AIMC Topic: Recognition, Psychology

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A Prediction Model Analysis of Behavior Recognition Based on Genetic Algorithm and Neural Network.

Computational intelligence and neuroscience Mar 26, 2022
With the extensive application of virtual technology and simulation algorithm, motion behavior recognition is widely used in various fields. The original neural network algorithm cannot solve the problem of data redundancy in behavior recognition, an...
Neural Networks, Computer Algorithms Computer Simulation Recognition, Psychology
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A Small Network MicronNet-BF of Traffic Sign Classification.

Computational intelligence and neuroscience Mar 18, 2022
One of a very significant computer vision task in many real-world applications is traffic sign recognition. With the development of deep neural networks, state-of-art performance traffic sign recognition has been provided in recent five years. Gettin...
Neural Networks, Computer Recognition, Psychology
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STA-TSN: Spatial-Temporal Attention Temporal Segment Network for action recognition in video.

PloS one Mar 17, 2022
Most deep learning-based action recognition models focus only on short-term motions, so the model often causes misjudgments of actions that are combined by multiple processes, such as long jump, high jump, etc. The proposal of Temporal Segment Networ...
Neural Networks, Computer Recognition, Psychology Communications Media
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Dynamic gesture recognition based on 2D convolutional neural network and feature fusion.

Scientific reports Mar 14, 2022
Gesture recognition is one of the most popular techniques in the field of computer vision today. In recent years, many algorithms for gesture recognition have been proposed, but most of them do not have a good balance between recognition efficiency a...
Humans Neural Networks, Computer Algorithms Gestures Recognition, Psychology Gene Fusion
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An efficient self-attention network for skeleton-based action recognition.

Scientific reports Mar 8, 2022
There has been significant progress in skeleton-based action recognition. Human skeleton can be naturally structured into graph, so graph convolution networks have become the most popular method in this task. Most of these state-of-the-art methods op...
Humans Neural Networks, Computer Algorithms Recognition, Psychology Skeleton
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On the Post Hoc Explainability of Optimized Self-Organizing Reservoir Network for Action Recognition.

Sensors (Basel, Switzerland) Mar 1, 2022
This work proposes a novel unsupervised self-organizing network, called the Self-Organizing Convolutional Echo State Network (SO-ConvESN), for learning node centroids and interconnectivity maps compatible with the deterministic initialization of Echo...
Humans Neural Networks, Computer Algorithms Learning Human Activities Recognition, Psychology
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An Intelligent System for Proper Management and Disposal of Unused and Expired Medications.

International journal of environmental research and public health Mar 1, 2022
For years, several countries have been concerned about how to dispose of unused pharmaceuticals that can endanger human health and the environment. Moreover, some people are in desperate need of medical attention and medications, but they lack the fi...
Humans Artificial Intelligence Algorithms Saudi Arabia Pharmaceutical Preparations Recognition, Psychology Refuse Disposal
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Synaptic Learning With Augmented Spikes.

IEEE transactions on neural networks and learning systems Feb 28, 2022
Traditional neuron models use analog values for information representation and computation, while all-or-nothing spikes are employed in the spiking ones. With a more brain-like processing paradigm, spiking neurons are more promising for improvements ...
Neural Networks, Computer Learning Action Potentials Neurons Recognition, Psychology
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Smart Contract Vulnerability Detection Model Based on Multi-Task Learning.

Sensors (Basel, Switzerland) Feb 25, 2022
The key issue in the field of smart contract security is efficient and rapid vulnerability detection in smart contracts. Most of the existing detection methods can only detect the presence of vulnerabilities in the contract and can hardly identify th...
Neural Networks, Computer Algorithms Semantics Recognition, Psychology
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VGGFace-Ear: An Extended Dataset for Unconstrained Ear Recognition.

Sensors (Basel, Switzerland) Feb 23, 2022
Recognition using ear images has been an active field of research in recent years. Besides faces and fingerprints, ears have a unique structure to identify people and can be captured from a distance, contactless, and without the subject's cooperation...
Humans Neural Networks, Computer Facial Recognition Recognition, Psychology Ear
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