Showing 2,501 - 2,520 results of 5,905 for search 'Enfusion~', query time: 2.74s Refine Results
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    An IoT-enhanced automatic music composition system integrating audio-visual learning with transformer and SketchVAE by Yifei Zhang

    Published 2025-02-01
    “…This study not only provides an effective method for automatic music generation, but also provides important references for future studies on multimodal data fusion and high-quality music generation.…”
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    Article
  5. 2505

    Molecular Profiling: A Case of ZBTB16-RARA Acute Promyelocytic Leukemia by Stephen E. Langabeer, Lisa Preston, Johanna Kelly, Matt Goodyer, Ezzat Elhassadi, Amjad Hayat

    Published 2017-01-01
    “…Several variant RARA translocations have been reported in acute promyelocytic leukemia (APL) of which the t(11;17)(q23;q21), which results in a ZBTB16-RARA fusion, is the most widely identified and is largely resistant to therapy with all-trans retinoic acid (ATRA). …”
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  6. 2506

    The Multidisciplinary Management of Fused Maxillary Lateral Incisor with a Supernumerary Tooth in Cleft Lip Adolescence by Ahmet Yagci, Kenan Cantekin, Suleyman Kutalmis Buyuk, Kansad Pala

    Published 2014-01-01
    “…Fusion, an uncommon anomaly of the hard dental tissues, is potentially the cause of clinical problems related to esthetics, tooth spacing, and other periodontal complications. …”
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    Article
  7. 2507

    Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

    Published 2024-01-01
    “…The weighted sum feature fusion technique is used to generate unique LC features. …”
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    Article
  8. 2508
  9. 2509

    Robust multiview subspace clustering method based on multi-kernel low-redundancy representation learning by Ao LI, Zhuo WANG, Xiaoyang YU, Deyun CHEN, Yingtao ZHANG, Guanglu SUN

    Published 2021-11-01
    “…Considering the impact of high dimensional data redundancy and noise interference on multiview subspace clustering, a robust multiview subspace clustering method based on multi-kernel low redundancy representation learning was proposed.Firstly, by analyzing and revealing the redundancy and noise influence characteristics of data in kernel space, a multi-kernel learning method was proposed to obtain a robust low-redundancy representation of local view-specific data, which was utilized to replace the original data to implement subspace learning.Secondly, a tensor analysis model was introduced to carry out multiview fusion, so as to learn the potential low-rank tensor structure among different subspace representations from global perspective.It would capture the high-order correlation among views while maintaining their unique information.In this method, robust low-redundancy representation learning, view-specific subspace learning and fusion potential subspace structure learning were unified into the same objective function, so that they could promote each other during iterations.A large number of experimental results demonstrate that the proposed method is superior to the existing mainstream multiview clustering methods on several objective evaluation indicators.…”
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  10. 2510

    Real‐time recognition of human motions using multidimensional features in ultrawideband biological radar by Jinxiao Zhong, Liangnian Jin, Qiang Mao

    Published 2022-01-01
    “…A single feature‐based representation is not enough to capture the variations and attributes of individuals (range, velocity, etc.); thus, the fusion of multiple features is significant for recognising motions. …”
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  11. 2511

    Comprehensive Analysis of Fault Diagnosis Methods for Aluminum Electrolytic Control System by Jie-jia Li, Xiao-yan Han, Peng Zhou, Xiao-yu Sun, Na Chang

    Published 2014-01-01
    “…Process fault subsystem includes the subneural network layer and decision fusion layer. Decision fusion neural network verifies the diagnosis result of the subneural network by the information transferring over the network and gives the decision of fault synthetically. …”
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  12. 2512

    AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

    Published 2021-10-01
    “…In multimodal biometrics system, the utilization of different algorithms for feature extraction, fusion at feature level and classification often to complexity and make fused biometrics features larger in dimensions. …”
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    Article
  13. 2513

    Acute Spinal Cord Contusion in a Patient with Multiple Upper Cervical Fractures, Parkinson’s Disease, and Torticollis: Surgical Management by Sarah Merrill, Maziyar A. Kalani, Naresh P. Patel, Mark K. Lyons, Matthew T. Neal

    Published 2020-01-01
    “…The patient was successfully treated with an upper cervical decompression and occipital-cervical (OC) fusion surgery. Strategies for torticollis reduction and successful surgical outcome are discussed. …”
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  14. 2514

    Operative Techniques for Cervical Radiculopathy and Myelopathy by R. G. Kavanagh, J. S. Butler, J. M. O'Byrne, A. R. Poynton

    Published 2012-01-01
    “…The use of autograft to achieve cervical fusion is still the gold standard with allograft showing similar results; however fusion techniques are constantly evolving with novel synthetic bone graft substitutes now widely available.…”
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  15. 2515

    Discovery of Nanosota-EB1 and -EB2 as Novel Nanobody Inhibitors Against Ebola Virus Infection. by Fan Bu, Gang Ye, Kimberly Morsheimer, Alise Mendoza, Hailey Turner-Hubbard, Morgan Herbst, Benjamin Spiller, Brian E Wadzinski, Brett Eaton, Manu Anantpadma, Ge Yang, Bin Liu, Robert Davey, Fang Li

    Published 2024-12-01
    “…Cryo-EM and biochemical data revealed that Nanosota-EB1 binds to the glycan cap of GP1, preventing its protease cleavage, while Nanosota-EB2 binds to critical membrane-fusion elements in GP2, stabilizing it in the pre-fusion state. …”
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  16. 2516

    STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

    Published 2023-01-01
    “…Firstly, the correlation of state parameters was analyzed by Pearson correlation coefficient, and then the one-dimensional fusion parameters were weighted by weight coefficient. …”
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  17. 2517

    Degeneracy in Magneto-Active Dense Plasma by Haifa A. Al-Yousef, Sh. M. Khalil

    Published 2020-01-01
    “…Besides, degenerate plasmas present very interesting features for fusion burning waves’ ignition and propagation. In this paper, we investigated the effects of static magnetic field on energy states and degeneracy of electrons in dense plasma. …”
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  18. 2518

    Generating 3D Virtual Human Animation Based on Facial Expression and Human Posture Captured by Dual Cameras by Junming Wang, Xiaojie Chai, Guo Han, Jixia Wang

    Published 2022-01-01
    “…At the same time, the 3D pose fusion is realized by using the pose measurement algorithm for human motion capture. …”
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  19. 2519

    Automatic X-ray teeth segmentation with grouped attention by Wenjin Zhong, XiaoXiao Ren, HanWen Zhang

    Published 2025-01-01
    “…To address these issues, we propose a novel model, named Grouped Attention and Cross-Layer Fusion Network (GCNet). GCNet effectively handles numerous noise points and significant individual differences in the data, achieving stable and precise segmentation on small-scale datasets. …”
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  20. 2520

    DCFE-YOLO: A novel fabric defect detection method. by Lei Zhou, Bingya Ma, Yanyan Dong, Zhewen Yin, Fan Lu

    Published 2025-01-01
    “…Finally, the feature fusion network integrates Partial Convolution and Efficient Multi-scale Attention, optimizing the fusion of information across different feature levels and spatial scales, which enhances the richness and accuracy of feature representations while reducing computational complexity. …”
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