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Titlebook: Neural Information Processing; 27th International C Haiqin Yang,Kitsuchart Pasupa,Irwin King Conference proceedings 2020 Springer Nature Sw

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樓主: Opulent
51#
發(fā)表于 2025-3-30 09:54:47 | 只看該作者
Kenshi Machida,Isao Nambu,Yasuhiro Wadakations-Software ausgerichtet ist. Schwerpunkt der Ausführungen ist die Anpassung der Software-Entwicklung an die steigenden Anforderungen bezüglich Funktionalit?t, Marktorientierung, Kosten und Zeit.978-3-642-62792-7978-3-642-56147-4Series ISSN 1439-5428 Series E-ISSN 2522-0667
52#
發(fā)表于 2025-3-30 15:54:52 | 只看該作者
53#
發(fā)表于 2025-3-30 18:23:23 | 只看該作者
54#
發(fā)表于 2025-3-30 22:34:43 | 只看該作者
An Attention-Based Interaction-Aware Spatio-Temporal Graph Neural Network for Trajectory Predictiontories of the pedestrians. Experimental results on benchmark pedestrian datasets (ETH and UCY) reveal the competitive performances of AST-GNN in terms of both the final displace error (FDE) and average displacement error (ADE) as compared with state-of-the-art trajectory prediction methods.
55#
發(fā)表于 2025-3-31 03:03:13 | 只看該作者
An EEG Majority Vote Based BCI Classification System for Discrimination of Hand Motor Attempts in Stased method was applied, which determined the finalised predicted label. Our experiment results showed that our proposed EEG classification system achieved . accuracy, . precision, . recall, and . f-score, which outperformed the performance of single well-known classification models. Our findings su
56#
發(fā)表于 2025-3-31 05:32:56 | 只看該作者
57#
發(fā)表于 2025-3-31 09:43:14 | 只看該作者
Disguising Personal Identity Information in EEG Signalshe identity recognition task with an accuracy of 98.4%. The results show that our EEG disguising model can hide about 90% of personal identity information and can preserve most of the other key features. Our code is available at ..
58#
發(fā)表于 2025-3-31 15:54:59 | 只看該作者
Fusioning Multiple Treatment Retina Images into a Single Oneneural network. Image alignment is performed using feature matching with homography computed using GMS (grid-based motion statistics). Evaluation was performed using different fundus images selected from public datasets. From each fundus image we generated different treatment retina images - cropped
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