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ORCIDK. SuganyaDevi
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- affiliation: National Institute Of Technology Silchar, Department of Computer Science and Engineering, Assam, India
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Journal Articles
- 2025
[j21]Prasenjit Dhar
, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan:
Efficient detection and partitioning of overlapped red blood cells using image processing approach. Innov. Syst. Softw. Eng. 21(1): 79-91 (2025)- 2024
- [j20]Prasenjit Dhar, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan:
An hybrid soft attention based XGBoost model for classification of poikilocytosis blood cells. Evol. Syst. 15(2): 523-539 (2024) - [j19]J. Jayachitra, K. Suganya Devi, S. V. Manisekaran, Satish Kumar Satti:
Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition. J. Supercomput. 80(6): 8357-8382 (2024) - 2023
- [j18]Prasenjit Dhar, K. Suganya Devi, P. Srinivasan:
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. 11(6): 2118-2129 (2023) - [j17]Satish Kumar Satti, Suganya Devi K, Srinivasan P.:
Recognizing the Indian Cautionary Traffic Signs using GAN, Improved Mask R-CNN, and Grab Cut. Concurr. Comput. Pract. Exp. 35(2) (2023) - [j16]J. Jayachitra, Suganya Devi K, S. V. Manisekaran, Satish Kumar Satti:
An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images. Earth Sci. Informatics 16(3): 2709-2726 (2023) - [j15]G. Arutperumjothi, K. Suganya Devi, C. Rani, P. Srinivasan:
Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques. Intell. Autom. Soft Comput. 35(1): 1069-1086 (2023) - [j14]Prasenjit Dhar, Suganya Devi Kothandapani, Satish Kumar Satti, Srinivasan Padmanabhan:
HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis. Int. J. Imaging Syst. Technol. 33(3): 928-950 (2023) - [j13]K. Sekar, Suganya Devi K, Satish Kumar Satti, P. Srinivasan:
EEEDCS: Enhanced energy efficient distributed compressive sensing based data collection for WSNs. Sustain. Comput. Informatics Syst. 38: 100871 (2023) - 2022
- [j12]Satish Kumar Satti, K. SuganyaDevi, Srinivasan P.:
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. 34(10) (2022) - [j11]Satish Kumar Satti, K. SuganyaDevi, Prasad Maddula, N. V. Vishnumurthy Ravipati:
Unified approach for detecting traffic signs and potholes on Indian roads. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part B): 9745-9756 (2022) - [j10]Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan:
Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation. Soft Comput. 26(18): 9141-9153 (2022) - 2021
- [j9]N. V. Raja Reddy Goluguri, K. Suganya Devi, Nagesh Vadaparthi:
Image classifiers and image deep learning classifiers evolved in detection of Oryza sativa diseases: survey. Artif. Intell. Rev. 54(1): 359-396 (2021) - [j8]Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan:
A machine learning approach for detecting and tracking road boundary lanes. ICT Express 7(1): 99-103 (2021) - [j7]N. V. Raja Reddy Goluguri, K. Suganya Devi, P. Srinivasan:
Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases. Neural Comput. Appl. 33(11): 5869-5884 (2021) - [j6]K. Sekar, K. Suganya Devi, P. Srinivasan:
Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs. Wirel. Pers. Commun. 117(2): 1279-1295 (2021) - 2020
- [j5]K. SuganyaDevi, P. Srinivasan, Sivaji Bandhopadhyay:
H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases. Comput. Electron. Agric. 178: 105749 (2020) - [j4]M. P. Vaishnnave, K. SuganyaDevi, P. Ganeshkumar:
Automatic method for classification of groundnut diseases using deep convolutional neural network. Soft Comput. 24(21): 16347-16360 (2020) - 2019
- [j3]Kanimozhi Sakthivel, Arputharaj Kannan, K. SuganyaDevi, Selvamani Kadirvelu:
Secure cloud-based e-learning system with access control and group key mechanism. Concurr. Comput. Pract. Exp. 31(12) (2019) - 2018
- [j2]A. Senthil Murugan, K. SuganyaDevi, A. Sivaranjani, P. Srinivasan:
A study on various methods used for video summarization and moving object detection for video surveillance applications. Multim. Tools Appl. 77(18): 23273-23290 (2018) - 2014
- [j1]K. SuganyaDevi, N. Malmurugan:
OFGM-SMED: An Efficient and Robust Foreground Object Detection in Compressed Video Sequences. Eng. Appl. Artif. Intell. 28: 210-217 (2014)
Conference and Workshop Papers
- 2025
- [c3]S. Alagesan, R. Murugan, Suganya Devi K, Ramanujam Elangovan:
Classification of Epileptic Seizures Disorder Using CWT and Deep Learning Algorithm from Electroencephalograms. KST 2025: 121-126 - 2020
- [c2]Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan:
Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network. MIND (1) 2020: 243-253 - 2012
- [c1]K. SuganyaDevi, N. Malmurugan, R. Sivakumar:
OF-SMED: An optimal foreground detection method in surveillance system for traffic monitoring. CyberSec 2012: 12-17
Parts in Books or Collections
- 2021
- [p2]Prasenjit Dhar, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan:
Detail Study of Different Algorithms for Early Detection of Cancer. Health Informatics 2021: 207-232 - [p1]K. Suganya Devi, G. Arutperumjothi, P. Srinivasan:
Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images - A Review. Health Informatics 2021: 341-365
Data and Artifacts
- 2022
- [d1]Satish Kumar Satti, Suganya Devi K:
Indian Cautionary Traffic Sign (ICTS) data-set. IEEE DataPort, 2022
Coauthor Index
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