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Dr. Venkata Phanikrishna B
Dr. Venkata Phanikrishna B
Assistant Professor Senior Grade 1, VIT Vellore (Previously Research Scholar from NIT-Rourkela)
Verified email at vit.ac.in - Homepage
Title
Cited by
Cited by
Year
Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal
V Phanikrishna B, S Chinara
Journal of neuroscience methods 347, 108927, 2021
722021
Automated classification system for drowsiness detection using convolutional neural network and electroencephalogram
VP Balam, VU Sameer, S Chinara
IET Intelligent Transport Systems 15 (4), 514–524, 2021
282021
Deep Review of Machine Learning Techniques on Detection of Drowsiness Using EEG Signal
B Venkata Phanikrishna, A Jaya Prakash, C Suchismitha
IETE Journal of Research 69 (6), 3104-3119, 2023
152023
Time Domain Parameters as a feature for single-channel EEG-based drowsiness detection method
V Phanikrishna B, S chinara
2020 IEEE International Students’ Conference on Electrical,Electronics and …, 2020
152020
Statistical channel selection method for detecting drowsiness through single-channel EEG-based BCI system
VP Balam, S Chinara
IEEE Transactions on Instrumentation and Measurement 70, 1-9, 2021
132021
A Brief Review on EEG Signal Pre-processing Techniques for Real-Time Brain-Computer Interface Applications
BV Phanikrishna, P Pławiak, AJ Prakash
Authorea Preprints, 2023
72023
Development of single-channel electroencephalography signal analysis model for real-time drowsiness detection: SEEGDD
VP Balam, S Chinara
Physical and Engineering Sciences in Medicine 44 (3), 713-726, 2021
42021
Drowsiness detection by analysis of EEG signal with the help of Machine Learning
V Phanikrishna B, S Chinara, M Sarkar
24th annual International Conference on Advanced Computing and …, 2018
42018
Analysis of EEG Signal for Drowsy Detection: A Machine Learning Approach
B Venkata Phanikrishna, S Chinara
Soft Computing in Interdisciplinary Sciences 988, 147-164, 2022
12022
Improved TLBO and JAYA algorithms to solve new fuzzy flexible job-shop scheduling problems
R Buddala, SS Mahapatra, MR Singh, BC Balusa, P Singamsetty, ...
Journal of Industrial Engineering International 18 (4), 102-114, 2023
2023
A Novel Technique for Creative Problem-Solving by using Q-learning and Association algorithm
VP Balam, T Srinivasarao
IJRCCT 3 (8), 809-814, 2014
2014
A Novel Framework for Privacy Conserving Data Publishing and Handling High Dimensional Data
BV PHANIKRISHNA, KSRAM PRASAD
Two day National Conference on Advanced Trends and Challenges in Computer …, 2014
2014
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