Adapted Long Short-Term Memory (LSTM) for Concurrent\\ Human Activity Recognition

In this era, deep learning methods offer a broad spectrum of efficient and original algorithms to recognize or predict an output when given a sequence of inputs. In current trends, deep learning methods using recent long short-term memory (LSTM) algorithms try to provide superior performance, but th...

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Veröffentlicht in:	Computers, materials & continua Jg. 69; H. 2; S. 1653 - 1670
Hauptverfasser:	Thapa, Keshav, Md. Abdhulla AI, Zubaer, Sung-Hyun, Yang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Henderson Tech Science Press 2021
Schlagworte:	Accuracy Algorithms Artificial intelligence Astronomy Complexity Deep learning Human activity recognition Machine learning Moving object recognition Robotics Smart buildings Ubiquitous computing
ISSN:	1546-2226, 1546-2218, 1546-2226
Online-Zugang:	Volltext
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