Capsule networks can effectively model the spatial hierarchical relationships among features; however, the dynamic routing mechanism introduces a large number of parameters and high computational ...
Artificial intelligence (AI) models, frequently built using deep neural networks (DNNs), have become integral to many aspects of modern life. However, the vast amount of data they process is not ...
The classification performance of all-optical Convolutional Neural Networks (CNNs) is greatly influenced by components’ misalignment and translation of input images in the practical applications. In ...
HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
This project creates an ensemble of CNN models for the MINST, Fashion-MNIST, and CIFAR10 dataset. The predictions from the ensemble are evaluated by a CNN super-learner and a weight matrix optimized ...
With over 3500 mosquito species described, accurate species identification of the few implicated in disease transmission is critical to mosquito borne disease mitigation. Yet this task is hindered by ...
The memristor-based convolutional neural network (CNN) gives full play to the advantages of memristive devices, such as low power consumption, high integration density, and strong network recognition ...
1 Graduate Transportation Associate, Tennessee Department of Transportation, Nashville, Tennessee, USA. 2 University of Tennessee at Chattanooga, Chattanooga, Tennessee, USA. 3 Transportation Engineer ...
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