Retraction

Design and Research of the AI Badminton Model Based on the Deep Learning Neural Network

Paper Information

Record ID:
52269
Publication Date:
January 20, 2022
Retraction Date:
January 24, 2024 (1.8 year years ago)
Article Type:
Publisher:
Hindawi
Open Access:
Yes
PubMed ID:
Not indexed in PubMed
Retraction PubMed ID:
Not indexed in PubMed

Citations (7)

7
Total Citations
1
Post-Retraction
(14.3%)
4
Pre-Retraction
1
Same Day
Post-Retraction Citation Analysis
0 Within 30 days
1 Within 1 year
0 After 2+ years
251 Days since retraction (latest)
Heavy Metals Removal Using Carbon Based Nanocomposites
Unknown Authors
Unknown Journal
Published: Unknown
Deep Learning Neural Network-assisted Badminton Movement Recognition and Physical Fitness Training Optimization
Chuanbao He, Min Zhang
Heliyon Open Access
Published: Oct 2024
2 citations
251 days after retraction
Retracted: Design and Research of the AI Badminton Model Based on the Deep Learning Neural Network
Journal of Mathematics
Journal of Mathematics Open Access
Published: Jan 2024
Same day as retraction
Deep Learning Algorithms for Recognition of Badminton Strokes: A Study Using SDNN, RNN, and RNN-GRU Models with Off-Court Video Capture
Wan Hasbullah Mohd Isa, Muhammad Amirul Abdullah, Mohd Azraai Mohd Razman et al. (5 authors)
Lecture notes in networks and systems
Published: Jan 2024
3 citations
23 days before retraction
The Evolution of AI in Sports Training: A Literature Review with Emphasis on Badminton
B. K. Aditi, Ananya Prabhakar, Anish Cherekar et al. (5 authors)
Unknown Journal
Published: Dec 2023
44 days before retraction
Optimizing Badminton Action Recognition with Deep Learning and Sensor Fusion: A Study of Sensor Numbers and Combinations
Lipeng Qin, Donglin Wang, Ming Guo et al. (5 authors)
Unknown Journal
Published: Jul 2023
1 citation
197 days before retraction
Decision support system for effective action recognition of track and field sports using ant colony optimization
Liqin He, Yuedong Ren, Xinnian Cheng
Soft Computing Open Access
Published: Mar 2023
2 citations
323 days before retraction
Quick Stats
Total Citations: 10
Years Since Retraction: 1.8 year
Open Access: Yes
Last Checked: Jul 24, 2025