suraiyajabin
faculty member at the Department of Computer Science, Jamia Millia Islamia, New Delhi, India.
Jamia Millia IslamiaNew delhi
Pinned Repositories
BMT_EEG
EnhancerPredictionDataset
This data repository contains Train and Test dataset for our work published in Nature Scientific Reports https://www.nature.com/articles/s41598-018-33413-y
ESKAPEE_pathogen
This repository saves Train/Test datasets used for training of ESKAPEE classification work and classification results publicly available at: https://www.techrxiv.org/doi/full/10.36227/techrxiv.21675053.v5
iSignDB2020
It's a database created to design foolproof biometric authentication system for smartphone users.
JavaWebApplicationStepByStep
JSP Servlets Tutorial For Beginners - in 25 Steps
JMI-UCF-VAD
Video Anomaly Detection on a customized Dataset created by merging Parts of UCF-Crime and CCTV footage of Jamia Millia Islamia University Campus.
ProteinFunctionPredictionDataSet
This data repository contains full Training and Test datasets for a project titled "A deep neural network based model for function prediction of hypothetical proteins from pathogenic bacterial species".
suraiyajabin's Repositories
suraiyajabin/iSignDB2020
It's a database created to design foolproof biometric authentication system for smartphone users.
suraiyajabin/EnhancerPredictionDataset
This data repository contains Train and Test dataset for our work published in Nature Scientific Reports https://www.nature.com/articles/s41598-018-33413-y
suraiyajabin/ESKAPEE_pathogen
This repository saves Train/Test datasets used for training of ESKAPEE classification work and classification results publicly available at: https://www.techrxiv.org/doi/full/10.36227/techrxiv.21675053.v5
suraiyajabin/ProteinFunctionPredictionDataSet
This data repository contains full Training and Test datasets for a project titled "A deep neural network based model for function prediction of hypothetical proteins from pathogenic bacterial species".
suraiyajabin/JavaWebApplicationStepByStep
JSP Servlets Tutorial For Beginners - in 25 Steps