Ecg signal classification using deep neural networks with ensemble techniques
LN Thalluri, H Koripalli, PKN Nukala… - 2022 7th …, 2022 - ieeexplore.ieee.org
Electrocardiogram (ECG) is a vital signal, used to identify cardiovascular diseases like
arrhythmias, heart attacks and coronary heart diseases. The classification of ECG signals …
arrhythmias, heart attacks and coronary heart diseases. The classification of ECG signals …
Automated face recognition system for smart attendance application using convolutional neural networks
LN Thalluri, K Babburu, AK Madam, KVV Kumar… - International Journal of …, 2024 - Springer
In this paper, a touch less automated face recognition system for smart attendance
application was designed using convolutional neural network (CNN). The presented touch …
application was designed using convolutional neural network (CNN). The presented touch …
The Internet of Things Research in Agriculture: A Bibliometric Analysis
S Sumarsono, N Muflihah… - International Journal of …, 2024 - pasca.unhas.ac.id
An in-depth analysis of Internet of Things (IoT) applications expertise for agriculture. This
article's primary purpose is to provide a comprehensive and organized review of IoT …
article's primary purpose is to provide a comprehensive and organized review of IoT …
A Cloud-Computing Model for Implementing Smart Agriculture
M Zhou, C Matsika - Artificial Intelligence and Smart Agriculture …, 2022 - taylorfrancis.com
The mushrooming of disruptive technologies has facilitated the adoption and use of smart
agriculture. The purpose of this research is to adopt and use smart agriculture in resource …
agriculture. The purpose of this research is to adopt and use smart agriculture in resource …
PEMBUATAN APLIKASI ABSENSI DALAM RANGKA MENINGKATKAN KINERJA DAN EFISIENSI ADMINISTRASI PADA BIMBEL RUMAH PINTAR KAK WELL DI …
SP Komalasari, NUPA Zikra… - Jurnal Hilirisasi …, 2024 - hilirisasi.lppm.unand.ac.id
Kegiatan ini bertujuan untuk membantu Bimbel Rumah Pintar Kak Well dalam melakukan
perekapan data absensi yang sebelumnya dilakukan secara manual. Pencatatan absensi …
perekapan data absensi yang sebelumnya dilakukan secara manual. Pencatatan absensi …
ECG Signal Analysis Using Convolution Neural Networks to avoid Uncertainty in Classification
T Balaji, N Jaya, GVH Prasad - Journal of Uncertain Systems, 2023 - World Scientific
This paper presents the study of electrocardiogram (ECG) signals analysis using
convolution neural networks (CNNs) to avoid uncertainty in classification. MIT-BIH ECG …
convolution neural networks (CNNs) to avoid uncertainty in classification. MIT-BIH ECG …
Smart Face Recognition Application using Deep Learning Neural Networks with Compressed Model Deployment
RK Bathina, RR Edara, B Gopi, J Perugu… - … on Applied Artificial …, 2023 - ieeexplore.ieee.org
This research work presents a novel face recognition system with customized face dataset.
After completion of the dataset, this dataset will be fed to neural network (or) model and find …
After completion of the dataset, this dataset will be fed to neural network (or) model and find …
[PDF][PDF] Automation of Smart Buildings and Integrated Message to Voice Technology using Raspberry Pi 3 for IoT Applications
K Babburu, SS Kiran, MR Babu, LN Thalluri… - International …, 2020 - researchgate.net
Automation framework has been exists over an extensive stretch of time. These automation
frameworks have expanded the attainability for some people groups, by enabling them to …
frameworks have expanded the attainability for some people groups, by enabling them to …