Fast unsupervised deep fusion network for change detection of multitemporal SAR images
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.077
Abstract: Abstract In this paper, a fast unsupervised deep fusion framework for change detection of multitemporal synthetic aperture radar (SAR) images is presented. It mainly aim at generating a difference image (DI) in the feature learning… read more here.
Keywords: deep fusion; fast unsupervised; network; sar images ... See more keywords
An improved residual network using deep fusion for identifying RNA 5-methylcytosine sites
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac532
Abstract: MOTIVATION 5-Methylcytosine (m5C) is a crucial post-transcriptional modification. With the development of technology, it is widely found in various RNAs. Numerous studies have indicated that m5C plays an essential role in various activities of organisms,… read more here.
Keywords: residual network; deep fusion; methylcytosine; model ... See more keywords
Lung Tumor Localization and Visualization in Chest X-Ray Images Using Deep Fusion Network and Class Activation Mapping
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DOI: 10.1109/access.2022.3224486
Abstract: Chest X-ray is a radiological clinical assessment tool that has been commonly used to detect different types of lung diseases, such as lung tumors. In this paper, we use the Segmentation-based Deep Fusion Networks and… read more here.
Keywords: deep fusion; localization; ray; ray images ... See more keywords
CrowdHMT: Crowd Intelligence With the Deep Fusion of Human, Machine, and IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3194726
Abstract: Mobile crowd sensing and computing (MCSC) has become a hot research area in recent years. This article presents our vision of the next generation of MCSC, crowd intelligence with the deep fusion of human, machine,… read more here.
Keywords: human machine; crowd intelligence; deep fusion;
Deep Fusion: Crafting Transferable Adversarial Examples and Improving Robustness of Industrial Artificial Intelligence of Things
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3168874
Abstract: Industry 5.0 is aimed at merging the cognitive computing capabilities of deep neural networks (DNNs) with human resourcefulness in collaborative operations. DNNs have been widely used in Industrial Artificial Intelligence of Things (Industrial AIoT) systems.… read more here.
Keywords: deep fusion; fusion; industrial artificial; adversarial examples ... See more keywords
Deep Fusion Clustering Network With Reliable Structure Preservation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3220914
Abstract: Deep clustering, which can elegantly exploit data representation to seek a partition of the samples, has attracted intensive attention. Recently, combining auto-encoder (AE) with graph neural networks (GNNs) has accomplished excellent performance by introducing structural… read more here.
Keywords: information; network; deep fusion; structure ... See more keywords
Deep Fusion of Intelligent Meridian Sensing Technology and Huoluo Xiaoling Pills in the Treatment of Knee Osteoarthritis
Sign Up to like & getrecommendations! Published in 2022 at "BioMed Research International"
DOI: 10.1155/2022/8043674
Abstract: Based on the deep fusion of intelligent meridian sensing technology and Huoluo Xiaoling Pill (HXP) in the treatment of knee osteoarthritis (KOA), firstly, the effective components and targets of Salvia miltiorrhiza, Angelica sinensis, frankincense, and… read more here.
Keywords: deep fusion; meridian sensing; sensing technology; intelligent meridian ... See more keywords
Deep fusion of gray level co-occurrence matrices for lung nodule classification
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DOI: 10.1371/journal.pone.0274516
Abstract: Lung cancer is a serious threat to human health, with millions dying because of its late diagnosis. The computerized tomography (CT) scan of the chest is an efficient method for early detection and classification of… read more here.
Keywords: deep fusion; fusion; classification; lung ... See more keywords
A Two-Stage Anomaly Detection Method Based on User Preference Features and the Deep Fusion Model
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DOI: 10.3390/app13106217
Abstract: Rapid and accurate anomaly traffic detection is one of the most important research problems in cyberspace situational awareness. In order to improve the accuracy and efficiency of the detection, a two-stage anomaly detection method based… read more here.
Keywords: deep fusion; detection; user preference; method ... See more keywords