Prediction of Metabolic Characteristics of Cardiovascular and Cerebrovascular Diseases Based on Convolutional Neural Network
Z Yang, P Li, R Wang - Computational and Mathematical …, 2022 - Wiley Online Library
As a typical disease, cardiovascular and cerebrovascular diseases cause great damage to
the human body. In view of the problem that the existing models failed to describe and …
the human body. In view of the problem that the existing models failed to describe and …
Medical Image Fusion: Transforms Techniques-Based Comparative Analysis for Brain Disease
B Rajalingam, R Santhoshkumar… - Concepts of Artificial …, 2023 - taylorfrancis.com
Medical image processing has a difficult time combining pathogenic features into a single
image. There are a number of issues with the merged images. Fusion artifacts can appear in …
image. There are a number of issues with the merged images. Fusion artifacts can appear in …
An Effective Multi-class Object Detection Model for Remotely Sensed Image using Mask R-DCNN.
Object detection in remote sensing image has received increasing attention from the
research community in recent days. Over the past few decades, variety of deep learning …
research community in recent days. Over the past few decades, variety of deep learning …
[PDF][PDF] A Real Time Prediction and Classification of Face Mask Detection using CNN Model.
S Bavankumar, B Rajalingam… - … Online Journal of …, 2021 - researchgate.net
Current scenario of COVID-19 (Corona Virus Disease) pandemic makes almost everyone to
wear a mask in order to effectively prevent the spread of the virus. This almost makes …
wear a mask in order to effectively prevent the spread of the virus. This almost makes …
Fuse the Multimodality Medical Images using Transforms with Neuro Fuzzy based Hybrid Fusion Techniques.
R Santhoshkumar, B Rajalingam… - … Online Journal of …, 2021 - search.ebscohost.com
A great challenge in medical image processing is combining the complement pathological
features into a single image. Various issues are faced by the images that undergo fusion …
features into a single image. Various issues are faced by the images that undergo fusion …
Music Genre Classification Using Deep Learning Techniques.
G JawaherlalNehru, S Jothilakshmi… - … Online Journal of …, 2021 - search.ebscohost.com
Music Genre classification (MGC) is very important in today's world due to rapid growth in
music tracks, both online and offline. In order to have better access to these we need to …
music tracks, both online and offline. In order to have better access to these we need to …