Browsing KINDI Center for Computing Research by Type "Article"
Now showing items 1-20 of 91
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A resource provisioning framework for bioinformatics applications in multi-cloud environments
( Elsevier , 2018 , Article)The significant advancement in Next Generation Sequencing (NGS) have enabled the generation of several gigabytes of raw data in a single sequencing run. This amount of raw data introduces new scalability challenges in ... -
A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)This paper presents a Sensing-as-a-Service run-time Service Oriented Architecture (SOA), called 3SOA, for the development of Internet of Things (IoT) applications. 3SOA aims to allow interoperability among various IoT ... -
Active Computing Toward 5G Internet of Things
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The Internet of Things (IoT) contains enormous computing resources. How to fully and efficiently use computing power is a very important research issue. This article proposes an active computing (AC) concept toward IoT. ... -
Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing
( Mary Ann Liebert Inc. , 2021 , Article)The Internet of Things (IoT) is permeating our daily lives through continuous environmental monitoring and data collection. The promise of low latency communication, enhanced security, and efficient bandwidth utilization ... -
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
( Elsevier , 2023 , Article)This work investigated the use of an ensemble deep random vector functional link (edRVFL) network for electroencephalogram (EEG)-based driver fatigue recognition. Against the low feature learning capability of the edRVFL ... -
Anonymizing transactional datasets
( IOS Press , 2015 , Article)In this paper, we study the privacy breach caused by unsafe correlations in transactional data where individuals have multiple tuples in a dataset. We provide two safety constraints to guarantee safe correlation of the ... -
Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors
( Public Library of Science , 2015 , Article)As the number of sequenced bacterial genomes increases, the need for rapid and reliable tools for the annotation of functional elements (e.g., transcriptional regulatory elements) becomes more desirable. Promoters are the ... -
Automated layer-wise solution for ensemble deep randomized feed-forward neural network
( Elsevier B.V. , 2022 , Article)The randomized feed-forward neural network is a single hidden layer feed-forward neural network that enables efficient learning by optimizing only the output weights. The ensemble deep learning framework significantly ... -
Automatic variable reduction
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)A variable reduction strategy (VRS) is an effective method to accelerate the optimization process of evolutionary algorithms (EAs) by simplifying the corresponding optimization problems. Unfortunately, the VRS is manually ... -
Breath Analysis for the in Vivo Detection of Diabetic Ketoacidosis
( American Chemical Society , 2022 , Article)Human breath analysis of volatile organic compounds has gained significant attention recently because of its rapid and noninvasive potential to detect various metabolic diseases. The detection of ketones in the breath and ... -
Certrust: An SDN-Based Framework for the Trust of Certificates against Crossfire Attacks in IoT Scenarios
( Tech Science Press , 2023 , Article)The low-intensity attack flows used by Crossfire attacks are hard to distinguish from legitimate flows. Traditional methods to identify the malicious flows in Crossfire attacks are rerouting, which is based on statistics. ... -
CloudFlow: A data-aware programming model for cloud workflow applications on modern HPC systems
( Elsevier , 2015 , Article)Traditional High-Performance Computing (HPC) based big-data applications are usually constrained by having to move large amount of data to compute facilities for real-time processing purpose. Modern HPC systems, represented ... -
Collaborative Truck-Drone Routing for Contactless Parcel Delivery during the Epidemic
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The COVID-19 pandemic calls for contactless deliveries. To prevent the further spread of the disease and ensure the timely delivery of supplies, this paper investigates a collaborative truck-drone routing problem for ... -
A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks
( Springer , 2023 , Article)Medical Imaging has become a vital technique that has been embraced in the diagnosis and treatment process of cancer. Histopathological slides, which microscopically examine the suspicious tissue, are considered the golden ... -
Compressive sensing based electronic nose platform
( Elsevier , 2017 , Article)Electronic nose (EN) systems play a significant role for gas monitoring and identification in gas plants. Using an EN system which consists of an array of sensors provides a high performance. Nevertheless, this performance ... -
Context-aware RAON middleware for opportunistic network
( Elsevier B.V. , 2017 , Article)Application development and deployment on Mobile Ad Hoc Networks (MANET) is a major challenge in the widespread use of MANET. The increasing D2D communication in 5G networks has renewed interest in an effective middleware ... -
Cybersecurity for next generation healthcare in Qatar
( Hamad bin Khalifa University Press (HBKU Press) , 2021 , Article)Background: IoMT (Internet of Medical Things) devices (often referred to IoMT domain) have the potential to quickly diagnose and monitor patients outside the hospital by transmitting information through the cloud domain ... -
Cybersecurity of multi-cloud healthcare systems: A hierarchical deep learning approach
( Elsevier Ltd , 2022 , Article)With the increase in sophistication and connectedness of the healthcare networks, their attack surfaces and vulnerabilities increase significantly. Malicious agents threaten patients’ health and life by stealing or altering ... -
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
( Elsevier Inc. , 2023 , Article)Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary ... -
Deep learning for detection of routing attacks in the internet of things
( Atlantis Press , 2018 , Article)Cyber threats are a showstopper for Internet of Things (IoT) has recently been used at an industrial scale. Network layer attacks on IoT can cause significant disruptions and loss of information. Among such attacks, routing ...
