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Nikhil Yadav
Nikhil Yadav
Associate Professor of Computer Science, St. John's University
Verified email at stjohns.edu - Homepage
Title
Cited by
Cited by
Year
Using isolated vowel sounds for classification of mild traumatic brain injury
M Falcone, N Yadav, C Poellabauer, P Flynn
IEEE Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE …, 2013
402013
Portable mTBI assessment using temporal and frequency analysis of speech
L Daudet, N Yadav, M Perez, C Poellabauer, S Schneider, A Huebner
IEEE journal of biomedical and health informatics 21 (2), 496-506, 2016
282016
Challenges in concussion detection using vocal acoustic biomarkers
C Poellabauer, N Yadav, L Daudet, SL Schneider, C Busso, PJ Flynn
IEEE Access 3, 1143-1160, 2015
242015
Security vulnerabilities in mobile health applications
M Aliasgari, M Black, N Yadav
2018 IEEE Conference on application, information and network security (AINS …, 2018
212018
Systems and methods for using isolated vowel sounds for assessment of mild traumatic brain injury
C Poellabauer, P Flynn, N Yadav
US Patent App. 13/954,572, 2014
212014
Gender-based feature analysis in campus-wide WLANs
U Kumar, N Yadav, A Helmy
ACM SIGMOBILE Mobile Computing and Communications Review 12 (1), 40-42, 2008
162008
An architecture for personalized health information retrieval
N Yadav, C Poellabauer
ACM Proceedings of the 2012 international workshop on Smart health and …, 2012
132012
AR-IoMT Mental Health Rehabilitation Applications for Smart Cities
N Yadav, Y Jin, LJ Stevano
IEEE International Conference on Smart Cities, Improving Quality of Life …, 2019
82019
CRADLE: an IoMT psychophysiological analytics platform
N Yadav, F Keshtkar, C Schweikert, G Crocetti
ACM Proceedings of the Workshop on Human-Habitat for Health (H3): Human …, 2018
82018
Portable neurological disease assessment using temporal analysis of speech
N Yadav, C Poellabauer, L Daudet, T Collins, S McQuillan, P Flynn
ACM Proceedings of the 6th Conference on Bioinformatics, Computational …, 2015
82015
Recommended Practices for Python Pedagogy in Graduate Data Science Courses
N Yadav, JE Debello
IEEE Frontiers in Education 2019, 2019
72019
Gender-based grouping of mobile student societies
U Kumar, N Yadav, A Helmy
The International Workshop on Mobile Device and Urban Sensing (MODUS), IPSN …, 2008
62008
Student performance prediction from E-mail assessments using tiny neural networks
N Yadav, K Srivastava
2020 IEEE Integrated STEM Education Conference (ISEC), 1-6, 2020
52020
Noise management in mobile speech based health tools
N Yadav, L Daudet, C Poellabauer, P Flynn
IEEE Healthcare Innovation Conference (HIC), 2014 IEEE, 335-338, 2014
52014
Challenges of mobile health applications in developing countries
N Yadav, C Poellabauer
E-Healthcare Systems and Wireless Communications: Current and Future …, 2012
42012
Mobile healthcare in an increasingly connected developing world
N Yadav, M Aliasgari, C Poellabauer
International Journal of Privacy and Health Information Management (IJPHIM …, 2016
32016
Machine Learning Architecture for Signature-Based IoT Intrusion Detection in Smart Energy Grids
N Yadav, L Truong, E Troja, M Aliasgari
21st IEEE Mediterranean Electrotechnical Conference (MELECON), 2022
22022
Android Development Tutorial
N Yadav
22011
An End-to-End Machine Learning Solution for Anxiety and Depressive Disorder Symptom Occurrence During COVID-19: A New York Case Study
N Yadav, C Singh, K Srivastava
Hawai’i International Conference on System Sciences (HICSS), 2022
12022
An Adaptable LSTM Network Predicting COVID-19 Occurrence using Time Series Data
A Li, N Yadav
2021 IEEE International Conference on Digital Health (ICDH), 2021
12021
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