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Št. zadetkov: 3
CNN-Based Vessel Meeting Knowledge Discovery From AIS Vessel Trajectories
Peng Chen, Shuang Liu, Niko Lukač
Izvirni znanstveni članek
Oznake: podatki;odkrivanje znanja;krivulje;vzorec prometa;manevrski vzorec;AIS Data;CNN;Dynamic Rammer-Douglas-Peucker;knowledge discovery;maneuvering pattern;traffic pattern;trajectory;
How to extract a collection of trajectories for different vessels from the raw AIS data to discover vessel meeting knowledge is a heavily studied focus. Here, the AIS database is created based on the raw AIS data after parsing, noise reduction and dynamic Ramer-Douglas-Peucker compression. Potential ...
Leto: 2023 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Knowledge Graph Completion with Triple Structure and Text Representation
Shuang Liu, Yufeng Qin, Man Xu, Simon Kolmanič
Izvirni znanstveni članek
Oznake: knowledge graph completion;BERT;deep convolutional architecture;re-ranking;
Knowledge Graphs (KGs) describe objective facts in the form of RDF triples, each triple contains sufficient semantic information and triple structure information. Knowledge Graph Completion (KGC) is to acquire new knowledge by predicting hidden relationships between entities and adding the new knowl ...
Leto: 2023 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
ǂA ǂVAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network
Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanič
Izvirni znanstveni članek
Oznake: globoko učenje;procesiranje medicinskih slik;CNNs;deep learning;medical image processing;NLP;semantic segmentation;
With the rise of deep learning technology, the field of medical image segmentation has undergone rapid development. In recent years, convolutional neural networks (CNNs) have brought many achievements and become the consensus in medical image segmentation tasks. Although many neural networks based o ...
Leto: 2023 Vir: Fakulteta za elektrotehniko, računalništvo in informatiko (UM FERI)
Št. zadetkov: 3
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