Satish Kumar Satti

According to our database, Satish Kumar Satti authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition.

J. Jayachitra, K. Suganya Devi, S. V. Manisekaran, Satish Kumar Satti

J. Supercomput., April, 2024

An hybrid soft attention based XGBoost model for classification of poikilocytosis blood cells.

Prasenjit Dhar, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan

Evol. Syst., April, 2024

2023

An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images.

J. Jayachitra, Suganya Devi K, S. V. Manisekaran, Satish Kumar Satti

Earth Sci. Informatics, September, 2023

HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis.

Prasenjit Dhar, Suganya Devi Kothandapani, Satish Kumar Satti, Srinivasan Padmanabhan

Int. J. Imaging Syst. Technol., May, 2023

EEEDCS: Enhanced energy efficient distributed compressive sensing based data collection for WSNs.

K. Sekar, Suganya Devi K, Satish Kumar Satti, P. Srinivasan

Sustain. Comput. Informatics Syst., April, 2023

Recognizing the Indian Cautionary Traffic Signs using GAN, Improved Mask R-CNN, and Grab Cut.

Satish Kumar Satti, Suganya Devi K, Srinivasan P

Concurr. Comput. Pract. Exp., January, 2023

2022

Unified approach for detecting traffic signs and potholes on Indian roads.

Satish Kumar Satti, K. SuganyaDevi, Prasad Maddula, N. V. Vishnumurthy Ravipati

J. King Saud Univ. Comput. Inf. Sci., November, 2022

Indian Cautionary Traffic Sign (ICTS) data-set.

Satish Kumar Satti, Suganya Devi K

Dataset, April, 2022

Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation.

Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan

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.

Satish Kumar Satti, K. SuganyaDevi, Srinivasan P

Concurr. Comput. Pract. Exp., 2022

A Hybrid Biosignal Compression Model for Healthcare Sensor Networks.

T. Dheepa, K. Sekar, Satish Kumar Satti, Goluguri N. V. Rajareddy

Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2022

2021

Detail Study of Different Algorithms for Early Detection of Cancer.

Prasenjit Dhar, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan

Health Informatics, 2021

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

Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan

ICT Express, 2021

2020

Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network.

Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan

Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020