Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Deep Learning Method for Classification in Brain-Computer Interface Subject The topic of the resource Adaboost; Brain-Computer Interfaces (BCI); Deep Learning; Electroencephalogram (EEG) signals; Inception Network; Residual Network (ResNet); Visual Geometry Group Network (VGGNet) Description An account of the resource Neural activity is the controlling signal used in enabling BCI to have direct communication with a computer. An array of EEG signals aid in the selection of the neural signal. The feature extractors and classifiers have a specific pattern of EEG control for a given BCI protocol, which is tailor-made and limited to that specific signal. Although a single protocol is applied in the deep neural networks used in EEG-based brain-computer interfaces, which are being used in the feature extraction and classification of speech recognition and computer vision, it is unclear how these architectures find themselves generalized in other area and prototypes. The deep learning approach used in transferring knowledge acquired from the source tasks to the target tasks is called transfer learning. Conventional machine learning algorithms have been surpassed by deep neural networks while solving problems concerning the real world. However, the best deep neural networks were identified by considering the knowledge of the problem domain. A significant amount of time and computational resources have to be spent to validate this approach. This work presents a deep learning neural network architecture based on Visual Geometry Group Network (VGGNet), Residual Network (ResNet), and inception network methods. Experimental results show that the proposed method achieves better performance than other methods. 2023 IEEE. Creator An entity primarily responsible for making the resource Subramanian S.C.; Daniel D. Source A related resource from which the described resource is derived 2023 2nd International Conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2023 Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICEEICT56924.2023.10157910" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEEICT56924.2023.10157910</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165776412&amp;doi=10.1109%2FICEEICT56924.2023.10157910&amp;partnerID=40&amp;md5=987bb7d1e5a44a877bdf2af0e868d4a6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165776412&amp;doi=10.1109%2fICEEICT56924.2023.10157910&amp;partnerID=40&amp;md5=987bb7d1e5a44a877bdf2af0e868d4a6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039763-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Subramanian S.C., CHRIST(Deemed to Be University), Departement of Computer Science and Engineering, Karnataka, Bangalore, India; Daniel D., CHRIST(Deemed to Be University), Departement of Computer Science and Engineering, Karnataka, Bangalore, India