Papers

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 (Accepted)

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 (Rejected)

Title 7: Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest
Algorithm
Target: ICTC 2022 (Accepted)

Title 8: Efficient Intrusion Detection Model for Securing the Communication Links of Internet of Drone Network (Summer Intensive)
Target: IEEE Internet of Things (Under review)

Last Week's Progress

Title 2: Under review

Title 3: Still enhancing paper based on reviewers’ recommendations.

Title 6: Paused paper revision until after graduation exam

Title 8: Submitted article for possible publication

This Week Todo's

Title 2: Under review

Title 3: Complete paper revision

Title 6: Complete paper revision

Title 8: Under review

Project Progress

Anti-drone System (Hybrid)

Last Week's Project

i. Continue studying Radar and Sniffing technologies for drone detections.

ii. Survey at least four papers from both sectors

This Week's Project

i. Continue studying radar and sniffing technologies for drone detections.

ii. Gather dataset for simulation experiment

Monthly Goals

i. Effect changes and improve Title 7 for resubmission (40%)

ii. Complete all presentation slides for conference presentation

iii. Submit paper for KICS Fall

iv Acquire in-depth knowledge of the various ML and DL algorithms (85% progress)

iv. Become proficient in the use of OpenCV for object detection and tracking in real-time (paused)

v. Begin and excel on the journey to R programming (10%)

Annual Goals

i. Submission of at least 3 journals (2 achieved)

ii. Design a hybrid model for drone detection

iii. Become an AI expert in both ML and DL techniques