All Research Papers Published In Computational Intelligence and Neuroscience

Retracted
Addendum
10.1155/2024/9851212

RETRACTION: Analysis of Biomechanical Parameters of Martial Arts Routine Athletes’ Jumping Difficulty Based on Image Recognition

Jan 01, 2024
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/6341852.].

Retracted
Addendum
10.1155/2024/9843787

Retracted: Recognition of Diabetic Retinopathy with Ground Truth Segmentation Using Fundus Images and Neural Network Algorithm.

Jan 01, 2024
Computational intelligence and neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/8356081.].

Retracted
Addendum
10.1155/2023/9857630

Retracted: Digital Industry Financial Risk Early Warning System Based on Improved K-Means Clustering Algorithm.

Jan 01, 2023
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/6797185.].

Retracted
Addendum
10.1155/2023/9853805

Retracted: Visual Evaluation of Urban Streetscape Design Supported by Multisource Data and Deep Learning.

Jan 01, 2023
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/3287117.].

Retracted
Addendum
10.1155/2023/9870153

Retracted: Design of IoT Gateway for Crop Growth Environmental Monitoring Based on Edge-Computing Technology.

Jan 01, 2023
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/8327006.].

Retracted
Addendum
10.1155/2023/9831824

Retracted: Research on Sports Health Care Information System Based on Computer Deep Learning Algorithm

Jan 01, 2023
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/1573562.].

Retracted
Addendum
10.1155/2023/9780239

Retracted: Study of Nursing Models by Machine Learning in Children with Congenital Esophageal Atresia.

Jan 01, 2023
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/4147217.].

Retracted
Addendum
10.1155/2023/9878515

Retracted: Comparative Study on the Effect of Various Aerobic Exercises on College Students' Weight Loss Based on Deep Learning Analysis.

Jan 01, 2023
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/6825919.].

Retracted
Supplementary Content
2
10.1155/2023/1263620

Music Similarity Detection Guided by Deep Learning Model.

Jan 01, 2023
Computational Intelligence and Neuroscience
Xiuli Wang

Digital music has become a hot spot with the rapid development of network technology and digital audio technology. The general public is increasingly interested in music similarity detection (MSD). Similarity detection is mainly for music style classification. The core MSD process is to first extract music features, then implement training modeling, and finally input music features into the model for detection. Deep learning (DL) is a relatively new feature extraction technology to improve the extraction efficiency of music features. This paper first introduces the convolutional neural network (CNN) of DL algorithms and MSD. Then, an MSD algorithm is constructed based on CNN. Besides, the Harmony and Percussive Source Separation (HPSS) algorithm separates the original music signal spectrogram and decomposes it into two components: time characteristic harmonics and frequency characteristic shocks. These two elements are input to the CNN together with the data in the original spectrogram for processing. In addition, the training-related hyperparameters are adjusted, and the dataset is expanded to explore the influence of different parameters in the network structure on the music detection rate. Experiments on the GTZAN Genre Collection music dataset show that this method can effectively improve MSD using a single feature. The final detection result is 75.6%, indicating the superiority of this method compared with other classical detection methods.

Retracted
Addendum
10.1155/2023/9783816

Retracted: Design of Teaching Quality Analysis and Management System for PE Courses Based on Data-Mining Algorithm.

Jan 01, 2023
Computational Intelligence and Neuroscience
Computational Intelligence And Neuroscience

[This retracts the article DOI: 10.1155/2022/6830375.].