Pratik Narang

Orcid: 0000-0003-1865-3512

According to our database1, Pratik Narang authored at least 51 papers between 2013 and 2024.

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Bibliography

2024
AGD-Net: Attention-Guided Dense Inception U-Net for Single-Image Dehazing.
Cogn. Comput., March, 2024

A Universal Metric for Robust Evaluation of Synthetic Tabular Data.
IEEE Trans. Artif. Intell., January, 2024

FAIR-FER: A Latent Alignment Approach for Mitigating Bias in Facial Expression Recognition (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges.
Computing, April, 2023

LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility.
CoRR, 2023

Fast and Lightweight UAV-based Road Image Enhancement Under Multiple Low-Visibility Conditions.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Attention-enabled Deep Neural Network for Enhancing UAV-Captured Pavement Imagery in Poor Visibility.
Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

InFER: A Multi-Ethnic Indian Facial Expression Recognition Dataset.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Drone Surveillance in Extreme Low Visibility Conditions.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

LVRNet: Lightweight Image Restoration for Aerial Images under Low Visibility (Student Abstract).
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
DroneSegNet: Robust Aerial Semantic Segmentation for UAV-Based IoT Applications.
IEEE Trans. Veh. Technol., 2022

Correction to "ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions".
IEEE Trans. Intell. Transp. Syst., 2022

AENeT: an attention-enabled neural architecture for fake news detection using contextual features.
Neural Comput. Appl., 2022

Low-Light Image Enhancement for UAVs With Multi-Feature Fusion Deep Neural Networks.
IEEE Geosci. Remote. Sens. Lett., 2022

Deep Learning Enhanced UAV Imagery for Critical Infrastructure Protection.
IEEE Internet Things Mag., 2022

TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data.
CoRR, 2022

2021
ISDNet: AI-enabled Instance Segmentation of Aerial Scenes for Smart Cities.
ACM Trans. Internet Techn., 2021

DeepFakE: improving fake news detection using tensor decomposition-based deep neural network.
J. Supercomput., 2021

ReViewNet: A Fast and Resource Optimized Network for Enabling Safe Autonomous Driving in Hazy Weather Conditions.
IEEE Trans. Intell. Transp. Syst., 2021

AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions.
IEEE Netw., 2021

A hybrid approach for search and rescue using 3DCNN and PSO.
Neural Comput. Appl., 2021

EchoFakeD: improving fake news detection in social media with an efficient deep neural network.
Neural Comput. Appl., 2021

DerainGAN: Single image deraining using wasserstein GAN.
Multim. Tools Appl., 2021

FakeBERT: Fake news detection in social media with a BERT-based deep learning approach.
Multim. Tools Appl., 2021

TheiaNet: Towards fast and inexpensive CNN design choices for image dehazing.
J. Vis. Commun. Image Represent., 2021

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping.
CoRR, 2021

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement.
CoRR, 2021

Domain-Aware Unsupervised Hyperspectral Reconstruction for Aerial Image Dehazing.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

A Hybrid Model for Effective Fake News Detection with a Novel COVID-19 Dataset.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

MCNNet: Generalizing Fake News Detection with a Multichannel Convolutional Neural Network using a Novel COVID-19 Dataset.
Proceedings of the CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, 2021

Learning to Enhance Visual Quality via Hyperspectral Domain Mapping (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Improving Aerial Instance Segmentation in the Dark with Self-Supervised Low Light Enhancement (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep3DSCan: Deep residual network and morphological descriptor based framework for lung cancer classification and 3D segmentation.
IET Image Process., 2020

Drone-surveillance for search and rescue in natural disaster.
Comput. Commun., 2020

FNDNet - A deep convolutional neural network for fake news detection.
Cogn. Syst. Res., 2020



HIDeGan: A Hyperspectral-guided Image Dehazing GAN.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


DeblurRL: Image Deblurring with Deep Reinforcement Learning.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

2019
Modeling and simulation of temperature drift for ISFET-based pH sensor and its compensation through machine learning techniques.
Int. J. Circuit Theory Appl., 2019

2016
Noise-resistant mechanisms for the detection of stealthy peer-to-peer botnets.
Comput. Commun., 2016

Downlink power control for latency aware grid energy savings in green cellular networks.
Proceedings of the 37th IEEE Sarnoff Symposium 2016, Newark, NJ, USA, 2016

Anomaly detection in diurnal CPS monitoring data using a local density approach.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

2015
Game-theoretic strategies for IDS deployment in peer-to-peer networks.
Inf. Syst. Frontiers, 2015

2014
PeerShark: flow-clustering and conversation-generation for malicious peer-to-peer traffic identification.
EURASIP J. Inf. Secur., 2014

PeerShark: Detecting Peer-to-Peer Botnets by Tracking Conversations.
Proceedings of the 35. IEEE Security and Privacy Workshops, 2014

Machine-learning approaches for P2P botnet detection using signal-processing techniques.
Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, 2014

HaDeS: A Hadoop-based Framework for Detection of Peer-to-Peer Botnets.
Proceedings of the 20th International Conference on Management of Data, 2014

2013
Real-time Peer-to-Peer Botnet Detection Framework based on Bayesian Regularized Neural Network.
CoRR, 2013

Feature selection for detection of peer-to-peer botnet traffic.
Proceedings of the 6th ACM India Computing Convention, 2013


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