Accesso libero

Cyclic Convolutional Neural Network Model Based on Artificial Intelligence

INFORMAZIONI SU QUESTO ARTICOLO

Cita

Yang, X., Bian, J., Fang, R., Bjarnadottir, R. I., Hogan, W. R., & Wu, Y. (2020). Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. Journal of the American Medical Informatics Association, 27(1), 65-72. Search in Google Scholar

Parsons, R. D., & Ohm, S. (2020). Background rejection in atmospheric Cherenkov telescopes using recurrent convolutional neural networks. The European Physical Journal C, 80(5), 1-11. Search in Google Scholar

Ghonchi, H., Fateh, M., Abolghasemi, V., Ferdowsi, S., & Rezvani, M. (2020). Deep recurrent– convolutional neural network for classification of simultaneous EEG–fNIRS signals. IET Signal Processing, 14(3), 142-153. Search in Google Scholar

Bozkurt, A., Kose, K., Coll-Font, J., Alessi-Fox, C., Brooks, D. H., Dy, J. G., & Rajadhyaksha, M. (2021). Skin strata delineation in reflectance confocal microscopy images using recurrent convolutional networks with attention. Scientific Reports, 11(1), 1-11. Search in Google Scholar

Williams, H. E., Shehata, A. W., Dawson, M. R., Scheme, E., Hebert, J. S., & Pilarski, P. M. (2022). Recurrent convolutional neural networks as an approach to position-aware myoelectric prosthesis control. IEEE Transactions on Biomedical Engineering, 69(7), 2243-2255. Search in Google Scholar

Chintha, A., Thai, B., Sohrawardi, S. J., Bhatt, K., Hickerson, A., Wright, M., & Ptucha, R. (2020). Recurrent convolutional structures for audio spoof and video deepfake detection. IEEE Journal of Selected Topics in Signal Processing, 14(5), 1024-1037. Search in Google Scholar

Lindsay, G. W. (2021). Convolutional neural networks as a model of the visual system: Past, present, and future. Journal of Cognitive Neuroscience, 33(10), 2017-2031. Search in Google Scholar

Alom, M. Z., Hasan, M., Yakopcic, C., Taha, T. M., & Asari, V. K. (2020). Improved inception-residual convolutional neural network for object recognition. Neural Computing and Applications, 32(1), 279-293. Search in Google Scholar

Zou, H. & He, D. (2021). Technology sharing game from ecological perspective. Applied Mathematics and Nonlinear Sciences, 6(1), 81-92. Search in Google Scholar

Singh, S., Mishra, L. & Yadav, V. (2020). A note on Bailey and WP-Bailey pairs. Applied Mathematics and Nonlinear Sciences, 5(2), 143-156. Search in Google Scholar

Liu, B., Zhou, Y., & Sun, W. (2020). Character-level text classification via convolutional neural network and gated recurrent unit. International Journal of Machine Learning and Cybernetics, 11(8), 1939-1949. Search in Google Scholar

Van, S. P., Le, H. M., Thanh, D. V., Dang, T. D., Loc, H. H., & Anh, D. T. (2020). Deep learning convolutional neural network in rainfall–runoff modelling. Journal of Hydroinformatics, 22(3), 541-561. Search in Google Scholar

Karthik, A., & MazherIqbal, J. L. (2021). Efficient speech enhancement using recurrent convolution encoder and decoder. Wireless Personal Communications, 119(3), 1959-1973. Search in Google Scholar

eISSN:
2444-8656
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics