A5081745945- Network Security and Intrusion Detection
- Video Surveillance and Tracking Methods
- Energy Load and Power Forecasting
- Hand Gesture Recognition Systems
- Big Data and Business Intelligence
- Face and Expression Recognition
- Face recognition and analysis
- Fluid Dynamics Simulations and Interactions
- Color perception and design
- Big Data Technologies and Applications
- Emotion and Mood Recognition
- Power Quality and Harmonics
- Robotic Path Planning Algorithms
- Control and Dynamics of Mobile Robots
Nanjing Institute of Technology
2023-2024
East China Normal University
2024
Chalmers University of Technology
2021
Due to obstructions in the natural environment, practical emotion recognition applications often experience reduced accuracy. In order address this technological challenge, paper proposes an approach embedding adaptive dual-channel attention, specifically designed for recognizing facial expressions obscured faces. This method employs attention mechanism focus on uncovered feature areas, enhancing algorithm's capability concentrate features. Additionally, it utilizes a dual-stream residual...
Abstract To effectively address the emotional well-being of elderly individuals living alone using home care robotic systems, it is essential to possess ability precisely identify facial expressions within complex domestic settings. Facial expression recognition (FER) in environments faces significant challenges due factors such as occlusions. this challenge, paper proposes a method called Dual-Branch Attention and Multi-Scale Feature Fusion Network (DAMFF-Net). First, we perform feature...
Abstract This paper aims to address the limitations of traditional K-mean clustering algorithm, which does not account for influence both extremely poor and excellent physical fitness classmates on abnormality detection issue high false rate. It bases its approach three methods: clustering, distance, density. These methods are used determine test data outlying index (PFT-OI) identify abnormal data. We this algorithm conduct research health youth basketball players from a big perspective. The...
In addressing the path planning challenges encountered by Automated Guided Vehicles (AGVs) within smart warehousing transportation and storage, as well inherent issues of traditional A* algorithm, we propose an optimized enhanced algorithm for optimization. Building upon conventional selects appropriate heuristic functions weighting coefficients, integrating Bezier curves to achieve final improved algorithm. The function is used optimize problem long paths. Combined with curve, tortuous that...
This paper presents a visualisation method, based on deep learning, to assist power engineers in the analysis of large amounts power-quality data. The method assists extracting and understanding daily, weekly seasonal variations harmonic voltage. Measurements from 10 kV 0.4 Swedish distribution network are applied learning obtain daily patterns their over week year. results presented graphs that allow interpretation without having understand mathematical details method. inferences given by...