AIMC Topic: Recognition, Psychology

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Efficient Detection Method of Pig-Posture Behavior Based on Multiple Attention Mechanism.

Computational intelligence and neuroscience
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 ...

Breaking CAPTCHA with Capsule Networks.

Neural networks : the official journal of the International Neural Network Society
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...

Multiple attention-based encoder-decoder networks for gas meter character recognition.

Scientific reports
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...

Spatial Attention-Based 3D Graph Convolutional Neural Network for Sign Language Recognition.

Sensors (Basel, Switzerland)
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...

Analysis of Two-Piano Teaching Assistant Training Based on Neural Network Model Sound Sequence Recognition.

Computational intelligence and neuroscience
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...

A Unified Model Using Distantly Supervised Data and Cross-Domain Data in NER.

Computational intelligence and neuroscience
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 ...

Deep Learning for Infant Cry Recognition.

International journal of environmental research and public health
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...

Birdsong classification based on ensemble multi-scale convolutional neural network.

Scientific reports
With the intensification of ecosystem damage, birds have become the symbolic species of the ecosystem. Ornithology with interdisciplinary technical research plays a great significance for protecting birds and evaluating ecosystem quality. Deep learni...

Music Morphology Interaction under Artificial Intelligence in Wireless Network Environment.

Computational intelligence and neuroscience
Music has become the main information carrier, and music and its emotional expression are accurately classified to obtain relevant information. However, how to classify music accurately is a problem that needs to be discussed. The concept and feature...

Neural Network-Based Dynamic Segmentation and Weighted Integrated Matching of Cross-Media Piano Performance Audio Recognition and Retrieval Algorithm.

Computational intelligence and neuroscience
This paper presents a dynamic segmentation and weighted comprehensive matching algorithm based on neural networks for cross-media piano performance audio recognition and retrieval. The 3D convolutional neural network process is separated to compress ...