AIMC Topic: Neural Networks, Computer

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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...

Learning Representations Using RNN Encoder-Decoder for Edge Security Control.

Computational intelligence and neuroscience
Whitelisting is a widely used method in the security field. However, due to the rapid development of the Internet, the traditional whitelisting method cannot promote the security of increasing Internet access. In recent years, with the success of mac...

Deep Learning Algorithm-Based Target Detection and Fine Localization of Technical Features in Basketball.

Computational intelligence and neuroscience
Based on SSD to detect players, a super-pixel-based FCN-CNN player segmentation algorithm is proposed to filter out the complex background around players, which is more conducive to the subsequent pose estimation for target detection and fine localiz...

Analysis of Main Movement Characteristics of Hip Hop Dance Based on Deep Learning of Dance Movements.

Computational intelligence and neuroscience
In order to explore the main action characteristics of hip hop dance, a deep learning recognition system based on dance action is proposed. The network is based on convolution, pooling, and full connection calculation in a convolutional neural networ...

Machine Learning-Based Intelligent Scoring System for English Essays under the Background of Modern Information Technology.

Computational intelligence and neuroscience
This work is to reduce the workload of teachers in English teaching and improve the writing level of students, so as to provide a way for students to practice English composition scoring independently and satisfy the needs of college teachers and stu...

A Novel Keyword Generation Model Based on Topic-Aware and Title-Guide.

Computational intelligence and neuroscience
Keywords are usually one or more words or phrases that describe the subject information of the document. The traditional automatic keywords extraction methods cannot obtain the keywords which do not appear in the document, and the semantic informatio...

Evaluation and Stratification for Chinese International Education Quality with Deep Learning Model.

Computational and mathematical methods in medicine
In the process of human communication, language learning and communication play a fundamental, leading, broad, and long-lasting role. It serves as a link and a bridge between countries and peoples, allowing for greater understanding and camaraderie. ...

AD-CovNet: An exploratory analysis using a hybrid deep learning model to handle data imbalance, predict fatality, and risk factors in Alzheimer's patients with COVID-19.

Computers in biology and medicine
Alzheimer's disease (AD) is the leading cause of dementia globally, with a growing morbidity burden that may exceed diagnosis and management capabilities. The situation worsens when AD patient fatalities are exposed to COVID-19. Because of difference...

Integration of Deep Learning Network and Robot Arm System for Rim Defect Inspection Application.

Sensors (Basel, Switzerland)
Automated inspection has proven to be the most effective approach to maintaining quality in industrial-scale manufacturing. This study employed the eye-in-hand architecture in conjunction with deep learning and convolutional neural networks to automa...