Citations (5)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (2)
Wenlong Wang & Baojiang Li. (2023) A novel model based on a 1D-ResCNN and transfer learning for processing EEG attenuation. Computer Methods in Biomechanics and Biomedical Engineering 26:16, pages 1980-1993.
Read now
Read now
Jeremiah Osei-kwakye, Fei Han, Alfred Adutwum Amponsah, Qinghua Ling & Timothy Apasiba Abeo. (2022) A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network. Connection Science 34:1, pages 578-607.
Read now
Read now
Articles from other publishers (3)
Chenhao Bao, Zexuan Hao & Weibei Dou. (2022) Automatic Removal of Scalp EEG Artifacts Using an Interpretable Hybrid Deep Learning Method. Automatic Removal of Scalp EEG Artifacts Using an Interpretable Hybrid Deep Learning Method.
B.V.V.S.R.K.K. Pavan & P. Esther Rani. (2022) An Analysis of Electro Encephalo Gram Recording Systems and Signal Processing Techniques. An Analysis of Electro Encephalo Gram Recording Systems and Signal Processing Techniques.
Rakesh Ranjan, Bikash Chandra Sahana & Ashish Kumar Bhandari. (2021) Ocular artifact elimination from electroencephalography signals: A systematic review. Biocybernetics and Biomedical Engineering 41:3, pages 960-996.
Crossref
Crossref