Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot. - Shruti Garg; Vinay Kukreja; Rishabh Sharma; Vikrant Sharma; Manisha Aeri (ICCCNT, 2023)

Cutting-edge Analysis of Sweet Potato Leaf Diseases: Leveraging Federated Learning and CNNs for Severity Evaluation. - Shiva Mehta; Vinay Kukreja; Vikrant Sharma; Manisha Aeri (ICCCNT, 2023)

The Convergence of Block chain and Network Security: Opportunities and Challenges. - Kapil Rajput; Ganesh Chandrasekaran; Manisha Aeri; Rishi Prakash Shukla; P. Jeyanthi; Hariom Gurjar (ICCCNT, 2024)

A Novel Approach to Intrusion Detection using Reinforcement Learning. - Kapil Rajput; Ganesh Chandrasekaran; Manisha Aeri; Rishi Prakash Shukla; Y. P. Ragini; Hariom Gurjar (ICCCNT, 2024)

An enhanced analysis of Machine Learning Techniques for Image Restoration and Enhancement. - Kapil Rajput; Rishi Prakash Shukla; Ganesh Chandrasekaran; Y. P. Ragini; Manisha Aeri; Hariom Gurjar (ICCCNT, 2024)

Designing Efficient Data Fusion Techniques for Tele-Communication Networks and Iot Integration. - Kapil Rajput; K. Raj Thilak; Manisha Aeri; Rishi Prakash Shukla; Y. P. Ragini; Julee (ICCCNT, 2024)

Addressing Security and Privacy Concerns in Cloud-Based Deep Learning Systems. - Kapil Rajput; K. Raj Thilak; Manisha Aeri; Rishi Prakash Shukla; Y. P. Ragini; Julee (ICCCNT, 2024)