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Satish Kumar Satti
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2020 – today
- 2024
- [j10]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) - [j9]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
- [j8]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) - [j7]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) - [j6]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) - [j5]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
- [j4]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) - [j3]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) - [j2]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) - [c2]T. Dheepa
, K. Sekar, Satish Kumar Satti
, Goluguri N. V. Rajareddy:
A Hybrid Biosignal Compression Model for Healthcare Sensor Networks. IICAIET 2022: 1-5 - [d1]Satish Kumar Satti, Suganya Devi K:
Indian Cautionary Traffic Sign (ICTS) data-set. IEEE DataPort, 2022 - 2021
- [j1]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) - [p1]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 - 2020
- [c1]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
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last updated on 2024-07-08 21:28 CEST by the dblp team
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