Data from the article titled Machine Learning Algorithms to Predict Digital Competencies in University Faculty by Jenniffer Sobeida Moreira Choez (16933539)

“…<p dir="ltr">The data analyzed are part of the study entitled <i>Machine Learning Algorithms to Predict Digital Competencies in University Faculty</i>, which aimed to develop predictive models based on machine learning algorithms to estimate the level of digital competencies among university faculty. …”

Data-Article-A Novel Hybrid Cloud Density and Fuzzy Clustering Algorithm for Analyzing Traffic Condition by Vahid Baradaran (19749256)

“…A new fuzzy clustering method has been developed to enhance the performance of clustering methods, which is then used to detect abnormal traffic conditions on a route based on the value of traffic variables. …”

Process flow diagram for the differential analysis of beta-valued DNA methylation data using a novel family of beta mixture models. by Koyel Majumdar (20416871)

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Data Sheet 1_Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.csv by Hongjun Tao (21448853)

“…Six machine learning models—K-nearest neighbor (KNN), light gradient boosting machine (LGBM), extreme gradient boosting (XGBoost), random forest (RF), linear model (LM), and support vector machine (SVM)—were developed to predict risk. The performance of each model was evaluated, and the best-performing model was further interpreted using the Shapley Additive Explanations (SHAP) algorithm.…”

Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf by Upinder Kaur (10805317)

“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …”

Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip by Upinder Kaur (10805317)

“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …”

Description of the dataset used for the machine learning algorithm. by Tri Ngo Quang (20390189)

Demonstration of algorithm convergence. by Quyuan Wang (8724972)

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Complete blood counts of a single patient by Daniel Walke (21680915)

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Supplementary Material for: The British-Israeli Project for Algorithm-Based Management of Age-related Macular Degeneration: Deep Learning Integration for Real- World Data Managemen... by figshare admin karger (2628495)

“…Purpose: To describe the development of an integrative dataset, combining clinical and optical coherence tomography (OCT) imaging data by applying a deep learning algorithm for automated, objective, and comprehensive quantification of OCT scans to two large real-world datasets of eyes with neovascular age-related macular degeneration (nAMD). …”

Example of the representation flag based on principal component analysis (PCA) and Q-statistics. by José L. Safanelli (20552654)

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RECS and NHTS data fusion illustration. by Tanmoy Bhowmik (1776838)

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Correlation between measured and simulated data. by Juan Ren (733592)

“…These findings provide evidence-based design guidelines specific to Yulin while offering implications for sustainable residential development in similar climates, advancing the integration of climate-adaptive design strategies.…”

Overall Structure of FuzzyMath-based financial efficiency prediction. by Yanyan Dong (1304145)

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Quantum Descriptor-Based Machine-Learning Modeling of Thermal Hazard of Cyclic Sulfamidates by Michal Dabros (10343989)

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Video 1_Learning-based control for tendon-driven continuum robotic arms.mp4 by Nima Maghooli (21710783)

“…The proposed method employs a customized Modified Transpose Jacobian control strategy for continuum arms, where its parameters are optimally tuned using the Deep Deterministic Policy Gradient algorithm. By integrating an optimal adaptive gain-tuning regulation, the research aims to develop a model-free controller that achieves superior performance compared to ideal model-based strategies. …”

The spatial vector organization schematic. by Haiyan Zhang (176919)

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Strong-noise pixel denoising process schematic. by Haiyan Zhang (176919)

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Weak-noise pixel denoising process schematic. by Haiyan Zhang (176919)

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Data scaling visualization. by Ankur Kumar (1357440)

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