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BRAIN-INSPIRED SPIKING NEURAL NETWORKS FOR WI-FI BASED HUMAN ACTIVITY RECOGNITION
Jordanian Journal of Computers and Information Technology
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10.5455/jjcit.71-1629096728
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2021
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pp. 1
Author(s):
Yee Tan
◽
Yan Wong
◽
Syafeeza Radzi
Keyword(s):
Neural Networks
◽
Activity Recognition
◽
Human Activity
◽
Human Activity Recognition
◽
Spiking Neural Networks
Download Full-text
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Building robust models for Human Activity Recognition from raw accelerometers data using Gated Recurrent Units and Long Short Term Memory Neural Networks
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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10.1109/embc.2019.8857288
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Layer-wise training convolutional neural networks with smaller filters for human activity recognition using wearable sensors
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Data-level information enhancement: Motion-patch-based Siamese Convolutional Neural Networks for human activity recognition in videos
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Human Activity Recognition with Convolutional Neural Networks
Machine Learning and Knowledge Discovery in Databases - Lecture Notes in Computer Science
◽
10.1007/978-3-030-10997-4_33
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◽
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