Priyanka Chawla

Orcid: 0000-0002-6029-4122

According to our database1, Priyanka Chawla authored at least 18 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Correction to: Maize crop disease detection using NPNet-19 convolutional neural network.
Neural Comput. Appl., June, 2023

Vehicle detection and traffic density estimation using ensemble of deep learning models.
Multim. Tools Appl., March, 2023

Maize crop disease detection using NPNet-19 convolutional neural network.
Neural Comput. Appl., February, 2023

EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models.
Neural Comput. Appl., February, 2023

A cryptographic security framework for hybrid Cloud-Internet of Things network.
Secur. Priv., 2023

A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO).
J. Ambient Intell. Humaniz. Comput., 2023

HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model.
Expert Syst. Appl., 2023

2022
Performance improvement of Deep Learning Models using image augmentation techniques.
Multim. Tools Appl., 2022

Convolution network model based leaf disease detection using augmentation techniques.
Expert Syst. J. Knowl. Eng., 2022

2021
DEEDSP: Deadline-aware and energy-efficient dynamic service placement in integrated Internet of Things and fog computing environments.
Trans. Emerg. Telecommun. Technol., 2021

2020
Systematic review of deep learning techniques in plant disease detection.
Int. J. Syst. Assur. Eng. Manag., 2020

A novel approach of asymmetric key generation in symmetric AES via ECDH.
Int. J. Syst. Assur. Eng. Manag., 2020

2019
Framework for cloud-based software test data generation service.
Softw. Pract. Exp., 2019

Testing Perspectives of Fog-Based IoT Applications.
Proceedings of the Fog and Edge Computing, 2019

2016
Cloud-based automatic test data generation framework.
J. Comput. Syst. Sci., 2016

2015
A novel strategy for automatic test data generation using soft computing technique.
Frontiers Comput. Sci., 2015

2012
Empirical evaluation of cloud-based testing techniques: a systematic review.
ACM SIGSOFT Softw. Eng. Notes, 2012

2010
Agent-based web intelligent tutoring system.
World Digit. Libr., 2010


  Loading...