Results 1 to 10 of about 256,814 (289)
Efficient Federated Learning Scheme Based on Background Optimization [PDF]
Federated learning can effectively ensure the privacy and security of data because it trains data locally on the client.The study of federal learning has made great progress.However,due to the existence of non-independent and identically distributed data,
GUO Gui-juan, TIAN Hui, WANG Tian, JIA Wei-jia
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Advancements in space exploration and sample return technology present a unique opportunity to leverage sample return capsules (SRCs) towards studying atmospheric entry of meteoroids and asteroids.
Elizabeth A. Silber +2 more
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Animal Models for Neuroinflammation and Potential Treatment Methods
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating chronic disease of unknown etiology and without effective treatment options.
Yasuhisa Tamura +5 more
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Multi-omics reveals specific host metabolism-microbiome associations in intracerebral hemorrhage
Intracerebral hemorrhage (ICH) is the most devastating subtype of stroke, but effective prevention and treatment strategies are lacking. Recently, gut microbiome and its metabolitesis are considered to be an influencing factor of stroke.
Lei Chen +13 more
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High-altitude balloons carrying infrasound sensor payloads can be leveraged toward monitoring efforts to provide some advantages over other sensing modalities.
Elizabeth A. Silber, Daniel C. Bowman
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Multi-modality phantom development [PDF]
Multi-modality imaging has an increasing role in the diagnosis and treatment of a large number of diseases, particularly if both functional and anatomical information are acquired and accurately co-registered. Although PET-CT has recently revolutionized the role of imaging for many kinds of cancer, ultrasound is the preferred imaging technology for ...
Huber, Jennifer S. +2 more
openaire +1 more source
Background: The relationship between methylenetetrahydrofolate reductase (MTHFR) gene C677T and A1298C polymorphism with the risk of intracerebral hemorrhage (ICH) has remained to be controversial in recent years.
Xue-Lun Zou +9 more
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Multi-modal Emotion Recognition Based on Dynamic Convolution and Residual Gating [PDF]
To prevent important information containing emotional cues from being obscured by irrelevant information in discourse and to achieve multi-modal information interaction, a multi-modal emotion recognition model based on dynamic convolution and residual ...
Yanxia GUO, Yong JIN, Hong TANG, Jinzhi PENG
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Multi-Modal Entity Alignment Method Based on Feature Enhancement
Multi-modal entity alignment refers to identifying equivalent entities between two different multi-modal knowledge graphs that consist of multi-modal information such as structural triples and descriptive images.
Huansha Wang +3 more
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Fuzzy Interval-Valued Multi Criteria Based Decision Making for Ranking Features in Multi-Modal 3D Face Recognition [PDF]
Soodamani Ramalingam, 'Fuzzy interval-valued multi criteria based decision making for ranking features in multi-modal 3D face recognition', Fuzzy Sets and Systems, In Press version available online 13 June 2017.
Ramalingam, Soodamani
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