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For: Khalifa Y, Mandic D, Sejdić E. A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals. Information Fusion 2021;69:52-72. [DOI: 10.1016/j.inffus.2020.11.008] [Cited by in Crossref: 6] [Cited by in F6Publishing: 8] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Zuo K, Su X. Three-Dimensional Action Recognition for Basketball Teaching Coupled with Deep Neural Network. Electronics 2022;11:3797. [DOI: 10.3390/electronics11223797] [Reference Citation Analysis]
2 Mi D, Qin L, Cao N. Classification System of National Music Rhythm Spectrogram Based on Biological Neural Network. Computational Intelligence and Neuroscience 2022;2022:1-10. [DOI: 10.1155/2022/2047576] [Reference Citation Analysis]
3 Shoeibi A, Moridian P, Khodatars M, Ghassemi N, Jafari M, Alizadehsani R, Kong Y, Gorriz JM, Ramírez J, Khosravi A, Nahavandi S, Acharya UR. An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106053] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Kumar AK, Ritam M, Han L, Guo S, Chandra R. Deep learning for predicting respiratory rate from biosignals. Computers in Biology and Medicine 2022;144:105338. [DOI: 10.1016/j.compbiomed.2022.105338] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
5 Yang L, Lei W, Bhardwaj A. Computer Vision Positioning and Local Obstacle Avoidance Optimization Based on Neural Network Algorithm. Computational Intelligence and Neuroscience 2022;2022:1-11. [DOI: 10.1155/2022/3061910] [Reference Citation Analysis]
6 Bahador N, Jokelainen J, Mustola S, Kortelainen J. Multimodal spatio-temporal-spectral fusion for deep learning applications in physiological time series processing: A case study in monitoring the depth of anesthesia. Information Fusion 2021;73:125-43. [DOI: 10.1016/j.inffus.2021.03.001] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]