Title 1 Anomaly Detection of Malicious Energy Usage in Smart Factories using Deep Neural Network
Target: KICS Conference
Title2: Time-Efficient Deep Learning-Based Energy Consumption Prediction for Smart Factory
Target: ETFA 2021 Conference
Title3: Efficient Deep Transfer Learning for Scada Vulnerability and Detection
Target: MILCOM 2021
Title 4: Efficient and Real-Time Energy Consumption Forecasting for Smart Factories using NARX
Target: IEEE Industrial Informatics
Title 5: Reliability Analysis of Vulnerability Detection in SCADA Systems using Machine Learning
Target: IEEE Industrial Informatics
Title 1: Completed and Submitted
Title 2:
1. Completed
2. Plagiarism and grammar check done with 4%
3. Effected corrections from Prof Lee
Title 3:
1. Methodology
2. Continued with the survey of related papers
3. continued dataset pre-processing
Title 4:
1. Continued with model training
2. Continued with the survey of related papers
3. System Methodology
Title 5: 1. Continued with the survey of related literature
Title 1: Completed and Submitted
Title 2: Awaiting approval to submit
Title 3:
1. Finalize dataset pre-processing
2. To continue with model training
3. Performance Evaluation
Title 4:
1. Finalize dataset pre-processing
2. To continue with model training
3. Performance Evaluation
Title 5:
1. To continue with the survey of related literature
2. To continue with Introduction
Smart Grid Energy for Energy Consumption Prediction Using LSTM Model in Industrial Environment
Expecting industrial energy dataset
To continue with pre-processing and training of smart factory Energy dataset on the proposed model
To continue with pre-processing and training of smart factory Energy dataset on the proposed model
To conclude and submit Title 2
To conclude Titles 3 and 4
To continue with training on Machine Learning
To attend at least one NSL approved Domestic Conference
To attend at least one International Conference
To submit at least two International Journals