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Prediction of Stability Limits for Binary and Ternary Systems Using the NTRL Liquid Phase Model
Published 2013“…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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doctoralThesis -
2
Thermodynamic analysis of models used in hydrogen production by geothermal energy
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Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation
Published 2026Subjects: Get full text
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Novel high capacity model for copper binary ion exchange on e-waste derived adsorbent resin
Published 2022Subjects: -
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PCB-waste derived resin as a binary ion exchanger for zinc removal: Isotherm modelling and adsorbent optimization
Published 2023“…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. …”
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An enhanced binary artificial rabbits optimization for feature selection in medical diagnosis
Published 2023“…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
Published 2010“…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
Published 2005“…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
Published 2025“…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. …”
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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
Published 2020“…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
Published 2025“…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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masterThesis -
12
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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Published 2024“…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …”
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Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke
Published 2023“…</p> <p>• Output: An innovative model for more accurate and efficient prediction of the second infarction growth after the first CT scan. …”
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Waste-derived activated carbons for effective adsorptive removal of strontium, barium, and binary pollutants: A response surface methodology study
Published 2024“…The design incorporated response surface modeling (RSM) techniques with a total of 29 different experimental data points collected and analyzed in this study. …”
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Public transport versus solo travel mode choices during the COVID-19 pandemic: Self-reported evidence from a developing country
Published 2021“…., 1,516 complete survey responses, were obtained through a questionnaire that was conducted in Lahore, Pakistan. A binary logistic model was developed using the collected data to model the likelihood of choosing solo or public transport modes during COVID-19. …”
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Published 2023“…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. …”
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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...
Published 2019“…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). …”
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Model robust profile monitoring for the generalized linear mixed model for Phase I analysis
Published 2023“…The majority of previous studies in profile monitoring focused on parametric modeling using the logistic regression model, with both fixed or random effects, under the assumption of correct model specification. …”
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Data communication through distribution networks for smart grid applications
Published 2015“…The error of a coded binary phase shift keying signal propagating through a distribution transformer was measured in the laboratory. …”
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