A5038487488- Time Series Analysis and Forecasting
- Environmental Changes in China
- Data Visualization and Analytics
- Ecology and Conservation Studies
- Advanced Text Analysis Techniques
- Reinforcement Learning in Robotics
- Land Use and Ecosystem Services
- Regional Development and Environment
- Anomaly Detection Techniques and Applications
- Prosthetics and Rehabilitation Robotics
- Forest, Soil, and Plant Ecology in China
- Remote Sensing and LiDAR Applications
- Remote Sensing in Agriculture
- Wildlife-Road Interactions and Conservation
- Robotic Locomotion and Control
- Remote Sensing and Land Use
- Smart Agriculture and AI
- Forest Management and Policy
University of Louisville
2023-2024
University of Louisville Hospital
2024
Fujian Agriculture and Forestry University
2018-2019
Plant classification is a science that used to assess the quality of forest resources and has been studied extensively. In this paper, we proposed novel convolutional neural network known as Fourier Dense Network (FDN) which data-driven method classify optical aerial images plants. To efficiently plants, FDN learns extracts features plants in time frequency domains from captured using an unmanned vehicle (UAV). FDN, designed fast dense block (FF-dense block) describes by magnitude phase...
<title>Abstract</title> Multimodal time series data are pervasive across various applications, providing detailed insights into the evolution of dynamic and complex systems with high-dimensional, high-resolution information. Analyzing statistical characteristics, detecting changes, uncovering unexpected behaviors over from these longitudinal can yield valuable insights. Traditional anomaly detection methods that rely solely on automated algorithms often overlook context-specific nature...
Site selection is an important issue in designing the nature reserve that has been studied over years. However, a well-balanced relationship between preservation of biodiversity and site still challenging. Unlike existing methods, we consider three critical components, spatial continuity, compactness ecological information to address problem reserve. In this paper, propose new mathematical model set covering called Space-ecology Set Covering Problem (SeSCP) for network. First, generate by...