… model integrates Convolutional Neural Network (CNN), Long Short-term Memory (LSTM),
and Artificial Neural Network (ANN) to incorporate … , including identifying hazardous locations, …

… camera technology, convolutional neural network (CNN) can … module, which integrates
three pretrained models, ResNet50, … as safe driving, which is dangerous for practical use. The …

… on only one risky behavior and neglected the other unsafe behaviors such as drowsiness and
… have ignored some risky behaviors such as driving with constant speed and risky steering. …

… Furthermore, operators' unsafe behaviour is the main reason … This study develops a hybrid
learning architecture to explore … states and behaviours according to the integration of the three …

… on convolutional neural networks is used to train the model, … an alternative solution to detect
the unsafe operation of failure of … a hybrid deep learning model that integrates a convolution …

… are widely used in image classification and object detection. … , we propose an integrated
recognition model that includes … this paper refer to unsafe human behavior and the presence or …

… fault-detection model was proposed in [12], which is based on the faster region convolutional
neural network (R-… To better integrate more high-quality upper and lower semantic feature …

… , we first build a deep convolutional neural network (CNN) for … elderly patients care, bad
habits detection, and identification. … integration model, integrating different LSTM learners into an …

… A convolutional recurrent neural network is employed in this … packets to detect harmful
network traffic behavior patterns. … A hybrid strategy integrating the linear correlation analysis …

… solely focused on detecting unsafe behaviour while eschewing the … learning techniques such
as artificial neural networks (ANN) … in our future work by integrating the object segmentation …