Using Machine Learning Models for Inpatient Bed Demand Forecasting in the UAE Hospitals
A Master of Science thesis in Engineering Systems Management by Rahaf Abdulla Sheiko entitled, “Using Machine Learning Models for Inpatient Bed Demand Forecasting in the UAE Hospitals”, submitted in July 2024. Thesis advisor is Dr. Rami Afif As’ad and thesis co-advisor is Dr. Hussam Alshraideh. Soft...
Saved in:
| Main Author: | Sheiko, Rahaf Abdulla (author) |
|---|---|
| Format: | doctoralThesis |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/11073/33284 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods
by: Sivakavi Naga Venkata Bramareswara Rao (15944992)
Published: (2022) -
An overview of load demand and price forecasting methodologies
by: Kourtis, George
Published: (2011) -
Model-Based Quality, Exergy, and Economic Analysis of Fluidized Bed Membrane Reactors
by: Tabassam Nafees (18460584)
Published: (2021) -
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
by: Far, Reza Davoodi
Published: (2024) -
Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions
by: Dao H. Vu (19517236)
Published: (2022)