Satish Kumar Satti

Orcid: 0000-0002-1443-3873

According to our database1, Satish Kumar Satti authored at least 13 papers between 2021 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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
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

A Hybrid Biosignal Compression Model for Healthcare Sensor Networks.
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.
Health Informatics, 2021

A machine learning approach for detecting and tracking road boundary lanes.
ICT Express, 2021


  Loading...