Climate anomalies due to Cerrado native vegetation loss حسب Argemiro Leite-Filho (10283801)

"…Our methodology includes the following steps: (1) using machine learning algorithms to model climate variability across the Brazilian Cerrado, (2) evaluating model accuracy, (3) applying a detrending procedure to remove trends related to other factors than deforestation, and (4) validating the detrending process to ensure its reliability.…"

Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles حسب Soham Savarkar (21811825)

"…</p><p dir="ltr">Exposure time (hours): Captures both acute and extended exposure regimes (12 and 24 hrs).…"

Polyanion sodium cathode materials dataset حسب Martin Hoffmann Petersen (13626778)

"…The temperature is maintained at 1000K to facilitate diffusion events, and a time step of 1fs as employed throughout the simulations. …"

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>). …"

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

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

Figures for heart attack prediction using ML حسب Krishnaraj Chadaga (20563994)

"…<p dir="ltr">Heart attack prediction using machine learning involves analyzing biomarkers such as cholesterol levels, blood pressure, heart rate, glucose levels, and inflammatory markers like C-reactive protein to assess risk. Advanced algorithms, including logistic regression, decision trees, random forests, and deep learning models, process this data to identify patterns linked to heart attacks. …"

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_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.docx حسب Liga Bai (22156009)

"…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …"

Image 2_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.jpg حسب Liga Bai (22156009)

"…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …"

Image 1_Erannis jacobsoni disturbance detection based on unmanned aerial vehicle red edge spectral features.jpg حسب Liga Bai (22156009)

"…This study aims to provide with rapid and precise pest occurrence data, enabling timely and effective control measures to preserve and enhance the agroforestry ecological environment. …"

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_Ensemble machine learning for predicting renal function decline in chronic kidney disease: development and external validation.docx حسب Hong Chen (108084)

"…Introduction<p>Chronic kidney disease (CKD) poses a significant global health challenge, requiring timely interventions to manage renal function decline. …"

AP-2α 相关研究 حسب Ya-Hong Wang (21080642)

"…The experiment was repeated three times. *P < 0.05, **P < 0.01, ***P < 0.001 (Student's t-test).…"