“…Two-stage detector Faster R-CNN is adopted as the structure of a network. Feature Pyramid Network (FPN) is integrated into the residual neural network of a dilated bottleneck so that the deep features are expanded to preserve the deep feature and position information of the object. …”
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“…Here we first adopt a CNN visualization strategy to discover the inherent image features involved in the CNN’s decision-making process. …”
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“…In this study, we propose an ensemble algorithm that can accurately determine mental stress states using a modified convolutional neural network (CNN)- long short-term memory (LSTM) architecture. …”
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“…In order to verify the effectiveness of the proposed deep convolutional neural network model, different fault diagnosis methods including support vector machine (SVM), artificial neural network (ANN), conventional neural network (CNN) using the LeNet-5 method, and long-term memory network (LTMN) are investigated and compared with DCNN method. …”
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“…However, convolutional neural networks (CNN) still deliver state-of-the-art results in this area. …”
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“…The results indicate that the hybrid CNN and LSTM networks can be employed to achieve better performance for pre-miRNA classification. …”
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“…Convolutional Neural Network (CNN) model is one of the most important classical structures in deep learning models, and its performance has been gradually improved in deep learning tasks in recent years. …”
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“…Our results confirm the importance of our proposed Attention-Gated-CNN-BGRU approach for training handwriting text recognition and indicate that it can lead to statistically significant improvements (p-value < 0.05) in the sensitivity (recall) over the tests dataset. …”
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“…Moreover, we propose two Ensemble CNN approaches: Mean-Ensemble-CNN and NN-Ensemble-CNN. …”
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“…To this purpose, we develop two different CNN-based camera model identification methods, working in a novel multi-modal scenario. …”
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“…On the one hand, BERTtoCNN provides an efficient distillation process to train a novel ‘student’ CNN structure from a much larger ‘teacher’ language model BERT. …”
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“…As a baseline for future works, we propose a model based on the Mask R-CNN architecture that effectively performs instance segmentation for these seven diseases. …”
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“…The gathered data are used to train a CNN-LSTM model that is capable of predicting the future values of the capacitance and the equivalent series resistance (ESR) of the electrolytic capacitor. …”
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“…Base on the inference, we come up with the Shallow and Wide Attention convolutional Mechanism (SWAM) to improve the CNN-based models’ ability to learn local and low-level features for each label. …”
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“…The protein encoded by The calponin 3 (CNN3) has been proven to be a member of the calponin family. …”
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“…Among the proposed DL models, the CNN-LSTM architecture has had the best performance. …”
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