Showing 1,601 - 1,620 results of 1,858 for search 'features detection problem', query time: 0.14s Refine Results
  1. 1601

    Mask-Guided Spatial–Spectral MLP Network for High-Resolution Hyperspectral Image Reconstruction by Xian-Hua Han, Jian Wang, Yen-Wei Chen

    Published 2024-11-01
    “…To enhance the information flow between MLP blocks, we introduce a multi-level fusion module and apply reconstruction heads to different MLP features for deeper supervision. Additionally, we combine the projection loss from compressive measurements with reconstruction loss to create a dual-domain loss, ensuring consistent optical detection during HS reconstruction. …”
    Get full text
    Article
  2. 1602

    Hardware and program system for determination of authenticity of medicines by nuclear quadrupole resonance method by R. R. Khusnutdinov

    Published 2022-06-01
    “…Study the possibility of using a laboratory nuclear magnetic resonance console as a device for detecting counterfeit medicines. The problem of detecting counterfeit and counterfeit medicines is now very acute. …”
    Get full text
    Article
  3. 1603

    EBV mononucleosis in children in modern conditions by J. K. Hakizimana, V. N. Timchenko, M. A. Shakmaeva, T. A. Kaplina, M. D. Subbotina, S. L. Bannova, A. V. Fedorova, V. F. Sukhovetskaya, E. B. Pavlova, N. V. Pavlova

    Published 2020-06-01
    “…EBV-mononucleosis is a widespread infectious disease, and also it is an urgent problem of the whole world. The purpose of the research was to study the clinical and laboratory features of EBV-mononucleosis in hospitalized children of different ages in modern conditions. …”
    Get full text
    Article
  4. 1604

    CT Appearance of Hepatocellular Carcinoma after Locoregional Treatments: A Comprehensive Review by Daniel Marin, Salvatore Cappabianca, Nicola Serra, Assunta Sica, Francesco Lassandro, Roberto D’Angelo, Michelearcangelo La Porta, Francesco Fiore, Francesco Somma

    Published 2015-01-01
    “…Hepatocellular carcinoma (HCC) is a major health problem worldwide, affecting more than 600,000 new patients per year. …”
    Get full text
    Article
  5. 1605

    A method based on clustering fast search for bearing performance degradation assessment by ShengWen Zhou, Li Zhang, Xiaoming Yang, Fan Xu, BaiGang Du, RuiPing Luo, Wenhui Zeng

    Published 2025-05-01
    “…Abstract To address the problem of relying on manual experience to determine the number of cluster centers, this paper introduces an approach for evaluating the performance degradation of rolling bearings using the clustering by fast search (CFS) algorithm. …”
    Get full text
    Article
  6. 1606

    Recent Developments in the Use of Covalent Organic Frameworks for Photocatalytic Water Decontamination by Víctor Cepa-López, Miguel Sánchez-Fuente, Alicia Moya, Rubén Mas-Ballesté

    Published 2025-05-01
    “…Water pollution by persistent organic and inorganic contaminants constitutes a significant problem for ecosystems and public health. Organic substances such as dyes, pharmaceutical residues, pesticides, and phenolic compounds are increasingly detected in water due to industrial and agricultural activities. …”
    Get full text
    Article
  7. 1607

    A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

    Published 2025-01-01
    “…Results demonstrate that our method efficiently solves the DSSE problem—which cannot be solved using conventional methods—and detects and mitigates bad data, further enhancing the reliability of the state estimation results.…”
    Get full text
    Article
  8. 1608

    The prospect of using liquid biopsy in diagnosis and treatment strategy in patients with carcinomas of unknown primary by I. B. Kononenko, M. G. Filippova, A. V. Snegovoy, S. L. Gutorov

    Published 2021-01-01
    “…In order to assess the current state of the problem, a search and analysis of relevant data of the scientific databases PubMed, Medline, RISC was carried out.Results. …”
    Get full text
    Article
  9. 1609

    A Development Model for Identifying the Uncertainty Sources and Their Impacts on Bridge Construction Projects by Kayvan Mohammadi Atashgah, Rouzbeh Ghousi, Armin Monir Abbasi, Abbasali Tayefi Nasrabadi

