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Pandia Rajan Jeyaraj
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2020 – today
- 2024
- [j9]Mohana Karthiga Pasumponthevar, Pandia Rajan Jeyaraj
:
Reliability analysis and Terahertz characterization of circuit board defect employing branchy neural network in edge-cloud fusion architecture. Eng. Appl. Artif. Intell. 138: 109468 (2024) - 2023
- [j8]Belqasem Aljafari
Electric vehicle optimum charging-discharging scheduling with dynamic pricing employing multi agent deep neural network. Comput. Electr. Eng. 105: 108555 (2023) - [j7]Pandia Rajan Jeyaraj, Edward Rajan Samuel Nadar:
Medical image annotation and classification employing pyramidal feature specific lightweight deep convolution neural network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(5): 1678-1689 (2023) - [j6]Pandia Rajan Jeyaraj
MR image restoration and segmentation via denoising deep adversarial network for blood vessels accurate diagnosis. Signal Process. Image Commun. 117: 117013 (2023) - 2020
- [j5]Pandia Rajan Jeyaraj
Dynamic image reconstruction and synthesis framework using deep learning algorithm. IET Image Process. 14(7): 1219-1226 (2020) - [j4]Pandia Rajan Jeyaraj
High-performance dynamic magnetic resonance image reconstruction and synthesis employing deep feature learning convolutional networks. Int. J. Imaging Syst. Technol. 30(2): 380-390 (2020) - [j3]Pandia Rajan Jeyaraj
Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System. J. Medical Syst. 44(2): 34 (2020) - [j2]Pandia Rajan Jeyaraj
Adaptive machine learning algorithm employed statistical signal processing for classification of ECG signal and myoelectric signal. Multidimens. Syst. Signal Process. 31(4): 1299-1316 (2020)
2010 – 2019
- 2019
- [j1]Pandia Rajan Jeyaraj
Deep Boltzmann machine algorithm for accurate medical image analysis for classification of cancerous region. Cogn. Comput. Syst. 1(3): 85-90 (2019)
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