Image 1_Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression.tif حسب Kun Guo (283211)

"…</p>Objective<p>The aim of this study was to develop and validate ML algorithms for predicting the 6-month prognosis of patients with Acute Cerebral Infarction, using clinical data from two medical centers in China, and to assess the feasibility of implementing Explainable ML in clinical settings.…"

<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b> حسب Shubham Pawar (22471285)

"…</p><p dir="ltr"><b>Reference:</b> <code>cluster_perceptions.py</code> script logic</p><p dir="ltr">Stages:</p><ul><li>(a) Data input</li><li>(b) K-nearest neighbours spatial weights matrix</li><li>(c) Initial agglomerative clustering</li><li>(d) Merging small clusters</li><li>(e-f) Iterative splitting of largest clusters</li></ul><h4>Figure 7: Predicted Urban Perception Scores</h4><p dir="ltr">ET cell-level perception scores across the study area.…"

Table 1_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Table 2_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Table 3_Artificial intelligence in nursing: an integrative review of clinical and operational impacts.pdf حسب Salwa Hassanein (20843468)

"…Key concerns include data privacy risks, algorithmic bias, and the potential erosion of clinical judgment due to overreliance on technology. …"

Data Sheet 1_Early prediction of sepsis-induced coagulopathy in the ICU using interpretable machine learning: a multi-center retrospective cohort study.docx حسب Tao Sha (18829884)

"…Finally, the best-performing model was implemented as a web-based Shiny application featuring an interactive interface.…"

Table 1_Drug-induced agranulocytosis: a disproportionality analysis and umbrella review.docx حسب Yajie Lu (8367015)

"…Time-to-onset analysis was implemented to compare the adverse event onset time among different drugs. …"

Table 2_Drug-induced agranulocytosis: a disproportionality analysis and umbrella review.docx حسب Yajie Lu (8367015)

"…Time-to-onset analysis was implemented to compare the adverse event onset time among different drugs. …"

Abbreviations used in the text. حسب Lorenzo Ruinelli (13014138)

"…Machine Learning (ML) algorithms were developed with 10-fold cross-validation, and diagnostic accuracy was evaluated.…"

Detecting Deception with Emotion -The Role of Emotional AI in Combating Social Engineering Attacks by Stephen Mikah Makoshi حسب Stephen Mikah Makoshi (20998469)

"…Issues such as emotional data privacy, informed consent, algorithmic bias, and compliance with global data protection regulations (e.g., GDPR, CCPA) are critically examined.…"

archive.zip حسب Tasneem Fatima (21976946)

"…The dataset extracted from the archive consists of a large number of labeled images of wheat grains, organized in directories such as <code>wheat_for_cnn</code>, with filenames reflecting numerical categories (e.g., <code>10_1.jpg</code>, <code>100_5.jpg</code>, <code>200_0003.jpg</code>). …"

Core data حسب Baoqiang Chen (21099509)

"…We divided the dataset into training and test sets, using 70% of the genes for training and 30% for testing. We implemented machine learning algorithms using the following R packages: rpart for Decision Trees, gbm for Gradient Boosting Machines (GBM), ranger for Random Forests, the glm function for Generalized Linear Models (GLM), and xgboost for Extreme Gradient Boosting (XGB). …"

Machine vision system for quantification of aortic and pulmonic valvuloplasty catheter compliance حسب Jiazhe Tang (17596080)

"…Upon ballon inflation, the defocused image is then refocused though passive focusing algorithms used to identify the best focal position. …"

Performance evaluation of SpaVGN on melanoma ST dataset. حسب Haiyan Wang (25821)

"…Color-coded regions correspond to different tissue domains. …"

Monotone Cubic B-Splines with a Neural-Network Generator حسب Lijun Wang (176511)

"…We evaluate our method against several existing methods, some of which do not use the monotonicity constraint, on some monotone curves with varying noise levels. We demonstrate that our method outperforms the other methods, especially in high-noise scenarios. …"

Massive Mixed Models in Julia حسب Phillip M. Alday (2814652)

"…<p dir="ltr">Traditional approaches to mixed effects models using generalized least squares or expectation-maximization approaches struggle to scale to datasets with many thousands of observations and hundreds of levels of a single blocking variable. Special casing of nesting or crossing of random effects is required to achieve acceptable computational performance, but this special casing often makes it very difficult to handle less-than-idealized cases, such partial crossing or multiple levels of nesting. …"

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

"…<p>The adoption of semi-automated image processing methods to investigate geo-petrological processes has grown quickly in recent years. …"

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 حسب Roberto Visalli (8152251)

"…<p>The adoption of semi-automated image processing methods to investigate geo-petrological processes has grown quickly in recent years. …"

From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components حسب Teresa Fortunato (21076099)

"…GIS-BIM data exchange routines by programming codes and algorithms are developed in Python. Dynamo “As-built” and “as-damaged” HBIM models are integrated in GIS environment multi-data seismic vulnerability assessment</p>…"

Table 1_Reducing misdiagnosis in AI-driven medical diagnostics: a multidimensional framework for technical, ethical, and policy solutions.docx حسب Yue Li (102191)

"…The main research question is how technical limitations, ethical concerns, and unclear accountability hinder safe and equitable use of AI in real-world clinical practice, and what integrated solutions can minimize errors and promote trust.</p>Methods<p>We conducted a literature review and case analysis across major medical fields, evaluating failure modes such as data pathology, algorithmic bias, and human-AI interaction. …"