K. SuganyaDevi

Orcid: 0000-0003-3945-8601

Affiliations:
  • National Institute Of Technology Silchar, Department of Computer Science and Engineering, Assam, India


According to our database1, K. SuganyaDevi authored at least 24 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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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

HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis.
Int. J. Imaging Syst. Technol., May, 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
Unified approach for detecting traffic signs and potholes on Indian roads.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Indian Cautionary Traffic Sign (ICTS) data-set.
Dataset, April, 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
Detail Study of Different Algorithms for Early Detection of Cancer.
Health Informatics, 2021

Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images - A Review.
Health Informatics, 2021

Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs.
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

A machine learning approach for detecting and tracking road boundary lanes.
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

Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network.
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020

2019
Secure cloud-based e-learning system with access control and group key mechanism.
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


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