Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by Ghulam Mustafa (458105)

“…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. …”

An efficient second order ImEx scheme for the shallow water model in low Froude regime by Lteif, Ralph

“…Through a series of one-and two-dimensional test cases, the method is shown to achieve second-order accuracy for different Froude numbers. …”
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Learning-Based Automatic Modulation Classification by Abdelmutalab, Ameen Elsiddig

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Estimating the Impact of Combined Horizontal and Vertical Curves on Drivers’ Perception by Alozn, Mohammad Essam

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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach by Fahd Saeed Alakbari (10701871)

“…The effects of all independent variables on the CTD are displayed in three-dimensional plots and showed significant interactions.…”

Finite Element Modelling of FRCM-Confined RC Columns Exposed to Fire by Talo, Reem

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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition by Abboud, Ralph

“…Results are encouraging and highlight the potential of our approach in different application domains, ranging over music information retrieval, music composition, assistive music therapy, and emotional intelligence.…”
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A novel approach on the delineation of a multipurpose energy-greenbelt to produce biofuel and combat desertification in arid regions by Mohammad Alherbawi (14155767)

“…COMSOL Multiphysics software was subsequently employed to evaluate the performance of Jatropha-GB and determine its optimal density. The different solutions for GB delineation spans 166.6–227.8 km length and (6 × 6 m) of field density. …”

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…By using a comprehensive dataset with multiple attack types, a well-trained model can be created to improve the anomaly detection performance. However, high dimensional data present a significant challenge for machine learning techniques. …”

Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

“…<p>In the Islamic domain, Hadiths hold significant importance, standing as crucial texts following the Holy Quran. …”

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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Computational Modeling of Motile Cilia-Driven Cerebrospinal Flow in the Brain Ventricles of Zebrafish Embryo by Huseyin Enes Salman (15944811)

“…As the cilium angle gets closer to the wall, higher flow velocities are observed. Phase difference between two adjacent beating cilia also affects the flow field as the cilia with no phase difference produce significantly lower mass flow rates. …”

CO, CO2, and SO2 detection based on functionalized graphene nanoribbons: First principles study by Ehab, Salih

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Local site effects on seismic ground response of major cities in UAE by El-Emam, Magdi

“…Results are presented in terms of response spectral accelerations (RSA) for different site classes in each city. RSA results indicated that the surficial deposits in the studied areas have the ability to amplify earthquake ground motion significantly with peak amplification at relatively narrow frequency range of 1.5–5 Hz (0.2–0.67-s period). …”
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Simulating the thermal behavior of buildings using artificial neural networks-based coarse-grain modeling by Abi-Shdid, C.

“…The main advantages of the approach compared to conventional simulation methods are (1) simplified model construction for the end-user; (2) simplified model reconfiguration; (3) significantly faster simulation runs (orders of magnitude faster for two- and three-dimensional models); and (4) potentially more accurate results. …”
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Coarse-grain method for simulating the thermal behavior of buildings by Abi Shdid, Caesar

“…The main advantages of the approach compared to conventional simulation methods are: (a) simplified model construction for the end-user; (b) simplified model reconfiguration; (c) significantly faster simulation runs (orders of magnitude faster for two and three-dimensional models); and (d) potentially more accurate results. …”
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Intelligent Control of Cable-Driven Parallel Robot for Rehabilitation by Khattab, Omar

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A Fully Optical Laser Based System for Damage Detection and Localization in Rail Tracks Using Ultrasonic Rayleigh Waves: A Numerical and Experimental Study by Masurkar, Faeez

“…Further, As the quality of received signals differs at different sensing points as a result of the surface conditions of the specimen, the Self Adaptive Smart Algorithm (SASA) method was adopted to filter out the noise and accurately pinpoint the defect reflected wave packet which ultimately aids in better detection and localization. …”
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Embodied learning of science concepts through augmented reality technology by Nasser Mansour (17541822)

“…The findings indicated that the use of AR significantly enhanced the students' learning experiences. …”

CO, CO₂, and SO₂ detection based on functionalized graphene nanoribbons: First principles study by Ehab Salih (17075206)

“…Indicating that functionalizing the surface of AGNR can improve significantly its performance for the field of gas sensing.…”