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A comprehensive review of the deep learning-based tumor analysis approaches in histopathological images: segmentation, classification and multi-learning tasks
(
Springer
, 2023 , Other)
Medical Imaging has become a vital technique that has been embraced in the diagnosis and treatment process of cancer. Histopathological slides, which microscopically examine the suspicious tissue, are considered the golden ...
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 ...
An iterative cyclic tri-strategy hybrid stochastic fractal with adaptive differential algorithm for global numerical optimization
(
Elsevier Inc.
, 2023 , Article)
Many real-life problems can be formulated as numerical optimization problems. Such problems pose a challenge for researchers when designing efficient techniques that are capable of finding the desired solution without ...
A decomposition-based hybrid ensemble CNN framework for driver fatigue recognition
(
Elsevier Inc.
, 2023 , Article)
Electroencephalogram (EEG) has become increasingly popular in driver fatigue monitoring systems. Several decomposition methods have been attempted to analyze the EEG signals that are complex, nonlinear and non-stationary ...
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 ...
Exploration of Carbonate Aggregates in Road Construction using Ultrasonic and Artificial Intelligence Approaches
(
Qatar University Press
, 2023 , Conference Paper)
The COVID-19 pandemic has significantly impacted the construction sector, which is highly sensitive to economic cycles. In order to boost value and efficiency in this sector, the use of innovative exploration technologies ...
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 ...
Edge intelligence-enabled cyber-physical systems
(
John Wiley and Sons Ltd
, 2023 , Other)
With the advent of the Internet of everything era, people's demand for intelligent Internet of Things (IoT) devices is steadily increasing. A more intelligent cyber-physical system (CPS) is needed to meet the diverse ...