Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Biomedical (2)
- Computer Sciences (2)
- Electrical and Electronics (2)
- Physical Sciences and Mathematics (2)
- Theory and Algorithms (2)
-
- Acoustics, Dynamics, and Controls (1)
- Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Biomedical Engineering and Bioengineering (1)
- Computer Engineering (1)
- Diagnosis (1)
- Digital Circuits (1)
- Electromagnetics and Photonics (1)
- Hardware Systems (1)
- Industrial Technology (1)
- Mechanical Engineering (1)
- Medicine and Health Sciences (1)
- Multivariate Analysis (1)
- Operations Research, Systems Engineering and Industrial Engineering (1)
- Other Analytical, Diagnostic and Therapeutic Techniques and Equipment (1)
- Other Biomedical Engineering and Bioengineering (1)
- Statistical Models (1)
- Statistics and Probability (1)
- Systems Engineering (1)
- VLSI and Circuits, Embedded and Hardware Systems (1)
- Keyword
-
- Machine learning (2)
- Acoustic sensors (1)
- Alzheimer’s disease (1)
- Analog to digital converter (1)
- Anomaly detection (1)
-
- Antenna arrays (1)
- Arx modeling (1)
- Autoencoder (1)
- Computer-aided diagnosis (1)
- Dimensionality reduction (1)
- Fiber optics (1)
- Functional Near-Infrared Spectroscopy (fNIRS) (1)
- Inertia measurementunit (1)
- Lstm (1)
- MIMO (1)
- Massive MIMO (1)
- Mild cognitive impairment (MCI) (1)
- Motion artifacts removal (1)
- Multiclass classification (1)
- Multidimensional signal processing (1)
- Multimodal analysis (1)
- Natural language processing (NLP) (1)
- Nuclear (1)
- Phased array (1)
- Piping systems (1)
- Sensor fusion (1)
- Sensor location optimization (1)
- Structural health monitoring (1)
- Vigilance during walking (1)
Articles 1 - 4 of 4
Full-Text Articles in Signal Processing
Digital And Mixed Domain Hardware Reduction Algorithms And Implementations For Massive Mimo, Najath A. Mohomed
Digital And Mixed Domain Hardware Reduction Algorithms And Implementations For Massive Mimo, Najath A. Mohomed
FIU Electronic Theses and Dissertations
Emerging 5G and 6G based wireless communications systems largely rely on multiple-input-multiple-output (MIMO) systems to reduce inherently extensive path losses, facilitate high data rates, and high spatial diversity. Massive MIMO systems used in mmWave and sub-THz applications consists of hundreds perhaps thousands of antenna elements at base stations. Digital beamforming techniques provide the highest flexibility and better degrees of freedom for phased antenna arrays as compared to its analog and hybrid alternatives but has the highest hardware complexity.
Conventional digital beamformers at the receiver require a dedicated analog to digital converter (ADC) for every antenna element, leading to ADCs for …
Structural Health Monitoring Of Pipelines In Radioactive Environments Through Acoustic Sensing And Machine Learning, Michael Thompson
Structural Health Monitoring Of Pipelines In Radioactive Environments Through Acoustic Sensing And Machine Learning, Michael Thompson
FIU Electronic Theses and Dissertations
Structural health monitoring (SHM) comprises multiple methodologies for the detection and characterization of stress, damage, and aberrations in engineering structures and equipment. Although, standard commercial engineering operations may freely adopt new technology into everyday operations, the nuclear industry is slowed down by tight governmental regulations and extremely harsh environments. This work aims to investigate and evaluate different sensor systems for real-time structural health monitoring of piping systems and develop a novel machine learning model to detect anomalies from the sensor data. The novelty of the current work lies in the development of an LSTM-autoencoder neural network to automate anomaly detection …
Detection Of Human Vigilance State During Locomotion Using Wearable Fnirs, Masudur R. Siddiquee
Detection Of Human Vigilance State During Locomotion Using Wearable Fnirs, Masudur R. Siddiquee
FIU Electronic Theses and Dissertations
Human vigilance is a cognitive function that requires sustained attention toward change in the environment. Human vigilance detection is a widely investigated topic which can be accomplished by various approaches. Most studies have focused on stationary vigilance detection due to the high effect of interference such as motion artifacts which are prominent in common movements such as walking. Functional Near-Infrared Spectroscopy is a preferred modality in vigilance detection due to the safe nature, the low cost and ease of implementation. fNIRS is not immune to motion artifact interference, and therefore human vigilance detection performance would be severely degraded when studied …
Development Of Gaussian Learning Algorithms For Early Detection Of Alzheimer's Disease, Chen Fang
Development Of Gaussian Learning Algorithms For Early Detection Of Alzheimer's Disease, Chen Fang
FIU Electronic Theses and Dissertations
Alzheimer’s disease (AD) is the most common form of dementia affecting 10% of the population over the age of 65 and the growing costs in managing AD are estimated to be $259 billion, according to data reported in the 2017 by the Alzheimer's Association. Moreover, with cognitive decline, daily life of the affected persons and their families are severely impacted. Taking advantage of the diagnosis of AD and its prodromal stage of mild cognitive impairment (MCI), an early treatment may help patients preserve the quality of life and slow the progression of the disease, even though the underlying disease cannot …