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Shovan Barma
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2020 – today
- 2024
- [j20]Marwa S. Moustafa, Mohamed R. Metwalli, Roy Samshitha, Sayed A. Mohamed, Shovan Barma:
Cyclone detection with end-to-end super resolution and faster R-CNN. Earth Sci. Informatics 17(3): 1837-1850 (2024) - [j19]Sumona Biswas
, Shovan Barma
:
MicrosMobiNet: A Deep Lightweight Network With Hierarchical Feature Fusion Scheme for Microscopy Image Analysis in Mobile-Edge Computing. IEEE Internet Things J. 11(5): 8288-8298 (2024) - 2023
- [j18]Jia Wen Li
, Shovan Barma
, Sio-Hang Pun
, Mang I Vai, Peng Un Mak
:
Emotion Recognition Based on EEG Brain Rhythm Sequencing Technique. IEEE Trans. Cogn. Dev. Syst. 15(1): 163-174 (2023) - [c10]Anand Shankar, Debaleena Chakraborty, Manob Jyoti Saikia, Samarendra Dandapat, Shovan Barma:
Seizure Type Detection Using EEG Signals Based on Phase Synchronization and Deep Learning. BSN 2023: 1-5 - [c9]Basab Bijoy Purkayastha
, Shovan Barma
:
Reservoir Echo State Network for Classification of Multivariate Time Series. HiPCW 2023: 61-62 - [d1]Sumona Biswas, Shovan Barma:
A Large-Scale Fully Annotated Foldscope Microscopy Image Dataset for Deep Learning Framework. IEEE DataPort, 2023 - 2022
- [j17]Jia Wen Li
, Rongjun Chen, Shovan Barma, Fei Chen, Sio-Hang Pun, Peng Un Mak, Lei Jun Wang, Xianxian Zeng, Jinchang Ren, Huimin Zhao:
An Approach to Emotion Recognition Using Brain Rhythm Sequencing and Asymmetric Features. Cogn. Comput. 14(6): 2260-2273 (2022) - [j16]Parthana Sarma
, Shovan Barma
:
Emotion Recognition by Discriminating EEG Segments With High Affective Content From Automatically Selected Relevant Channels. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [j15]Jia Wen Li
, Shovan Barma
, Peng Un Mak
, Fei Chen
, Cheng Li, Ming Tao Li, Mang I Vai
, Sio-Hang Pun
:
Single-Channel Selection for EEG-Based Emotion Recognition Using Brain Rhythm Sequencing. IEEE J. Biomed. Health Informatics 26(6): 2493-2503 (2022) - [j14]Anand Shankar
, Samarendra Dandapat
, Shovan Barma
:
Seizure Types Classification by Generating Input Images With in-Depth Features From Decomposed EEG Signals for Deep Learning Pipeline. IEEE J. Biomed. Health Informatics 26(10): 4903-4912 (2022) - 2021
- [j13]Anand Shankar, Hnin Kay Khaing, Samarendra Dandapat, Shovan Barma:
Analysis of epileptic seizures based on EEG using recurrence plot images and deep learning. Biomed. Signal Process. Control. 69: 102854 (2021) - [j12]Parthana Sarma
, Shovan Barma:
Usefulness of blinking duration variability (BDV) in discriminating emotional states. Biomed. Signal Process. Control. 69: 102883 (2021) - [j11]Parthana Sarma
, Shovan Barma:
Emotion recognition by distinguishing appropriate EEG segments based on random matrix theory. Biomed. Signal Process. Control. 70: 102991 (2021) - [c8]Jia Wen Li
, Shovan Barma, Siohang Pun, Mang I Vai, Feng Wan
, Wai Sun Liu, Peng Un Mak:
Brain Rhythm Sequencing and Its Application for EEG-based Emotion Recognition. CIVEMSA 2021: 1-5 - [c7]Jia Wen Li
, Shovan Barma, Sio-Hang Pun, Fei Chen, Cheng Li, Ming Tao Li, Pan Ke Wang
, Mang I Vai, Peng Un Mak:
EEG-based Emotion Recognition Using Similarity Measure of Brain Rhythm Sequencing. EMBC 2021: 31-34 - [c6]Anand Shankar, Samarendra Dandapat, Shovan Barma:
