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P. Srinivasan 0003
Person information
- affiliation: National Institute of Technology, Department of Physics, Silchar, Assam, India
Other persons with the same name
- P. Srinivasan — disambiguation page
- P. Srinivasan 0001 — Graz University of Technology, Austria
- P. Srinivasan 0002 (aka: Purushothaman Srinivasan) — Globalfoundries Inc., Malta, NY, USA (and 1 more)
- Srinivasan P 0004 — VIT University, Vellore, India
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2020 – today
- 2024
- [j11]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) - 2023
- [j10]Prasenjit Dhar, K. Suganya Devi, P. Srinivasan:
CNN-RSVM: a hybrid approach for classification of poikilocytosis using convolutional neural network and radial kernel basis support vector machine. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(6): 2118-2129 (2023) - [j9]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) - [j8]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
- [j7]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) - [j6]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) - 2021
- [j5]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) - [j4]N. V. Raja Reddy Goluguri, K. Suganya Devi, P. Srinivasan:
Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases. Neural Comput. Appl. 33(11): 5869-5884 (2021) - [j3]K. Sekar, K. Suganya Devi, P. Srinivasan:
Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs. Wirel. Pers. Commun. 117(2): 1279-1295 (2021) - [p2]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 - [p1]K. Suganya Devi, G. Arutperumjothi, P. Srinivasan:
Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images - A Review. Health Informatics 2021: 341-365 - 2020
- [j2]K. SuganyaDevi, P. Srinivasan, Sivaji Bandhopadhyay:
H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases. Comput. Electron. Agric. 178: 105749 (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
2010 – 2019
- 2018
- [j1]A. Senthil Murugan, K. SuganyaDevi, A. Sivaranjani, P. Srinivasan:
A study on various methods used for video summarization and moving object detection for video surveillance applications. Multim. Tools Appl. 77(18): 23273-23290 (2018)
Coauthor Index
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