A5084589767- Systemic Sclerosis and Related Diseases
- Heart Rate Variability and Autonomic Control
- Artificial Intelligence in Healthcare
- Data Stream Mining Techniques
- Retinal Imaging and Analysis
- EEG and Brain-Computer Interfaces
- Leaf Properties and Growth Measurement
- Neural Networks and Applications
- Smart Agriculture and AI
- Blockchain Technology Applications and Security
- Diabetic Foot Ulcer Assessment and Management
- Non-Invasive Vital Sign Monitoring
M S Ramaiah University of Applied Sciences
2022
Visvesvaraya Technological University
2022
Today we have enormous amount of data available in every sector, with the advent technology available, it is possible to provide solutions many problems. In this paper are going problems related healthcare management using Machine Learning and Blockchain. Extracting only relevant information from use Learning. This done trained algorithms. Once stored, next problem Data sharing its reliability. where Blockchain comes into picture. The consensus makes sure that legitimate transactions secure....
Psychological stress has adverse effects on our autonomic nervous system. The main aim of this research work is to compare the performance and accuracy various Machine Learning (ML) models used for classification subjects as having average or high stress. Photoplethysmography (PPG) signals recorded all after they are introduced inducing stimulus. From PPG Pulse Rate Variability (PRV) parameters calculated basis these PRV subject either classified A dataset framed from ML namely Logistic...
Diabetes mellitus is a commonly occurring chronic metabolic disorder which has affected almost 400 million people around the world. It can lead to vascular structure alterations and various renal, cardiovascular, neurologicalcomplications claiming several lives. Since diabetes results changes, NailfoldCapillaroscopy(NFC) based approach be employed for detection of diabetes. NFC an inexpensive, non-invasive method involves acquisition images capillaries in nail bed region using USB digital...
Microcirculation in a subject can be examined and pathological changes assessed by utilizing capillaroscopy, which is very safe, convenient non-invasive approach. Using microscope, doctors view the capillaries looking through nailfold epidermis. Nailfold anatomy ideal to evaluate microcirculation detect various diseases caused vascular damages. Rheumatologists systemic involve damage vasculature, analyzing red blood cells within capillaries. Sometimes, capillary morphology may useful as an...
Agriculture employing good seeds ensures better crop quality and higher yield. Seed segregation into Good Bad is done manually by visual inspection. Automating this process initially imaging using USB Digital Microscope followed classification Deep Learning models proposed in work. Soya were collected from National Project, University of Sciences, Bangalore. Images different orientation procured later augmented to increase the dataset. Three employed are Resnet, Mobilenet Densenet. Resnet50...