Showing 1,561 - 1,580 results of 1,858 for search 'features detection problem', query time: 0.10s Refine Results
  1. 1561

    Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

    Published 2025-03-01
    “…However, the typical noise problems of physiological signals affect the results of EGM processing tools, and consequently the ablation outcome. …”
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    Article
  2. 1562

    A Novel Equivariant Self-Supervised Vector Network for Three-Dimensional Point Clouds by Kedi Shen, Jieyu Zhao, Min Xie

    Published 2025-03-01
    “…We demonstrate through experiments that our network can accurately detect the orientation and pose change of point clouds and visualize the latent features. …”
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    Article
  3. 1563

    Inhibitory circuit motifs in Drosophila larvae generate motor program diversity and variability. by Jacob Francis, Caius R Gibeily, William V Smith, Isabel S Petropoulos, Michael Anderson, William J Heitler, Astrid A Prinz, Stefan R Pulver

    Published 2025-04-01
    “…Here we examine this problem by exploring the role that inhibitory neuron motifs play in generating mixtures of motor programs in the segmentally organised Drosophila larval locomotor system. …”
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  4. 1564
  5. 1565

    Influence of the Level of Defective Insulation Resistance of Electrical Machine Windings on Parameters of no-Load Current by A. V. Isaev, Yu. V. Suhodolov, S. V. Sizikov, A. A. Lomtev, V. A. Lychkovsky

    Published 2024-12-01
    “…And this problem is especially relevant for equipment that is directly in its operating mode. …”
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    Article
  6. 1566

    CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

    Published 2024-01-01
    “…Fluctuations in exposure time and the influence of space weather will lead to inconsistent brightness of the same feature point at different times. To address this problem, we propose an unsupervised multiscale optical flow network based on Vision Transformer, named UTFlowNet. …”
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    Article
  7. 1567

    Monitoring ocular disease via optical nanostructures potentially applicable to corneal contact lens products by Bader AlQattan, Mohamed Elsherif, Fahad Alam, Haider Butt

    Published 2024-06-01
    “…Abstract Ocular diseases can cause vision problems or even blindness if they are not detected early. …”
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    Article
  8. 1568

    Research on Autonomous Positioning Method for Inspection Robot Based on Distributed 2D LiDARs by Feng Yun Huang, Jun Qiang Liu, De Hao Fang

    Published 2024-01-01
    “…To address the positioning problem during autonomous operation process under the automated vehicle inspection scenario for annual vehicle inspections. …”
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    Article
  9. 1569

    LIU-NET: lightweight Inception U-Net for efficient brain tumor segmentation from multimodal 3D MRI images by Gul e Sehar Shahid, Jameel Ahmad, Chaudary Atif Raza Warraich, Amel Ksibi, Shrooq Alsenan, Arfan Arshad, Rehan Raza, Zaffar Ahmed Shaikh

    Published 2025-03-01
    “…However, effectively handling complex tumor regions requires more comprehensive and advanced strategies to overcome challenges such as computational complexity, the gradient vanishing problem, and variations in size and visual impact. …”
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    Article
  10. 1570

    Proficiency in motor imagery is linked to the lateralization of focused ERD patterns and beta PDC by Irma Nayeli Angulo-Sherman, Umberto León-Domínguez, Antonio Martinez-Torteya, Gilberto Andrés Fragoso-González, Mayté Verónica Martínez-Pérez

    Published 2025-02-01
    “…Considering the problem that MI proficiency requires training and it is not always achieved, EEG desirable features should be investigated to propose indicators of successful MI training. …”
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    Article
  11. 1571

    Handling of Radical Prostatectomy Specimens: Total Embedding with Large-Format Histology by Rodolfo Montironi, Antonio Lopez Beltran, Roberta Mazzucchelli, Liang Cheng, Marina Scarpelli

    Published 2012-01-01
    “…Even though whole mounts of sections from RPS appear not to be superior to sections from standard blocks in detecting adverse pathological features, their use has the great advantage of displaying the architecture of the prostate and the identification and location of tumour nodules more clearly, with particular reference to the index tumour; further, it is easier to compare the pathological findings with those obtained from digital rectal examination (DRE), transrectal ultrasound (TRUS), and prostate biopsies. …”
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  12. 1572

