Browsing Academic by Subject "machine learning"
Now showing items 21-40 of 69
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Automated quantification of penile curvature using artificial intelligence
( Frontiers Media S.A. , 2022 , Article)Objective: To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images. Materials and methods: Nine 3D-printed ... -
Blood Proteomics Analysis Reveals Potential Biomarkers and Convergent Dysregulated Pathways in Autism Spectrum Disorder: A Pilot Study
( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)Autism spectrum disorder (ASD) is an umbrella term that encompasses several disabling neurodevelopmental conditions. These conditions are characterized by impaired manifestation in social and communication skills with ... -
Can AI Help in Screening Viral and COVID-19 Pneumonia?
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 ... -
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
( MDPI , 2022 , Article)Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. ... -
ChatGPT-A double-edged sword for healthcare education? Implications for assessments of dental students
( Wiley , 2023 , Article)Introduction: Open-source generative artificial intelligence (AI) applications are fast-transforming access to information and allow students to prepare assignments and offer quite accurate responses to a wide range of ... -
COLAP: A predictive framework for service function chain placement in a multi-cloud environment
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)Network function virtualization (NFV) over multi-cloud promises network service providers amazing flexibility in service deployment and optimizing cost. Telecommunications applications are, however, sensitive to performance ... -
Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Despite significant improvements over the last few years, cloud-based healthcare applications continue to suffer from poor adoption due to their limitations in meeting stringent security, privacy, and quality of service ... -
Continuous monitoring of power consumption in urban buildings based on Internet of Things
( Taylor and Francis Ltd. , 2021 , Article)Buildings consume a large portion of energy; the major consumption is due to improper use of electrical equipment. Thus, energy efficiency in buildings has become a priority at every level within the building. Previous ... -
Cost effective assessment of transformers using machine learning approach
( IEEE Computer Society , 2014 , Conference Paper)Furan content in transformer oil is highly correlated with the transformer insulation paper aging. In this paper, the ranges of furan content in power transformer is predicted using measurements of transformer oil tests ... -
Crowd Counting: A Survey of Machine Learning Approaches
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Crowd counting is applied in many areas including efficient resources allocation and effective management of emergency situations. In this paper, we survey and compare various crowd counting methods. Additionally, we ... -
Deep CNN-Based real-time traffic light detector for self-driving vehicles
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ... -
DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System
( IEEE Computer Society , 2022 , Article)The rapid growth of Android smart phones and abundant applications (Apps), a new security solution for distributed computing and mobile communications, has prompted many enhanced vendors to use different methods to effectively ... -
Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning
( Royal Society of Chemistry , 2022 , Article)Bacterial endotoxin, a major component of the Gram-negative bacterial outer membrane leaflet, is a lipopolysaccharide shed from bacteria during their growth and infection and can be utilized as a biomarker for bacterial ... -
Digital Twin for Intelligent Context-Aware IoT Healthcare Systems
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Since the emergence of digital and smart healthcare, the world has hastened to apply various technologies in this field to promote better health operation and patients' well being, increase life expectancy, and reduce ... -
DTW based Authentication for Wireless Medical Device Security
( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Wireless medical devices play an important role in providing safety and privacy to patients suffering from major health issues. These light-weight devices can be worn inside or outside the patient's body and provide more ... -
Edge Technologies for Disaster Management: A Survey of Social Media and Artificial Intelligence Integration
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)Within the paradigm of smart cities, smart devices can be considered as a tool to enhance safety. Edge sensing, Internet of Things (IoT), big data, social media analytics, edge computing, and artificial intelligence are ... -
An efficient approach for textual data classification using deep learning
( Frontiers , 2022 , Article)Text categorization is an effective activity that can be accomplished using a variety of classification algorithms. In machine learning, the classifier is built by learning the features of categories from a set of preset ... -
Efficient Pandemic Infection Detection Using Wearable Sensors and Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)More than three years into the coronavirus disease 2019 (COVID-19) pandemic, it can be noted that the measures put in place for societies to manage the spread of this disease could have been better. For example, contact ... -
Expatriates' Housing Dispersal Outlook in a Rapidly Developing Metropolis Based on Urban Growth Predicted Using a Machine Learning Algorithm
( Routledge , 2021 , Article)Housing dispersal in emerging cities should be investigated as it occurs to achieve a better understanding of future housing dispersal. In this study, housing preferences are analyzed in Doha Metropolitan Area based on ... -
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Drone security is currently a major topic of discussion among researchers and industrialists. Although there are multiple applications of drones, if the security challenges are not anticipated and required architectural ...