Predictive healthcare modeling for early pandemic assessment leveraging deep auto regressor neural prophet

S Dash, SK Giri, S Mallik, SK Pani, MA Shah, H Qin - Scientific Reports, 2024 - nature.com
In this paper, NeuralProphet (NP), an explainable hybrid modular framework, enhances the
forecasting performance of pandemics by adding two neural network modules; auto …

LSDStrategy: A lightweight software-driven strategy for addressing big data variety of multimedia streaming

SD Khudhur, HA Jeiad - IEEE Access, 2022 - ieeexplore.ieee.org
Many devices, users, and applications stream an irregular amount of varied data every
second. This rapid generation of data continues at an enormous rate, constructing the big …

An Empirical Model for The Classification of Diabetes and Diabetes_Types Using Ensemble Approaches

S Jaiswal, P Gupta, LVN Prasad… - Journal of Artificial …, 2023 - ojs.istp-press.com
Diabetes is a hereditary disorder that interferes with human life at all ages. It is challenging
for cells to absorb glucose from the bloodstream when an individual has diabetes. The two …

[PDF][PDF] A Novel Edge-Assisted IoT-ML-Based Smart Healthcare Framework for COVID-19.

MH Mir, S Jamwal, U Iqbal… - … in Engineering & …, 2023 - cdn.techscience.cn
The lack of modern technology in healthcare has led to the death of thousands of lives
worldwide due to COVID-19 since its outbreak. The Internet of Things (IoT) along with other …

Blockchain Technology in Healthcare: Use Cases Study

H Mhamdi, SB Othman, A Zouinkhi, H Sakli - … Infrastructure, algorithms and …, 2022 - Springer
Blockchain technology is now regarded as one of the most interesting and possibly
innovative technologies. It enables information to be stored and exchanged securely and …

[PDF][PDF] XGBoost for Imbalanced Multiclass Classification-Based Industrial Internet of Things Intrusion Detection Systems. Sustainability 2022, 14, 8707

TTH Le, YE Oktian, H Kim - 2022 - researchgate.net
The Industrial Internet of Things (IIoT) has advanced digital technology and the fastest
interconnection, which creates opportunities to substantially grow industrial businesses …

Nonstationary time series forecasting using optimized-EVDHM-ARIMA for COVID-19

SS Nagvanshi, I Kaur, C Agarwal, A Sharma - Frontiers in big data, 2023 - frontiersin.org
The Coronavirus (COVID-19) outbreak swept the world, infected millions of people, and
caused many deaths. Multiple COVID-19 variations have been discovered since the initial …

New trends in deep learning for neuroimaging analysis and disease prediction

OT Olaniyan, CO Adetunji, A Dare… - Artificial Intelligence for …, 2023 - Elsevier
In the last few decades, deep learning techniques for diagnosing and predicting disease
conditions from neuroimaging have attracted much attention and interest from the scientific …

Models for digitally contact-traced epidemics

C Boldrini, A Passarella, M Conti - IEEE Access, 2022 - ieeexplore.ieee.org
Contacts between people are the main drivers of contagious respiratory infections. For this
reason, limiting and tracking contacts is a key strategy for controlling the COVID-19 …

A research based on application of dimension reduction technology in data visualization using machine learning

J Chen, L Bian, A Kumar, R Neware - International Journal of System …, 2022 - Springer
At present, the research work of dimension reduction at home and abroad is more about the
theoretical exploration and application research of specific dimension reduction methods …