AIMC Topic: Recognition, Psychology

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Automatic Swimming Activity Recognition and Lap Time Assessment Based on a Single IMU: A Deep Learning Approach.

Sensors (Basel, Switzerland) Aug 3, 2022
This study presents a deep learning model devoted to the analysis of swimming using a single Inertial Measurement Unit (IMU) attached to the sacrum. Gyroscope and accelerometer data were collected from 35 swimmers with various expertise levels during...
Deep Learning Swimming Recognition, Psychology Sacrum
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Lead federated neuromorphic learning for wireless edge artificial intelligence.

Nature communications Jul 25, 2022
In order to realize the full potential of wireless edge artificial intelligence (AI), very large and diverse datasets will often be required for energy-demanding model training on resource-constrained edge devices. This paper proposes a lead federate...
Neural Networks, Computer Artificial Intelligence Brain Recognition, Psychology
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Cultural and Creative Product Design and Image Recognition Based on the Convolutional Neural Network Model.

Computational intelligence and neuroscience Jul 20, 2022
The development in technology has resulted in the utilization of artificial intelligence systems in various fields. In this research, we are going to study cultural and creative product design and image recognition based on a convolutional neural net...
Neural Networks, Computer Artificial Intelligence Recognition, Psychology
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Efficient Detection Method of Pig-Posture Behavior Based on Multiple Attention Mechanism.

Computational intelligence and neuroscience Jul 16, 2022
Due to the low detection precision and poor robustness, the traditional pig-posture and behavior detection method is difficult to apply in the complex pig captivity environment. In this regard, we designed the HE-Yolo (High-effect Yolo) model, which ...
Neural Networks, Computer Algorithms Animals Swine Posture Lighting Recognition, Psychology
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Breaking CAPTCHA with Capsule Networks.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2022
Convolutional Neural Networks have achieved state-of-the-art performance in image classification. Their lack of ability to recognise the spatial relationship between features, however, leads to misclassification of the variants of the same image. Cap...
Humans Neural Networks, Computer Recognition, Psychology
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Multiple attention-based encoder-decoder networks for gas meter character recognition.

Scientific reports Jun 20, 2022
Factories swiftly and precisely grasp the real-time data of the production instrumentation, which is the foundation for the development and progress of industrial intelligence in industrial production. Weather, light, angle, and other unknown circums...
Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Artifacts Recognition, Psychology
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Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition.

Sensors (Basel, Switzerland) Jun 16, 2022
Sign language is the main channel for hearing-impaired people to communicate with others. It is a visual language that conveys highly structured components of manual and non-manual parameters such that it needs a lot of effort to master by hearing pe...
Humans Neural Networks, Computer Language Gestures Recognition, Psychology Sign Language
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Analysis of Two-Piano Teaching Assistant Training Based on Neural Network Model Sound Sequence Recognition.

Computational intelligence and neuroscience Jun 2, 2022
In today's society, with the gradual improve5ment of material living standards, people are also more in pursuit of their own spiritual enjoyment. The study of piano has gradually become a way for people to enrich their spiritual life, and more and mo...
Humans Neural Networks, Computer Artificial Intelligence Emotions Recognition, Psychology
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A Unified Model Using Distantly Supervised Data and Cross-Domain Data in NER.

Computational intelligence and neuroscience May 29, 2022
Named entity recognition (NER) systems are often realized by supervised methods that require large hand-annotated data. When the hand-annotated data is limited, distantly supervised (DS) data and cross-domain (CD) data are usually used separately to ...
Machine Learning Learning Recognition, Psychology
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Deep Learning for Infant Cry Recognition.

International journal of environmental research and public health May 23, 2022
Recognizing why an infant cries is challenging as babies cannot communicate verbally with others to express their wishes or needs. This leads to difficulties for parents in identifying the needs and the health of their infants. This study used deep l...
Humans Neural Networks, Computer Algorithms Infant Deep Learning Data Collection Recognition, Psychology
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