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: Time-Aware CNN Framework for Efficient Energy Consumption Prediction in Smart Factory Target: Industrial Informatics
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: 1. Updated with review comments/observations from reviewers
2. Submitted camera-ready copy
Title 4: Awaiting reviewer’s response/comments
Title 5: 1. similarity index check - 12%
2. Secured approval for submission from Professor
Title 7: Published by IEEE Access
Title 8: Awaiting reviewer’s response/comments
Title 9: Awaiting reviewer’s response/comments
Title 2: Finalize conference registration
Title 4: Awaiting review’s response/comments
Title 5: To submit to Industrial Informatics
Title 8: Awaiting reviewer’s response/comments
Title 9: Awaiting reviewer’s response/comments
3D printing Project
Finalized labelling of the second batch of datasets
To finalize Data Preprocessing
Commenced model training on fault detection in 3D Printing
To conclude with Data Preprocessing
To complete training
To evaluate model
Submit title 5 as approved by Professor
To continue with training on Machine Learning
To finalize the 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