FakeBERT: Fake news detection in social media with a BERT-based deep learning approach RK Kaliyar, A Goswami, P Narang Multimedia Tools and Applications, 1-24, 2021 | 542 | 2021 |
VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results D Du, et. al Computer Vision - ECCV 2020 Workshops - Glasgow, UK, Proceedings, Part IV …, 2020 | 391 | 2020 |
FNDNet–a deep convolutional neural network for fake news detection RK Kaliyar, A Goswami, P Narang, S Sinha Cognitive Systems Research 61, 32-44, 2020 | 390 | 2020 |
Drone-surveillance for search and rescue in natural disaster B Mishra, D Garg, P Narang, V Mishra Computer Communications 156, 1-10, 2020 | 318 | 2020 |
Mix design factors and strength prediction of metakaolin-based geopolymer M Lahoti, P Narang, KH Tan, EH Yang Ceramics international 43 (14), 11433-11441, 2017 | 167 | 2017 |
DeepFakE: improving fake news detection using tensor decomposition‑based deep neural network RK Kaliyar, A Goswami, P Narang The Journal of Supercomputing, 2020 | 152 | 2020 |
Ntire 2020 challenge on nonhomogeneous dehazing CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 122 | 2020 |
ReViewNet: A fast and resource optimized network for enabling safe autonomous driving in hazy weather conditions A Mehra, M Mandal, P Narang, V Chamola IEEE Transactions on Intelligent Transportation Systems 22 (7), 4256-4266, 2020 | 101 | 2020 |
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges H Rohmetra, N Raghunath, P Narang, V Chamola, M Guizani, ... Computing, 1-27, 2023 | 84 | 2023 |
EchoFakeD: improving fake news detection in social media with an efficient deep neural network RK Kaliyar, A Goswami, P Narang Neural Computing and Applications, 1-17, 2021 | 78 | 2021 |
Peershark: detecting peer-to-peer botnets by tracking conversations P Narang, S Ray, C Hota, V Venkatakrishnan 2014 IEEE Security and Privacy Workshops, 108-115, 2014 | 78 | 2014 |
Deep3DSCan: Deep residual network and morphological descriptor based framework forlung cancer classification and 3D segmentation G Bansal, V Chamola, P Narang, S Kumar, S Raman IET Image Processing 14 (7), 1240-1247, 2020 | 60 | 2020 |
Multiclass fake news detection using ensemble machine learning RK Kaliyar, A Goswami, P Narang 2019 IEEE 9th international conference on advanced computing (IACC), 103-107, 2019 | 60 | 2019 |
Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing A Mehta, H Sinha, M Mandal, P Narang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 49 | 2021 |
HIDeGan: A Hyperspectral-Guided Image Dehazing GAN A Mehta, H Sinha, P Narang, M Mandal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 46 | 2020 |
AENeT: an attention-enabled neural architecture for fake news detection using contextual features V Jain, RK Kaliyar, A Goswami, P Narang, Y Sharma Neural Computing and Applications 34 (1), 771-782, 2022 | 39 | 2022 |
Feature selection for detection of peer-to-peer botnet traffic P Narang, JM Reddy, C Hota Proceedings of the 6th ACM India computing convention, 1-9, 2013 | 37 | 2013 |
Modeling and simulation of temperature drift for ISFET‐based pH sensor and its compensation through machine learning techniques R Bhardwaj, S Sinha, N Sahu, S Majumder, P Narang, R Mukhiya International Journal of Circuit Theory and Applications, 2019 | 35 | 2019 |
PeerShark: flow-clustering and conversation-generation for malicious peer-to-peer traffic identification P Narang, C Hota, VN Venkatakrishnan EURASIP Journal on Information security 2014, 1-12, 2014 | 33 | 2014 |
A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset RK Kaliyar, A Goswami, P Narang 13th ICAART, 2021 | 31 | 2021 |