Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…We trained the model on 80% of the expert reviewed variants by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium and tested its performance on the remaining 20%, as well as on an independent set of variants of uncertain significance with experimentally determined functional scores.…"

A Comprehensive Review on Membrane Fouling: Mathematical Modelling, Prediction, Diagnosis, and Mitigation حسب AlSawaftah, Nour Majdi

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Effects of Dunn and Dunn learning styles model on achievement and motivation. (c2013) حسب Daouk, Carma

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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting حسب Aryan Bhambu (18767731)

"…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. The model employs hidden blocks based on transformer encoders to effectively capture complex sequential dependencies in the data. …"

Novel platinum (II) and platinum (IV) complexes exhibit potent chemotherapeutic properties in breast and skin cancer models حسب Farah, Roudy

"…The chemotherapeutic potential was assessed in a DMBA-induced breast cancer model in rats as well as a DMBA/TPA-induced skin cancer model in mice. …"
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Stability and bifurcation analysis of a discrete-time predator-prey model with strong Allee effect حسب Al-Sharawi, Ziyad

"…In this paper, we investigate the impact of Allee effect on the stability of a discrete-time predator-prey model with a non-monotonic functional response. The proposed model supports the coexistence of two steady states, and the mathematical features of the model are analyzed based on local stability and bifurcation theory. …"
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VisioDECT: a novel approach to drone detection using CBAM-integrated YOLO and GELAN-E models حسب Md. Sakib Bin Islam (22828181)

"…Our article proposes a vision-based system for real-time drone identification and classification utilizing YOLOv5, YOLOv8, and GELAN-E deep learning models, enhanced with novel attention mechanisms and interpretability techniques. …"

Dynamics of Neisseria gonorrhoeae transmission among female sex workers and clients: A mathematical modeling study حسب Houssein H., Ayoub

"…MethodsThe study employed an individual-based mathematical model to simulate NG transmission dynamics in sexual networks involving female sex workers (FSWs) and their clients, primarily focusing on the Middle East and North Africa region. …"
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A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems حسب Faria Nawshin (21841598)

"…<p dir="ltr">Federated Learning (FL) is gaining traction in Android-based consumer electronics, enabling collaborative model training across decentralized devices while preserving data privacy. …"

Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach حسب Shaikh Afnan Birahim (22303750)

Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills حسب Abbas, Tariq

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Predicting the Heats of Fusion of Ionic Liquids via Group Contribution Modeling and Machine Learning حسب Zeinab, Samira Jihad

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A Decision Modelling Approach for Perceived and Engaged Immersive Visual Interactive Applications on the Metaverse حسب IBRAHIM, SAMAR

"…The new extended IVFN-FWZIC method weighs the criteria for benchmarking the optimal applications based on experts’ judgments. The results illustrate the effectiveness of the modelling approach and indicate that "spatial" and “haptics” are the most significant criteria in evaluating immersive visual interactive applications. …"
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Hypospadias Reconstruction Training: Development of an Ex-Vivo Model for Objective Evaluation of Surgical Skills حسب Tariq Abbas (368053)

Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model حسب Ahmad N. Alkuwari (22392226)

"…The evaluated machine learning models include traditional shallow detectors, deep learning-based detectors, and hybrid models that employ both horizontal and vertical detection strategies. …"

A machine learning model for early detection of diabetic foot using thermogram images حسب Amith Khandakar (14151981)

"…A comparatively shallow CNN model, MobilenetV2 achieved an F1 score of ∼95% for a two-feet thermogram image-based classification and the AdaBoost Classifier used 10 features and achieved an F1 score of 97%. …"

Validating a Structural Model of Destination Image, Satisfaction, and Loyalty Across Gender and Age حسب Assaker, Guy

"…We confirm that DI predicts satisfaction and has a significant direct and indirect effect on loyalty. After examining the validated structural model across different groups of respondents based on gender, age, and the gender by age interaction, we found that the model constructs differ across some of the groups. …"
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Scatter search for protein structure prediction. (c2008) حسب Kehyayan, Christine Houry

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Sulfur oxidative coupling of methane process development and its modeling via machine learning حسب Giovanni Scabbia (13751501)

"…The outcomes of the simulated process were used to design a data-driven modeling approach, based on machine learning methods, and to evaluate its interpolation accuracy. …"

Cybersecurity effectiveness in UK construction firms: an extended McKinsey 7S model approach حسب Badi, Sulafa

"…An extended McKinsey 7S model is used to analyse the relationship between a construction firm’s cybersecurity effectiveness and nine internal capability elements: shared values, strategy, structure, systems, staff, style, skills, relationships with third parties and regulatory compliance. …"
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