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Full-Text Articles in Engineering
Seizure Detection Using Deep Learning, Information Theoretic Measures And Factor Graphs, Bahareh Salafian
Seizure Detection Using Deep Learning, Information Theoretic Measures And Factor Graphs, Bahareh Salafian
Electronic Thesis and Dissertation Repository
Epilepsy is a common neurological disorder that disrupts normal electrical activity in the brain causing severe impact on patients’ daily lives. Accurate seizure detection based on long-term time-series electroencephalogram (EEG) signals has gained vital importance for epileptic seizure diagnosis. However, visual analysis of these recordings is a time-consuming task for neurologists. Therefore, the purpose of this thesis is to propose an automatic hybrid model-based /data-driven algorithm that exploits inter-channel and temporal correlations. Hence, we use mutual information (MI) estimator to compute correlation between EEG channels as spatial features and employ a carefully designed 1D convolutional neural network (CNN) to extract …
Machine Learning Towards General Medical Image Segmentation, Clara Tam
Machine Learning Towards General Medical Image Segmentation, Clara Tam
Electronic Thesis and Dissertation Repository
The quality of patient care associated with diagnostic radiology is proportionate to a physician's workload. Segmentation is a fundamental limiting precursor to diagnostic and therapeutic procedures. Advances in machine learning aims to increase diagnostic efficiency to replace single applications with generalized algorithms. We approached segmentation as a multitask shape regression problem, simultaneously predicting coordinates on an object's contour while jointly capturing global shape information. Shape regression models inherent point correlations to recover ambiguous boundaries not supported by clear edges and region homogeneity. Its capabilities was investigated using multi-output support vector regression (MSVR) on head and neck (HaN) CT images. Subsequently, …
Process Analytics From Passive Acoustic Emissions Monitoring During Fluidized Bed Pellet Coating In Pharmaceutical Manufacturing, Allan Carter
Electronic Thesis and Dissertation Repository
Piezoelectric microphones were attached to a top spray fluidized bed to provide valuable process signatures. Relationships were developed between sound waves and conditions within the fluidized bed to relay critical quality and performance information. Deep learning analytics were used to extract valuable information from experimental data. Advancements in passive acoustic emissions monitoring will play a key role in optimizing pharmaceutical manufacturing pathways to ensure drug quality and performance.