[Retracted] Biomechanics of Volleyball Players' Run‐Up and Take‐Off Link under Deep Learning
L Hu, L Liu, K Zhao - Computational intelligence and …, 2022 - Wiley Online Library
In volleyball, the correct approach and start (including the number of steps and stride speed)
are a prerequisite for all technical movements to attack. It can not only improve the horizontal …
are a prerequisite for all technical movements to attack. It can not only improve the horizontal …
[Retracted] The Protective Effect of Interval Exercise on Myocardial Ischemia‐Reperfusion Injury in Players
W Wang - BioMed Research International, 2022 - Wiley Online Library
In recent years, the popularity of sports has been increasing. In the high‐intensity
competition, many players have been injured; most of them are myocardial ischemia. With …
competition, many players have been injured; most of them are myocardial ischemia. With …
RETRACTED: Spring Festival Holiday Tourism Data Mining Based on the Deep Learning Model
R Wang - Scientific Programming, 2022 - Wiley Online Library
With the advent of the era of big data, people have entered a situation of information
overload, how do users filter out the information they need from a large amount of …
overload, how do users filter out the information they need from a large amount of …
Multimodal magnetic resonance image and electroencephalogram constrained fusion algorithm using deep learning
X Li, H Huang - Soft Computing, 2021 - Springer
Traditional fusion algorithm is prone to skipping the multimodal attribute of the magnetic
resonance image (MRI), lack of consideration of the spatial information of …
resonance image (MRI), lack of consideration of the spatial information of …
A Review of Text Classification Based on ML & Data Mining Algorithms
AA Mustafa, AM Abdulazeez - The Indonesian Journal of Computer Science, 2024 - ijcs.net
In the digital era, the field of text classification has experienced transformative growth
through the application of Machine Learning (ML) and Data Mining (DM) algorithms. This …
through the application of Machine Learning (ML) and Data Mining (DM) algorithms. This …
Investigating The Role Of Low-Dimensional Neural Networks In Near-Field Acoustics
N Jain, VD Vani, VH Raj, A Dutt… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
Noise detection and factory product quality testing are all possible using near-field
acoustics. This study examines low-dimensional neural networks for near-field noises. This …
acoustics. This study examines low-dimensional neural networks for near-field noises. This …
Exploring Advanced Techniques in Multilevel Fusion Score Level for Enhanced Data Integration in Complex Systems.
We have discovered five novel strategies to enhance data fusion in complex systems. This
page provides a comprehensive explanation of these five methodologies. Data may be …
page provides a comprehensive explanation of these five methodologies. Data may be …
Skin Disease Recognition Based on Deep Learning Algorithms: A Review
A Darweesh, A Mohsin - The Indonesian Journal of Computer Science, 2024 - ijcs.net
The sharp increase in cases of melanoma and other skin cancers worldwide highlights the
urgent need for improved diagnostic methods. Because skin lesions vary widely and access …
urgent need for improved diagnostic methods. Because skin lesions vary widely and access …
The Interpretability of Invariant Neural Networks in Deep Learning
Neural networks and deep learning allow complicated models to be taught to comprehend
and accomplish difficult tasks. This study calls into question the model's understandability …
and accomplish difficult tasks. This study calls into question the model's understandability …