TreeMap 2016 Stand Size Code Algorithm (Image Service) حسب U.S. Forest Service (17476914)

"…format=iso19139 "> ISO-19139 metadata</a></li><li> <a href="https://data-usfs.hub.arcgis.com/datasets/usfs::treemap-2016-stand-size-code-algorithm-image-service "> ArcGIS Hub Dataset</a></li><li> <a href="https://apps.fs.usda.gov/fsgisx01/rest/services/RDW_ForestEcology/TreeMap_2016_StandSizeCode_Algorithm/ImageServer "> ArcGIS GeoService</a></li></ul><div> For complete information, please visit <a href="https://data.gov">https://data.gov</a>.…"

Flowchart of DQN algorithm. حسب Jiandong Qiu (20389944)

Comparison of different algorithms. حسب Jiandong Qiu (20389944)

QQESPM-GS - Codes and Data حسب Carlos Pontes (20835533)

"…<p dir="ltr">Codes and Data for the algorithms, methods and experiments presented in the paper titled "QQESPM-GS: an Efficient Solution for Geo-textual Search Parameterized by Graph-based Spatial Patterns".…"

Main code. حسب Jingguo Bi (21439766)

Code and data. حسب Crispin H. V. Cooper (21484906)

"…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…"

Generator network and discriminator network. حسب Xiaojun Wang (50332)

"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"

Source Code and Dataset حسب Swathi Ganesan (14394924)

Code for Most Likely Paths Calculation_ERP حسب Mengqi Yang (21263402)

Co-authorship network (graph generated using the force-directed Fruchterman-Reingold algorithm). حسب Philippine Dupé (21485482)

Access control pseudo-code. حسب Yonggang Huang (223155)

Data and code used in this article. حسب Feng Shen (151470)

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. حسب Jiren CAO (20442214)

source code of the PyMatterSim package حسب Y.-C. Hu (21440990)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Flow chart of study eligibility criteria. حسب André Idegård (22041446)

الموضوعات:

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

"…The data is stored in JSON format under the following labels:</p><ul><li><b>"kannada text"</b> – Kannada algorithmic statement</li><li><b>"text"</b> – English algorithmic statement</li><li><b>"code"</b> – Expected Python output</li></ul><h4><b>Dataset Highlights: -</b></h4><ul><li><b>Triplet Structure:</b> Kannada algorithmic statements, their English translations, and Python code.…"

Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. حسب Agata Skorupka (20469080)

Flowchart of faults identification and location algorithms. حسب Mohammed Youssef (8691402)

Parameters of ML algorithms. حسب Md. Maeen Molla (20827041)