Deep ontology-based human locomotor activity recognition system via multisensory devices
Recognition of human locomotor activities is crucial for monitoring the motion patterns.
Current studies for human locomotor activities recognition focused on detecting basic motion …
Current studies for human locomotor activities recognition focused on detecting basic motion …
Knowledge source rankings for semi-supervised topic modeling
Recent work suggests knowledge sources can be added into the topic modeling process to
label topics and improve topic discovery. The knowledge sources typically consist of a …
label topics and improve topic discovery. The knowledge sources typically consist of a …
[PDF][PDF] An Emotional Analysis Method Based on Multi Model Ensemble Learning
CY Zhang, JJ Wang, LX Wan, RX Yu - Journal of Computers, 2023 - csroc.org.tw
Traditional machine learning models generally use weak supervision model, which is
difficult to adapt to the scene of multi classification for emotional text. Therefore, a multi …
difficult to adapt to the scene of multi classification for emotional text. Therefore, a multi …
[PDF][PDF] Deep Ontology-Based Human Locomotor Activity Recognition System via Multisensory Devices
A ALAZEB, SS ALOTAIBI, NA ALMUJALLY, A JALAL - researchgate.net
Recognition of human locomotor activities is crucial for monitoring the motion patterns.
Current studies for human locomotor activities recognition focused on detecting basic motion …
Current studies for human locomotor activities recognition focused on detecting basic motion …
[图书][B] Knowledge discovery from biomedical and scientific text
J Wood - 2022 - search.proquest.com
The world is overflowing with text. This ever-growing resource has the ability to capture
thoughts, ideas, and understandings. One example is the scientific research paper which …
thoughts, ideas, and understandings. One example is the scientific research paper which …