Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
update algorithm » pass algorithm (Expand Search), data algorithms (Expand Search), ipca algorithm (Expand Search)
query processing » pre processing (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
element update » element data (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
update algorithm » pass algorithm (Expand Search), data algorithms (Expand Search), ipca algorithm (Expand Search)
query processing » pre processing (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
element update » element data (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
-
301
<b>Rethinking neighbourhood boundaries for urban planning: A data-driven framework for perception-based delineation</b>
Published 2025“…</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.…”
-
302
Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice
Published 2025“…This table delineates the results of gene expression clustering using the MFUZZ algorithm for three super-hybrid rice varieties, namely LYP9, Y900, and XLY900, along with their progenitor strains. …”
-
303
Integrating urinary metabolomics and clinical datasets for multi-cancer detection
Published 2025“…</p><p dir="ltr">- `group_code`: short group code </p><p dir="ltr"> - e.g., `Normal`, `HTN`, `DM`, `HTN+DM`, `CRC`, `LungCA`, `PancreasCA`.…”
-
304
archive.zip
Published 2025“…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>). …”
-
305
Table3_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).docx
Published 2024“…In addition, a special screening process for designated medical events (DME) was implemented to focus on the evaluation and comparison of safety signals within DME and System Organ Classification (SOC) level, as well as SMQ (Standardised MedDRA Queries) level. …”
-
306
Table1_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX
Published 2024“…In addition, a special screening process for designated medical events (DME) was implemented to focus on the evaluation and comparison of safety signals within DME and System Organ Classification (SOC) level, as well as SMQ (Standardised MedDRA Queries) level. …”
-
307
Table2_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX
Published 2024“…In addition, a special screening process for designated medical events (DME) was implemented to focus on the evaluation and comparison of safety signals within DME and System Organ Classification (SOC) level, as well as SMQ (Standardised MedDRA Queries) level. …”
-
308
Performance evaluation of SpaVGN on melanoma ST dataset.
Published 2025“…Color-coded regions correspond to different tissue domains. …”
-
309
Monotone Cubic B-Splines with a Neural-Network Generator
Published 2024“…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. …”
-
310
Massive Mixed Models in Julia
Published 2025“…<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. …”
-
311
From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components
Published 2025“…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>…”
-
312
University of Arizona authors' scholarly works published and cited works year 2022 from OpenAlex
Published 2025“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”
-
313
University of Arizona authors' scholarly works published and cited works year 2023 from OpenAlex
Published 2025“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”
-
314
University of Arizona authors' scholarly works published and cited works year 2021 from OpenAlex
Published 2025“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”
-
315
University of Arizona authors' scholarly works published and cited works year 2024 from OpenAlex
Published 2025“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”
-
316
University of Arizona authors' scholarly works published and cited works year 2020 from OpenAlex
Published 2025“…</p><p dir="ltr"><b>Data Quality Considerations:</b></p><ul><li>OpenAlex has improved the accuracy of the data with helps from algorithms and institutions.</li><li>Our current data quality assessment showed the precision and recall 95%+.…”
-
317
Climate anomalies due to Cerrado native vegetation loss
Published 2024“…</li></ul><p dir="ltr"><b>Code/software</b></p><p dir="ltr">To analyze the CSV files in your dataset, you can use various software options, such as R and Microsoft Excel. …”