Fine-tuned convolutional neural network for different cardiac view classification
BP Santosh Kumar, MA Haq, P Sreenivasulu… - The Journal of …, 2022 - Springer
In echocardiography, an electrocardiogram is conventionally utilised in the chronological
arrangement of diverse cardiac views for measuring critical measurements. Cardiac view …
arrangement of diverse cardiac views for measuring critical measurements. Cardiac view …
An intelligent machine learning and self adaptive resource allocation framework for cloud computing environment
M Hasan, E Balamurugan, M Almamun… - … Transactions on Cloud …, 2020 - eudl.eu
Resource allocation is one of the major concern in cloud computing model. When several
problems exists in rendering a useful resource allocator. In this research, a self adaptive …
problems exists in rendering a useful resource allocator. In this research, a self adaptive …
Convolutional Neural Network-Based Secured Data Storage Mechanism for Big Data Environments
B Easwaran, S Krishnan, PT Anitha… - … -Time Applications of …, 2022 - igi-global.com
Abstract Data types and amounts in human society are growing at an amazing speed, which
is caused by emerging new services such as cloud computing and internet of things (IoT). As …
is caused by emerging new services such as cloud computing and internet of things (IoT). As …
[PDF][PDF] Fine-Tuned Convolutional Neural Network for Different Cardiac View Classification
SK BP, MA Haq, P Sreenivasulu, D Siva, F Alassery… - 2021 - academia.edu
In echocardiography, an electrocardiogram is conventionally utilized in the chronological
arrangement of diverse cardiac views for measuring critical measurements. Cardiac view …
arrangement of diverse cardiac views for measuring critical measurements. Cardiac view …
Consumer Behaviour Analysis in Social Network Using Big Data
M Arumugam, C Jayanthi - International Journal of Health Sciences - neliti.com
In present, the social network plays a vital role in every person of the society irrespective of
age, community, gender, business background etc… At present, 3.4 billion to 3.6 billion …
age, community, gender, business background etc… At present, 3.4 billion to 3.6 billion …