Denathayalan's Projects
scripts for manuscript 'benchmarking automated cell type annotation tools for single-cell ATAC-seq data'
Autosar based ADAS application (graduation project)
Sprints AUTOSAR
Analytical Models of the Performance of C-V2X Mode 4 Vehicular Communications
AI project to demonstrate different feature extraction methods over the previous basic lane line detection project
Classifying cloths using CNN in Tensor flow
Open-source Python SDK for Ford vehicles connected with Sync Connect (Ford Pass)
Config files for my GitHub profile.
drowsiness detection
As part of my thesis project, I designed a monitoring system in Matlab which processes the video input to indicate the current driving aptitude of the driver and warning alarm is raised based on eye blink and mouth yawning rate if driver is fatigue. It is implemented using Viola-Jones and Sobel techniques for facial features detection.
A statistical analyses of the NYSERDA Electric Vehicle Rebate Program dataset from the NYS Data center.
User can set up destination for any agent to navigate on Google Map and learn the best route for the agent based on its current condition and the traffic. Our result is 10% less energy consumption than the route provided by Google map
An equivalent circuit model (ECM) for a battery cell, module, and pack
Electric Vehicle Assisted Charging (EVAC) - Recommending the best locations for implementing electric vehicle charging infrastructure
A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
2022 GHC Level Up Lab: Use Open Source Tool to Simplify & Automate Video/Image Labeling Process
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Long Short Term Memory(LSTM)
MyEnergi Client API and Management tools.
Previously Open Dataset of Electric Vehicle specs. Now part of the Chargeprice API!
face detection - age gender
Python script to using neural compute stick 2 to recognize emotions
These are the OS files in the AUTOSAR Stack my gradution project.
PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.
Dimension reduction in R on real data analyzing what are the factors that influence electric vehicle buying choices
Semi-Automated annotation of vehicular data
Automated Training Data Annotation for Aircraft
Smart charging of electric vehicles for maximizing PV self-consumption using Deep Reinforcement Learning. Data preprocessing was done with Pandas, data visualization with Matplotlib and Seaborn, matrix manipulation with Numpy, unit testing with the Unittest python library and neural network training and testing with Keras.