P. Srinivasan

14 papers Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
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
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
2023 J jnl
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.
Prasenjit Dhar, K. Suganya Devi, P. Srinivasan
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
Qualitative Abnormalities of Peripheral Blood Smear Images Using Deep Learning Techniques.
Intell. Autom. Soft Comput.
G. Arutperumjothi, K. Suganya Devi, C. Rani, P. Srinivasan
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
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
2021 — ch.
Diagnosis Evaluation and Interpretation of Qualitative Abnormalities in Peripheral Blood Smear Images - A Review.
Health Informatics
K. Suganya Devi, G. Arutperumjothi, P. Srinivasan
2021 J jnl
Energy Efficient Data Gathering using Spatio-temporal Compressive Sensing for WSNs.
Wirel. Pers. Commun.
K. Sekar, K. Suganya Devi, P. Srinivasan
2021 J jnl
Rice-net: an efficient artificial fish swarm optimization applied deep convolutional neural network model for identifying the Oryza sativa diseases.
Neural Comput. Appl.
N. V. Raja Reddy Goluguri, K. Suganya Devi, 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
2020 J jnl
H2K - A robust and optimum approach for detection and classification of groundnut leaf diseases.
Comput. Electron. Agric.
K. SuganyaDevi, P. Srinivasan, Sivaji Bandhopadhyay
2018 J jnl
A study on various methods used for video summarization and moving object detection for video surveillance applications.
Multim. Tools Appl.
A. Senthil Murugan, K. SuganyaDevi, A. Sivaranjani, P. Srinivasan
2023 — conf
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection.
AISec
Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
2026 — preprint
CCX: Enabling Unmodified Intel SGX Applications on Arm CCA.
arXiv
Matti Schulze, Thorsten Holz, Felix C. Freiling