Precision curve. by Kushagra Umesh Borse (22537958)

“…<div><p>This paper proposes an automated solution for tree enumeration in areas designated for forest land division using drone image processing. Traditional tree counting methods are time-consuming and error-prone. …”

Multi-Task Learning in Analyzing the Working capacity of MOFs by Junhui Kou (20327073)

“…</p><ul><li><b>CIF files</b>: CIF files for 252,352 MOFs;</li><li><b>Geometric descriptors</b>: 14 geometric descriptors;</li><li><b>Chemical descriptors</b>: 176 chemical descriptors;</li><li><b>Methane_v, Methane_g</b>: Volumetric and gravimetric working capacities for methane adsorption, including methane adsorption data under six pressures across three application scenarios (landfill gas treatment, methane purification, and methane storage);</li><li><b>MTL4MOFsWC</b>: Python code for training the MTL models to predict the working capacity of methane adsorption in MOFs;</li><li><b>best_model_v_full, best_model_v_sim, best_model_g_full, best_model_g_sim</b>: Pre-trained MTL models.…”

Summary table for method section. by Kushagra Umesh Borse (22537958)

“…<div><p>This paper proposes an automated solution for tree enumeration in areas designated for forest land division using drone image processing. Traditional tree counting methods are time-consuming and error-prone. …”

F1 Confidence curve. by Kushagra Umesh Borse (22537958)

“…<div><p>This paper proposes an automated solution for tree enumeration in areas designated for forest land division using drone image processing. Traditional tree counting methods are time-consuming and error-prone. …”

Recall Confidence curve. by Kushagra Umesh Borse (22537958)

“…<div><p>This paper proposes an automated solution for tree enumeration in areas designated for forest land division using drone image processing. Traditional tree counting methods are time-consuming and error-prone. …”

AETDA architecture diagram. by Kushagra Umesh Borse (22537958)

“…<div><p>This paper proposes an automated solution for tree enumeration in areas designated for forest land division using drone image processing. Traditional tree counting methods are time-consuming and error-prone. …”

Precision Recall curve. by Kushagra Umesh Borse (22537958)

“…<div><p>This paper proposes an automated solution for tree enumeration in areas designated for forest land division using drone image processing. Traditional tree counting methods are time-consuming and error-prone. …”

Collaborative Research: A multi-fidelity computational framework for vascular mechanobiology in SimVascular by Han Zhao (21609785)

“…This work presents an open-source algorithm for generating synthetic, space-filling vascular networks beyond image resolution limits. …”

Supplementary file 1_An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction.docx by Songpeng Zhao (21563714)

“…Three machine learning algorithms-Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Gradient Boosting (Gradient Boosting)-were integrated into a multi-level stacking ensemble, with Support Vector Regression serving as the meta-learner. …”

<b>An Empirical Evaluation of Software Quality Classification Based on User Feedback Aligned</b><b>with ISO/IEC 25010</b> by mesut polatgil (22408147)

“…<p dir="ltr">Evaluating software quality without access to the source code is a challenging task, as traditional metrics and testing approaches often rely on internal code analysis. …”

Processed Dataset for “Optimization of Mixed-Model Multi-Manned Assembly Lines for Fuel–Electric Vehicle Co-Production under Workstation Sharing” by Lingling Hu (22555691)

“…It can be used to replicate the analysis and experiments presented in the paper or to test new optimization algorithms for mixed-model assembly line balancing.</p><p dir="ltr">The data are provided in <code>.xlsx</code> format and can be freely accessed for <b>academic and non-commercial purposes only</b>.…”

Table 1_Application of digital tools and artificial intelligence in the Myasthenia Gravis Core Examination.docx by Marc Garbey (393550)

“…Background<p>Advances in video image analysis and artificial intelligence provide opportunities to transform how patients are evaluated. …”

Processed Dataset for “Modeling and Optimization of a Mixed-Model Two-Sided Assembly Line Balancing Problem Considering a Workstation-Sharing Mechanism” by Lingling Hu (22555691)

“…</p><p dir="ltr">The data are provided in <code>.xlsx</code> format and may be freely accessed and reused for <b>academic and non-commercial purposes only</b>.…”

Text-to-SQL Verification Methods and Benchmark by Tarfah Alrashed (15442229)

“…The code allows for the reproduction of our verification experiments and the evaluation of other verification algorithms on our new benchmark.…”

Classification of cell types in the leaf and the sepal. by Frances K. Clark (5617169)

“…Associated with <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003469#pbio.3003469.s010" target="_blank">S10 Fig</a>. The code and data associated with this figure can be found at Open Science Framework (osf.io), <a href="https://doi.org/10.17605/OSF.IO/RFCWS" target="_blank">https://doi.org/10.17605/OSF.IO/RFCWS</a>.…”

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)

“…Background<p>Water and nitrogen are essential elements prone to deficiency during plant growth. Current water–fertilizer monitoring technologies are unable to meet the demands of large-scale Glycyrrhiza uralensis cultivation. …”

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)

“…Background<p>Water and nitrogen are essential elements prone to deficiency during plant growth. Current water–fertilizer monitoring technologies are unable to meet the demands of large-scale Glycyrrhiza uralensis cultivation. …”

The 2009 FDA PRO guidance, Potential Type I error, Descriptive Statistics and Pragmatic estimation of the number of interviews for item elicitation by Josh Fleckner (22075124)

“…The URN model provides a framework to demonstrate that an algorithm such as “first interview with zero new codes” may establish that all codes have been elicited. …”

Polar perspectives: a deep dive into geo-referencing historical Antarctic photos by Felix Dahle (19724405)

“…To aid the process, we use already known approximate positions of the historical images. …”

TreeMap 2016: A tree-level model of the forests of the conterminous United States circa 2016 by Karin L. Riley (19657882)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”