- Seismic Waves and Analysis
- Bacteriophages and microbial interactions
- Image Retrieval and Classification Techniques
- Marine and fisheries research
- Seismic Imaging and Inversion Techniques
- Structural Health Monitoring Techniques
- Advanced Statistical Methods and Models
- earthquake and tectonic studies
- Identification and Quantification in Food
- Maritime Navigation and Safety
- Fault Detection and Control Systems
- Text and Document Classification Technologies
- Advanced Image Processing Techniques
- Image and Signal Denoising Methods
- Brain Tumor Detection and Classification
- Military Defense Systems Analysis
Jimei University
2025
Central China Normal University
2024
Nanjing University of Information Science and Technology
2024
University of New Brunswick
1983-1987
Abstract The identification of fishing vessel operations holds significant importance in addressing industry issues, such as overfishing and illegal, unreported unregulated (IUUF). Many countries utilise data from monitoring systems (VMSs) or automatic (AISs) to monitor activities. These include trajectories, headings speeds, among others. We aimed analyse the behaviours three types gear used by vessels (trawl, purse seine gill net) identify employed vessels. Therefore, a 1D CNN-LSTM...
Undetected outliers may significantly influence the results and interpretation of high precision engineering surveys. The least-squares adjustment method smooths out effect makes their localization difficult. Low spatial redundancy, correlation among residuals, existence multiple compound problem This paper presents a strategy developed to overcome most these difficulties. Two cases are distinguished, based on whether variance factor σ0<2 is known or unknown. When known, rather than...
Alzheimer's Disease (AD) is a complex neurodegenerative disorder marked by memory loss, executive dysfunction, and personality changes. Early diagnosis challenging due to subtle symptoms varied presentations, often leading misdiagnosis with traditional unimodal diagnostic methods their limited scope. This study introduces an advanced multimodal classification model that integrates clinical, cognitive, neuroimaging, EEG data enhance accuracy. The incorporates feature tagger tabular coding...