Advances of Machine Learning in Electromyography (EMG) Signal Classification

Nahla Abdel-Maboud; et al.
Други: Silvia Parusheva (*); Силвия Парушева (*)

Детайли

Източник: World Journal of Engineering Research and Technology
Издателство: Dr. K. M. Girhepunje et. al.
Местоиздаване: Lakhani, India
Година на издаване: 2022
Страници: pp. 12 [1-20]
Том: 8

ISBN: ISSN 2454-695X
Пор.№: 2
Забележка: Авт.: Nahla F. Abdel-Maboud, Marco Alfonse Tawfik, Silvia Stoyanova Parusheva and Abdel-Badeeh M. Salem
Website: https://www.wjert.org/admin/assets/article_issue/49012022/1643454538.pdf

Действия

MLA (7th edition) Chicago / Turabian (16th edition) Harvard

Abdel-Maboud, Nahla F., et al. Advances of Machine Learning in Electromyography (EMG) Signal Classification, Dr. K. M. Girhepunje et. al., 2022, pp. 12 [1-20], ISSN 2454-695X.

Abdel-Maboud, Nahla F., et al. . Advances of Machine Learning in Electromyography (EMG) Signal Classification. Lakhani, India: Dr. K. M. Girhepunje et. al., 2022, pp. 12 [1-20], ISSN 2454-695X.

Abdel-Maboud, Nahla F., et al. (2022) Advances of Machine Learning in Electromyography (EMG) Signal Classification, Lakhani, India: Dr. K. M. Girhepunje et. al., pp. 12 [1-20], ISSN 2454-695X

* Моля, проверите цитатите за точност, преди да ги включите в работата си.

Advances of Machine Learning in Electromyography (EMG) Signal Classification

Детайли

Допълнителна информация

Действия