Title 2: Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato
Diseases.
Target: IEEE Intelligent Systems (Under Review)
Title 3: Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious
Approach
Target: MILCOM 2022 (Under Review)
Title 4: VisioNET Dataset: An Aerial Dataset for Scenario-Based Multi-Drone Detection and Identification
Research (Anti-drone project)
Target: IEEE Transactions on Aerospace and Electronic Systems
Title 5: Scalable Out-of-Core Learning Model for Intrusion Detection System on the Internet of Drones
Target: KICS Summer 2022 (Accepted)
Title 6: Scale Variant Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks
Target: IET Computer Vision (Submitted)
Title 7: Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest Algorithm
Target: ICTC 2022 (Submitted)
Title 8: Tentative (Title 3 extension)
Target: IEEE Internet of Things
Title 2: Under review
Title 3: Under review
Title 6: Under review
Title 7: Under review
Title 2: Under review
Title 3: Under review
Title 6: Under review
Title 7: Under review
Tile 8 : Include more related works to increase performance evaluation
Water Quality Monitoring System (WQMS)
i. Met and brainstormed with team members for our first conference paper submission
ii. Continued surveys on WQMS for chapter 2 of the conference paper
i. Gather dataset and run simulations
ii. Conclude and submit paper
i. Extend Title 4 to a journal version for possible publication
ii. Complete and submit ICTC paper. (Achieved)
ii. Extend ICTC paper to a journal version for possible publication
iii. Acquire in-depth knowledge of the various ML and DL algorithms (75% progress)
iv. Become proficient in the use of OpenCV for object detection and tracking in real-time (40% progress)
. Submission of at least 3 journals (2 achieved)
ii. Become an AI expert