A hybrid Bi-LSTM and RBM approach for advanced underwater object detection.
This research addresses the imperative need for efficient underwater exploration in the domain of deep-sea resource development, highlighting the importance of autonomous operations to mitigate the challenges posed by high-stress underwater environments. The proposed approach introduces a hybrid mod...
        Saved in:
      
    
          | Main Authors: | Manimurugan S, Karthikeyan P, Narmatha C, Majed M Aborokbah, Anand Paul, Subramaniam Ganesan, Rajendran T, Mohammad Ammad-Uddin | 
|---|---|
| Format: | Article | 
| Language: | English | 
| Published: | Public Library of Science (PLoS)
    
        2024-01-01 | 
| Series: | PLoS ONE | 
| Online Access: | https://doi.org/10.1371/journal.pone.0313708 | 
| Tags: | Add Tag 
      No Tags, Be the first to tag this record!
   | 
Similar Items
- 
                
                    Prediction of cold region dew volume based on an ECOA-BiTCN-BiLSTM hybrid model        
                          
 by: Yi Zhang, et al.
 Published: (2025-02-01)
- 
                
                    Protecting digital assets using an ontology based cyber situational awareness system        
                          
 by: Tariq Ammar Almoabady, et al.
 Published: (2025-01-01)
- 
                
                    Alternative Splicing of Cdh23 Exon 68 Is Regulated by RBM24, RBM38, and PTBP1        
                          
 by: Nana Li, et al.
 Published: (2020-01-01)
- 
                
                    Two-Way Truth Seeker: A Hybrid Method Using LSTM and BiLSTM to Recognize and Classify Fake News        
                          
 by: Harika Juturu, et al.
 Published: (2024-01-01)
- 
                
                    RBM10 promotes transformation-associated processes in small cell lung cancer and is directly regulated by RBM5.        
                          
 by: Julie J Loiselle, et al.
 Published: (2017-01-01)
 
       