Papers

Title 1 Intelligent and Real-Time Smart Card Fraud Detection for Optimized Industrial Decision Process
Target: KICS Conference and IEEE Emerging Topics In Computing (Under Review)
Title 2: Multi-Drone Detection and Classification using YOlov5 with Transfer Learning for Real-Time Military Tactical Operations
Target: ICOIN 2022 and ICT Express
Title3: Deep Learning-Based Real-Time Drone Detection and Classification System in Military Reconnaissance Operations
Target: IEEE IoT Journal
Title4: Monitoring of COVID-19 Vaccination Compliance-A Ubiquitous IT-Convergence Approach
Target: ICTC 2021
Title 5: Hybrid Portable Multiple Drone Detection, Classification & Identification Architecture for Industrial Facilities
Target: Summer Intensive and ICC 2021
Title 6: A Review of Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network

Last Week's Progress

Title2: (a) Adjusted system model
(b) Made necessary corrections based on plagiarism check
Title3: (a) Continued with paper writing
Title5: (a) Tried Fixing bugs encountered in model simulation
(b) Carried out Performance evaluation
(c) Presented result at the Summer Intensive Workshop

Mentoring Session (Rasyid)
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-Guided mentee (Rasyid) on getting seminar approval.
-Taught mentee on weekly report preparation.
-Helped mentee on basics of KIT and NSL websites respectively

This Week Todo's

Title 1: Under Review
Title 6: Under Review
Title2: (a) To continue with paper content adjustment based on plagiarism check
(b) Re-run simulation on Yolov4 model
Title3: (a) Continue with paper writing
Title5: (a) Gathering more dataset for robust system design
(b) Dataset preprocessing and augmentation
(c) Train and simulate model with preprocessed dataset.

Mentoring Activities (Rasyid)
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-To guide mentee on Installation of MATLAB
-To help mentee on seminar paper preparation and presentation
-To guide mentee on other essential components of NSL website

Project Progress

Anti-drone project

Last Week's Project

-Fine-tuned errors experienced in Yolov4
-Gathering robust dataset to meet up with adjusted system design

This Week's Project

-Dataset cleaning and preprocessing
-Simulation and training of adjusted system model
-Continue with paper writing

Monthly Goals

-At least review a paper on Machine learning algorithm and IIoT
-Learn how to train ML models using Python
-Perfect the act of article writing using latex.
-Finish up an article for review and possible submission to a targeted journal.
-Start training on the use of MATLAB for model simulations

Annual Goals

-At least Two international journal submissions
-At least Two conference attendance (international and domestic) (domestic conference achieved)