A novel driver emotion recognition system based on deep ensemble classification
Driver emotion classification is an important topic that can raise awareness of driving habits
because many drivers are overconfident and unaware of their bad driving habits. Drivers will …
because many drivers are overconfident and unaware of their bad driving habits. Drivers will …
Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles
Deep convolutional neural networks (CNNs) have shown tremendous success in the
detection of objects and vehicles in recent years. However, when using CNNs to identify real …
detection of objects and vehicles in recent years. However, when using CNNs to identify real …
The factors affecting aerobics athletes' performance using artificial intelligence neural networks with sports nutrition assistance
Z Duan, N Ge, Y Kong - Scientific Reports, 2024 - nature.com
This work aims to comprehensively explore the influencing factors of aerobics athletes'
performance by integrating sports nutrition assistance and artificial intelligence neural …
performance by integrating sports nutrition assistance and artificial intelligence neural …
A Study on Bandwidth Management and User Classification in Hotspot Scenarios
OFDMA-based networks allow for better spectral efficiency when mitigating Inter-Cell
Interference (ICI). However, cell-edge users still suffer from interference due to the reuse of …
Interference (ICI). However, cell-edge users still suffer from interference due to the reuse of …
Anticipating for Smart Healthcare System by Deep Ensemble Model Using Multi-Layer Perceptron in Early Human Facial Emotion Recognition
In the advancement of Artificial Intelligence, this study anticipates towards smart healthcare
systems by pioneering anticipation in humans (being a patient) emotions classification …
systems by pioneering anticipation in humans (being a patient) emotions classification …