3 citations · 9 across the 5 of their papers we have counts for
5 papers
Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model
Mehdi Neshat, Michael Phipps, Chris A. Browne +2
Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health strategies. This data serves as a cornerstone for governments to discern trends, patte…
Multi-faceted Methodology for Coastal Vegetation Drag Coefficient Calibration: Implications for Wave Height Attenuation
Erfan Amini, Reza Marsooli, Mehdi Neshat
The accurate prediction of wave height attenuation due to vegetation is crucial for designing effective and efficient natural and nature-based solutions for flood mitigation, shore…
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs
Mehdi Neshat, Muktar Ahmed, Hossein Askari +2
Diagnosing lung inflammation, particularly pneumonia, is of paramount importance for effectively treating and managing the disease. Pneumonia is a common respiratory infection caus…
A Novel Hybrid Algorithm for Optimized Solutions in Ocean Renewable Energy Industry: Enhancing Power Take-Off Parameters and Site Selection Procedure of Wave Energy Converters
Hossein Mehdipour, Erfan Amini, Seyed Taghi Naeeni +1
Ocean renewable energy, particularly wave energy, has emerged as a pivotal component for diversifying the global energy portfolio, reducing dependence on fossil fuels, and mitigati…
Optimization Study of Hydraulic Power Take-off System for an Ocean Wave Energy Converter
Erfan Amini, Hossein Mehdipour, Emilio Faraggiana +4
Ocean wave renewable energy is fast becoming a key part of renewable energy industries over the recent decades. By developing wave energy converters as the main converter technolog…