Browsing Faculty Contributions by Subject "Detection"
Now showing items 1-9 of 9
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A method towards cerebral aneurysm detection in clinical settings
( Springer Verlag , 2019 , Conference Paper)Cerebral aneurysms are among most prevalent and devastating cerebrovascular diseases of adult population worldwide. The resulting sequelae of untimely/inadequate therapeutic intervention include sub-arachnoid hemorrhage. ... -
Analytical methods for mercury speciation, detection, and measurement in water, oil, and gas
( Elsevier B.V. , 2020 , Article Review)Mercury related compounds are released in massive and alarming amounts due to increased human activities such as the processing of hydrocarbons in the petroleum industry. The contamination due to mercury compounds is ... -
Development of point-of-care nanobiosensors for breast cancers diagnosis
( Elsevier B.V. , 2020 , Article)Nanobiosensors have played a key role as portable devices in the rapid breast cancer diagnosis and in clinical medicine like point-of-care devices. However, understanding biomarkers and nanomaterials is crucial for improving ... -
Embedded wearable EEG seizure detection in ambulatory state
( UK Simulation Society , 2014 , Article)This paper describes a classification method is presented using a Fuzzy System to detect the occurrences of Partial Seizures from Epilepsy data, which can be implemented in any embedded system as a wearable detection system. ... -
Fully automated 2D and 3D convolutional neural networks pipeline for video segmentation and myocardial infarction detection in echocardiography
( Springer , 2022 , Article)Myocardial infarction (MI) is a life-threatening disorder that occurs due to a prolonged limitation of blood supply to the heart muscles, and which requires an immediate diagnosis to prevent death. To detect MI, cardiologists ... -
Nanozyme-based sensing platforms for detection of toxic mercury ions: An alternative approach to conventional methods
( Elsevier B.V. , 2020 , Article)Mercury (Hg) is known as a poisonous heavy metal which stimulates a wide range of adverse effects on the human health. Therefore, development of some feasible, practical and highly sensitive platforms would be desirable ... -
Plasmonic and chiroplasmonic nanobiosensors based on gold nanoparticles
( Elsevier B.V. , 2020 , Article)Development of optical nanobiosensors has emerged as one of the most important bioresearch areas of interest over the past decades especially in the modern innovations in the design and utilization of sensing platforms. ... -
QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model
( Elsevier , 2022 , Article)The reverse transcription-polymerase chain reaction (RT-PCR) test is considered the current gold standard for the detection of coronavirus disease (COVID-19), although it suffers from some shortcomings, namely comparatively ... -
Robust detection of acoustic partial discharge signals in noisy environments
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Partial discharge (PD) can be used to predict insulation failures in power transformers. Accurate detection of particular PD types has a significant role in anticipating forthcoming outages. However, the noise encountered ...