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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3535799
Abstract: Anomaly detection has been widely studied in many domains where abnormal samples with more valuable information than normal samples are of interest to researchers. Numerous methods have been developed for detecting anomalies, with one-class classification…
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Keywords:
detection;
based joint;
joint training;
anomaly detection ... See more keywords
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Published in 2025 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2024.3507176
Abstract: Current schemes are inadequate for achieving low bit error rate (BER) communication under extreme interference and limited pilot samples. Therefore, we propose a receiver scheme based on a spiral multi-hybrid convolutional network (SMMCNet). Specifically, the…
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Keywords:
scheme;
joint training;
receiver scheme;
multi scale ... See more keywords
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3224244
Abstract: Compared with remote sensing image (RSI) captioning methods based on the traditional encoder–decoder model, two-stage RSI captioning methods include an auxiliary remote sensing task to provide prior information, which enables them to generate more accurate…
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Keywords:
remote sensing;
two stage;
joint training;
rsi captioning ... See more keywords
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Published in 2021 at "Journal of strength and conditioning research"
DOI: 10.1519/jsc.0000000000003993
Abstract: ABSTRACT Nakata, H, Nakanishi, Y, Otsuki, S, Mizuno, M, Connor, J, and Doma, K. Six weeks of hip joint training using a novel multihip joint board improves sprint performance in competitive collegiate male sprinters. J…
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Keywords:
sprint performance;
male;
performance;
joint training ... See more keywords
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Published in 2020 at "Healthcare"
DOI: 10.3390/healthcare8030292
Abstract: This study evaluated the effects of an electromyography–functional electrical stimulation interface (EMG–FES interface) combined with real-time balance and gait feedback on ankle joint training in patients with stroke hemiplegia. Twenty-six stroke patients participated in this…
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Keywords:
emg fes;
ankle joint;
fes interface;
joint training ... See more keywords
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Published in 2025 at "Symmetry"
DOI: 10.3390/sym17071005
Abstract: Bilingual Word Embeddings (BWEs) are crucial for multilingual NLP tasks, enabling cross-lingual transfer. While traditional joint training methods require bilingual corpora, their applicability is limited for many language pairs, especially low-resource ones. Unsupervised methods, relying…
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Keywords:
structural asymmetry;
joint training;
non isomorphic;
training ... See more keywords