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

• Authors : Chug, Anuradha; Bhatia, Anshul; Singh, Amit Prakash

Subjects: DEEP learning; PLANT diseases; BLIGHT diseases (Botany)

• Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Sep2023, Vol. 27 Issue 18, p13613-13638, 26p

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Software Maintainability: Systematic Literature Review and Current Trends.

• Authors : Malhotra, Ruchika; Chug, Anuradha

• Source: International Journal of Software Engineering and Knowledge Engineering. 2016, Vol. 26, Issue 08, pages. 1221

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A Systematic Analysis of Machine Learning and Deep Learning Based Approaches for Plant Leaf Disease Classification: A Review.

• Authors : Kumar, Raj; Chug, Anuradha; Singh, Amit Prakash

Subjects: DEEP learning; NOSOLOGY; FUNGAL diseases of plantsINDIA

• Source: Journal of Sensors; 7/20/2022, p1-13, 13p

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

• Authors : Bhatia, Anshul; Chug, Anuradha; Singh, Amit Prakash

Subjects: GENETIC algorithms; SOYBEAN diseases & pests; SUPPORT vector machines

• Source: Intelligent Data Analysis; 2022, Vol. 26 Issue 4, p1023-1049, 27p

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A feature selection strategy for improving software maintainability prediction.

• Authors : Gupta, Shikha; Chug, Anuradha

Subjects: MAINTAINABILITY (Engineering); MEDIAN (Mathematics); COMPUTER software

• Source: Intelligent Data Analysis; 2022, Vol. 26 Issue 2, p311-344, 34p

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

• Authors : Gupta, Shikha; Chug, Anuradha

Subjects: BOOSTING algorithms; MACHINE learning; MAINTAINABILITY (Engineering)

• Source: International Journal of Interactive Multimedia & Artificial Intelligence; Dec2021, Vol. 7 Issue 2, p89-109, 21p

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Assessing Cross-Project Technique for Software Maintainability Prediction.

• Authors : Gupta, Shikha; Chug, Anuradha

Subjects: FORECASTING; MAINTAINABILITY (Engineering); SOFTWARE maintenance

• Source: Procedia Computer Science; 2020, Vol. 167, p656-665, 10p

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

• Authors : Ahlawat, Khyati; Chug, Anuradha; Singh, Amit Prakash

• Source: International Journal of Systems Assurance Engineering & Management; Aug2019, Vol. 10 Issue 4, p824-835, 12p

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Software maintainability prediction using an enhanced random forest algorithm.

• Authors : Gupta, Shikha¹ (AUTHOR) ; Chug, Anuradha¹ (AUTHOR)

Subjects: *RANDOM forest algorithms; *FORECASTING; *MAINTAINABILITY (Engineering)

• Source: Journal of Discrete Mathematical Sciences & Cryptography. Mar2020, Vol. 23 Issue 2, p441-449. 9p.

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