K. Suganya Devi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Convolutional Neural Network

Swarm Optimization

Cascade Classifier

Top Venues

Artif. Intell. Rev.

Comput. methods Biomech. Biomed. Eng. Imaging Vis.

Publications

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) (2024)
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) (2024)
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) (2023)
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) (2022)
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) (2021)
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) (2021)
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) (2021)
K. Sekar, K. Suganya Devi, P. Srinivasan
Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs. Wirel. Pers. Commun. 117 (2) (2021)
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)