Minming Gu
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View article: YOLO-FGA: A Lightweight yet High-Precision Network for Fine-Grained Anomaly Detection in Computer Chassis Assembly
YOLO-FGA: A Lightweight yet High-Precision Network for Fine-Grained Anomaly Detection in Computer Chassis Assembly Open
The intelligent detection of computer chassis assembly states is a crucial for ensuring quality control and improving production efficiency in large-scale computer manufacturing processes. To overcome the limitations of traditional methods…
View article: A few-shot learning-based dual-input neural network for complex spectrogram recognition system with millimeter-wave radar
A few-shot learning-based dual-input neural network for complex spectrogram recognition system with millimeter-wave radar Open
Graph data-driven machine learning methods for human activity recognition (HAR) have achieved success recently using sufficient data. In the realm of everyday life, we encounter a notable challenge: the scarcity of labeled radar samples. T…
View article: MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network
MCT-CNN-LSTM: A Driver Behavior Wireless Perception Method Based on an Improved Multi-Scale Domain-Adversarial Neural Network Open
Driving behavior recognition based on Frequency-Modulated Continuous-Wave (FMCW) radar systems has become a widely adopted paradigm. Numerous methods have been developed to accurately identify driving behaviors. Recently, deep learning has…
View article: Adaptive Sliding Window–Dynamic Time Warping-Based Fluctuation Series Prediction for the Capacity of Lithium-Ion Batteries
Adaptive Sliding Window–Dynamic Time Warping-Based Fluctuation Series Prediction for the Capacity of Lithium-Ion Batteries Open
Accurately predicting the capacity of lithium-ion batteries is crucial for improving battery reliability and preventing potential incidents. Current prediction models for predicting lithium-ion battery capacity fluctuations encounter chall…
View article: RFDANet: an FMCW and TOF radar fusion approach for driver activity recognition using multi-level attention based CNN and LSTM network
RFDANet: an FMCW and TOF radar fusion approach for driver activity recognition using multi-level attention based CNN and LSTM network Open
Dangerous driving behavior is a major contributing factor to road traffic accidents. Identifying and intervening in drivers’ unsafe driving behaviors is thus crucial for preventing accidents and ensuring road safety. However, many of the e…
View article: A spectrum estimation approach for accurate heartbeat detection using Doppler radar based on combination of FTPR and TWV
A spectrum estimation approach for accurate heartbeat detection using Doppler radar based on combination of FTPR and TWV Open
Non-contact heartbeat detection using Doppler radar is extremely valuable for remotely monitoring and medical diagnosis on special occasions. Nevertheless, fast and accurate heart rate (HR) detection endures several challenges due to influ…
View article: Study on optimum temperature value setting for the heat-setting process based on PSO
Study on optimum temperature value setting for the heat-setting process based on PSO Open
Based on a mechanism model of the temperature of fabric, this paper discussed the optimum temperature value setting in a heat-setting process using Particle Swarm Optimization (PSO) algorithm. First, a mathematical modeling method was deve…