Visual exploratory data analysis of the Covid-19 pandemic in Nigeria: Two years after the outbreak

UE Orji, E Ukwandu, EA Obianuju… - 2022 5th Information …, 2022 - ieeexplore.ieee.org
The outbreak of the coronavirus disease in Nigeria and all over the world in 2019/2020
caused havoc on the world's economy and put a strain on global healthcare facilities and …

Plataforma de Monitoramento Inteligente da COVID-19

AT Beuren, HJT de Freitas, TF Naves… - Research, Society and …, 2022 - rsdjournal.org
During the COVID-19 pandemic, monitoring platforms for the disease emerged through the
analysis and visualization of data. The focus of most platforms was monitoring at the State …

Covid-19 Tracker: A data visualization tool for time series data of pandemic in India

Y Talavia, P Singh, S Manoharan - 2021 IEEE Asia-Pacific …, 2021 - ieeexplore.ieee.org
Covid-19 first originated in Wuhan, China, became a global pandemic and spread to many
countries due to its high transmissibility. Digital technology could prove to be of great use in …

Classification Analysis of COVID19 Patient Data at Government Hospital of Banyumas using Machine Learning

IM Putra, I Tahyudin, HAA Rozaq… - … on Smart Computing …, 2021 - ieeexplore.ieee.org
The development of the COVID-19 pandemic has not ended for almost 2 years. Even new
variants appear that are more worrying. Including cases of COVID-19 in the Banyumas Raya …

Visual Exploratory Analysis of COVID-19 Pandemic: One Year After the Outbreak

A Nazir, S Ulusoy, L Lotfi - medRxiv, 2021 - medrxiv.org
Background Since the beginning of the year 2020, governments across the globe have
taken different measures to handle the COVID-19 outbreak. Many different policies and …

Machine Learning Analysis for Temperature Classification using Bioelectric Potential of Plant

I Tahyudin, HAA Rozaq… - 2022 6th International …, 2022 - ieeexplore.ieee.org
Plants can respond to changes in their surroundings, such as temperature, humidity, and
human behavior. This ability is due to photosynthesis and respiration in plants, resulting in …

[PDF][PDF] Data analytics on the covid-19 outbreak in south asia using machine learning methods

KC Paul, MA Hoque, SM Dhiman, JK Sen - International Journal, 2021 - academia.edu
The transformation of COVID-19 spread from the first case reported in China's Wuhan to a
worldwide pandemic has been a tremendous topic of study among data analysts and …

Analyzing the Impact of COVID-19 and Vaccination Using Machine Learning and ANN

T Abirami, Y Annuncia Marena, P Jayadharshini… - Data-Driven Approach …, 2022 - Springer
The proposed method examines newly developed predicting models in-depth and forecasts
the numerous cases of confirmed, recovered, and fatality caused through coronavirus in …

A Prediction Model-Comparative Analysis and Effective Visualization for COVID-19 Dataset

S Vishal, M Uma, SM Florence - Advances in Science and …, 2023 - Trans Tech Publ
Covid-19 is a dangerous infection which is caused by SAR-COV 2 (stands for severe acute
respiratory syndrome coronavirus 2). The first known coronavirus case was found in Wuhan …

Design of Single and Multiobjective Metaheuristic Algorithms for Effective Data Clustering

A Kaur, Y Kumar - 2022 - ir.juit.ac.in
Clustering is an important data analysis technique to find similar data objects in a given
dataset. It is unsupervised learning and has proven its capability in diverse research fields …