National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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All Publications

Sambit Bakshi

Associate Professor
bakshisambit@nitrkl.ac.in

K. K. Jena, S. K. Bhoi, S. Mohapatra, and S. Bakshi,"Hybrid deep learning approach for classification of music genres using wavelet and spectrogram analysis", Neural Computing and Applications, vol.35, pp.11223-11248, Springer 2023, 10.1007/s00521-023-08294-6       Article
G. Kumar, S. Bakshi, A. K. Sangaiah, and P. K. Sa,"Experimental evaluation of covariates effects on periocular biometrics: A robust security assessment framework", Journal of Data and Information Quality, vol.15, no.2, pp.1-25, ACM 2023, 10.1145/3579029       Article
C. Swain, M. N. Sahoo, A. Satpathy, K. Muhammad, S. Bakshi, and J.,"A-DAFTO: Artificial Cap Deferred Acceptance based Fair Task Offloading in Complex IoT-Fog Networks", IEEE Transactions on Consumer Electronics, IEEE 2023, 10.1109/TCE.2023.3262995       Article
S. Devi, M. N. Sahoo, and S. Bakshi,"Explainable Reverse Verification of Goodness of Classification of MRI Images by Clinical Experts", IEEE Journal of Biomedical and Health Informatics, IEEE, May 2023, 10.1109/JBHI.2023.3280184       Article
T. K. Behera, S. Bakshi, M. Nappi, and P. K. Sa,"Superpixel-based multiscale CNN approach towards multiclass object segmentation from UAV-captured aerial images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.16, pp.1771 - 1784, IEEE 2023, 10.1109/JSTARS.2023.3239119       Article
T. K. Behera, S. Bakshi, and P. K. Sa,"A lightweight deep learning architecture for vegetation segmentation using UAV-captured aerial images", Sustainable Computing: Informatics and Systems, vol.37, pp.100841, Elsevier 2023, 10.1016/j.suscom.2022.100841       Article
V. Kadha, N., S. Bakshi, and S. K. Das,"Forensic analysis of manipulation chains: A deep residual network for detecting JPEG-Manipulation-JPEG", Forensic Science International: Digital Investigation, vol.47, pp.301623, Elsevier 2023, 10.1016/j.fsidi.2023.301623       Article
G. Olague, R. Pineda, G. Ibarra-Vazquez, M. Olague, A. Martinez, S. Bakshi, and J. Vargas,"Adversarial attacks assessment of salient object detection via symbolic learning", IEEE Transactions on Emerging Topics in Computing, vol.11, no.4, pp.1018-1030, IEEE 2023, 10.1109/TETC.2023.3316549       Article
J. K. Rout, K. S. Sahoo, A. Dalmia, S. Bakshi, M. Bilal, and H. Song,"Understanding large scale network effects in detecting review spammers", IEEE Transactions on Computational Social Systems, IEEE 2023, 10.1109/TCSS.2023.3243139       Article
S. Gundreddy, A. R, R. Raman, K. Muhammad, and S. Bakshi,"Perspective distortion model for pedestrian trajectory prediction for consumer applications", IEEE Transactions on Consumer Electronics, IEEE 2023, 10.1109/TCE.2023.3318050       Article