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Development of Precipitation Simulating Model using Statistical-Probabilistic Models and Deep Learning Algorithms
, M.Sc. Thesis Sharif University of Technology ; Moghim, Sanaz (Supervisor)
Abstract
Throughout history, rainfall has been one of the vital factors influencing human life. Predicting the quantity, intensity, extent, duration, and probability of rainfall holds considerable importance in fields such as agriculture, water resource management, urban planning, and disaster preparedness. Although rainfall is inherently random and influenced by multiple factors, accurate and reliable precipitation forecasts enhance proactive decision-making, facilitate optimal resource allocation, reduce risks, and promote sustainable development. The aim of this study is to develop a rainfall simulation model by integrating probabilistic statistical models, machine learning algorithms, and...
Demand Forecasting And Planning of ICU Sector In Hospital
, M.Sc. Thesis Sharif University of Technology ; Kianfar, Farhad (Supervisor)
Abstract
This research conducted to achieve a pragmatic approach for the demand forecasting of ICU beds which is the one of most important services are provided by hospitals and medical centers and always has been challenging associated with capacity planning in many countries. Attaining such a method, ICU patients identified and categorized according to patients age and duration of hospitalization period. Then, as a case study, demanded ICU beds in Iran's hospitals predicted for three time horizons in 2021, 2031 and 2041 by use of regression model to forecast the population of identified patient categories which was extracted from Iran's demographic data in a 30-year period. The results indicated...
Converter Design for Hybrid Thermoelectricity and Solar Energy Harvesting for Wearable Sensors
, M.Sc. Thesis Sharif University of Technology ; Zolghadri, Mohammad Reza (Supervisor) ; Fakharzadeh Jahromi, Mohammad (Co-Supervisor)
Abstract
Power harvesters are used to generate energy for electronic devices. These electrical energy generators consist of three main parts: energy source, power electronic converter and energy storage. In order to minimize some of the weaknesses of these devices, including low power density and low reliability, the hybrid power harvesting method can be utilized. In this thesis, we design and build a hybrid energy harvester considering the advantages of simultaneous usage of solar and thermal energies for a wearable sensor, focusing on "efficiency enhancement" and "availability improvement". In the designed device, both solar and thermal energy harvesting units operate independently. In the solar...