Research Articles [Journals and Conferences]

2024

[J9] T. K. Behera, S. Bakshi, M. A. Khan, H. M. Albarakati, “A Lightweight Multiscale-Multiobject Deep Segmentation Architecture for UAV-Based Consumer Applications,” IEEE Transactions on Consumer Electronics, 2024, DOI:  10.1109/TCE.2024.3367531

2023

[J8] T. K. Behera, S. Bakshi, M. Nappi, and P. K. Sa, “Superpixel-based Multiscale CNN approach towards Multiclass Object Segmentation from Aerial Images,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, DOI:  10.1109/JSTARS.2023.3239119

[J7] T. K. Behera, S. Bakshi, P. K. Sa, “A lightweight deep learning architecture for vegetation segmentation using UAV-captured aerial images,” Sustainable Computing: Informatics and Systems, 2022, DOI: 10.1016/j.suscom.2022.100841 

2022

[J6] T. K. Behera, M. A. Khan, S. Bakshi, “Brain MR Image Classification using Superpixel-based Deep Transfer Learning,” IEEE Journal of Biomedical and Health Informatics, 2022, DOI: 10.1109/JBHI.2022.3216270 (Accepted)

[J5] T. K. Behera, P. K. Sa, M. Nappi, S. Bakshi, “Satellite IoT Based Road Extraction from VHR Images Through Superpixel-CNN Architecture,” Big Data Research, 2022, DOI: 10.1016/j.bdr.2022.100334

[J4] T. K. Behera, S. Bakshi, P. K. Sa, “Vegetation Extraction from UAV-based Aerial Images through Deep Learning,” Computers and Electronics in Agriculture, 2022, DOI: 10.1016/j.compag.2022.107094 (https://github.com/drone-vision/AerialSegNet)

[J3] T.K. Behera, S. Bakshi, P.K. Sa, M. Nappi, A. Castiglione, P. Vijayakumar, and B. Gupta, “The NITRDrone Dataset to Address the Challenges for Road Extraction from Aerial Images,” Journal of Signal Processing Systems, 2022, DOI: 10.1007/s11265-022-01777-0 (https://github.com/drone-vision/NITRDrone-Dataset)

2021

[J2] N. K. S. Behera, T. K. Behera, M. Nappi, S. Bakshi, and P.K. Sa, "Futuristic person re-identification over internet of biometrics things (IoBT): Technical potential versus practical reality,"  Pattern Recognition Letters, 2021, DOI:  10.1016/j.patrec.2021.08.007 

2020

[J1] T.K. Behera, S. Bakshi, and P.K. Sa, "Aerial Data Aiding Smart Societal Reformation: Current Applications and Path Ahead," IEEE IT Professional, 2020, DOI: 10.1109/MITP.2020.3020433

2017

[C3] S. Subudhi, T.K. Behera, S. Panigrahi, "Use of OPTICS and Supervised Learning Methods for Database Intrusion Detection," in 2017 3rd International Conference on Computational Intelligence and Networks (CINE), IEEE, 2017, pp. 78-82, DOI: 10.1109/CINE.2017.10 

[J0] S. Subudhi, S. Panigrahi, T.K. Behera, "Detection of Mobile Phone Fraud Using Possibilistic Fuzzy C-Means Clustering and Hidden Markov Model," International Journal of Synthetic Emotions (IJSE), Vol. no. 2, 2016, pp. 23-44. DOI: 10.4018/IJSE.2016070102 

[C2] T. K. Behera and S. Panigrahi, “Credit card fraud detection using a neuro-fuzzy expert system", in Computational intelligence in data mining. Springer, 2017, pp. 835-843. DOI: 10.1007/978-981-10-3874-7_79 

2015

[C1] T. K. Behera and S. Panigrahi, “Credit Card Fraud Detection: A Hybrid Approach Using Fuzzy Clustering & Neural Network,” in 2015 Second International Conference on Advances in Computing and Communication Engineering. IEEE, 2015, pp. 494–499. DOI: 10.1109/ICACCE.2015.33 

Patents:

[P1] Application Number: 202331062418, Inventors: Tanmay Kumar Behera, Sambit Bakshi, Debbrota Paul Chowdhury, Camellia Roy Title: BHU-MANACHITRA: ANAUTONOMOUSRO- BOTIC SYSTEM AND METHOD FOR REAL-TIME LAND MAPPING OPERATIONS
Status: Under Examination

[P2] Application Number: 202331037113, Inventors: Tanmay Kumar Behera, Sima Das, Camellia Roy, Sambit Bakshi, Nimay Chandra Giri Title: ARTIFICIAL INTELLIGENCE TO ANALYSES THE EFFICIENCY OF PHOTOSYNTHESIS OF PLANTS ON THE AGRICULTURE Status: Published 

[P3] Application Number: 202331025612, Inventors: Sima Das, Tanmay Kumar Behera, Camellia Roy, Sambit Bakshi, Nimay Chandra Giri Title: AN AI AND ML BASED ROBOTICS FOR REMOTE AGRICULTURAL OPERATIONS AND MONITORING Status: Under Examination