1st Edition
Machine Learning for Edge Computing Frameworks, Patterns and Best Practices
1. Fog Computing And Its Security Challenges
Kamali Gupta, Deepali Gupta, Vinay Kukreja, Vipul Kaushik
2. Machine Learning for Edge Computing: Frameworks, Patterns and Best Practices
Veerpal Kaur, Rajpal Kaur
3. Tea Vending Machine from extracts of Natural Tea leaves and other ingredients: IoT and Artificial Intelligence Enabled
Neha Sharma, Ram Kumar Ketti Ramachandran, Huma Naz, Rishabh Sharma
4. Recent Trends in OCR Systems: A Review
Aditi Moudgil, Saravjeet Singh, Vinay Gautam
5. A Novel Approach for Data Security using DNA Cryptography with Artificial Bee Colony Algorithm in Cloud Computing
Manisha Rani, Madhvi Popli, Gagandeep
6. Various Techniques for Consensus Mechanism in Blockchain
Shivani Wadhwa, Gagandeep
7. IoT inspired Smart Healthcare Service for diagnosing remote patients with Diabetes
Huma Naz, Rishabh Sharma, Neha Sharma, Sachin Ahuja
8. Segmentation of Deep Learning Models
Prabhjot Kaur, Anand Muni Mishra
9. Alzheimer’s disease Classification
M. Sethi, S. Ahuja, V. Kukreja
10. Deep learning applications on Edge computing
Naresh Kumar Trivedi, Abhineet Anand, Umesh Kumar Lilhore, Kalpna Guleria
11. Designing an Efficient Network based Intrusion Detection System using Artificial Bee Colony and ADASYN oversampling approach
Manisha Rani, Gunreet Kaur, Gagandeep
Biography
Amitoj Singh is working as Assistant Professor in the department of Computational Sciences, MRSPTU, Bathinda, Punjab, India.
Vinay Kukreja is working as an Associate professor at Chitkara University, Punjab, India.
Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.
