Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country by Muhammad Abdullah (3357692)

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

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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. …”

An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis by Al-Betar, Mohammed Azmi

“…This paper proposes binary versions of artificial rabbits optimization (ARO) for feature selection (FS) with medical diagnosis data. …”
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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 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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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. …”

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

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

“…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …”

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. …”

Waste-derived activated carbons for effective adsorptive removal of strontium, barium, and binary pollutants: A response surface methodology study by Shifa Zuhara (14150862)

“…The design incorporated response surface modeling (RSM) techniques with a total of 29 different experimental data points collected and analyzed in this study. …”

Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis by Ammar, Abulibdeh

“…Two statistical models and one machine learning model were used to analyze the current and future mode choices: discrete choice binary logit (BL) and multinomial logit (MNL) models as well as extreme gradient boosting (XGBoost). …”
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Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis by Ammar Abulibdeh (15785928)

“…Two statistical models and one machine learning model were used to analyze the current and future mode choices: discrete choice binary logit (BL) and multinomial logit (MNL) models as well as extreme gradient boosting (XGBoost). …”

A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm by Amirsajjad Rahmani (17541453)

“…In this study, features were extracted from signals in time, frequency, and time–frequency domains. The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”

The electronic origin of the ground state spectral features and excited state deactivation in cycloalkanones: the role of intermolecular H-bonding in neat and binary mixtures of so... by Ibrahim Ahmed Z. Al-Ansari (4846957)

“…Experimentally, effective changes in absorption and fluorescence were observed by solute–solvent interaction. The binary K1-solvent1-solv2 configuration, modeled at the B3LYP-DFT level, confirms involvement of inter-molecular H-bonding with the carbonyl C=O in the fluorescence deactivation process (quenching). …”