AIMC Topic: Recognition, Psychology

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Chip Appearance Defect Recognition Based on Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 25, 2021
To improve the recognition rate of chip appearance defects, an algorithm based on a convolution neural network is proposed to identify chip appearance defects of various shapes and features. Furthermore, to address the problems of long training time ...
Research Design Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Recognition, Psychology
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Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition.

Sensors (Basel, Switzerland) Oct 12, 2021
Graph Convolutional Networks (GCNs) have attracted a lot of attention and shown remarkable performance for action recognition in recent years. For improving the recognition accuracy, how to build graph structure adaptively, select key frames and extr...
Recognition, Psychology Neural Networks, Computer Skeleton Human Activities Humans
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Investigation of Heterogeneity Sources for Occupational Task Recognition via Transfer Learning.

Sensors (Basel, Switzerland) Oct 8, 2021
Human activity recognition has been extensively used for the classification of occupational tasks. Existing activity recognition approaches perform well when training and testing data follow an identical distribution. However, in the real world, this...
Humans Support Vector Machine Learning Recognition, Psychology
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An Incremental Class-Learning Approach with Acoustic Novelty Detection for Acoustic Event Recognition.

Sensors (Basel, Switzerland) Oct 5, 2021
Acoustic scene analysis (ASA) relies on the dynamic sensing and understanding of stationary and non-stationary sounds from various events, background noises and human actions with objects. However, the spatio-temporal nature of the sound signals may ...
Humans Neural Networks, Computer Acoustics Learning Recognition, Psychology Signal Processing, Computer-Assisted
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Confidence-Calibrated Human Activity Recognition.

Sensors (Basel, Switzerland) Sep 30, 2021
Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sens...
Recognition, Psychology Research Design Aged Probability Human Activities Humans Neural Networks, Computer
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Unsupervised cross-lingual model transfer for named entity recognition with contextualized word representations.

PloS one Sep 21, 2021
Named entity recognition (NER) is one fundamental task in the natural language processing (NLP) community. Supervised neural network models based on contextualized word representations can achieve highly-competitive performance, which requires a larg...
Recognition, Psychology Natural Language Processing Linguistics Benchmarking Semantics Algorithms Names Humans Multilingualism Language Neural Networks, Computer
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Boosting Intelligent Data Analysis in Smart Sensors by Integrating Knowledge and Machine Learning.

Sensors (Basel, Switzerland) Sep 14, 2021
The presented paper proposes a hybrid neural architecture that enables intelligent data analysis efficacy to be boosted in smart sensor devices, which are typically resource-constrained and application-specific. The postulated concept integrates prio...
Neurons Recognition, Psychology Machine Learning Data Analysis Neural Networks, Computer
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A Cost-Efficient High-Speed VLSI Architecture for Spiking Convolutional Neural Network Inference Using Time-Step Binary Spike Maps.

Sensors (Basel, Switzerland) Sep 8, 2021
Neuromorphic hardware systems have been gaining ever-increasing focus in many embedded applications as they use a brain-inspired, energy-efficient spiking neural network (SNN) model that closely mimics the human cortex mechanism by communicating and ...
Neurons Recognition, Psychology Computers Brain Humans Neural Networks, Computer
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Skeleton-Based Action Recognition Based on Distance Vector and Multihigh View Adaptive Networks.

Computational intelligence and neuroscience Aug 18, 2021
Skeleton-based human action recognition has attracted much attention in the field of computer vision. Most of the previous studies are based on fixed skeleton graphs so that only the local physical dependencies among joints can be captured, resulting...
Humans Human Activities Skeleton Recognition, Psychology Neural Networks, Computer Algorithms
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Dynamic graph convolutional networks with attention mechanism for rumor detection on social media.

PloS one Aug 18, 2021
Social media has become an ideal platform for the propagation of rumors, fake news, and misinformation. Rumors on social media not only mislead online users but also affect the real world immensely. Thus, detecting the rumors and preventing their spr...
Disinformation Models, Theoretical Social Media Information Dissemination Neural Networks, Computer Communication Humans Human Activities Recognition, Psychology
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