Features with the top importance score. by Matthew Yit Hang Yeow (20721206)

“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”

Data Sheet 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.docx by Roberto Visalli (8152251)

“…In this study, we have processed X-ray maps of major elements from the 2021 basaltic lava rocks of Pacaya volcano (Guatemala) through the Quantitative X-ray Map Analyzer (Q-XRMA) software. …”

Data Sheet 1_Comprehensive integration of diagnostic biomarker analysis and immune cell infiltration features in sepsis via machine learning and bioinformatics techniques.zip by Liuqing Yang (128705)

Intuitionistic fuzzy number . by Hanan Alolaiyan (18536236)

“…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …”

Experimental message into the integer. by Hanan Alolaiyan (18536236)

“…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …”

Triangular . by Hanan Alolaiyan (18536236)

“…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …”

Graphical representation of triangular 0.6- . by Hanan Alolaiyan (18536236)

“…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …”

Graphical representation of . by Hanan Alolaiyan (18536236)

“…Consequently, inaccurate cryptographic data is more effectively represented, manipulated, and protected. …”

Bayesian Inference of Vector Autoregressions with Tensor Decompositions by Yiyong Luo (6170300)

“…Secondly, to obtain interpretable margins, we propose an interweaving algorithm to improve the mixing of margins and identify the margins using a post-processing procedure. …”

Heatmap of pre-post interview changes in system insights, health equity thinking, & healthy equity action. by Travis R. Moore (19532635)

Data Sheet 1_Evaluating the effectiveness of AI-enhanced “One Body, Two Wings” pharmacovigilance models in China: a nationwide survey on medication safety and risk management.pdf... by Jian Yang (12136)

“…However, the study concludes that successful AI integration is predicated on a robust information systems infrastructure, which the data identified as the most critical foundational element. …”

Data Sheet 1_Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Glycyrrhiza uralensis Fisch.) based on unmanned aerial vehicl... by Ao Zhang (372387)

Data Sheet 2_Integrated diagnostics and time series sensitivity assessment for growth monitoring of a medicinal plant (Glycyrrhiza uralensis Fisch.) based on unmanned aerial vehicl... by Ao Zhang (372387)

Gene co-expression and protein–protein interaction networks of bilaterally shared ISO-ENR DEGs. by Azusa Kubota (17304420)

S1 Graphical abstract - by José M. Rivera-Arbeláez (12418512)

“…The software uses a shape-detection algorithm to single out and track the movement of pillars’ tips for the most common shapes of EHT platforms. …”

Description of features. by Sadia Nazim (21440115)

“…A comprehensive investigation of significant characteristics and their impact on the decision-making process of the model and multiple query point visualizations are some of the contributions. …”

The architecture of the SE-multi-input CNN model. by Bin Zheng (45359)

“…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …”

Confusion matrix for the Multi-input CNN model. by Bin Zheng (45359)

“…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …”

Confusion matrices for single-input CNN models. by Bin Zheng (45359)

“…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …”

Confusion matrix for the Multi-input CNN model. by Bin Zheng (45359)

“…While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variability, data imbalance, and feature representation limitations. …”