An IoT-Based CNN Model for Patients in ICU Beds During the COVID-19 Outburst

BD Parameshachari, C Srinivas… - … Conference on Data …, 2023 - ieeexplore.ieee.org
The rising number of hospital admissions is a worldwide cause for alarm, with major
contributors being an ageing population, the prevalence of diseases, and the current COVID …

Predictive Modeling of COVID-19 Intensive Care Unit Patient Flows and Nursing Complexity: A Monte Carlo Simulation Study

E Simoncini, A Jarry, A Moussion… - CIN: Computers …, 2023 - journals.lww.com
This study aimed to develop a Monte Carlo simulation model to forecast the number of ICU
beds needed for COVID-19 patients and the subsequent nursing complexity in a French …

Analysis of Network Performance Using Markov Autoregressive and ARIMAX Models Using Optimization

B Jothi, J Jeyasudha, M Sujatha… - … Advancements in AI …, 2024 - igi-global.com
This chapter compares Markov autoregressive (MAR) models and ARIMAX models for
network overall performance optimization. The fashions' inherent skills, in addition to their …

Forecasting Visitors in Smart Building Environments: Modeling and estimation of the number of guests using SARIMAX

NA Albashir, H Danial - 2023 - diva-portal.org
Time series modeling is a commonly used approach in exchange for studying and analyzing
the data to support decision-making in companies based on historical data and thereby help …

[PDF][PDF] A Novel Resilient Patient Admission Scheduling Conceptual Model

LG Mendes, PO Onorio, DL de Oliveira Quadras… - portalabepro.educacao.ws
The advent of Industry 4.0 has revolutionized decision-making processes in production
systems by leveraging real-time data provided by advanced information technologies. In …