Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
Abstract The new Coronavirus (COVID-19) is an emerging disease responsible for infecting
millions of people since the first notification until nowadays. Develo** efficient short-term …
millions of people since the first notification until nowadays. Develo** efficient short-term …
Prediction and analysis of COVID-19 daily new cases and cumulative cases: times series forecasting and machine learning models
Y Wang, Z Yan, D Wang, M Yang, Z Li, X Gong… - BMC Infectious …, 2022 - Springer
Background COVID-19 poses a severe threat to global human health, especially the USA,
Brazil, and India cases continue to increase dynamically, which has a far-reaching impact on …
Brazil, and India cases continue to increase dynamically, which has a far-reaching impact on …
Forecasting outbreak of COVID-19 in Turkey; Comparison of Box–Jenkins, Brown's exponential smoothing and long short-term memory models
D Guleryuz - Process Safety and Environmental Protection, 2021 - Elsevier
The new coronavirus disease (COVID-19), which first appeared in China in December 2019,
has pervaded throughout the world. Because the epidemic started later in Turkey than other …
has pervaded throughout the world. Because the epidemic started later in Turkey than other …
A two-layer water demand prediction system in urban areas based on micro-services and LSTM neural networks
In recent years, scarce water resources became one of the main problems that endanger
human species existence and the advancement of any nation. In this research, smart water …
human species existence and the advancement of any nation. In this research, smart water …
Forecasting patient arrivals at emergency department using calendar and meteorological information
Y Zhang, J Zhang, M Tao, J Shu, D Zhu - Applied Intelligence, 2022 - Springer
Overcrowding in emergency departments (EDs) is a serious problem in many countries.
Accurate ED patient arrival forecasts can serve as a management baseline to better allocate …
Accurate ED patient arrival forecasts can serve as a management baseline to better allocate …
Integrating discrete-event simulation and artificial intelligence for shortening bed waiting times in hospitalization departments during respiratory disease seasons
Abstract Seasonal Respiratory Diseases (SRDs) usually produce a heightened number of
Emergency Department (ED) attendances due to their rapid dissemination within the …
Emergency Department (ED) attendances due to their rapid dissemination within the …
Determination of industrial energy demand in Turkey using MLR, ANFIS and PSO-ANFIS
D Guleryuz - Journal of Artificial Intelligence and Systems, 2021 - iecscience.org
Energy is one of the most critical inputs in social and economic development, is an essential
factor in increasing living standards and creating sustainable development. Since energy is …
factor in increasing living standards and creating sustainable development. Since energy is …
Forecasts of sustainable consumption in small economies
R Kontautienė, T Stravinskas… - Journal of international …, 2024 - ceeol.com
Sustainable consumption is becoming an increasingly important aspect of our consumer
society. The scarcity of natural resources is a growing concern in many countries …
society. The scarcity of natural resources is a growing concern in many countries …
The prediction of Brent crude oil trend using LSTM and Facebook prophet
Crude oil and petroleum products are among the critical inputs of industrial production as
well as they are having an important role in logistics and transportation. Hence, sudden …
well as they are having an important role in logistics and transportation. Hence, sudden …
Forecasting hospital-level COVID-19 admissions using real-time mobility data
Background For each of the COVID-19 pandemic waves, hospitals have had to plan for
deploying surge capacity and resources to manage large but transient increases in COVID …
deploying surge capacity and resources to manage large but transient increases in COVID …