Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach by Chehade, Mira

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Superior Non-Invasive Glucose Sensor Using Bimetallic CuNi Nanospecies Coated Mesoporous Carbon by Ahmed Bahgat Radwan (17380297)

“…In this work, nanostructured mesoporous carbon coupled with glucose oxidase (GO_x) increased the direct electron transfer to the electrode surface. …”

Mitigation of voltage imbalance in power distribution system using MPC‐controlled packed‐U‐cells converter by Ibrahim Ahmed (14778349)

“…<p dir="ltr">Delivering high power quality in single-phase distribution has witnessed more challenges especially with the increased penetration of single-phase distributed generation (DG). …”

Implicit Definition of Flow Patterns in Street Canyons—Recirculation Zone—Using Exploratory Quantitative and Qualitative Methods by Arsenios E. Chatzimichailidis (18891763)

“…<p dir="ltr">Air pollution is a major health hazard for the population that increasingly lives in cities. Street-scale Air Quality Models (AQMs) are a cheap and efficient way to study air pollution and possibly provide solutions. …”

Nutrient recovery and hydrogen production from wastewater by electrodialysis process: Optimization using response surface methodology by Sinan Ates (20884226)

“…<p>The increasing demand for energy, water, and nutrient management has attained interest in sustainable wastewater treatment processes. …”

In vitro regulation of quorum sensing in Pseudomonas aeruginosa using synthetic autoinducers By Hrag Dilabazian A thesis by Dilabazian, Hrag

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From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…Energy conservation becomes essential since energy resources are scarce and human dependency on appliances is only exponentially increasing. While intrusive sensors (i.e., cameras and microphones) can raise privacy concerns, this paper presents an innovative non-intrusive occupancy detection approach using environmental sensor data (e.g., temperature, humidity, carbon dioxide (CO₂), and light sensors). …”

Long Term HbA1c Prediction Using Multi-Stage CGM Data Analysis by Md Shafiqul Islam (7010348)

“…Having an elevated HbA1c level significantly increases the risk of developing diabetes-related health complications. …”

Investigating physicians’ views on non-formulary prescribing: a qualitative study using the theoretical domains framework by Zachariah Nazar (8600154)

“…<div><h2>Background</h2> <p>Well-designed and well-maintained drug formularies serve as a reliable resource to guide prescribing decisions; they are associated with improved medicine safety and increased efficiency, while also serving as a cost-effective tool to help manage and predict medicine expenditure. …”

Evaluation of the risk of acute kidney injury with the use of piperacillin/tazobactam among adult critically ill patients by Mohamed O. Saad (11659429)

“…The primary outcome was acute kidney injury, defined using the Kidney Disease Improving Global Outcomes (KDIGO) criteria. …”

Hybrid piezoelectric-electromagnetic energy harvester using a nonlinear curved T-shaped beam for broadband applications by Mohammad Farhan (17017683)

“…The prototype was tested using a shaker and DAQ device for four different configurations of tip magnets with increasing mass and electromagnetic field density. …”

Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions by Sabah Mariyam (14150859)

“…As such, the objective of this study is to develop a prediction model based on the biomass’ fixed carbon content (14–22%), reaction temperature (350–750 °C), and heating rate (5–10 °C/min) using the response surface methodology. Biomasses, date stones, spent coffee grounds, and cow manure have been used to design a Box-Behnken experiment based on the three factors for the biochar yield response. …”

Solar power forecasting beneath diverse weather conditions using GD and LM-artificial neural networks by Sharma, Neetan

“…This paper aims to acknowledge the extended stellar forecasting algorithm using artificial neural network common sensical aspect. …”
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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…<p dir="ltr">Diabetes mellitus (DM) is a prevalent chronic metabolic disorder linked to increased morbidity and mortality. With a significant portion of cases remaining undiagnosed, particularly in the Middle East North Africa (MENA) region, more accurate and accessible diagnostic methods are essential. …”

The Effect of Ultrasound on the Drug Delivery of RGD-Targeted Liposomes by Mahmoud, Mohamad

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Prediction of biogas production from chemically treated co-digested agricultural waste using artificial neural network by Fares Almomani (12585685)

“…An ANN model consists of three layers, 15 neutrons and 260 <i>epochs</i> accurately predict the CMP with 99.1% of data within ±10% deviation of the mean experimental value. The developed model can be used to forecast the CMP as a function of operating temperature, the substrate composition, and chemical dose, and can be used for scaling-up and cost analysis purposes.…”

Using Nearpod to Promote Engagement in Online ESL Classes: A Mixed-Methods Study in the Context of Higher Education by Alawadhi, Azza

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A critical review on the practical use of lithium cycle as an upfront nitrogen removal technology from natural gas by Abdullah Omar (6468326)

“…<p>The increase in energy demand as the world population grows, as well as the competition in the liquefied natural gas (LNG) market, force producers to work hard on developing cost-effective production technologies. …”

Biomolecular alterations in acute traumatic brain injury (TBI) using Fourier transform infrared (FTIR) imaging spectroscopy by Fazle Rakib (5768069)

“…Fourier Transform Infrared (FTIR) imaging spectroscopy were used to collect chemical images from control and 3 hrs post-TBI (Marmarou model was used for the TBI induction) rat brains and adjacent sections were treated by hematoxylin and eosin (H&E) staining to correlate with the disruption in tissue morphology and injured brain biochemistry. …”

Micropollutants Removal from Water using Microfiltration Membrane Modified with ZIF-8 Metal Organic Frameworks (MOFs) by Ragab, Doaa

“…The synergy provided by using ZIF-8 particles and the significant regeneration volume reduction ratio demonstrates the effectiveness of the approach for increasing the overall micropollutants removal capacity and allows for its further consideration for development of viable continuous membrane adsorption techniques for decontamination of water resources.…”
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