Classification of Epileptic Seizure From EEG Signal Based on Hilbert Vibration Decomposition and Deep Learning. EMBC 2021: 2802-2805 - [c5]Anand Shankar, Samarendra Dandapat, Shovan Barma:
Seizure Type Classification Using EEG Based on Gramian Angular Field Transformation and Deep Learning. EMBC 2021: 3340-3343 - 2020
- [j10]Parthana Sarma
, Shovan Barma
:
Review on Stimuli Presentation for Affect Analysis Based on EEG. IEEE Access 8: 51991-52009 (2020) - [c4]Anand Shankar, Samarendra Dandapat, Shovan Barma:
Graph Theory and Machine Learning Based Epileptic Seizures Analysis from EEG. MWSCAS 2020: 982-985
2010 – 2019
- 2019
- [j9]Jia Wen Li
, Shovan Barma
, Peng Un Mak
, Sio-Hang Pun
, Mang I Vai:
Brain Rhythm Sequencing Using EEG Signals: A Case Study on Seizure Detection. IEEE Access 7: 160112-160124 (2019) - [c3]Yi Zhan, Mang I Vai, Shovan Barma, Sio-Hang Pun, Jia Wen Li
, Peng Un Mak
:
A Computation Resource Friendly Convolutional Neural Network Engine For EEG-based Emotion Recognition. CIVEMSA 2019: 1-6 - [c2]Sumona Biswas
, Shovan Barma
:
Usability of Foldscope in Food Quality Assessment Device. PReMI (1) 2019: 490-498 - 2017
- [j8]Xi Mei Chen, Shovan Barma
, Sio-Hang Pun, Mang I Vai, Peng Un Mak
:
Direct Measurement of Elbow Joint Angle Using Galvanic Couple System. IEEE Trans. Instrum. Meas. 66(4): 757-766 (2017) - 2016
- [j7]Kashif Iqbal, Michael O. Odetayo, Anne E. James
, Rahat Iqbal
, Neeraj Kumar
, Shovan Barma
:
An efficient image retrieval scheme for colour enhancement of embedded and distributed surveillance images. Neurocomputing 174: 413-430 (2016) - [j6]Shovan Barma
, Bo-Wei Chen, Wen Ji, Seungmin Rho, Chih-Hung Chou, Jhing-Fa Wang:
Detection of the Third Heart Sound Based on Nonlinear Signal Decomposition and Time-Frequency Localization. IEEE Trans. Biomed. Eng. 63(8): 1718-1727 (2016) - [j5]Chih-Hung Chou, Ta-Wen Kuan, Shovan Barma
, Bo-Wei Chen, Wen Ji, Chih-Hsiang Peng, Jhing-Fa Wang:
A New Binary-Halved Clustering Method and ERT Processor for ASSR System. IEEE Trans. Very Large Scale Integr. Syst. 24(5): 1871-1884 (2016) - 2015
- [j4]Chih-Hsiang Peng, Po-Chuan Lin, Shovan Barma
, Jhing-Fa Wang, Hong-Yuan Peng, K. Bharanitharan, Ta-Wen Kuan:
Low-power enhanced system-on-chip design for sequential minimal optimisation learning core with tri-layer bus and butterfly-path accelerator. IET Comput. Digit. Tech. 9(2): 93-100 (2015) - [j3]Shovan Barma
, Bo-Wei Chen, Ka Lok Man, Jhing-Fa Wang:
Quantitative Measurement of Split of the Second Heart Sound (S2). IEEE ACM Trans. Comput. Biol. Bioinform. 12(4): 851-860 (2015) - [j2]Shovan Barma
, Bo-Wei Chen, Wen Ji, Feng Jiang, Jhing-Fa Wang:
Measurement of Duration, Energy of Instantaneous Frequencies, and Splits of Subcomponents of the Second Heart Sound. IEEE Trans. Instrum. Meas. 64(7): 1958-1967 (2015) - [j1]Feng Jiang, K. Bharanitharan, Shovan Barma
, Hailiang Wang, Debin Zhao:
Game theory based no-reference perceptual quality assessment for stereoscopic images. J. Supercomput. 71(9): 3337-3352 (2015) - 2013
- [c1]Shovan Barma
, Bo-Wei Chen, Hung-Ming Wang, Hung-Jui Wang, Jhing-Fa Wang:
Second Heart Sound (S2) Decomposition by Hilbert Vibration Decomposition (HVD) for Affective Signal Modeling and Learning. ICWL Workshops 2013: 223-233
Coauthor Index
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last updated on 2024-08-16 00:38 CEST by the dblp team
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