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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 ...
Random vector functional link neural network based ensemble deep learning for short-term load forecasting
(
Elsevier Ltd
, 2022 , Article)
Electric load forecasting is essential for the planning and maintenance of power systems. However, its un-stationary and non-linear properties impose significant difficulties in predicting future demand. This paper proposes ...
Ensemble of Metaheuristic and Exact Algorithm Based on the Divide-And-Conquer Framework for Multisatellite Observation Scheduling
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
Satellite observation scheduling plays a significant role in improving the efficiency of Earth observation systems. To solve the large-scale multisatellite observation scheduling problem, this article proposes an ensemble ...
Oblique and rotation double random forest
(
Elsevier Ltd
, 2022 , Article)
Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models’ core strength. ...
Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications
(
National Science Foundation
, 2022 , Other)
Artificial Intelligence (Al) and its data-centric branch of machine learning (ML) have greatly evolved over the last few decades. However, as Al is used increasingly in real world use cases, the importance of the ...
Detection of Botnet Attacks against Industrial IoT Systems by Multilayer Deep Learning Approaches
(
Hindawi Limited
, 2022 , Article)
Industry 4.0 is the next revolution in manufacturing technology that is going to change the production and distribution of goods and services within the following decade. Powered by different enabling technologies that are ...
Security concerns on machine learning solutions for 6G networks in mmWave beam prediction
(
Elsevier B.V.
, 2022 , Article)
6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such ...
Secure Vehicular Platoon Management against Sybil Attacks
(
MDPI
, 2022 , Article)
The capacity of highways has been an ever-present constraint in the 21st century, bringing about the issue of safety with greater likelihoods of traffic accidents occurring. Furthermore, recent global oil prices have ...
Preface
(
Institute of Physics
, 2022 , Other)
2022 2nd International Conference on Electron Devices and Applications was held virtually during May 13-15, 2022 via Zoom platform due to the pandemic of COVID-19. With a satisfactory ending of ICEDA 2021, ICEDA 2022 has ...
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 ...