Dataset for transient 3D simulations of turbulent premixed flames of Gas-to-Liquid (GTL) fuel by Abdellatif M., Sadeq

“…A fan-stirred combustion vessel is used to study the premixed turbulent combustion of diesel, Gas to Liquids (GTL) and 50/50 diesel-GTL and to generate these datasets. …”
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Dataset for transient 3D simulations of turbulent premixed flames of Gas-to-Liquid (GTL) fuel by Abdellatif M. Sadeq (16931841)

“…<p dir="ltr">A fan-stirred combustion vessel is used to study the premixed turbulent combustion of diesel, Gas to Liquids (GTL) and 50/50 diesel-GTL and to generate these datasets. …”

HVAC system attack detection dataset by Mariam Elnour (14147790)

“…Given the limitations on accessing a real HVAC system for research purposes and the unavailability of public labeled datasets to investigate the cybersecurity of HVAC systems, this paper presents a dataset of a 12-zone HVAC system that was collected from a simulation model using the Transient System Simulation Tool (TRNSYS). …”

A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008) by Korkmaz, Rita

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Detecting protein complexes in protein interaction networks using Mapper and Graph Convolution Networks by Daou, Leonardo

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Experimental quantification of punching shear capacity for large-scale GFRP-reinforced flat slabs made of synthetic fiber-reinforced self-compacting concrete dataset by AlHamaydeh, Mohammad

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

“…Goal of this study is to derive an implicit or explicit definition for the recirculation zone from the flow in street canyons using computational fluid dynamics (CFD). Therefore, a CFD-Large Eddy Simulation model was employed to investigate street canyons with height to width ratio from 1 to 0.20 under perpendicular wind direction. …”

Fluoroscopic 3D Image Generation from Patient-Specific PCA Motion Models Derived from 4D-CBCT Patient Datasets: A Feasibility Study by Dhou, Salam

“…Patient datasets were used to evaluate the method by estimating the tumor location in the generated images compared to manually defined ground truth positions. …”
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Entrepreneurial identity formation during the initial entrepreneurial experience: The influence of simulation feedback and existing identity by Newbery, Robert

“…The paper accomplishes this using a novel dataset derived from a business simulation game. …”
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Repurposing Nirmatrelvir for Hepatocellular Carcinoma: Network Pharmacology and Molecular Dynamics Simulations Identify HDAC3 as a Key Molecular Target by Muhammad Suleman (3829027)

“…Cross-referencing the two datasets identified 29 overlapping proteins. A protein–protein interaction (PPI) network constructed from the overlapping proteins was analyzed using CytoHubba, identifying 10 hub genes, with HDAC1, HDAC3, and STAT3 achieving the highest degree scores. …”

A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

“…We initially tested the efficiency and performance of our method on several simulated datasets and then applied it on a real genomic data that has different populations from the Middle East and North Africa (MENA) region. …”
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Stacking-based ensemble learning for remaining useful life estimation by Begum Ay Ture (17773170)

“…In this study, predictive models that estimate the remaining useful life of turbofan engines have been developed using deep learning algorithms on NASA’s turbofan engine degradation simulation dataset. …”

Estimation and Prediction Under Different Schemes for a Flexible Symmetric Distribution With Applications by Christophe Chesneau (8605029)

“…Finally, the practical applicability of the MSG model is demonstrated through the analysis of four real‐world datasets. It is shown to outperform several well‐known competing models in terms of goodness‐of‐fit. …”

GIS-BIM Based Regional Seismic Risk Assessment for Dubai, UAE by Maky, Ahmed Mansour

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Urban heat island phenomenon in a desert, coastal city: The impact of urbanization by J.R. Rajeswari (22046561)

“…This study focuses on analyzing the UHI phenomenon in Doha, utilizing observed <u>meteorological data</u> and the Weather Research and Forecasting model (WRF v4.5). Two land use and <u>land cover</u> (LULC) datasets from 2001 and 2018 are employed, with simulations conducted using different <u>urban canopy</u> models. …”

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

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In-Between Projection Interpolation in Cone-Beam CT Imaging using Convolutional Neural Networks by Dweek, Samaa

“…In this work, an interpolation method based on Convolutional Neural Networks (CNN) is proposed to generate new in-between projections to increase the overall number of projections used in 4D-CBCT reconstruction. Projections simulated using XCAT phantom were used to assess the proposed method. …”
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Estimating the elastic constants of orthotropic composites using guided waves and an inverse problem of property estimation by Masurkar, Faeez

“…Then, an inverse machine learning model is trained using a TS dataset pertaining to different elastic constants generated using the simulations. …”
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Spatiotemporal variation of radionuclide dispersion from nuclear power plant accidents using FLEXPART mini-ensemble modeling by Seyed Omid Nabavi (19418872)

“…The results show remarkable differences in the spatiotemporal distribution of ¹³¹I and ¹³⁷Cs simulations based on the FNL and GFS datasets, which share a common base meteorological model. …”

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

“…Moreover, machine learning (ML) and deep learning (DL) techniques are utilized to classify occupancy patterns. Several simulations are used to evaluate the approach; mainly, we investigated pre-trained and custom convolutional neural network (CNN) models. …”