Browsing KINDI Center for Computing Research by Publisher "Elsevier"
Now showing items 1-10 of 10
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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 ... -
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 ... -
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 ... -
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 ... -
Garbled computation in cloud
( Elsevier , 2016 , Article)With the wide adoption of cloud computing paradigm, it is important to develop appropriate techniques to protect client data privacy in the cloud. Encryption is one of the major techniques that could be used to achieve ... -
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
( Elsevier , 2021 , Article)Big data enables the optimization of complex supply chains through Machine Learning (ML)-based data analytics. However, data analytics comes with challenges such as the loss of control and privacy leading to increased risk ... -
Machine learning for the security of healthcare systems based on Internet of Things and edge computing
( Elsevier , 2022 , Book chapter)Using the Internet of Medical Things (IoMT) for treatment and diagnosis has exponentially grown due to its diverse use cases and efficient planning with defined resources. IoMT in the e-healthcare system enables continuous ... -
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
( Elsevier , 2024 , Article)Mobile devices have become an essential element in our day-to-day lives. The chances of mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting vulnerabilities from devices as well as ... -
Minimizing energy consumption of IoT devices for O-RAN based IoT systems
( Elsevier , 2023 , Article)The implementation of Open Radio Access Network (O-RAN) architecture in Internet of Things (IoT) systems has garnered significant attention as a means to fulfill the stringent requirements of ultra-low latency and ultra-low ... -
Vulnerabilities and countermeasures in electrical substations
( Elsevier , 2021 , Article)The impending and continued threat of cyberattacks on modern utility grids has called for action from the different stakeholders of the electricity sector. This calls for a thorough investigation and review of the weaknesses ...
