P. Srinivasan

According to our database, P. Srinivasan authored at least 14 papers between 2018 and 2024.

Collaborative distances:

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

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

CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine.

Prasenjit Dhar, K. Suganya Devi, P. Srinivasan

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

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

2021

Detail Study of Different Algorithms for Early Detection of Cancer.

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

Health Informatics, 2021

Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images - A Review.

K. Suganya Devi, G. Arutperumjothi, P. Srinivasan

Health Informatics, 2021

Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs.

K. Sekar, K. Suganya Devi, P. Srinivasan

Wirel. Pers. Commun., 2021

Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases.

N. V. Raja Reddy Goluguri, K. Suganya Devi, P. Srinivasan

Neural Comput. Appl., 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

H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases.

K. SuganyaDevi, P. Srinivasan, Sivaji Bandhopadhyay

Comput. Electron. Agric., 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

2018

A study on various methods used for video summarization and moving object detection for video surveillance applications.

A. Senthil Murugan, K. SuganyaDevi, A. Sivaranjani, P. Srinivasan

Multim. Tools Appl., 2018