Computer Science & Engineering: Recent submissions
Now showing items 61-80 of 2202
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Evaluation of Loss Functions for Segmentation of Corneal Nerves
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Corneal confocal microscopy (CCM) has been advocated as a non-invasive technique for objective diagnosis of very early neuropathy in patients by scanning the corneal subbasal nerve plexus. The obtained images provide a ... -
Experimental analysis of gravity and buoyancy powered energy generation storage systems
( Springer Science and Business Media Deutschland GmbH , 2021 , Conference Paper)The concept of harnessing energy from buoyancy as well as the ability to have underwater energy storage is an area of research that, compared to other renewable energy generation techniques, is relatively unexplored. This ... -
A Review on PPG Compression Techniques and Implementations
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Photoplethysmography is a simple, widely used low cost technique to acquire important diagnostic information for assessing significant physiological parameters of the human body based on the amount of light reflected from ... -
Artificial intelligence-based classification of diabetic peripheral neuropathy from corneal confocal microscopy images
( American Diabetes Association Inc. , 2021 , Other)Diabetic peripheral neuropathy (DPN) is characterized by pain and sensory loss, affecting approximately 50% of patients. Early identification and risk factor management are key to limiting progression of DPN. In contrast ... -
Detection and Collection of Waste Using a Partially Submerged Aquatic Robot
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference Paper)With the amount of waste being dispersed into oceans on the rise, mitigating this issue has become a global concern. In the past few decades, governments, scientists, organizations, and individuals have been attempting to ... -
Smart Hardware Trojan Detection System
( Springer Science and Business Media Deutschland GmbH , 2023 , Conference Paper)The IoT has become an indispensable part of human lives at work and home applications. Due to the need for an enormous number of IoT devices manufacturers are least concerned about security vulnerabilities during designing ... -
Estimating Blood Glucose Levels Using Machine Learning Models with Non-Invasive Wearable Device Data
( IOS Press BV , 2023 , Conference Paper)In 2019 alone, Diabetes Mellitus impacted 463 million individuals worldwide. Blood glucose levels (BGL) are often monitored via invasive techniques as part of routine protocols. Recently, AI-based approaches have shown the ... -
Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke
( Elsevier , 2023 , Article)Ischemic stroke, a severe medical condition triggered by a blockage of blood flow to the brain, leads to cell death and serious health complications. One key challenge in this field is accurately predicting infarction ... -
Dataset of usage pattern and energy analysis of an Internet of Things-enabled ceiling fan
( Elsevier , 2023 , Data Paper)Many electrical appliances have progressed from sheer prototypes to viable products by being automated with the help of sensors and Internet of Things (IoT). In this data driven century, there aren't many data-centric ... -
Wearable AI Reveals the Impact of Intermittent Fasting on Stress Levels in School Children During Ramadan
( IOS Press BV , 2023 , Conference Paper)Intermittent fasting has been practiced for centuries across many cultures globally. Recently many studies have reported intermittent fasting for its lifestyle benefits, the major shift in eating habits and patterns is ... -
Wearable Artificial Intelligence for Assessing Physical Activity in High School Children
( MDPI , 2023 , Article)Eighty one percent of adolescents aged 11–17 years are inadequately physically active worldwide. Physical activity (PA) recommendations for high school children have not been studied previously in schools in the Qatar ... -
iMIGS: An innovative AI based prediction system for selecting the best patient-specific glaucoma treatment
( Elsevier , 2023 , Article)The use of AI-based techniques in healthcare are becoming more and more common and more disease-specific. Glaucoma is a disorder in eye that causes damage to the optic nerve which can lead to permanent blindness. It is ... -
Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data
( Elsevier , 2023 , Article)Introduction: Diabetes Mellitus (DM) is characterized by impaired ability to metabolize glucose for use in cells for energy, resulting in high blood sugar (hyperglycemia). DM impacted 463 million individuals worldwide in ... -
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, ... -
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 ... -
Selecting Web services with security compliances: A managerial perspective
( dblp computer science bibliography , 2007 , Conference Paper)This paper proposes a framework of a decision support system (DSS) for the assessment process of selecting Web services with security compliances consistent with the enterprise business goal. The proposed DSS framework is ... -
Security-oriented service composition and evolution
( IEEE , 2006 , Conference Paper)This paper introduces a framework for security-oriented software service composition and evolution. Key building blocks of the framework are a semantic model for specifying the security objectives and properties at the ... -
Identifying contextual properties of software architecture in cloud computing
( IEEE , 2011 , Conference Paper)This paper argues that the contextual properties of cloud-enabled software architecture should be identified and understood differently by cloud consumers. The existing architectures are not designed to exploit the contextual ... -
Secure cloud services: Matrix multiplication revisited
( IEEE , 2013 , Conference Paper)This paper revisits the issue of secure outsourcing of services. It proposes a data scrambling approach of transforming private data into public without public key encryption in the cloud computing context. The approach ... -
Trust in cloud services: Providing more controls to clients
( IEEE , 2013 , Article)Trust is more important than money and will ultimately determine cloud computing's success.