    Published 2023-03-01
    “…The analytic hierarchy process (AHP), on the other hand, is a computer technique that solves a complicated problem by breaking it down into numerous basic problems. …”
    Get full text
    Article
  10. 1610

    Mucocutaneous lesions in renal transplant recipients in Erbil City by Intiha Mohammed Redha, Israa Mohammedamin Qader

    Published 2022-06-01
    “…A thorough examination was performed by a dermatologist to detect and describe the lesions, then a diagnosis was based on the clinical and morphological features. …”
    Get full text
    Article
  11. 1611

    Combating modern methods of legalisation (laundering) of the funds obtained by criminal means with the use of cryptocurrency by V. Р. Yatsenko, V. S. Bushyn

    Published 2023-12-01
    “…The problems of combating corruption have not lost their relevance over the years. …”
    Get full text
    Article
  12. 1612

    One-Bit Spectrum Sensing Peculiarities by M. V. Buhaiov

    Published 2024-09-01
    “…The problem of using such ADC is the deterioration of the signal-to-noise ratio (SNR) and the occurrence of spurious spectral components at its’ medium and high values. …”
    Get full text
    Article
  13. 1613

    Algorithm for the analysis of kinematic characteristics of running by N. S. Davydova, V. Е. Vasiuk, N. A. Paramonova, М. М. Mezhennaya, D. I. Guseinov

    Published 2020-12-01
    “…Biomechanics of motor actions solves the problems of analysis of external motor events - kinematic and dynamic movement parameters. …”
    Get full text
    Article
  14. 1614
  15. 1615

    PHONETIC REHABILITATION FOR REMOVABLE DENTAL PROSTHETICS by M. Nidzelsky, V. Chikor, N. Tsvetkova

    Published 2019-06-01
    “…Its use is always aimed at solving three problems: restoration of chewing; restoration of pronunciation of sounds; restoration of aesthetic norms of a person. …”
    Get full text
    Article
  16. 1616
  17. 1617

    Cotton Weed-YOLO: A Lightweight and Highly Accurate Cotton Weed Identification Model for Precision Agriculture by Jinghuan Hu, He Gong, Shijun Li, Ye Mu, Ying Guo, Yu Sun, Tianli Hu, Yu Bao

    Published 2024-12-01
    “…In this paper, a novel weed recognition model, Cotton Weed-YOLO, is proposed to improve the accuracy and efficiency of weed detection. CW-YOLO is based on YOLOv8 and introduces a dual-branch structure combining a Vision Transformer and a Convolutional Neural Network to address the problems of the small receptive field of the CNN and the high computational complexity of the transformer. …”
    Get full text
    Article
  18. 1618

    From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

    Published 2024-09-01
    “…Additionally, model validation remains a critical problem, as many studies fail to validate their models on diverse datasets, often relying on limited data from a single laboratory. …”
    Get full text
    Article
  19. 1619

    Extraction Method of Coronary Artery Blood Vessel Centerline in CT Coronary Angiography by Xiaodong Sheng, Tao Fan, Xiaoqi Jin, Jing Jin, Zhixian Chen, Guanqun Zheng, Min Lu, Zongcheng Zhu

    Published 2019-01-01
    “…Finally, the pseudo vascular centerline is removed using the vascular topology feature detection method. The experimental results show that the method can accurately extract the blood vessel center line, direction vector and other information in the coronary angiography image without manual intervention, and can be used in the computer-assisted diagnosis and treatment process of clinical cardiovascular disease.…”
    Get full text
    Article
  20. 1620

    Noise Robust Underwater Fishing Net Recognition Based on Range Gated Imaging by Zhensong Xu, Xinwei Wang, Liang Sun, Bo Song, Yue Zhang, Pingshun Lei, Jianan Chen, Jun He, Yan Zhou, Yuliang Liu

    Published 2024-01-01
    “…The proposed SFNR-Net introduces an auxiliary semantic segmentation module (ASSM) to introduce extra semantic information and enhance feature representation under noisy conditions. Besides, to address the problem of unbalanced training data, we employ semantic regulated cycle-consistent generative adversarial network (CycleGAN) as a data augmentation approach. …”
    Get full text
    Article