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H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases.

, , and . Comput. Electron. Agric., (2020)

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H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases., , and . Comput. Electron. Agric., (2020)R-ICTS: Recognize the Indian cautionary traffic signs in real-time using an optimized adaptive boosting cascade classifier and a convolutional neural network., , and . Concurr. Comput. Pract. Exp., (2022)Unified approach for detecting traffic signs and potholes on Indian roads., , , and . J. King Saud Univ. Comput. Inf. Sci., 34 (10 Part B): 9745-9756 (November 2022)Automatic method for classification of groundnut diseases using deep convolutional neural network., , and . Soft Comput., 24 (21): 16347-16360 (2020)A study on various methods used for video summarization and moving object detection for video surveillance applications., , , and . Multim. Tools Appl., 77 (18): 23273-23290 (2018)Secure cloud-based e-learning system with access control and group key mechanism., , , and . Concurr. Comput. Pract. Exp., (2019)OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences., and . Eng. Appl. Artif. Intell., (2014)OF-SMED: An optimal foreground detection method in surveillance system for traffic monitoring., , and . CyberSec, page 12-17. IEEE, (2012)