Prediction of COVID 19 pandemic using convolutional neural network and compare accuracy with artificial neural network
P Keerthivasan, G Ramkumar - AIP Conference Proceedings, 2024 - pubs.aip.org
This research tests two neural network types—artificial neural networks and convolutional
neural networks—to see whether one is better at predicting the spread of COVID-19. We …
neural networks—to see whether one is better at predicting the spread of COVID-19. We …
Prediction of share market stock price using novel long short-term memory and compare accuracy with K-Nearest Neighbor algorithm
KS Reddy, G Ramkumar - AIP Conference Proceedings, 2024 - pubs.aip.org
The main goal of this work is to develop a method to improve the accuracy and precision of
stock market price forecasts by substituting new Long Short-Term Memory (LSTM) with K …
stock market price forecasts by substituting new Long Short-Term Memory (LSTM) with K …
A comparative study to evaluate the impact of sleep habits during novel Covid-19 pandemic among urban and rural communities by using statistical analysis
V Roshan, AS Vickram - AIP Conference Proceedings, 2024 - pubs.aip.org
The major objective of the researchers doing this study was to determine the effects of the
Novel Coronavirus pandemic on the sleeping patterns of persons residing in both rural and …
Novel Coronavirus pandemic on the sleeping patterns of persons residing in both rural and …
Productive palmprint identification and recognition in field of biometric using novel novice convolutional neural network and compared with local binary pattern based …
P Girish, AP Chakkravarthy - AIP Conference Proceedings, 2024 - pubs.aip.org
to compare the palm print discrimination performance of a new novice convolutional neural
network classifier with a local binary pattern (LBP) classifier. For palm print recognition, the …
network classifier with a local binary pattern (LBP) classifier. For palm print recognition, the …
Detection of Covid-19 at early symptoms with higher accuracy using novel chest X-rays images using Googlenet comparing with Alexnet
A Arshathraj, V Parthiban - AIP Conference Proceedings, 2024 - pubs.aip.org
In the end, we want to use a database of chest X-rays together with some deep learning-
based machine learning to discover novel COVID-19 predictions. With the use of computer …
based machine learning to discover novel COVID-19 predictions. With the use of computer …
Prediction of human activity recognition using artificial neural network algorithm in comparison with support vector machine algorithm
P Ganesh, P Jagadeesh - AIP Conference Proceedings, 2024 - pubs.aip.org
The main objective of the research is to evaluate the effectiveness of two methods for human
behavior recognition forecasting: one uses an artificial neural network technology, and the …
behavior recognition forecasting: one uses an artificial neural network technology, and the …
Comparative study on the efficiency of digital tomosynthesis and conventional mammogram pertains to diseased BI-Raids 3 lesions using various classifiers for …
C Samyuktha, DJ Rani - AIP Conference Proceedings, 2024 - pubs.aip.org
The goal of employing image segmentation in breast imaging is to improve upon regular
mammograms and allow for more accurate detection of cancerous areas in calcifications …
mammograms and allow for more accurate detection of cancerous areas in calcifications …