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Shovan Barma
Shovan Barma
Assistant Professor, Indian Institute of Information Technology, Guwahati
Verified email at iiitg.ac.in - Homepage
Title
Cited by
Cited by
Year
Measurement of duration, energy of instantaneous frequencies, and splits of subcomponents of the second heart sound
S Barma, BW Chen, W Ji, F Jiang, JF Wang
IEEE Transactions on Instrumentation and Measurement 64 (7), 1958-1967, 2015
412015
Quantitative measurement of split of the second heart sound (S2)
S Barma, BW Chen, KL Man, JF Wang
IEEE/ACM transactions on computational biology and bioinformatics 12 (4 …, 2014
362014
Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning
A Shankar, HK Khaing, S Dandapat, S Barma
Biomedical Signal Processing and Control 69, 102854, 2021
352021
Review on stimuli presentation for affect analysis based on EEG
P Sarma, S Barma
IEEE Access 8, 51991-52009, 2020
282020
An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images
K Iqbal, M Odetayo, A James, R Iqbal, N Kumar, S Barma
Neurocomputing 174, 413-430, 2016
262016
Detection of the third heart sound based on nonlinear signal decomposition and time–frequency localization
S Barma, BW Chen, W Ji, S Rho, CH Chou, JF Wang
IEEE Transactions on Biomedical Engineering 63 (8), 1718-1727, 2015
242015
Single-channel selection for EEG-based emotion recognition using brain rhythm sequencing
JW Li, S Barma, PU Mak, F Chen, C Li, MT Li, MI Vai, SH Pun
IEEE Journal of Biomedical and Health Informatics 26 (6), 2493-2503, 2022
232022
A large-scale optical microscopy image dataset of potato tuber for deep learning based plant cell assessment
S Biswas, S Barma
Scientific Data 7 (1), 371, 2020
222020
Emotion recognition by distinguishing appropriate EEG segments based on random matrix theory
P Sarma, S Barma
Biomedical Signal Processing and Control 70, 102991, 2021
202021
Epileptic seizure classification based on Gramian angular field transformation and deep learning
A Shankar, HK Khaing, S Dandapat, S Barma
2020 IEEE Applied Signal Processing Conference (ASPCON), 147-151, 2020
202020
Emotion recognition by discriminating EEG segments with high affective content from automatically selected relevant channels
P Sarma, S Barma
IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2022
192022
Brain rhythm sequencing using EEG signals: A case study on seizure detection
JW Li, S Barma, PU Mak, SH Pun, MI Vai
IEEE Access 7, 160112-160124, 2019
192019
A computation resource friendly convolutional neural network engine for EEG-based emotion recognition
Y Zhan, MI Vai, S Barma, SH Pun, JW Li, PU Mak
2019 IEEE International Conference on Computational Intelligence and Virtual …, 2019
152019
Seizure types classification by generating input images with in-depth features from decomposed EEG signals for deep learning pipeline
A Shankar, S Dandapat, S Barma
IEEE Journal of Biomedical and Health Informatics 26 (10), 4903-4912, 2022
142022
Seizure type classification using EEG based on Gramian angular field transformation and deep learning
A Shankar, S Dandapat, S Barma
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
122021
Direct measurement of elbow joint angle using galvanic couple system
XM Chen, S Barma, SH Pun, MI Vai, PU Mak
IEEE Transactions on Instrumentation and Measurement 66 (4), 757-766, 2017
92017
Emotion recognition based on EEG brain rhythm sequencing technique
JW Li, S Barma, SH Pun, MI Vai, PU Mak
IEEE Transactions on Cognitive and Developmental Systems 15 (1), 163-174, 2022
82022
Visual machine intelligence for home automation
I Kool, D Kumar, S Barma
2018 3rd International Conference On Internet of Things: Smart Innovation …, 2018
82018
Classification of seizure types based on statistical variants and machine learning
A Shankar, S Dandapat, S Barma
2021 IEEE 18th India Council International Conference (INDICON), 1-6, 2021
72021
Frowning expression detection based on SOBEL filter for negative emotion recognition
SC Chung, S Barma, TW Kuan, TW Lin
2014 International Conference on Orange Technologies, 173-176, 2014
72014
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