BeAware: Convolutional neural network(CNN) based user behavior understanding through WiFi channel state informationUser behavior analysisWiFi channel state information (CSI)Fresnel zoneIn modern informatics soc
Recently, convolutional neural network (CNN)-based data reconstruction has shown especially successful performance when utilized for charged particle tracking with good precision in accelerator and calorimeter experiments6,7,8. Additionally, CNNs have effectively overcome the spatial resolution limitations of ...
Convolutional neural network (CNN)–based AI technology has improved application performance in judging the lesions' nature on laryngoscopic images [5], [6], [7], [8], [9], [10], [11]. However, AI is yet to achieve automatic identification and classification of anatomical sites on ...
Voice disorders are very common in the global population. Many researchers have conducted research on the identification and classification of voice disorders based on machine learning. As a data-driven algorithm, machine learning requires a large number
@article{zhang2020ifcnn, title={IFCNN: A general image fusion framework based on convolutional neural network}, author={Zhang, Yu and Liu, Yu and Sun, Peng and Yan, Han and Zhao, Xiaolin and Zhang, Li}, journal={Information Fusion}, volume={54}, pages={99--118}, year={2020}, pub...
[Ranzato07]M.A. Ranzato, C. Poultney, S. Chopra and Y. LeCun, in J. Platt et al., Efficient Learning of Sparse Representations with an Energy-Based Model, Advances in Neural Information Processing Systems (NIPS 2006), MIT Press, 2007. ...
深度学习方法:代表方法有R-CNN (Region-based Convolutional Neural Networks)和 YOLO。R-CNN是基于区域的卷积神经网络,结合Region Proposal和CNN,YOLO将图片分为S*S分区,每个分区检测中心点位于该分区的目标。其他方法包括SPP-net、Fast R-CNN、Faster R-CNN、R-FCN、SSD等 ...
White, C., Ismail, H.D., Saigo, H.et al.CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.BMC Bioinformatics18(Suppl 16), 577 (2017). https://doi.org/10.1186/s12859-017-1972-6 ...
Learn more about convolutional neural networks—what they are, why they matter, and how you can design, train, and deploy CNNs with MATLAB.
Like multi-layer perceptrons andrecurrent neural networks, convolutional neural networks can also be trained using gradient-based optimization techniques. Stochastic, batch, or mini-batch gradient descent algorithms can be used to optimize the parameters of the neural network. Once the CNN has been tra...