Epidemic efficacy of Covid-19 vaccination against Omicron: An innovative approach using enhanced residual recurrent neural network

R Kumar, M Gupta, A Agarwal, A Mukherjee… - Plos one, 2023 - journals.plos.org
The outbreak of COVID-19 has engulfed the entire world since the end of 2019, causing
tremendous loss of lives. It has also taken a toll on the healthcare sector due to the inability …

[PDF][PDF] Omi-cron Virus Data Analytics Using Extended RNN Technique

A Srinivasulu, AK Gupta, KK Hiran… - Int J Cancer Res …, 2022 - opastpublishers.com
The OMICRON case that tainted human beings become first observed in China towards the
end of 2021. From that point, OMICRON has spread practically all nations on the planet. To …

Optimalisasi Deteksi Serangan DDoS Menggunakan Algoritma Random Forest, SVM, KNN dan MLP pada Jaringan Komputer

I Maulana, A Alamsyah - Indonesian Journal of Mathematics and …, 2023 - journal.unnes.ac.id
Distributed denial of service (DDoS) merupakan serangan pada server komputer yang
menjadi ancaman serius pada keamanan jaringan komputer. Serangan ini dapat …

[PDF][PDF] Customer Segmentation Using the Integration of the Recency Frequency Monetary Model and the K-Means Cluster Algorithm

S Rohman, RN Pratama - Scientific Journal of Informatics, 2022 - academia.edu
Purpose: This research aims to do customer segmentation in retail companies by
implementing the Recency Frequency Monetary (RFM) K-Means cluster model and …

The improvement of COVID-19 prediction accuracy using optimal parameters in reccurent neural network model

A Alamsyah, B Prasetiyo, M Hakim… - AIP Conference …, 2023 - pubs.aip.org
This paper is the result of research which is the development of previous research. In the
previous studies, it was explained about the prediction of COVID-19 based on symptoms …

DNN and RNN Models derived by PSO for Predicting COVID-19 and Rt under Control Measure

R Wongsathan, W Puangmanee - International Journal of …, 2023 - cspub-ijcisim.org
The COVID-19 pandemic novel coronavirus disease, a supernova in human history, caused
considerable suffering and death worldwide. Thailand has experienced five surges of …

[PDF][PDF] Combination of gray level co-occurrence matrix and artificial neural networks for classification of COVID-19 based on chest X-ray images

MR Alfian - Int J Artif Intell, 2024 - researchgate.net
This research uses the gray level co-occurrence matrix (GLCM) and artificial neural
networks to classify COVID-19 images based on chest X-ray images. According to previous …

[PDF][PDF] Implementation of recurrent neural network for the forecasting of USD buy rate against IDR

LS Moonlight, BR Trilaksono, BB Harianto… - International Journal of …, 2023 - academia.edu
This study implements a recurrent neural network (RNN) by comparing two RNN network
structures, namely Elman and Jordan using the backpropagation through time (BPTT) …

Optimization of Accuracy to Autism Spectrum Disorder Identification for Children Using Support Vector Machine and Correlation-based Feature Selection

L Alaika, A Alamsyah - … of Advances in Information Systems and …, 2022 - journal.unnes.ac.id
Autism is a developmental disorder that affects the function of the neurological system,
which can have a negative impact on the sufferer's quality of life. The ratio of people with …

Penerapan Algoritma Convolutional Neural Network Arsitektur ResNet50V2 Untuk Mengidentifikasi Penyakit Pneumonia

MA Izzulhaq, A Alamsyah - Indonesian Journal of Mathematics …, 2024 - journal.unnes.ac.id
Pneumonia is a disease that infects the respiratory tract, disrupting the normal function of the
human body. Viruses and bacteria are known as common causes of pneumonia …