Search Results - "Deep sparse autoencoder network"
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Authors: et al.
Source: Information Sciences. 428:49-61
Subject Terms: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
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Authors: et al.
Source: Studies in Computational Intelligence ISBN: 9783030615765
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Alternate Title: Plant leaf classification based on Softmax regression and K* deep sparse autoencoder network.
Authors:
Source: Journal of Nanchang University (Natural Science). Dec2019, Vol. 43 Issue 6, p606-610. 5p.
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Alternate Title: Modulation recognition of unmanned aerial vehicle swarm MIMO signals under Alpha stable distribution noise and multipath interference. (English)
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Source: Systems Engineering & Electronics; Nov2024, Vol. 46 Issue 11, p3920-3929, 10p
Subject Terms: ATMOSPHERICS, DRONE aircraft, MULTIPATH channels, AUTOENCODERS, SIGNAL-to-noise ratio
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Authors: et al.
Source: Entropy; Sep2022, Vol. 24 Issue 9, pN.PAG-N.PAG, 15p
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Source: Frontiers in Pharmacology; 2025, p1-12, 12p
Subject Terms: LAMIACEAE, MEDICINAL plants, ETHNIC groups, TEA trade, URBAN ecology, EDIBLE plants, ETHNOBOTANY
Geographic Terms: CHINA, GUIZHOU Sheng (China)
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7
Authors: et al.
Source: Sensors (14248220); Jun2025, Vol. 25 Issue 12, p3832, 18p
Subject Terms: EMOTION recognition, EMOTIONS, DEEP learning, FEATURE extraction, EXTRACTION techniques
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Alternate Title: Research of learning behavior recognition of “artificial intelligence+” based on multi-dimensional features. (English)
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Source: China Medical Education Technology; Jun2025, Vol. 39 Issue 3, p359-369, 11p
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Source: Signal, Image & Video Processing; May2025, Vol. 19 Issue 5, p1-18, 18p
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Authors: et al.
Source: Advances in Bridge Engineering; 3/8/2025, Vol. 6 Issue 1, p1-28, 28p
Subject Terms: STRUCTURAL reliability, ARTIFICIAL intelligence, DATA scrubbing, MACHINE learning, DIGITAL twin, TECHNOLOGY assessment, STRUCTURAL health monitoring
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Authors: et al.
Source: Journal of X-Ray Science & Technology; Mar2025, Vol. 33 Issue 2, p297-316, 20p
Subject Terms: MACHINE learning, ARTIFICIAL intelligence, FEATURE selection, DATABASES, COVID-19, DEEP learning
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Authors: et al.
Source: Scientific Reports; 2/20/2025, Vol. 15 Issue 1, p1-29, 29p
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Authors: et al.
Source: User Modeling & User-Adapted Interaction; Sep2024, Vol. 34 Issue 4, p1327-1367, 41p
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Authors: et al.
Source: Concurrency & Computation: Practice & Experience; Aug2024, Vol. 36 Issue 18, p1-12, 12p
Subject Terms: SENTIMENT analysis, EMOTIONS, FACIAL expression, EDUCATIONAL technology, EMOTIONAL state, FACIAL muscles
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Authors: et al.
Source: Brain Sciences (2076-3425); Aug2024, Vol. 14 Issue 8, p817, 22p
Subject Terms: EMOTION recognition, ELECTROENCEPHALOGRAPHY, EMOTIONS, CLASSIFICATION
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Authors: et al.
Source: CAAI Transactions on Intelligence Technology; Aug2024, Vol. 9 Issue 4, p805-820, 16p
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Authors:
Source: Sensors (14248220); Jun2024, Vol. 24 Issue 11, p3337, 25p
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Authors:
Source: Multimedia Tools & Applications; Apr2024, Vol. 83 Issue 12, p36841-36864, 24p
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Authors: et al.
Source: World Electric Vehicle Journal; Apr2024, Vol. 15 Issue 4, p165, 27p
Subject Terms: SYNCHRONOUS electric motors, DIAGNOSIS, ELECTRIC vehicles, MOTOR vehicles, SIGNAL processing, DEEP learning, ECHO
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Authors: et al.
Source: Multimedia Tools & Applications; Feb2024, Vol. 83 Issue 5, p13659-13688, 30p
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