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M. Priyadharshini

Deep learning for material synthesis and manufacturing systems: A review
2021 · V. Bhuvaneswari, M. Priyadharshini, et al. · Materials Today Proceedings · 77
Fiber Reinforced Composite Manufacturing With the Aid of Artificial Intelligence – A State-of-the-Art Review
2022 · M. Priyadharshini, D. Balaji, et al. · Archives of Computational Methods in Engineering · 62
Properties and Characterization Techniques for Waterborne Polyurethanes
2021 · M. Ramesh, L. Rajeshkumar, et al. · Advances in Science, Technology & Innovation/Advances in science, technology & innovation · 25
CNN Model Suitability Analysis for Prediction of Tomato Leaf Diseases
2023 · Cheemaladnne Vengaiah, M. Priyadharshini · International Conference on Information Systems and Computer Networks (ISCON) · 17
Enhancing Alzheimer’s disease classification with a transformer-based model using self-supervised learning
2026 · M. Priyadharshini, V. Murugesh, et al. · Scientific Reports · 13
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A population based optimization of convolutional neural networks for chronic kidney disease prediction
2025 · M. Priyadharshini, V. Murugesh, et al. · Scientific Reports · 12
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Artificial Intelligence with Additive Manufacturing
2023 · Devarajan Balaji, M. Priyadharshini, et al. · CRC Press eBooks · 9
Deep Learning for the Selection of Multiple Analogs
2022 · C. Deepa, D. Balaji, et al. · Wiley eBooks · 7
Enhancing global microplastic pollution analysis using machine learning: a longitudinal study of seasonal trends and anomaly detection
2025 · S. Shiny, M. Priyadharshini, et al. · Environment Development and Sustainability · 4
LaCK: Lung Cancer Classification and Detection using Convolutional Neural Network-based Gated Recurrent Unit Neural Network Model
2024 · Machakanti Navya Thara, Kalyan Chatterjee, et al. · Asia Pacific Conference on Innovation in Technology (APCIT) · 3
Accurate Prediction of Leaf Disease in Pepper Bell using Deep Learning Algorithm
2024 · N. Renuka, N. Kannan, et al. · Parul International Conference on Engineering and Technology (PICET) · 3
A novel adaptive multi-scale wavelet Galerkin method for solving fuzzy hybrid differential equations
2025 · V. Murugesh, M. Priyadharshini, et al. · Scientific Reports · 2
FedEnv-Net: Federated Neural Network for Decentralized Health Risk Prediction in Dynamic Urban Environments
2025 · M. Priyadharshini, V. Murugesh, et al. · International Conference on Pervasive Computational Technologies (ICPCT) · 2
Clearing the Air: A Multi-Objective Approach to Industrial Air Pollution Prediction with Bi-Directional Stacked LSTM Model
2024 · Kalyan Chatterjee, Mandadi Sriya Re, et al. · Research Square · 2
Methods and Techniques of Cybersecurity Intrusion Detection: Supervised Machine Learning
2025 · Tahseen Jahan, A. Hemalatha Reddy, et al. · Cognitive science and technology · 1
Prospects of using artificial neural network techniques for additive manufacturing abetted by patent landscape analysis – A concise review
2023 · M. Priyadharshini, S. Shakeel Ahamed, et al. · AIP conference proceedings · 1
RoseLeafNet
2026 · M. Priyadharshini, V. Murugesh, et al. · Chapman & Hall/CRC eBooks
EEPM a hybrid evolutionary and machine learning-based approach for efficient ODE integration
2026 · V. Murugesh, M. Priyadharshini, et al. · Discover Computing
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AugPSO-Net: An Optimized Deep Learning Model for Sugarcane Disease Classification Using Image Augmentation and Particle Swarm Optimization
2026 · M. Priyadharshini, Meganathan Ramasamy, et al. · Smart innovation, systems and technologies
ConvNexFed: A Federated Learning Framework for Image Classification with CNN
2025 · M. Priyadharshini, V.Murugesh, et al. · Asia Pacific Conference on Innovation in Technology (APCIT)
CNN-PEARL: A Novel Convolutional Neural Network with Positional Encoding and Attention Regularization for Enhanced Tabular Data Classification
2025 · M. Priyadharshini, V. Murugesh, et al. · International Conference on Responsible, Generative and Explainable AI (ResGenXAI)
DeepGCN-DynamicStack: A Novel Hybrid Model for Feature Extraction and Dynamic Meta-Learning Using Graph Convolutional Networks and Stacking Ensemble
2025 · M. Priyadharshini, V. Murugesh, et al. · International Conference on Information Systems and Computer Networks (ISCON)
Optimizing Energy Efficiency in Wireless Sensor Networks Using Machine Learning Techniques
2025 · A. Hemalatha Reddy, Jalapala Sinjini, et al. · Cognitive science and technology
Machine Learning Approaches for Sentiment Analysis in Social Media Using Soft Computing Techniques
2025 · M. Priyadharshini, V. Indumathi, et al. · Cognitive science and technology
Environmental Monitoring in Agriculture Using Wireless Sensor Networks (WSNs): Challenges and Applications
2025 · V. Indumathi, V. V. Bhavani, et al. · Cognitive science and technology
Works count: 28
Citation count: 240
H-index: 7
I10-index: 6
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