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- Keyword
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- 5-HT1B (1)
- 5HT1 A (1)
- Data augmentation techniques are employed to enhance the variability of the training data (1)
- Developmental Differences in Responsivity (1)
- Neuropsychiatric Disorders (1)
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- RU 24969 (1)
- Reducing overfitting and improving generalization. The preliminary outcomes of our proposed method demonstrate a promising accuracy level of 100% over the Large-scale fish dataset (1)
- Sensitization (1)
- The development of robust and efficient fish classification systems has become essential to preventing the rapid depletion of aquatic resources and building conservation strategies. A deep learning approach is proposed here for the automated classification of fish species from underwater images. The proposed methodology leverages state-of-the-art deep neural networks by applying the compact convolutional transformer (CCT) architecture (1)
- This work proposes avenues for future research in the domain of fish classification. (1)
- Tolerance (1)
- Which is famous for faster training and lower computational cost. In CCT (1)
- With the potential for real-time deployment in aquatic monitoring systems. Furthermore (1)
Articles 1 - 2 of 2
Full-Text Articles in Social and Behavioral Sciences
Repeated Treatment With 5-Ht1a And 5-Ht1b Receptor Agonists: Evidence Of Tolerance And Behavioral Sensitization, Jordan Taylor
Repeated Treatment With 5-Ht1a And 5-Ht1b Receptor Agonists: Evidence Of Tolerance And Behavioral Sensitization, Jordan Taylor
Electronic Theses, Projects, and Dissertations
Serotonin has been found to regulate several cognitive and physiological functions, and its role in depression and other neuropsychiatric disorders has been a focus of research. More specifically, a wealth of research regarding serotonin focuses on serotonergic medications in the treatment of neuropsychiatric disorders, such as depression and anxiety, and stimulates the 5-HT1A and 5-HT1B receptors. Within the last decade, there has been an increase in prescriptions of psychotropic medication for children, however, the efficacy and adverse effects of these drugs have not been evaluated in younger populations. While antidepressants reduce symptoms of depression in adults, they are …
Classification Of Large Scale Fish Dataset By Deep Neural Networks, Priyanka Adapa
Classification Of Large Scale Fish Dataset By Deep Neural Networks, Priyanka Adapa
Electronic Theses, Projects, and Dissertations
The development of robust and efficient fish classification systems has become essential to preventing the rapid depletion of aquatic resources and building conservation strategies. A deep learning approach is proposed here for the automated classification of fish species from underwater images. The proposed methodology leverages state-of-the-art deep neural networks by applying the compact convolutional transformer (CCT) architecture, which is famous for faster training and lower computational cost. In CCT, data augmentation techniques are employed to enhance the variability of the training data, reducing overfitting and improving generalization. The preliminary outcomes of our proposed method demonstrate a promising accuracy level of …