Search
Now showing items 1721-1730 of 1781
Cranial reconstruction after decompressive craniectomy: Prediction of complications using fuzzy logic
(
IEEE
, 2011 , Article)
Introduction: Cranial reconstruction after decompressive craniectomy (DC) has been shown to be associated with a relatively high complication rate (16.4%-34%) compared with standard neurosurgical procedures (2%-5%). Most ...
Computational methods for automated analysis of corneal nerve images: Lessons learned from retinal fundus image analysis
(
Elsevier
, 2020 , Article Review)
Corneal and retinal imaging provide a descriptive view of the nerve and vessel structure present inside the human eye, in a non-invasive manner. This helps in ocular, or other, disease identification and diagnosis. However, ...
Fuzzy prediction of complications in craniopathy
(
IEEE
, 2011 , Conference Paper)
Decompressive craniectomy is a neurosurgical procedure in which part of the skull is removed to allow a swelling brain room to expand. It is a life-saving procedure used in the treatment of medically refractory intracranial ...
Smartphone-based diabetic retinopathy severity classification using convolution neural networks
(
Springer
, 2021 , Conference Paper)
With diabetes growing at an alarming rate, changes in the retina causes a condition called diabetic retinopathy which eventually leads to blindness. Early detection of diabetic retinopathy is the best way to provide good ...
Design and evaluate low-cost wireless sensor network infrastructure to monitor the jetty docking area in rural areas
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
Applications of wireless communication technologies are still on the rise since its introduction, known as the Internet of things. These applications often focus on monitoring applications and real-time services. Jetty ...
IoT Based on-the-fly Visual Defect Detection in Railway Tracks
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Conference Paper)
Railway transportation requires constant inspections and immediate maintenance to ensure public safety. Traditional manual inspections are not only time consuming, and expensive, but the accuracy of defect detection is ...
Fuzzy time-frequency defect classifier for NDT applications
(
IEEE
, 2009 , Conference Paper)
In this paper, a customized classifier is presented for the industry-practiced Nondestructive Evaluation (NDE) protocols using a Hybrid-Fuzzy Inference System (FIS) to classify the and characterize the defects commonly ...
Fun to learn: Project-based learning in robotics for computer engineers
(
Association for Computing Machinery
, 2011 , Article)
This article shares my experiences with the project-based methodology of teaching the same material that a standard text in robotics would teach and will comparatively elaborate the improvement observed in the group of ...
Parametric modeling of EEG signals with real patient data for simulating seizures and pre-seizures
(
IEEE
, 2013 , Conference Paper)
Numerous theories and models have been developed to associate various findings or in relating EEG patterns to develop a software simulators. In this paper, a Dynamic model for simulating the EEG signal has been developed ...
On critical point avoidance among mobile terminals in healthcare monitoring applications: Saving lives through reliable communication software
(
IEEE
, 2012 , Conference Paper)
The advances in Microelectromechanical systems (MEMS), battery life, low powered communication standards, more capable processing units, and hybrid communication have cemented the use of mobile Wireless Body Area Networks ...