Satish Kumar Satti

16 papers Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification.
Ecol. Informatics
Goluguri N. V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, Gurpreet Singh Chhabra, Kshira Sagar Sahoo, Amir H. Gandomi
2025 J jnl
Efficient detection and partitioning of overlapped red blood cells using image processing approach.
Innov. Syst. Softw. Eng.
Prasenjit Dhar, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan
2025 J jnl
Time-and-Traffic-aware collaborative task offloading with service caching-replacement in cloud-assisted mobile edge computing.
Clust. Comput.
Gurpreet Singh Chhabra, Satish Kumar Satti, Goluguri N. V. Rajareddy, Abhijeet Mahapatra, Gondi Lakshmeeswari, Kaushik Mishra
2024 J jnl
An hybrid soft attention based XGBoost model for classification of poikilocytosis blood cells.
Evol. Syst.
Prasenjit Dhar, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan
2024 J jnl
Terahertz video-based hidden object detection using YOLOv5m and mutation-enabled salp swarm algorithm for enhanced accuracy and faster recognition.
J. Supercomput.
J. Jayachitra, K. Suganya Devi, S. V. Manisekaran, Satish Kumar Satti
2023 J jnl
An optimal deep learning model for recognition of hidden hazardous weapons in terahertz and millimeter wave images.
Earth Sci. Informatics
J. Jayachitra, Suganya Devi K, S. V. Manisekaran, Satish Kumar Satti
2023 J jnl
EEEDCS: Enhanced energy efficient distributed compressive sensing based data collection for WSNs.
Sustain. Comput. Informatics Syst.
K. Sekar, Suganya Devi K, Satish Kumar Satti, P. Srinivasan
2023 J jnl
HPKNN: Hyper-parameter optimized KNN classifier for classification of poikilocytosis.
Int. J. Imaging Syst. Technol.
Prasenjit Dhar, Suganya Devi Kothandapani, Satish Kumar Satti, Srinivasan Padmanabhan
2023 J jnl
Recognizing the Indian Cautionary Traffic Signs using GAN, Improved Mask R-CNN, and Grab Cut.
Concurr. Comput. Pract. Exp.
Satish Kumar Satti, Suganya Devi K, Srinivasan P.
2022 — conf
A Hybrid Biosignal Compression Model for Healthcare Sensor Networks.
IICAIET
T. Dheepa, K. Sekar, Satish Kumar Satti, Goluguri N. V. Rajareddy
2022 J jnl
Detecting potholes on Indian roads using Haar feature-based cascade classifier, convolutional neural network, and instance segmentation.
Soft Comput.
Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan
2022 J jnl
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.
Satish Kumar Satti, K. SuganyaDevi, Srinivasan P.
2022 J jnl
Unified approach for detecting traffic signs and potholes on Indian roads.
J. King Saud Univ. Comput. Inf. Sci.
Satish Kumar Satti, K. SuganyaDevi, Prasad Maddula, N. V. Vishnumurthy Ravipati
2021 J jnl
A machine learning approach for detecting and tracking road boundary lanes.
ICT Express
Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan
2021 — ch.
Detail Study of Different Algorithms for Early Detection of Cancer.
Health Informatics
Prasenjit Dhar, K. Suganya Devi, Satish Kumar Satti, P. Srinivasan
2020 — conf
Enhancing and Classifying Traffic Signs Using Computer Vision and Deep Convolutional Neural Network.
MIND (1)
Satish Kumar Satti, K. Suganya Devi, Prasenjit Dhar, P. Srinivasan