Title2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ICOIN 2022 Conference
Title3: Enhanced Vulnerability Detection in Scada Systems using Hyper-Parameter-Tune Machine Learning
Target: ICTC 2021 Conference
Title 4: An Efficient Hybrid SCADA Network Vulnerability Detection and Characterization Technique
Target: IEEE Transaction on Emerging Topics in Computing
Title 5: An Intelligent CNN Framework for Time-Efficient Energy Consumption Prediction in Smart Factory
Target: ICT Express
Title 7: Efficient Classification of Enciphered SCADA Network Traffic in 5G+ Enabled Smart Factory
Target: IEEE Access
Title 8: Countering DNS Vulnerability to Attacks Using Ensemble Learning
Target: ICAIIC 2022
Title 9: Effective Gaussian Process Regression Kernels Selection for Secured SCADA Network Communication
Target: ICC 2022
Title 10: Improving Machine Learning Reliability using Trees Optimization for Attack Detection on SCADA Network
Target: KICS Fall 2021
Title 2: Awaiting reviewer’s response/comments
Title 4: Awaiting reviewer’s response/comments
Title 5: Finalized paper revision in line with review comments on title 7 from ICT Express
Title 7: Title updated in line with review comments and resubmitted
Title 8: Submitted for ICAIIC 2022
Title 9: Awaiting reviewer’s response/comments
Title 10: Title accepted for KICS Fall 2021 Conference with no review comments
Title 2: Awaiting reviewer’s response/comments
Title 4: Awaiting review’s response/comments
Title 5: 1. To carry out grammar check and similarity index
Title 7: Resubmitted and awaiting final publication by IEEE Access
Title 8: Awaiting reviewer’s response/comments
Title 9: Awaiting reviewer’s response/comments
Title 10: 1. Preparing to attend KICS Conference November 17 – 20, 2021
3D printing Project
Continued with the second batch of datasets for image labelling
Commenced model training on fault detection in 3D Printing
Finalize labelling of the second batch of datasets
Finalize Data Preprocessing
To commence model training on fault detection in 3D Printing
To continue with training on Machine Learning
Concluded title 5, based on review comments on title 7 from ICT Express
To finalize a model design and training on fault detection of 3D Printing
1. Attend at least two NSL approved Domestic Conference (100%)
2. Attend at least two NSL approved International Conferences (50%)
3. Submit at least two International Journals (Submission 100%) - 1 Accepted