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FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network

Research article (IEEE Transactions on Computational Social Systems, 2024) · cited 22× · AI/ML
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FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network

Summary

FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network is a scholarly article[1].

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  • FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network. Retrieved May 24, 2026, from https://4ort.xyz/entity/fmdnet-feature-attention-embedding-based-multimodal-fusion-driving-behavior-classification-network
MLA “FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fmdnet-feature-attention-embedding-based-multimodal-fusion-driving-behavior-classification-network.
BibTeX @misc{4ortxyz_fmdnet-feature-attention-embedding-based-multimodal-fusion-driving-behavior-classification-network_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network}}, year = {2026}, url = {https://4ort.xyz/entity/fmdnet-feature-attention-embedding-based-multimodal-fusion-driving-behavior-classification-network}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FMDNet: Feature-Attention-Embedding-Based Multimodal-Fusion Driving-Behavior-Classification Network — https://4ort.xyz/entity/fmdnet-feature-attention-embedding-based-multimodal-fusion-driving-behavior-classification-network (retrieved 2026-05-24)

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