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281
Crossed Renal Ectopia without Fusion: An Uncommon Cause of Abdominal Mass
Published 2015-01-01“…Although the initial clinical suspicion was a tumoral lesion, abdominal ultrasound and magnetic resonance examination revealed crossed renal ectopia without fusion. The renal ectopy was incidentally diagnosed, as described in 20 to 30% of cases. …”
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282
Author Correction: Targeting chondrocytes for arresting bony fusion in ankylosing spondylitis
Published 2025-02-01Get full text
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283
The Fractional Kalman Filter-Based Asynchronous Multirate Sensor Information Fusion
Published 2018-01-01“…A fractional Kalman filter-based multirate sensor fusion algorithm is presented to fuse the asynchronous measurements of the multirate sensors. …”
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284
Multi-feature fusion classification method for communication specific emitter identification
Published 2021-02-01Subjects: Get full text
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285
Indoor BLE and MEMS based multi-floor fusion positioning algorithm
Published 2017-05-01Subjects: Get full text
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286
Operando phase mapping in multi-material laser powder bed fusion
Published 2024-12-01Subjects: Get full text
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287
Digital Image Progressive Fusion Method Based on Discrete Cosine Transform
Published 2023-01-01“…The current progressive fusion methods for digital images have poor denoising performance, which leads to a decrease in image quality after progressive fusion. …”
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288
A Data Fusion System for Simulation of Critical Scenarios and Decision-Making
Published 2019-11-01Get full text
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289
Speaker verification method based on cross-domain attentive feature fusion
Published 2023-08-01Subjects: Get full text
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290
Research on heterogeneous data fusion and arithmetic optimization in multi-sensor systems
Published 2024-12-01Subjects: Get full text
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291
Towards unbiased skin cancer classification using deep feature fusion
Published 2025-01-01Subjects: Get full text
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292
Webshell malicious traffic detection method based on multi-feature fusion
Published 2021-12-01Subjects: Get full text
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293
A data fusion based approach for damage detection in linear systems
Published 2014-07-01“…In particular, starting from classical indicators based on the change of the flexibility matrix and on the change of the modal strain energy, the proposed approaches consider two data fusion procedures both based on the Dempster-Shafer theory. …”
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294
Machine learning and Fuzzy logic fusion approach for osteoporosis risk prediction
Published 2025-06-01“…Thus fuzzy concept has been introduced leading to the development of a fusion of machine learning and fuzzy logic approach. …”
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295
Multiscale Adaptively Spatial Feature Fusion Network for Spacecraft Component Recognition
Published 2025-01-01Subjects: Get full text
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296
Site-selective dimethylation of flavonoids using fusion flavonoid O-methyltransferases
Published 2025-02-01Subjects: Get full text
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297
Insulator Semantic Segmentation in Aerial Images Based on Multiscale Feature Fusion
Published 2022-01-01“…Finally, the Attention Feature Fusion Module is introduced into the Decoder path to combine high-level features with low-level features better and reduce the gap between features of different levels. …”
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298
An Integrated Cumulative Transformation and Feature Fusion Approach for Bearing Degradation Prognostics
Published 2018-01-01“…Aimed at degradation prognostics of a rolling bearing, this paper proposed a novel cumulative transformation algorithm for data processing and a feature fusion technique for bearing degradation assessment. …”
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299
Application of bilateral fusion model based on CNN in hyperspectral image classification
Published 2020-11-01“…Aiming at the issues of decreasing spatial resolution and feature loss caused by pooling operation in depth CNN-based hyperspectral image classification algorithm,a bilateral fusion block network (DFBN)composed of bilateral fusion blocks was designed.The upper structure of bilateral fusion block was constituted by 1×1 convolution and hyperlink,which was used to transfer local spatial characteristics.The lower structure was constituted by pooling layer,convolutional layer,deconvolution layer and upsampling to enhance the characteristics of efficient discrimination.Experimental results on three benchmark hyperspectral image data sets illustrate that the model is superior to other similar classification models.…”
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300
An intelligent spam detection framework using fusion of spammer behavior and linguistic.
Published 2025-01-01“…The proposed spam detection framework SD-FSL-CLSTM used the fusion of spammer behavior features and linguistic features which automatically detect and classify the spam reviews. …”
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