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Automated layer-wise solution for ensemble deep randomized feed-forward neural network
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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 ...
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future
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Elsevier B.V.
, 2022 , Article)
Transfer Optimization has gained a remarkable attention from the Swarm and Evolutionary Computation community in the recent years. It is undeniable that the concepts underlying Transfer Optimization are formulated on solid ...
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Hospitals can predetermine the admission rate and facilitate resource allocation based on valid emergency requests and bed capacity estimation. The excess unoccupied beds can be determined with the help of forecasting the ...
Integration of federated machine learning and blockchain for the provision of secure big data analytics for Internet of Things
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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 ...
An enhanced ensemble deep random vector functional link network for driver fatigue recognition
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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 ...
Secure Bluetooth Communication in Smart Healthcare Systems: A Novel Community Dataset and Intrusion Detection System
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MDPI
, 2022 , Article)
Smart health presents an ever-expanding attack surface due to the continuous adoption of a broad variety of Internet of Medical Things (IoMT) devices and applications. IoMT is a common approach to smart city solutions that ...
A Service-Oriented Approach for Sensing in the Internet of Things: Intelligent Transportation Systems and Privacy Use Cases
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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 ...
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 ...
Advanced Deep Learning for Resource Allocation and Security Aware Data Offloading in Industrial Mobile Edge Computing
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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 ...
Breath Analysis for the in Vivo Detection of Diabetic Ketoacidosis
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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 ...