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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Summary: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, Approval Signatures, and AUS Archives Consent Form).

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