Browsing Faculty Contributions by Subject "Machine learning"
Now showing items 1-20 of 168
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A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices
( Elsevier , 2022 , Article Review)Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly ... -
A machine learning approach of load balance routing to support next-generation wireless networks
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)With the development of Next-generation Wireless Networks (NWNs), delay-sensitive traffic triggered by mobile applications (such as video stream and online games) will become an important part of the NWNs. With the increasing ... -
A machine learning framework for enhancing digital experiences in cultural heritage
( Emerald Group Publishing Ltd. , 2020 , Article)Purpose: Digital tools have been used to document cultural heritage with high-quality imaging and metadata. However, some of the historical assets are totally or partially unlabeled and some are physically damaged, which ... -
A machine learning-based optimization approach for pre-copy live virtual machine migration
( Springer , 2023 , Article)Organizations widely use cloud computing to outsource their computing needs. One crucial issue of cloud computing is that services must be available to clients at all times. However, the cloud services may be temporarily ... -
A new approach to predicting cryptocurrency returns based on the gold prices with support vector machines during the COVID-19 pandemic using sensor-related data
( MDPI , 2021 , Article)In a real-world situation produced under COVID-19 scenarios, predicting cryptocurrency returns accurately can be challenging. Such a prediction may be helpful to the daily economic and financial market. Unlike forecasting ... -
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations
( Elsevier , 2021 , Article)Background: Diabetic Sensorimotor polyneuropathy (DSPN) is one of the major indelible complications in diabetic patients. Michigan neuropathy screening instrumentation (MNSI) is one of the most common screening techniques ... -
A novel Conceptual Machine Learning Method using Random Conceptual Decomposition
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Formal Concept Analysis (FCA) is emerging in Data Science because of its generality, simplicity, and powerful mathematical foundation. It enabled a uniform data clustering methods into structured space of formal concepts. ... -
A review on missing values for main challenges and methods
( Elsevier , 2023 , Article Review)Several recent reviews summarize common missing value analysis methods. However, none of them provide a systematic and in-depth summary of the analytical challenges and solutions for dealing with missing values. For the ... -
A systematic review of machine learning classification methodologies for modelling passenger mode choice
( Elsevier , 2021 , Article Review)Machine Learning (ML) approaches are increasingly being investigated as an alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These approaches have the potential to provide valuable insights ... -
An adaptive network coding scheme for multipath transmission in cellular-based vehicular networks
( MDPI AG , 2020 , Article)With the emergence of vehicular Internet-of-Things (IoT) applications, it is a significant challenge for vehicular IoT systems to obtain higher throughput in vehicle-to-cloud multipath transmission. Network Coding (NC) has ... -
Adversarial samples on android malware detection systems for IoT systems
( MDPI AG , 2019 , Article)Many IoT (Internet of Things) systems run Android systems or Android-like systems. With the continuous development of machine learning algorithms, the learning-based Android malware detection system for IoT devices has ... -
An integrated framework for the interaction and 3D visualization of cultural heritage
( Springer , 2023 , Article)In this study, the aim is to design and develop a 3D acquisition, visualization, and interaction framework to preserve cultural heritage and provide new ways to enable museum visitors and cultural audiences to virtually ... -
An integrated framework of data-driven, metaheuristic, and mechanistic modeling approach for biomass pyrolysis
( Elsevier , 2022 , Article)This study presents an integrated hybrid framework of data-driven (cascade forward neural network (CFNN)), metaheuristic (artificial bee colony (ABC)), and a mechanistic modeling (Aspen simulation) approach for the biomass ... -
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu, and Twitch are gaining more momentum recently. Allocating the limited resources in a cost-effective manner while maximizing the ... -
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
( Elsevier , 2022 , Article)Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human ... -
An Open-Source Framework for Modeling RC Shear Walls Using Deep Neural Networks
( Hindawi Limited , 2023 , Article)Reinforced concrete (RC) shear walls macroscopic models are simplified strategies able to simulate the complex nonlinear behavior of RC shear walls to some extent, but their efficacy and robustness are limited. In contrast, ... -
Analysis of customers' satisfaction with baby products: The moderating role of brand image
( Elsevier , 2023 , Article)The previous experience of customers is assessed by textual reviews and ratings to reflect their levels of satisfaction with the service or product. Online reviews and ratings have played a vital role to assess the performance ... -
Analysis of mode choice affects from the introduction of Doha Metro using machine learning and statistical analysis
( Elsevier , 2023 , Article)The aim of this study was to investigate the possible influences of the operation of the new Doha Metro on the travel mode choice behavior in Doha City, Qatar. Revealed preference (RP) and stated preference (SP) survey ... -
Analysis of Unsupervised Consumption Anomaly Detection in Sports Facilities using Artificial Intelligence-Based Data Analytics: A Case Study
( Association for Computing Machinery (ACM) , 2023 , Conference)Sports facilities have exceptionally high energy demand due to the extensive operational requirements and high-occupancy seasonal rates. Towards promoting efficient energy usage and minimal losses, consumption anomaly ... -
Applying big data methods to understanding human behavior and health
( Frontiers Media S.A. , 2018 , Article)[No abstract available]