    An Intelligent Weed Recognition Method Based on Optical Patrol Image by Guoliang YUE, Yanqiao LU, Hao CHANG, Cuiying SUN

    Published 2019-11-01
    “…In this paper, a method for intelligent recognition of weeds is proposed for power patrol inspection based on optical patrol images. Based on the feature of weeds in the optical images, and combined with the convolutional neural network method, the problem of weed recognition near the power equipment in optical patrol images is solved. …”
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    Article
  13. 1573

    Host-Parasite-Environment Interactions on the Infestation of Argulus africanus Thiele, 1900 on Nile tilapia in Lake Hawassa, Ethiopia by Endalkachew Daniel Achamo, Natarajan Pavanasam

    Published 2025-08-01
    “… Argulus is one of the economically important ectoparasite of Nile tilapia (Oreochromis niloticus L. 1758); however, it poses a serious problem both in culture and capture fisheries globally. …”
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  14. 1574

    THE MORPHOLOGY OF THE SIMPLE AND PROLIFERATIVE UTERINE FIBROIDS IN PREGNANCY by Z. D. Karimov, B. A. Magrupov, M. T. Husanhodzhaeva, V. U. Ubaydullaeva

    Published 2016-02-01
    “…The both variants of growth nodes were accompanied by clinically and morphological features of the malnutrition of the tumor. The recurrence of the proliferating uterine fibroids was detected in all the cases in the late periods.Conclusion. …”
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    Article
  15. 1575

    Predictive Model for Incipient Faults in Oil-Filled Transformers by Michael Osajeh, Linda Usiosefe, Efosa Igodan

    Published 2024-08-01
    “…Despite using DGA as a global tool for detecting faults, it is limited by the inability to accurately solve the problem associated with results variability due to the intrinsic nature of the IEC TC 10 database. …”
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    Article
  16. 1576

    Towards Explainable Graph Embeddings for Gait Assessment Using Per-Cluster Dimensional Weighting by Chris Lochhead, Robert B. Fisher

    Published 2025-06-01
    “…There is a “black box” problem with existing machine learning models, where healthcare professionals are expected to “trust” the model making diagnoses without understanding its underlying reasoning. …”
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    Article
  17. 1577

    Aircraft Sensor Fault Diagnosis Based on GraphSage and Attention Mechanism by Zhongzhi Li, Jinyi Ma, Rong Fan, Yunmei Zhao, Jianliang Ai, Yiqun Dong

    Published 2025-01-01
    “…Traditional deep learning-based fault diagnosis methods often face challenges, such as limited data representation and insufficient feature extraction. To address these problems, this paper proposes an enhanced GraphSage-based fault diagnosis method that incorporates attention mechanisms. …”
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    Article
  18. 1578

    A compression method of educational material for special disciplines of technical University by Konstantin P. Baslyk

    Published 2018-01-01
    “…A review of the works of other authors, in which the problem of compression of educational material has been investigated, is made in the article. …”
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    Article
  19. 1579

    An Ensemble Classification Method Based on a Stacking Strategy for Ship Type Classification with AIS Data by Lei Deng, Shichen Yang, Limin Jia, Danyang Geng

    Published 2025-04-01
    “…Traditional ship type classification methods with AIS data are often plagued by problems such as data imbalance, insufficient feature extraction, reliance on single-model approaches, or unscientific model combination methods, which reduce the accuracy of classification. …”
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    Article
  20. 1580

    Peculiarities of Involving a Specialist in the Preparation and Conduct of Interrogation at the Stage of Pre-Trial Investigation by O. V. Rodiuk

    Published 2025-07-01
    “…The article substantiates the importance of an interdisciplinary approach in pre-trial proceedings based on the interaction of forensic science, legal psychology, psychophysiology and other related sciences. The methodological problems and organisational features of involving specialists, as well as the criteria by which the expediency of their participation is determined, are considered. …”
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    Article