- ISBN-10: 1032699523
- Artikelnr.: 72596917
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Taylor & Francis Ltd
- Seitenzahl: 352
- Erscheinungstermin: 12. Juni 2025
- Englisch
- Abmessung: 234mm x 156mm
- ISBN-13: 9781032699523
- ISBN-10: 1032699523
- Artikelnr.: 72596917
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Dr. Shrikaant Kulkarni is an Adjunct Professor in the Science & Technology department, Vishwakarma University, Pune, India. Dr. P. William is the Dean of Research & Development and an a assistant professor in the Department of Information Technology, Sanjivani College of Engineering, Savitribai Phule Pune University, India. Dr. Vijaya Prakash is a Professor, Department of Computer Science and Engineering, SR University, Warangal, India. Dr. Jaiprakash Narain Dwivedi is an associate professor at the IT Department, Parul Institute of Engineering and Technology, Faculty of Engineering and Technology, Parul University, India.
I. Harnessing the Potential of AI in Cloud Computing 1. Working Towards a
Comprehensive Approach for Ensuring Security and Privacy in Artificial
Intelligence 2. Knowledge Modelling and the Significance of Ontology in
Educational Domain II. Using AI to the Advantage of Fog Computing 3.
Security and Privacy Analysis Using AI-Based Machine Learning Methods 4.
Security and Privacy in Advanced AI 5. Evolution of Artificial
Intelligence: Research Topics, Trends, and Future Directions III.
Leveraging the Potential of AI in Edge Computing 6. Edge AI Vis-Vis Cloud
Computing 7. An Intelligent Fault Predictive System in the Industrial
Internet of Things that Uses Condition Monitoring IV. Advancing AI in
Mobile Computing 8. Plantae: Mobile Interface for Plant Leaf Disease
Detection and Prevention System 9. Captureshield: A Deep Dive into
Screenshot Security 10. Edge-Cloud Computing for Data Analytics: Embedding
Intelligence with Deep Learning 11. Algorithms for Machine Learning in Big
Data Analytics V. Case Studies and Applications of AI in Computing 12.
Machine Learning Algorithms and Sustainable AI-Driven IoT Systems: Paving
the Way towards Environmental Stewardship 13. Elevating Education:
Exploring Chatbots and Their Significance in the Academic Realm 14. Green
Energy Management for Smart Homes that Leverages Big Data Analytics and IoT
15. Collaborative Computing of Big Data and Internet of Things Applications
in Smart Environments 16. A Systematic and Analytical Review on Drowsiness
Detection System-Based Real-Time Application
Comprehensive Approach for Ensuring Security and Privacy in Artificial
Intelligence 2. Knowledge Modelling and the Significance of Ontology in
Educational Domain II. Using AI to the Advantage of Fog Computing 3.
Security and Privacy Analysis Using AI-Based Machine Learning Methods 4.
Security and Privacy in Advanced AI 5. Evolution of Artificial
Intelligence: Research Topics, Trends, and Future Directions III.
Leveraging the Potential of AI in Edge Computing 6. Edge AI Vis-Vis Cloud
Computing 7. An Intelligent Fault Predictive System in the Industrial
Internet of Things that Uses Condition Monitoring IV. Advancing AI in
Mobile Computing 8. Plantae: Mobile Interface for Plant Leaf Disease
Detection and Prevention System 9. Captureshield: A Deep Dive into
Screenshot Security 10. Edge-Cloud Computing for Data Analytics: Embedding
Intelligence with Deep Learning 11. Algorithms for Machine Learning in Big
Data Analytics V. Case Studies and Applications of AI in Computing 12.
Machine Learning Algorithms and Sustainable AI-Driven IoT Systems: Paving
the Way towards Environmental Stewardship 13. Elevating Education:
Exploring Chatbots and Their Significance in the Academic Realm 14. Green
Energy Management for Smart Homes that Leverages Big Data Analytics and IoT
15. Collaborative Computing of Big Data and Internet of Things Applications
in Smart Environments 16. A Systematic and Analytical Review on Drowsiness
Detection System-Based Real-Time Application
I. Harnessing the Potential of AI in Cloud Computing 1. Working Towards a
Comprehensive Approach for Ensuring Security and Privacy in Artificial
Intelligence 2. Knowledge Modelling and the Significance of Ontology in
Educational Domain II. Using AI to the Advantage of Fog Computing 3.
Security and Privacy Analysis Using AI-Based Machine Learning Methods 4.
Security and Privacy in Advanced AI 5. Evolution of Artificial
Intelligence: Research Topics, Trends, and Future Directions III.
Leveraging the Potential of AI in Edge Computing 6. Edge AI Vis-Vis Cloud
Computing 7. An Intelligent Fault Predictive System in the Industrial
Internet of Things that Uses Condition Monitoring IV. Advancing AI in
Mobile Computing 8. Plantae: Mobile Interface for Plant Leaf Disease
Detection and Prevention System 9. Captureshield: A Deep Dive into
Screenshot Security 10. Edge-Cloud Computing for Data Analytics: Embedding
Intelligence with Deep Learning 11. Algorithms for Machine Learning in Big
Data Analytics V. Case Studies and Applications of AI in Computing 12.
Machine Learning Algorithms and Sustainable AI-Driven IoT Systems: Paving
the Way towards Environmental Stewardship 13. Elevating Education:
Exploring Chatbots and Their Significance in the Academic Realm 14. Green
Energy Management for Smart Homes that Leverages Big Data Analytics and IoT
15. Collaborative Computing of Big Data and Internet of Things Applications
in Smart Environments 16. A Systematic and Analytical Review on Drowsiness
Detection System-Based Real-Time Application
Comprehensive Approach for Ensuring Security and Privacy in Artificial
Intelligence 2. Knowledge Modelling and the Significance of Ontology in
Educational Domain II. Using AI to the Advantage of Fog Computing 3.
Security and Privacy Analysis Using AI-Based Machine Learning Methods 4.
Security and Privacy in Advanced AI 5. Evolution of Artificial
Intelligence: Research Topics, Trends, and Future Directions III.
Leveraging the Potential of AI in Edge Computing 6. Edge AI Vis-Vis Cloud
Computing 7. An Intelligent Fault Predictive System in the Industrial
Internet of Things that Uses Condition Monitoring IV. Advancing AI in
Mobile Computing 8. Plantae: Mobile Interface for Plant Leaf Disease
Detection and Prevention System 9. Captureshield: A Deep Dive into
Screenshot Security 10. Edge-Cloud Computing for Data Analytics: Embedding
Intelligence with Deep Learning 11. Algorithms for Machine Learning in Big
Data Analytics V. Case Studies and Applications of AI in Computing 12.
Machine Learning Algorithms and Sustainable AI-Driven IoT Systems: Paving
the Way towards Environmental Stewardship 13. Elevating Education:
Exploring Chatbots and Their Significance in the Academic Realm 14. Green
Energy Management for Smart Homes that Leverages Big Data Analytics and IoT
15. Collaborative Computing of Big Data and Internet of Things Applications
in Smart Environments 16. A Systematic and Analytical Review on Drowsiness
Detection System-Based Real-Time Application