Browsing by Author "n 2009053860"
Now showing items 1-12 of 12
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Application of Machine Learning Techniques for The Prediction of Decompressive Hemicraniectomy Prognosis in Acute Ischemic Stroke
(2019 , Master Thesis)Stroke is one of the leading causes of death in the world with the number of people suffering from it increasing every year. Ischemic strokes, one of the two main types of stroke, occur when blood clots block brain ... -
Defect deconvolution using 3rd order statistics for Ultrasonic Nondestructive Testing
( IEEE , 2007 , Conference)Ultrasonic nondestructive testing (NDT) is primarily based upon the detection and classification of a defect in the field of industrial materials. This information is useful in making administrative decisions in terms of ... -
Defect Deconvolution using 4th Order Statistics for Ultrasonic Nondestructive Testing
( IEEE , 2007 , Conference)Classification of defects using ultrasonic nondestructive testing (NDT) is primarily done in the field of industrial materials to provide useful information in order to assist in making administrative decisions in terms ... -
Diabetic Reinopathy Classification using Deep Learning
(2020 , Master Thesis)With diabetes growing at an alarming rate, changes in the retina of diabetic patients causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best ... -
Failed Back Surgery Syndrome (FBSS) Prediction using Fuzzy Inference System (FIS)
( IEEE , 2007 , Article)In this paper a fuzzy inference system (FIS) is presented to predict the level of risk for a class of patients to be needing a repeated surgery for the herniated lumber disc (or more commonly known as slipped disc). The ... -
Fuzzy mapping of human heuristics for defect classification in gas pipelines using ultrasonic NDE
( IEEE , 2007 , Conference)This paper presents a methodology for classifying the common defects in steel pipelines for transporting petroleum and gas. Usually, the nondestructive evaluation (NDE) experts in the industry judges the defect type by ... -
Infrared Image Enhancement using H{infinity} Bounds for Surveillance Applications
( IEEE , 2008 , Article)In this paper, two algorithms have been presented to enhance the infrared (IR) images. Using the autoregressive moving average model structure and Hinfin optimal bounds, the image pixels are mapped from the IR pixel space ... -
On hybrid-fuzzy classifier design: An empirical modeling scenario for corrosion detection in gas pipelines
( IEEE , 2008 , Conference)In this paper, a customized Fuzzy Inference System is presented to classify the corrosion and distinguish it from the geometric defects or normal state of the steel pipes used in gas/petroleum industry. The presented ... -
Rail Robot for Rail Track Inspection
(2020 , Master Thesis)Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, but also expensive. In addition, the accuracy of defect ... -
Robotic MFL probe design for inspection in structural health monitoring system
( IEEE , 2018 , Conference)Structural health Monitoring (SHM) of civil and mechanical infrastructures using robots is getting a lot of attention in the scientific community. Ultimately, the subsurface defects as well as apparent flaws in the surface ... -
Staticand Dynamic Facial Emotion Recognition Using Neural Network Models
(2020 , Master Thesis)Emotion recognition is the process of identifying human emotions. It is made possible by processing various modalities including facial expressions, speech signals, biometricsignals,etc. Withtheadvancementsincomputingt ... -
Ubiquitous monitoring system for critical cardiac abnormalities
( Springer , 2012 , Book chapter)In many critical cardiac abnormalities, it is desirable to have a monitoring system that can keep a constant surveillance on the conditions of the heart and its related patterns. This can be very convenient in clinical ...
