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Filtro per: Contributor Agu, Emmanuel O.

1. Machine Learning Models for Passive Pre-symptomatic Detection of Covid-19 from Smart Wearable Data

Parola chiave:: Infectious Diseases, Smart Wearables, Passive Assessment, and Machine Learning
Creatore:: Sarwar, Atifa
Advisor:: Agu, Emmanuel O.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2024-08-02
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

2. Machine Learning for Optimizing Cognitive Radar Waveforms

Parola chiave:: 5G, Reinforcement Learning, Cognitive Radar, Spectrum Sharing, Software Defined Radio, and Machine Learning
Creatore:: Malcarne, Joshua
Advisor:: Wyglinski, Alexander
Editore:: Worcester Polytechnic Institute
data di creazione:: 2024-06-03
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

3. A Deep Semantic Segmentation Framework for Digitizing Paper Electrocardiograms with Data Augmentation using a Diffusion Model

Creatore:: Ji, Jiaqi
Advisor:: Agu, Emmanuel O.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2023-11-14
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

4. Mobile Paralinguistic Health Assessment from Speech: Energy-Efficient and Privacy-Preserving Neural Network Models

Parola chiave:: Energy efficient, Traumatic brain injury, Deep neural Networks, Depression, Speech assessment, and Speaker privacy
Creatore:: Ditthapron, Apiwat
Advisor:: Lammert, Adam C. and Agu, Emmanuel O.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2024-04-18
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

5. Pressure Injury Stage Image Classification using Cross-Shaped Window Attention Vision Transformers

Parola chiave:: vision transformer, fine-grained visual classification, pressure injuries, image classification, and deep learning
Creatore:: Perkins, Grant
Advisor:: Agu, Emmanuel O.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2021-10-26
Resource Type:: Thesis
Degree:: MS
Unit (Department):: Computer Science

6. Working With What You’ve Got: Leveraging Mislabeled Datasets And Improving Imperfect Pretrained Models

Parola chiave:: Data Science, Machine Learning, Pretrained Models, Generative Modeling, Deep Learning, and Bias
Creatore:: Gerych, Walter
Advisor:: Rundensteiner, Elke A. and Agu, Emmanuel O.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2023-10-06
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

7. Continuous Coverage Motion Planning on 3D Freeform Surfaces

Parola chiave:: Human-Robot Interaction, Coverage Path Planning, UV Mapping, and Constrained Motion Planning
Creatore:: McGovern, Sean
Advisor:: Xiao, Jing
Editore:: Worcester Polytechnic Institute
data di creazione:: 2023-08-11
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Robotics Engineering

8. Robust Representation Learning for Context Recognition on Weakly-supervised Mobile Sensed Data with Covariate-shifts

Parola chiave:: Human context recognition, Ubiquitous computing, Domain adaptation, and Adversarial machine learning
Creatore:: Alajaji, Abdulaziz
Advisor:: Agu, Emmanuel O. and Rundensteiner, Elke A.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2023-04-26
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Data Science

9. Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images

Creatore:: Liu, Ziyang
Advisor:: Agu, Emmanuel O.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2023-05-04
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Computer Science

10. Machine Learning Models for Parkinson's Disease Gait Assessment and Medication Adherence from Smartphone Sensor Data

Parola chiave:: Smartphone sensing, Gait assessment, Parkinson’s disease, Machine learning, Deep learning, and Medication Adherence
Creatore:: Abujrida, Hamza
Advisor:: Agu, Emmanuel O.
Editore:: Worcester Polytechnic Institute
data di creazione:: 2022-12-17
Resource Type:: Dissertation
Degree:: PhD
Unit (Department):: Electrical & Computer Engineering