K. SuganyaDevi
Orcid: 0000-0003-3945-8601Affiliations:
- National Institute Of Technology Silchar, Department of Computer Science and Engineering, Assam, India
According to our database1,
K. SuganyaDevi
authored at least 22 papers
between 2012 and 2024.
Collaborative distances:
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Bibliography
2024
Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition.
J. Supercomput., April, 2024
An hybrid soft attention based XGBoost model for classification of poikilocytosis blood cells.
Evol. Syst., April, 2024
2023
CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023
An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images.
Earth Sci. Informatics, September, 2023
EEEDCS: Enhanced energy efficient distributed compressive sensing based data collection for WSNs.
Sustain. Comput. Informatics Syst., April, 2023
Recognizing the Indian Cautionary Traffic Signs using GAN, Improved Mask R-CNN, and Grab Cut.
Concurr. Comput. Pract. Exp., January, 2023
2022
J. King Saud Univ. Comput. Inf. Sci., November, 2022
Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation.
Soft Comput., 2022
R-ICTS: Recognize the Indian cautionary traffic signs in real-time using an optimized adaptive boosting cascade classifier and a convolutional neural network.
Concurr. Comput. Pract. Exp., 2022
2021
Health Informatics, 2021
Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images - A Review.
Health Informatics, 2021
Wirel. Pers. Commun., 2021
Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases.
Neural Comput. Appl., 2021
ICT Express, 2021
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey.
Artif. Intell. Rev., 2021
2020
Automatic method for classification of groundnut diseases using deep convolutional neural network.
Soft Comput., 2020
H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases.
Comput. Electron. Agric., 2020
2019
Concurr. Comput. Pract. Exp., 2019
2018
A study on various methods used for video summarization and moving object detection for video surveillance applications.
Multim. Tools Appl., 2018
2014
OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences.
Eng. Appl. Artif. Intell., 2014
2012
OF-SMED: An optimal foreground detection method in surveillance system for traffic monitoring.
Proceedings of the 2012 International Conference on Cyber Security, 2012