IoT Application for Autonomous Vehicles (Real-Time and Security Issues)
1. Got NSL paper for my seminar presentation
2. Started Preparing for my seminar presentation
3. Initial idea meeting with my mentor to identify my research area
Paper Review
1. EASBF: An efficient authentication scheme over blockchain for fog computing-enabled internet of vehicles
2. A Driving Decision Strategy(DDS) Based on Machine learning for an autonomous vehicle
1. Paper Review on the following works:
(a) A Machine-Learning-Based Data-Centric Misbehavior Detection Model for Internet of Vehicles
(b) Comparative analysis of machine learning algorithms for identification of BOT attack on the Internet of Vehicles (IoV)
(c) Detection and Identification of Malicious Cyber-Attacks in Connected and Automated Vehicles’ Real-Time Sensors
2. Prepare full NSL seminar and submit to mentor for vetting and approval
3. Begin Using LateX for my KICS Paper
4. Continue learning Machine Learning using my Online Udemy Course
AI-Assisted Thermal array-based High Detection for Smart Home
1. Gained better insight into the use and application of thermal sensor
2. Reviewing papers on Thermal-array sensor
3. Research various thermal sensor types; their descriptions, usage characteristics, and how to set them up.
4. Study the e-homier thermal sensor dataset & Study the Far infrared thermal sensor array(32x24 RES)
5. Simulated a time-series prediction data-set
1. Develop a machine learning algorithm with the thermal sensor-generated dataset
2. Brainstorm with team members for this weeks project and presentation
3. Prepare ppt for this week's presentation (IGG129)
4. Meet with my mentor to discuss my research area extensively
1.Develop Machine Learning Environment
2. Get familiar with the Latex and Machine Learning environment
3. Start writing at least one paper for upcoming conferences
1. Attend at least one Domestic Conference
2. Attend at least one International Conference
3. Submit one International Journal