Auflistung Nach Schlagwort "Transfer learning"
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Detection of malignant melanomas in dermoscopic images using convolutional neural network with transfer learning
(2017)In this work, we report the use of convolutional neural networks for the detection of malignant melanomas against nevus skin lesions in a dataset of dermoscopic images of the same magnification. The technique of transfer ... -
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine
(2020)Focusing on prostate cancer patients, this research paper addresses the problem of bone metastasis diagnosis, investigating the capabilities of convolutional neural networks (CNN) and transfer learning. Considering the ... -
Edge AI for Industry 4.0: An Internet of Things Approach
(2020)In this paper, we study the edge artificial intelligence (AI) techniques for industry 4.0. More specifically, we assume fog computing takes place on the edge of Industrial Internet of Things (IIoT) networks. We provide ... -
Edge Artificial Intelligence for Industrial Internet of Things Applications: An Industrial Edge Intelligence Solution
(2021)In this article, we study edge artificial intelligence (AI) for industrial Internet of Things (IIoT) applications. We discuss edge AI technology, which is considered the combination of AI with edge computing, and provide ... -
Improving the performance of convolutional neural network for skin image classification using the response of image analysis filters
(2019)In this work, we focus in the analysis of dermoscopy images using convolutional neural networks (CNNs). More specifically, we investigate the value of augmenting CNN inputs with the response of mid-level computer vision ... -
Pose recognition using convolutional neural networks on omni-directional images
(2018)Convolutional neural networks (CNNs) are used frequently in several computer vision applications. In this work, we present a methodology for pose classification of binary human silhouettes using CNNs, enhanced with image ... -
Scouting of Whiteflies in Tomato Greenhouse Environment Using Deep Learning
(2022)This study shows the possibilities of how to replace tedious human labor—scouting of yellow sticky traps (YST) for whiteflies—using artificial cognitive vision, specifically the deep convolutional network (CNN), as a part ...