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License: MIT

71 to 80 of 488 Results

index.h Jan 22, 2026 - dolospy text/x-chdr - 1.1 KB - MD5: 1bc1902c00ef14ba0dc1eda8e83ee433
tokenizer.cpp Jan 22, 2026 - dolospy C++ Source - 1.8 KB - MD5: 7a601aca257e4a9a3a4d060d21491368
tokenizer.h Jan 22, 2026 - dolospy text/x-chdr - 245 B - MD5: b424721ba77516ece32504b0803d2d78
interface.cpp Jan 22, 2026 - dolospy C++ Source - 1.1 KB - MD5: 3776958457801dec7fc20cf6ef4ab603
interface.h Jan 22, 2026 - dolospy text/x-chdr - 222 B - MD5: f70d3f56dfecdcbe6a0c7eabcfa484ef
python.cpp Jan 22, 2026 - dolospy C++ Source - 2.4 KB - MD5: fc9ea80f5e4295af554dde440b48e040
Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Jan 8, 2026 Gounoue, Steve, 2026, "Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"", https://doi.org/10.60507/FK2/DRYP80, bonndata, V1 In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.
LICENSE Jan 8, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Plain Text - 1.0 KB - MD5: 6ffa33bfbd01598cc0213f17c6ca3509
README.md Jan 8, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Markdown Text - 3.4 KB - MD5: 1e85be2c22714053b65dfbc35301ee0b
config.py Jan 8, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction" Python Source Code - 4.9 KB - MD5: 3ed7e52601c8b8dc8593dfd451d74117

index.h

Jan 22, 2026 - dolospy

text/x-chdr - 1.1 KB -

tokenizer.cpp

Jan 22, 2026 - dolospy

C++ Source - 1.8 KB -

tokenizer.h

Jan 22, 2026 - dolospy

text/x-chdr - 245 B -

interface.cpp

Jan 22, 2026 - dolospy

C++ Source - 1.1 KB -

interface.h

Jan 22, 2026 - dolospy

text/x-chdr - 222 B -

python.cpp

Jan 22, 2026 - dolospy

C++ Source - 2.4 KB -

Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Jan 8, 2026

Gounoue, Steve, 2026, "Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"", https://doi.org/10.60507/FK2/DRYP80, bonndata, V1

In this repository, you can find the code to train and evaluate SCANNER+, a novel neighborhood-based self-enrichment approach for traffic speed prediction. SCANNER+ learns effective node representations in dynamic road traffic settings. This work extends SCANNER, which utilizes correlation-based pattern detection and a self-enrichment mechanism.

LICENSE

Jan 8, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Plain Text - 1.0 KB -

README.md

Jan 8, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Markdown Text - 3.4 KB -

config.py

Jan 8, 2026 - Implementation of the paper "SCANNER+: Neighborhood-based self-enrichment approach for traffic speed prediction"

Python Source Code - 4.9 KB -

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