Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition

Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition

A Master of Science thesis in Computer Engineering by Yaman Sufian Albadawi entitled, “Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition”, submitted in June 2024. Thesis advisor is Dr. Tamer Shanableh. Soft copy is available (Thesis, Completion Certificate,...

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Bibliographic Details
Main Author: Albadawi, Yaman Sufian (author)
Format: doctoralThesis
Published: 2024
Subjects:
Sensor-based human activity recognition
Attention
Stepwise regression
Transformer
Long Short Term Memory
Bidirectional Long Short Term Memory
Online Access:https://hdl.handle.net/11073/25620
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https://hdl.handle.net/11073/25620

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