Sensor-Based Human Activity Recognition Using Deep Stacked Multilayered Perceptron Model
The recent development of machines exhibiting intelligent characteristics involves numerous techniques including computer hardware and software architecture development. Many different hardware devices, wearable sensors, machine learning, and deep learning model implementations are being applied in...
Main Authors: | Furqan Rustam, Aijaz Ahmad Reshi, Imran Ashraf, Arif Mehmood, Saleem Ullah, Dost Muhammad Khan, Gyu Sang Choi |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9277886/ |
Similar Items
-
Multilayer perceptron for face recognition
by: Ričardas Toliušis, et al.
Published: (2017-12-01) -
APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION
by: Khuat Thanh Tung, et al.
Published: (2016-11-01) -
Crossplatform C++ library for multilayer perceptron learning
by: Дмитрий Тариельевич Ибадов, et al.
Published: (2016-05-01) -
Efficient Detection of Phishing Websites Using Multilayer Perceptron
by: Ammar Jamil Odeh, et al.
Published: (2020-07-01) -
KLASIFIKASI WEBSITE MENGGUNAKAN ALGORITMA MULTILAYER PERCEPTRON
by: Nyoman Purnama, et al.
Published: (2014-12-01)