D. Pavithra
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Automated Weed Detection in Crop Fields Using Convolutional Neural Networks: A Deep Learning Approach for Smart Farming Open
Deep learning is a part of modern machine learning that includes deep belief networks, deep neural networks, and recurrent neural networks. Computer vision, audio processing, and language comprehension are the most important sectors of dee…
Exploring fMRI Biomarkers for Early Autism Prediction in Fragile X Syndrome Open
Neurodevelopmental disorders like Autism Spectrum Disorder (ASD) and Fragile X Syndrome (FXS) often share similar behavioral and cognitive traits, which can make diagnosis and treatment more complex. While ASD typically arises from a mix o…
A Lightweight Attention based MobileNetv2 Model for Brain Tumor Segmentation and Severity of Tumor Classification using Support Vector Machine Open
Brain tumors are lumps of aberrant tissue that can develop into cancer and have a significant negative influence on a person's health. MRI scans of the brain can reveal them. Segmentation and classification are two elements in these approa…
Implementation of a Pharmacist-driven Biomarker-based Remotely Delivered Antimicrobial Stewardship Strategy during the COVID-19 Pandemic Open
Background: The in-person postprescription review-based antimicrobial stewardship (AMS) program was disrupted in acute care settings due to the implementation of rigorous infection control measures in response to the COVID-19 pandemic. The…
A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing Open
Patients now want a contemporary, advanced healthcare system that is faster and more individualized and that can keep up with their changing needs. An edge computing environment, in conjunction with 5G speeds and contemporary computing tec…
Diagnosis of Age Related Macular Degeneration by Curve Fitting RPE Layer Open
Optical Coherence Tomography (OCT) of the retina allow high resolution and non-invasive imaging for diagnosis of macular diseases such as Age Related Macular Degeneration (ARMD). The aim of this work is to suppress the speckle noise, segme…
A STUDY ON MACHINE LEARNING ALGORITHM IN MEDICAL DIAGNOSIS Open
Machine learning is a method of optimizing the performance criterion using the past experience. It builds the mathematical model by using the theory of statistics, as the main task is to infer from the samples provided. The algorithm uses …