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Transit‐Oriented Development in Doha: The Case of the Al Sadd Neighborhood and Hamad Hospital Metro Station
(
MDPI
, 2021 , Article)
Over the last two decades, transit‐oriented development (TOD) has been widely implemented
as an integrated strategy to enhance urban livability. Doha, the capital of the State of Qatar,
has faced urban challenges such ...
Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals
(
MDPI
, 2023 , Article)
The continuous monitoring of respiratory rate (RR) and oxygen saturation (SpO2) is crucial for patients with cardiac, pulmonary, and surgical conditions. RR and SpO2 are used to assess the effectiveness of lung medications ...
Engineering instructors' professional agency development and identity renegotiation through engaging in pedagogical change towards PBL
(
Taylor and Francis Ltd.
, 2021 , Article)
This qualitative longitudinal study explored three engineering instructors' professional agency in implementing project-based learning (PBL), including multiple sets of data (18 interviews, observations, and written ...
A hybrid nf-fo-ro process for the supply of irrigation water from treated wastewater: Simulation study
(
MDPI AG
, 2021 , Article)
Municipal treated wastewater could be considered as a water source for food crop irrigation purposes. Enhancing the quality of treated wastewater to meet irrigation standards has become a necessary practice. Nanofiltration ...
Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model
(
MDPI
, 2022 , Article)
Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size distribution is a method often followed to enhance drug delivery and reduce side effects. Supercritical CO2 (carbon dioxide) is a well-known ...
A multi-country survey for collecting and analyzing facts related to road traffic safety: Legislation, enforcement, and education for safer drivers
(
Elsevier
, 2022 , Article)
Road traffic safety is a crucial global objective. It is important for every country to review and improve road safety policies and strategies, based on an objective understanding of its own road traffic safety situation ...
Machine learning-based shear capacity prediction and reliability analysis of shear-critical RC beams strengthened with inorganic composites
(
Elsevier
, 2022 , Article)
The application of inorganic composites has proven to be an effective strengthening technique for shear-critical reinforced concrete (RC) beams. However, accurate prediction of the shear capacity of RC beams strengthened ...
Driving simulation sickness and the sense of presence: Correlation and contributing factors
(
Elsevier Ltd
, 2021 , Article)
Driving simulators are useful and effective tools for conducting studies in the field of traffic safety. Simulation sickness (SS) and the sense of presence (SP) are two well-known factors that could affect the results of ...
Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature
(
MDPI
, 2022 , Article)
An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for ...
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
(
MDPI
, 2022 , Article)
Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ...