Anuradha Chug

Multim. Tools Appl., February, 2024

Plant Disease Detection and Severity Assessment Using Image Processing and Deep Learning Techniques.

[BibT_eX]

[DOI]

SN Comput. Sci., January, 2024

2023

PDS-MCNet: a hybrid framework using MobileNetV2 with SiLU6 activation function and capsule networks for disease severity estimation in plants.

[BibT_eX]

[DOI]

Neural Comput. Appl., September, 2023

Classification of crop leaf diseases using image to image translation with deep-dream.

[BibT_eX]

[DOI]

Multim. Tools Appl., September, 2023

Fractional mega trend diffusion function-based feature extraction for plant disease prediction.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., January, 2023

A novel framework for image-based plant disease detection using hybrid deep learning approach.

[BibT_eX]

[DOI]

Soft Comput., 2023

Multi-Disease Classification in In-Field Coffee Leaves Using Cost-Efficient Ensemble Classifier.

[BibT_eX]

[DOI]

Ayushi Gupta

Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022

A feature selection strategy for improving software maintainability prediction.

[BibT_eX]

[DOI]

Shikha Gupta

Intell. Data Anal., 2022

A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction.

[BibT_eX]

[DOI]

Intell. Data Anal., 2022

A Systematic Literature Review of Machine Learning Techniques Deployed in Agriculture: A Case Study of Banana Crop.

[BibT_eX]

[DOI]

IEEE Access, 2022

2021

Identifying the Optimal Refactoring Dependencies Using Heuristic Search Algorithms to Maximize Maintainability.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2021

A modified label propagation algorithm for community detection in attributed networks.

[BibT_eX]

[DOI]

Deepanshu Malhotra

Int. J. Inf. Manag. Data Insights, 2021

An Extensive Analysis of Machine Learning Based Boosting Algorithms for Software Maintainability Prediction.

[BibT_eX]

[DOI]

Shikha Gupta

Int. J. Interact. Multim. Artif. Intell., 2021

Application of metaheuristic techniques in software quality prediction: a systematic mapping study.

[BibT_eX]

[DOI]

Kirti Lakra

Int. J. Intell. Eng. Informatics, 2021

Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants.

[BibT_eX]

[DOI]

Anshul Bhatia

Int. J. Intell. Eng. Informatics, 2021

A Novel Hybrid Sampling Algorithm for Solving Class Imbalance Problem in Big Data.

[BibT_eX]

[DOI]

Khyati Ahlawat

Adv. Data Sci. Adapt. Anal., 2021

Investigate the Impact of Resampling Techniques on Imbalanced Datasets: A Case Study in Plant Disease Prediction.

[BibT_eX]

[DOI]

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

Analyzing the Relationship between Software Metrics and Bad Smells Using Critical Metric Value (CMV).

[BibT_eX]

[DOI]

Mansi Agnihotri

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

2020

A Systematic Literature Survey of Software Metrics, Code Smells and Refactoring Techniques.

[BibT_eX]

[DOI]

Mansi Agnihotri

J. Inf. Process. Syst., 2020

Impact of Hyperparameter Tuning on Deep Learning Based Estimation of Disease Severity in Grape Plant.

[BibT_eX]

[DOI]

Proceedings of the Recent Advances on Soft Computing and Data Mining, 2020

2019

Benchmarking framework for class imbalance problem using novel sampling approach for big data.

[BibT_eX]

[DOI]

Khyati Ahlawat

Int. J. Syst. Assur. Eng. Manag., 2019

Empirical Evaluation of Map Reduce Based Hybrid Approach for Problem of Imbalanced Classification in Big Data.

[BibT_eX]

[DOI]

Khyati Ahlawat

Int. J. Grid High Perform. Comput., 2019

2018

Prediction Models for Identification and Diagnosis of Tomato Plant Diseases.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Conference on Advances in Computing, 2018

Recent Advancements in Image-Based Prediction Models for Diagnosis of Plant Diseases.

[BibT_eX]

[DOI]

Proceedings of 3rd International Conference on Computer Vision and Image Processing - CVIP 2018, Jabalpur, India, September 29, 2018

2017

Evaluation of instance-based feature subset selection algorithm for maintainability prediction.

[BibT_eX]

[DOI]

Kanika Gupta

Proceedings of the 2017 International Conference on Advances in Computing, 2017

Determination of optimum refactoring sequence using A∗ algorithm after prioritization of classes.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Advances in Computing, 2017

A quality enhancement through defect reduction using refactoring operation.

[BibT_eX]

[DOI]

Monika Gupta

Proceedings of the 2017 International Conference on Advances in Computing, 2017

2016

Agile Methodologies in Software Maintenance: A Systematic Review.

[BibT_eX]

[DOI]

Informatica (Slovenia), 2016

Software Maintainability: Systematic Literature Review and Current Trends.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2016

Sequencing of refactoring techniques by Greedy algorithm for maximizing maintainability.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Advances in Computing, 2016

An empirical study to assess the effects of refactoring on software maintainability.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Advances in Computing, 2016

2015

Prioritization of Classes for Refactoring: A Step towards Improvement in Software Quality.

[BibT_eX]

[DOI]

Priyanka Khosla

Proceedings of the Third International Symposium on Women in Computing and Informatics, 2015

2014

Application of Group Method of Data Handling model for software maintainability prediction using object oriented systems.

[BibT_eX]

[DOI]

Int. J. Syst. Assur. Eng. Manag., 2014

Application of Evolutionary Algorithms for Software Maintainability Prediction using Object-Oriented Metrics.

[BibT_eX]

[DOI]