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Adaptive multi-source data fusion vessel trajectory prediction model for intelligent maritime traffic
Multi-source vessel automatic identification system (AIS) data gathered in the maritime
Internet of Things (IoT) system has diverse data characteristics, such as sparse satellite data …
Internet of Things (IoT) system has diverse data characteristics, such as sparse satellite data …
Sudden cardiac death prediction based on the complete ensemble empirical mode decomposition method and a machine learning strategy by using ECG signals
Cardiovascular diseases are a significant global health problem, often culminating in
sudden cardiac death (SCD). Approximately 4 million annual deaths worldwide are …
sudden cardiac death (SCD). Approximately 4 million annual deaths worldwide are …
Dynamic simulation based on feature transfer learning with source domain adaptive optimization: Application of data-driven model for aero-engines
X Jia, D Zhou, J Hao, Y Ma, Z Peng - Measurement, 2023 - Elsevier
Sensors are difficult to arrange inside complex aero-engine systems because of harsh
operating environment. Aero-engine thermodynamic models can be used as virtual sensors …
operating environment. Aero-engine thermodynamic models can be used as virtual sensors …
Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification …
The world has a higher count of death rates as a result of Alcohol consumption. Identification
is possible because Alcoholic EEG waves have a certain behavior that is totally different …
is possible because Alcoholic EEG waves have a certain behavior that is totally different …
IR-based device to acquire real-time online heart ECG signals of fish (Cyprinus carpio) to evaluate the water quality
Water quality monitoring is a challenging task due to continuous pollution. The rapid
development of engineering technologies has paved the way for the development of efficient …
development of engineering technologies has paved the way for the development of efficient …
Cardiovascular disease detection from cardiac arrhythmia ECG signals using artificial intelligence models with hyperparameters tuning methodologies
Cardiovascular disease (CVD) is connected with irregular cardiac electrical activity, which
can be seen in ECG alterations. Due to its convenience and non-invasive aspect, the ECG is …
can be seen in ECG alterations. Due to its convenience and non-invasive aspect, the ECG is …
A new monitoring method for the blocking time of the taphole of blast furnace using molten iron flow images
When to block the taphole is a concern in blast furnace ironmaking process. Currently, the
blocking time of the taphole mainly depends on expertise, causing poor reliability of the …
blocking time of the taphole mainly depends on expertise, causing poor reliability of the …
Cardiac arrhythmias detection framework based on higher-order spectral distribution with deep learning
In this article, a new framework for arrhythmia identification using higher-order spectral
distributions and deep learning approaches has been proposed. The input signal is first pre …
distributions and deep learning approaches has been proposed. The input signal is first pre …
[HTML][HTML] Prediction Model of Hydropower Generation and Its Economic Benefits Based on EEMD-ADAM-GRU Fusion Model
J Wang, Z Gao, Y Ma - Water, 2022 - mdpi.com
As an important function of hydraulic engineering, power generation has made a great
contribution to the growth of national economies worldwide. Therefore, it is of practical …
contribution to the growth of national economies worldwide. Therefore, it is of practical …
[HTML][HTML] Detection and classification of electrocardiography using hybrid deep learning models
IJ Selvam, M Madhavan, SK Kumarasamy - Hellenic Journal of Cardiology, 2024 - Elsevier
Abstract Objective Electrocardiography (ECGs) has been a vital tool for cardiovascular
disease (CVD) diagnosis, which visually depicts the heart's electrical activity. To enhance …
disease (CVD) diagnosis, which visually depicts the heart's electrical activity. To enhance …