Adaptive multi-source data fusion vessel trajectory prediction model for intelligent maritime traffic

Y **ao, X Li, J Yin, W Liang, Y Hu - Knowledge-Based Systems, 2023 - Elsevier
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 …

Sudden cardiac death prediction based on the complete ensemble empirical mode decomposition method and a machine learning strategy by using ECG signals

MA Centeno-Bautista, AV Perez-Sanchez… - Measurement, 2024 - Elsevier
Cardiovascular diseases are a significant global health problem, often culminating in
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 …

Detection of Alcoholic EEG signal using LASSO regression with metaheuristics algorithms based LSTM and enhanced artificial neural network classification …

GS Manivannan, K Mani, H Rajaguru, SV Talawar - Scientific Reports, 2024 - nature.com
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 …

IR-based device to acquire real-time online heart ECG signals of fish (Cyprinus carpio) to evaluate the water quality

D Wei, L Wang, RK Poopal, Z Ren - Environmental Pollution, 2023 - Elsevier
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 …

Cardiovascular disease detection from cardiac arrhythmia ECG signals using artificial intelligence models with hyperparameters tuning methodologies

GS Manivannan, H Rajaguru, S Rajanna, SV Talawar - Heliyon, 2024 - cell.com
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 …

A new monitoring method for the blocking time of the taphole of blast furnace using molten iron flow images

Z Jiang, J Dong, D Pan, T Wang, W Gui - Measurement, 2022 - Elsevier
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 …

Cardiac arrhythmias detection framework based on higher-order spectral distribution with deep learning

S Karthikeyani, S Sasipriya, M Ramkumar - Biomedical Signal Processing …, 2024 - Elsevier
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 …

[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 …

[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 …