Results 41 to 50 of about 118,357 (248)
An Improved ResNet-1d with Channel Attention for Tool Wear Monitor in Smart Manufacturing
Tool wear is a key factor in the machining process, which affects the tool life and quality of the machined work piece. Therefore, it is crucial to monitor and diagnose the tool condition.
Liang Dong +5 more
semanticscholar +1 more source
FPN-SE-ResNet Model for Accurate Diagnosis of Kidney Tumors Using CT Images
Kidney tumors are a significant health concern. Early detection and accurate segmentation of kidney tumors are crucial for timely and effective treatment, which can improve patient outcomes.
Abubaker Abdelrahman, Serestina Viriri
semanticscholar +1 more source
Resnet in Resnet: Generalizing Residual Architectures
Residual networks (ResNets) have recently achieved state-of-the-art on challenging computer vision tasks. We introduce Resnet in Resnet (RiR): a deep dual-stream architecture that generalizes ResNets and standard CNNs and is easily implemented with no computational overhead.
Targ, Sasha +2 more
openaire +2 more sources
SynA-ResNet: Spike-driven ResNet Achieved through OR Residual Connection
Spiking Neural Networks (SNNs) have garnered substantial attention in brain-like computing for their biological fidelity and the capacity to execute energy-efficient spike-driven operations. As the demand for heightened performance in SNNs surges, the trend towards training deeper networks becomes imperative, while residual learning stands as a pivotal
Shan, Yimeng +5 more
openaire +2 more sources
S-ResNet: An improved ResNet neural model capable of the identification of small insects
IntroductionPrecise identification of crop insects is a crucial aspect of intelligent plant protection. Recently, with the development of deep learning methods, the efficiency of insect recognition has been significantly improved. However, the recognition rate of existing models for small insect targets is still insufficient for insect early warning or
Pei Wang +10 more
openaire +3 more sources
ResNet Based on Multi-Feature Attention Mechanism for Sound Classification in Noisy Environments
Environmental noise affects people’s lives and poses challenges for urban sound classification. Traditional algorithms such as Mel frequency cepstral coefficients (MFCCs) struggle due to audio signal complexity.
Chao Yang +3 more
semanticscholar +1 more source
HeunNet: Extending ResNet using Heun’s Method
Irish Signals & Systems Conference ...
Maleki, Mehrdad +2 more
openaire +2 more sources
pFISTA-SENSE-ResNet for parallel MRI reconstruction [PDF]
Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time. Although imaging can be accelerated by sparse sampling and parallel imaging, achieving promising reconstruction images with a fast reconstruction speed remains a challenge.
Tieyuan Lu +10 more
openaire +3 more sources
A pruning-then-quantization model compression framework for facial emotion recognition
Facial emotion recognition achieves great success with the help of large neural models but also fails to be applied in practical situations due to the large model size of neural methods.
Han Sun +5 more
doaj +1 more source
Benchmark Analysis of Representative Deep Neural Network Architectures
This work presents an in-depth analysis of the majority of the deep neural networks (DNNs) proposed in the state of the art for image recognition. For each DNN multiple performance indices are observed, such as recognition accuracy, model complexity ...
Bianco, Simone +3 more
core +1 more source

