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Now showing items 1721-1730 of 1781
Adaptive de Algorithm for Novel Energy Control Framework Based on Edge Computing in IIoT Applications
(
IEEE Computer Society
, 2021 , Article)
With the development of the industrial Internet of Things and the advancements in wireless sensor networking technologies, the smart grid based on edge computing now is regarded as being essential for real-time monitoring ...
A Review of Usability Evaluation Techniques for Augmented Reality Systems in Education
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Augmented Reality (AR) converts a gigantic amount of data and analytics into images and/or animations that are overlaid into the real scene. The emerging technology of AR has been investigated for more than forty years, ...
Color-based Fuzzy Classifier for automated detection of cancerous cells in histopathological analysis
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
In usual clinical practice, grading of cancer tissues is often done by an expert histopathologist based on their analysis of micro-level architectural features of the cancerous tissue specimen as well as level of presence ...
Autonomous vehicle sunshade using aluminum panels
(
Springer Science and Business Media Deutschland GmbH
, 2021 , Conference Paper)
The heat build-up inside of a vehicle cabin due to the direct composure of thermal energy when parked outside during the day can be a huge dilemma, the intensity of the problem can be decreased by covering the windows of ...
Time-frequency based signal restoration for laser-ultrasound signals with applications in nondestructive testing
(
IEEE
, 2011 , Conference Paper)
In this paper, an inspection system has been presented that uses Laser-Ultrasound (LU) technique for Nondestructive testing (NDT) of metallic structures with specific interest in Oil & Gas sector. While the developed ...
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 ...