Author

Sangeetha Jayaraman

Observed names: J. Sangeetha, Sangeetha J

ORCID: 0000-0001-6139-4566

Observed ORCID: 0000-0001-6139-4566

OpenAlex ID: A5073650707

Artificial intelligence for sustainable farming with dual branch convolutional graph attention networks in rice leaf disease detection

2025 · Ramesh Raman, Sangeetha Jayaraman · Scientific Reports · 19

LSTM autoencoder based parallel architecture for deepfake audio detection with dynamic residual encoding and feature fusion

2025 · Priyanka Muruganandham, Govardhana Rajan Thangasamy, et al. · Scientific Reports · 14

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A residual network integrated with multimodal fundus features for automatic glaucoma classification

2024 · Sangeetha J, Rekha D, et al. · Computers & Electrical Engineering · 7

Data-driven technique for disruption prediction in GOLEM tokamak using stacked ensembles with active learning

2022 · Jayakumar Chandrasekaran, Sangeetha Jayaraman · Review of Scientific Instruments · 5

An advanced double-phase stacking ensemble technique with active learning classifier: Toward reliable disruption prediction in Aditya tokamak

2024 · Priyanka Muruganandham, Sangeetha Jayaraman, et al. · Review of Scientific Instruments · 4

Magnetohydrodynamic Mode Identification for Golem Mirnov Coil Signals Using Singular Value Decomposition and Multichannel Variational Mode Decomposition Method for Analyzing Time–Frequency

2022 · Jayakumar Chandrasekaran, Sangeetha Jayaraman · Journal of Fusion Energy · 4

Continuous speech recognition for Tamil language using a novel semantic verification integrated with the transformer model

2025 · Priyanka Muruganandham, Sangeetha Jayaraman, et al. · EURASIP Journal on Audio Speech and Music Processing · 2

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A Novel Unsupervised Gated Recurrent Neural Network for Plasma Disruption Prediction in Aditya Tokamak Using Dynamic Threshold-Based Temporal Differentiation

2025 · Priyanka Muruganandham, Sangeetha Jayaraman, et al. · Journal of Fusion Energy · 2

Predicting Disruptions in Aditya Tokamak: A Deep Sequential Bi-LSTM Approach with Dynamic Time Window Aggregation

2025 · Priyanka Muruganandham, Sangeetha Jayaraman, et al. · Fusion Science & Technology · 2

Explainable AI Guided Feature Selection and Ensemble Framework for Breast Cancer Risk Prediction

2025 · Sangeetha J, Sathiya Devi S · International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) · 1

AI in Plant Pathology

2026 · J. Sangeetha, D. Rekha, et al. · Advances in computational intelligence and robotics book series

An Edge AI-Based IoT Framework for Directional Obstacle Awareness and Haptic-Audio Feedback in Visually Impaired Navigation

2026 · D. S. Mrudhula, S. Keerthikumar, et al. · National Academy Science Letters

Deep learning-based localization and tracking of elderly individuals for healthcare monitoring

2026 · Priyanka Muruganandham, Farjana Farvin Sahapudeen, et al. · Discover Artificial Intelligence

A Data-Driven Deep Learning Framework for Accurate Air Quality Index Prediction

2026 · D. Rekha, J. Sangeetha

Efficient imbalance data handling techniques for data-driven disruption classification of plasma in Aditya Tokamak

2026 · Priyanka Muruganandham, Sangeetha Jayaraman, et al. · AIP conference proceedings

A unified fusion learning model for automated rice leaf disease detection

2026 · Ramesh Raman, Priyanka Muruganandham, et al. · AIP conference proceedings

Advancing Agricultural Productivity and Addressing Labor Shortages Through Automation and Robotics

2025 · Ramesh Raman, Priyanka Muruganandham, et al.

A Hybrid Model Combining Random Forest and Bayesian Optimization for Plant Disease Diagnosis

2025 · Ramesh Raman, Sangeetha Jayaraman, et al. · International Conference on Computing Methodologies and Communication (ICCMC)

Works count: 18

Citation count: 60

H-index: 4

I10-index: 2