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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 ...
Fuzzy Identification-Based Encryption for healthcare user face authentication
(
Hamad bin Khalifa University Press (HBKU Press)
, 2022 , Article)
Background: Internet of Medical Things (IOMT) has the potential to monitor health continuously and in real-time. One of the main issues that arise in IOMT is how securely the data can be transmitted to the clinical team. ...
A privacy-preserving handover authentication protocol for a group of MTC devices in 5G networks
(
Elsevier Ltd.
, 2022 , Article)
Machine Type Communication (MTC) has been emerging for a wide range of applications and services for the Internet of Things (IoT). In some scenarios, a large group of MTC devices (MTCDs) may enter the communication coverage ...
Real-time cooperative data routing and scheduling in software defined vehicular networks
(
Elsevier B.V.
, 2022 , Article)
Links in vehicular networks are highly dynamic and generally exist only for a limited amount of time. Moreover, data packets are generally transmitted over multiple hops and have diverse latency requirements. The above ...
Graph ensemble deep random vector functional link network for traffic forecasting
(2022 , Article)
Traffic forecasting is crucial to achieving a smart city as it facilitates public transportation management, autonomous driving, and the resource relocation of the sharing economy. Traffic forecasting belongs to 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 ...
Evolutionary Multitask Optimization: Fundamental research questions, practices, and directions for the future
(
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 ...
Weighting and pruning based ensemble deep random vector functional link network for tabular data classification
(
Elsevier Ltd
, 2022 , Article)
In this paper, we first integrate normalization to the Ensemble Deep Random Vector Functional Link network (edRVFL). This re-normalization step can help the network avoid divergence of the hidden features. Then, we propose ...
Inpatient Discharges Forecasting for Singapore Hospitals by Machine Learning
(
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 ...
Jointly optimized ensemble deep random vector functional link network for semi-supervised classification
(
Elsevier Ltd
, 2022 , Article)
Randomized neural networks have become more and more attractive recently since they use closed-form solutions for parameter training instead of gradient-based approaches. Among them, the random vector functional link network ...