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Significant wave height forecasting using hybrid ensemble deep randomized networks with neurons pruning
(
Elsevier Ltd
, 2023 , Article)
The reliable control of wave energy devices highly relies on the forecasts of wave heights. However, the dynamic characteristics and significant fluctuation of waves’ historical data pose challenges to precise predictions. ...
Dynamic ensemble deep echo state network for significant wave height forecasting
(
Elsevier Ltd
, 2023 , Article)
Forecasts of the wave heights can assist in the data-driven control of wave energy systems. However, the dynamic properties and extreme fluctuations of the historical observations pose challenges to the construction of ...
DQN based Blockchain Data Storage in Resource-constrained IoT System
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Conference Paper)
Applying blockchain technology in the Internet of Things (IoT) systems to realize massive data storage is a promising technology, which can eliminate the dependence of IoT on central servers and protect data security ...
Edge computing-enabled green multisource fusion indoor positioning algorithm based on adaptive particle filter
(
Springer
, 2023 , Article)
Edge computing enables portable devices to provide smart applications, and the indoor positioning technique offers accurate location-based indoor navigation and personalized smart services. To achieve the high positioning ...
Quantifying Satisfaction of Security Requirements of Cloud Software Systems
(
Institute of Electrical and Electronics Engineers Inc.
, 2023 , Article)
The satisfaction of a software requirement is commonly stated as a Boolean value, that is, a security requirement is either satisfied (true) or not (false). However, a discrete Boolean value to measure the satisfaction ...