Pinned Repositories
aerial_pedestrian_detection
bingo_game
This is a Number board game developed using python.
Crawler
deerajnagothu.com
A beautiful, simple, clean, and responsive Jekyll theme for academics
dissertation_template
Binghamton University Dissertation Template in Latex
ENF-WHU-Dataset
This repo contains the ENF-WHU audio recording dataset collected around Wuhan University campus and the MATLAB programs for electronic network frequency (ENF) detection, enhancement, and robust estimation, in ENF-based audio forensic applications.
professional_portfolio
Collection of my Resume, CV, Research statement, Cover letters and Teaching Statements.
pyenf_extraction
Python based, ENF extraction from video/audio recordings.
replay_attack
Virtual_Infrastructure_Scripts
The Powershell Scripts consists of creating Virtual Machines based on a parent Virtual Machine.
deerajnagothu's Repositories
deerajnagothu/pyenf_extraction
Python based, ENF extraction from video/audio recordings.
deerajnagothu/professional_portfolio
Collection of my Resume, CV, Research statement, Cover letters and Teaching Statements.
deerajnagothu/aerial_pedestrian_detection
deerajnagothu/bingo_game
This is a Number board game developed using python.
deerajnagothu/Crawler
deerajnagothu/deerajnagothu.com
A beautiful, simple, clean, and responsive Jekyll theme for academics
deerajnagothu/dissertation_template
Binghamton University Dissertation Template in Latex
deerajnagothu/ENF-WHU-Dataset
This repo contains the ENF-WHU audio recording dataset collected around Wuhan University campus and the MATLAB programs for electronic network frequency (ENF) detection, enhancement, and robust estimation, in ENF-based audio forensic applications.
deerajnagothu/replay_attack
deerajnagothu/Virtual_Infrastructure_Scripts
The Powershell Scripts consists of creating Virtual Machines based on a parent Virtual Machine.
deerajnagothu/exploringentropy.com
✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com
deerajnagothu/face2face-demo
pix2pix demo that learns from facial landmarks and translates this into a face
deerajnagothu/facenet
Face recognition using Tensorflow
deerajnagothu/fastbook
The fastai book, published as Jupyter Notebooks
deerajnagothu/gen_folders
Python Script to create folders based on input through list in excel
deerajnagothu/huffman_coding
Assigns Huffman codewords to each symbol i.e. letters in the given text file.
deerajnagothu/image_replay_attack
Python Script to replay the previous image frames and continuously create the new frames based on previous frames intercepted.
deerajnagothu/manim
Animation engine for explanatory math videos
deerajnagothu/noiseprint
Noiseprint, a CNN-based camera model fingerprint
deerajnagothu/pyaes
Pure-Python implementation of AES block-cipher and common modes of operation.
deerajnagothu/Railscast-for-Roam-Research-Theme
A dark CSS theme for Roam Research
deerajnagothu/sms-tools
Sound analysis/synthesis tools for music applications
deerajnagothu/Sp-Cup-2016
The Electric Network Frequency (ENF) is the supply frequency of power distribution networks, which can be captured by multimedia signals recorded near electrical activities. It normally fluctuates slightly over time from its nominal value of 50 Hz/60 Hz. The ENF remain consistent across the entire power grid. This has led to the emergence of multiple forensic application like estimating the recording location and validating the time of recording. Recently an ENF based Machine Learning system was proposed which infers the region of recording from the power grids ENF signal extracted from the recorded multimedia signal, with the help of relevant features. In this work, we report some features novel to this application which serve as identifying characteristics for detecting the region of origin of the multimedia recording. In addition to the ENF variation itself, the utilization of the ENF harmonics pattern extracted from the media signals as novel features enables a more accurate identification of the region of origin. These characteristics were used in a multiclass machine learning implementation to identify the grid of the recorded signal.
deerajnagothu/SpectralEstimationTechniques
Assessing spectral estimation methods for Electric Network Frequency (ENF) Extraction