DCiPatho: deep cross-fusion networks for genome scale identification of pathogens.
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad194
Abstract: Pathogen detection from biological and environmental samples is important for global disease control. Despite advances in pathogen detection using deep learning, current algorithms have limitations in processing long genomic sequences. Through the deep cross-fusion of… read more here.
Keywords: cross fusion; identification pathogens; deep cross; scale identification ... See more keywords
Anomaly Detection and Business Process Orchestration for Low-Code Platform in Power System Based on Deep-Cross Model With Data Balancing
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3525342
Abstract: This paper presents an innovative approach to anomaly detection in electric vehicle (EV) charging platforms, centered around four key innovations that significantly advance the field of charging infrastructure security. First, we introduce a statistically reliable… read more here.
Keywords: detection; deep cross; anomaly detection; model ... See more keywords
MDC-FusFormer: Multiscale Deep Cross-Fusion Transformer Network for Hyperspectral and Multispectral Image Fusion
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3451551
Abstract: The spatial resolution of hyperspectral images (HSIs) is usually limited due to internal imaging mechanisms. To obtain imagery with high spectral and high spatial resolutions, which is essential for subsequent HSI processing tasks, a cost-effective… read more here.
Keywords: deep cross; mdc fusformer; multiscale deep; fusion ... See more keywords