Thermodynamic analysis of models used in hydrogen production by geothermal energy by Kanoglu, Mehmet

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Prediction of Stability Limits for Binary and Ternary Systems Using the NTRL Liquid Phase Model by Al-Sadoon, Fahad M.

“…Al-Sadoon entitled, "Prediction of Stability Limits for Binary and Ternary Systems Using the NTRL Liquid Phase Model," submitted in January 2013. …”
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Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

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Novel high capacity model for copper binary ion exchange on e-waste derived adsorbent resin by Sabah Mariyam (14150859)

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PCB-waste derived resin as a binary ion exchanger for zinc removal: Isotherm modelling and adsorbent optimization by Shifa Zuhara (14150862)

“…Seven equilibrium isotherm models have been analyzed using the zinc adsorption data; the best fit to the experimental values based on the lowest SSE error was the SIPS model. …”

Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learning Models Based on Dimensionality Reduction by Mohamed, AlShuweihi

“…The second major contribution is the design and construction of a Logistic Regression (LR) ML binary classification model with an accuracy of 87% and F1-score of 89%. …”
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Model robust profile monitoring for the generalized linear mixed model for Phase I analysis by Keerthi Bandara (14777077)

“…<p> The generalized linear mixed model (GLMM) becomes very popular in profile monitoring, especially when the production processes follow nonnormal distribution. …”

Optimized Load-Scheduling Algorithm for CubeSat's Electric Power System Management Considering Communication Link by Bayan Hussein (16904856)

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Model predictive control of shell benchmark process by Amjad, S.

“…The development of model based control (MPC) theory in the past 20-25 years has provided a framework which caters for the above distillation control problem. …”
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An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis by Al-Betar, Mohammed Azmi

“…ARO is a recent swarm-based optimization algorithm that mimics rabbits’ natural survival tactics and eating habits. It was modeled in an optimization context to tackle optimization problems of continuous search spaces. …”
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Physicochemical studies of binary eutectic of ibuprofen and ketoprofen for enhanced transdermal drug delivery by Capomacchia, Anthony Cesare

“…Due to the melting-point depression and enhanced skin lipid solubility, the steady-state flux of ibuprofen and ketoprofen from preparations of the binary eutectic increased as compared to pure NSAIDs using shed snakeskin as a model membrane. …”
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A genetic-based algorithm for fuzzy unit commitment model by Mantawy, A.H.

“…The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. In the implementation for the GA, coding of the UCP solutions is based on mixing binary and decimal representations. …”
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Performance Analysis of Binary and Ternary Blends of Ammonia, Hydrogen, and Diesel in Compression Ignition Engine by Laveet Kumar (11460088)

“…This research introduces a model of a single‐cylinder CI engine developed within the Ricardo wave program, which was simulated across a range of ratios for binary and ternary blends. …”

A union bound on the error probability of binary codes over block-fading channels by Zummo, S.A.

“…Block-fading is a popular channel model that approximates the behavior of different wireless communication systems. …”
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Binary Classification of 3D Small-Scale Medical Images Using Video Vision Transformers by Abi Younes, Simon

“…The applications of the pure Transformer model on sequences of image patches achieved promising results, comparable to those of the Convolutional Neural Networks (CNNs), the leading models of computer vision tasks. …”
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Text mining Nahdawi discourses: topic modeling Taha Hussein’s reformist legacy by Talaat F Mohamed (22928851)

“…Integrating computational methods from the digital humanities, specifically topic modeling applied to a 42-work corpus, with traditional close textual analysis, the study uncovers the structural and thematic patterns underpinning Hussein’s discourse on identity, modernization, and cultural reform. …”

UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

“…<p>Feature selection (FS) is a crucial technique in machine learning and data mining, serving a variety of purposes such as simplifying model construction, facilitating knowledge discovery, improving computational efficiency, and reducing memory consumption. …”

Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke by Afnan Al-Ali (16888695)

“…</p> <p>• Output: An innovative model for more accurate and efficient prediction of the second infarction growth after the first CT scan. …”

Agent Productivity Modeling in a Call Center Domain Using Attentive Convolutional Neural Networks by Ahmed , Abdelrahman

“…In this paper, we propose an objective framework for modeling agent productivity for real estate call centers based on speech signal processing. …”
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Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems by M. Sajid (3070545)

“…We propose the Neuro-fuzzy RVFL (NF-RVFL) model by combining RVFL with neuro-fuzzy system. …”