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Dr. Anshul Bhatia
Dr. Anshul Bhatia
Assistant Professor, USAR, GGSIP University EDC
Verified email at ipu.ac.in - Homepage
Title
Cited by
Cited by
Year
Application of extreme learning machine in plant disease prediction for highly imbalanced dataset
A Bhatia, A Chug, A Prakash Singh
Journal of Statistics and Management Systems 23 (6), 1059-1068, 2020
602020
Recent Advancements in Multimedia Big Data Computing for IoT Applications in Precision Agriculture: Opportunities, Issues, and Challenges
S Verma, A Bhatia, A Chug, AP Singh
Multimedia Big Data Computing for IoT Applications 163, 391-416, 2019
412019
Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant
A Bhatia, A Chug, AP Singh
7th International Conference on Signal Processing and Integrated Networks …, 2020
392020
A novel framework for image-based plant disease detection using hybrid deep learning approach
A Chug, A Bhatia, AP Singh, D Singh
Soft Computing 27, 13613–13638, 2023
292023
Statistical analysis of machine learning techniques for predicting powdery mildew disease in tomato plants
A Bhatia, A Chug, AP Singh
International Journal of Intelligent Engineering Informatics 9 (1), 24-58, 2021
162021
Plant Disease Detection for High Dimensional Imbalanced Dataset using an Enhanced Decision Tree Approach
A Bhatia, A Chug, AP Singh
International Journal of Future Generation Communication and Networking 13 …, 2020
142020
A machine learning-based spray prediction model for tomato powdery mildew disease
A Bhatia, A Chug, AP Singh, RP Singh, D Singh
Indian Phytopathology, 1-6, 2022
72022
A Forecasting Technique for Powdery Mildew Disease Prediction in Tomato Plants
A Bhatia, A Chug, AP Singh, RP Singh, D Singh
Proceedings of Second Doctoral Symposium on Computational Intelligence …, 2022
42022
Fractional mega trend diffusion function-based feature extraction for plant disease prediction
A Bhatia, A Chug, AP Singh, D Singh
International Journal of Machine Learning and Cybernetics 14 (1), 187-212, 2023
32023
A hybrid approach for noise reduction-based optimal classifier using genetic algorithm: A case study in plant disease prediction
A Bhatia, A Chug, AP Singh, D Singh
Intelligent Data Analysis 26 (4), 1023-1049, 2022
32022
Advance shadow edge detection and removal (ASEDR)
A Bhatia, J Yadav, E Jain
International Journal of Computational Intelligence Research 13 (2), 253-259, 2017
22017
Investigate the Impact of Resampling Techniques on Imbalanced Datasets: A Case Study in Plant Disease Prediction
A Bhatia, A Chug, AP Singh, D Singh
2021 Thirteenth International Conference on Contemporary Computing (IC3-2021 …, 2021
12021
Internet of Things (IOT): Confronts and Applications
J Yadav, A Bhatia, Sangeeta, E Jain, N Goyal
International Journal for Research in Applied Science & Engineering …, 2017
12017
A Deep Learning-Based Forecasting System to Predict Early Blight Disease in Tomato Plants
A Bhatia, A Chug, AP Singh, D Singh
Management of Postharvest Diseases and Value Addition of Horticultural Crops …, 2022
2022
A Multi-Sensor and Image-Based Fusion Framework for Automated Detection of Early Blight Disease in Tomato Plants
AP Singh, A Chug, A Bhatia
IN Patent App. 202,111,047,712, 2021
2021
MFPMT: A Machine Learning-Based Forecasting System for Powdery Mildew Disease in Tomato Plant
A Bhatia, A Chug, AP Singh
7th International Conference on Phytopathology in Achieving UN Sustainable …, 2020
2020
Spray Prediction Models for Powdery Mildew Disease in Tomato
A Bhatia, A Chug, AP Singh
8th Asian-Australasian Conference on Precision Agriculture (8ACPA-2019), 278, 2019
2019
Evaluating The Impact of Resampling Techniques for Plant Disease Classification
A Bhatia, A Chug, AP Singh
International Conference on Knowledge and Policy for Sustainable Development …, 2019
2019
Applying Genetic Algorithm on Dynamic Programming Problems
Sangeeta, A Bhatia, E Jain
International Journal for Research in Applied Science & Engineering …, 2017
2017
Shadow Detection and Its Removal from Images Using Advance Strong Edge Detection Method (ASED)
A Bhatia, J Yadav, E Jain, Sangeeta
International Journal for Research in Applied Science & Engineering …, 2017
2017
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