A Universal Foreground Segmentation Technique using Deep-Neural Network von Vijayan, Midhula, Mohan, R

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Contextual background modeling using deep convolutional neural network von Vijayan, Midhula, Mohan, R., Raguraman, Preeth

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A Regression-Based Approach to Diabetic Retinopathy Diagnosis Using Efficientnet von Vijayan, Midhula, S, Venkatakrishnan

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Advancing Glaucoma Diagnosis: Employing Confidence-Calibrated Label Smoothing Loss for Model Calibration von Vijayan, Midhula, Prasad, Deepthi Keshav, Srinivasan, Venkatakrishnan

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A Fully Residual Convolutional Neural Network for Background Subtraction von Vijayan, Midhula, Raguraman, Preeth, Mohan, R

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Moving object detection using vector image model von Vijayan, Midhula, Ramasundaram, Mohan

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A fast DGPSO-motion saliency map based moving object detection von Vijayan, Midhula, Ramasundaram, Mohan

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Background Modeling Using Deep-Variational Autoencoder von Vijayan, Midhula, Mohan, R.

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SYSTEM AND METHOD FOR RETINAL IMAGING von VIJAYAN, Midhula, PRASAD, Deepthi Keshav, CHIKKATUR, Harshitha Prakash, SRINIVASAN, Venkatakrishnan

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Moving Object Detection Using Local Binary Pattern and Gaussian Background Model von Athira, A.P., Vijayan, Midhula, Mohan, R.

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A Review of Foreground Segmentation based on Convolutional Neural Networks von Tadiparthi, Pavan Kumar, Bugatha, Sagarika, Bheemavarapu, Pradeep Kumar

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Dynamic-Aware Network for Moving Object Detection von Zhang, Hongrui, Yang, Luxia, Du, Xiaona

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Shear strength characteristic of geopolymer fly ash and egg shell powder stabilized clay soil von Diana, Willis, Hartono, Edi, Pratama, Wahyu Eka, Wardani, Weny Irma

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Modeling Cognitive System with Applied Machine learning in Additive Manufacturing using Fifth Generation Computer Systems von Ajithbabu, R, Krishnaranjani, R, Rohith, Jk, Kavileswarapu, Saranya, Siddharth, Nahar, Raunak

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