Showing 2,841 - 2,860 results of 3,407 for search '"automation"', query time: 0.05s Refine Results
  1. 2841

    Particularities and management of late-onset rheumatoid arthritis by Enrique Martínez González, Liena Perdomo Roselló, Reiny Lorena Rosquete Ávila

    Published 2024-03-01
    “…Objective: to analyze the demographic, clinical and treatment characteristics of late-onset rheumatoid arthritis. Methods: automated documentary review in the PubMed/Medline and Scielo databases (Google Scholar was used as a search engine) in the period between January and June 2023. 24 articles were selected, 75% updated. …”
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    Article
  2. 2842

    Students’ Daily Attendance Management System. by Komurembe, Phionah, Rukundo, Emmanuel

    Published 2024
    “…This project introduced a web-based system that automates attendance recording and report generation to address these issues, enhancing operational efficiency and usability. …”
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    Thesis
  3. 2843
  4. 2844

    A Digital Tool (Technology-Assisted Problem Management Plus) for Lay Health Workers to Address Common Mental Health Disorders: Co-production and Usability Study in Pakistan by Maham Saleem, Shamsa Zafar, Thomas Klein, Markus Koesters, Adnan Bashir, Daniela C Fuhr, Siham Sikander, Hajo Zeeb

    Published 2025-01-01
    “…TA-PM+ was co-produced with features like an automated interface, a personal dashboard, guidance videos, and a connected supervisory panel. …”
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    Article
  5. 2845
  6. 2846

    Analysis of Choroidal Vascularity Index in Keratoconus Patients Using Swept-Source Optical Coherence Tomography-Based Binarization Techniques by Rosa Gutierrez-Bonet, Jorge Ruiz-Medrano, Marc Biarnés, Mohammed Abdul Rasheed, Kiran Kumar Vupparaboina, Jay Chhablani, José M. Ruiz-Moreno

    Published 2020-01-01
    “…A 12 mm horizontal single-line SS-OCT b-scan was performed to create a choroidal thickness (CT) profile. Validated automated segmentation and binarization were used in order to analyse choroidal, stromal, and vascular areas. …”
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    Article
  7. 2847

    REDUCING THE BOOSTER STATIONS ENERGY CONSUMPTION BY WAY OF ELIMINATING OVERPRESSURE IN THE WATER SUPPLY NETWORK by G. N. Zdor, A. V. Sinitsyn

    Published 2015-09-01
    “…The authors offer the structure and methodology of the data collection-and-analysis automated system utilization for revealing and eliminating the overpressure in the water-supply network. …”
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    Article
  8. 2848

    Size of the Optic Nerve Head and Its Relationship with the Thickness of the Macular Ganglion Cell Complex and Peripapillary Retinal Nerve Fiber Layer in Patients with Primary Open... by Nobuko Enomoto, Ayako Anraku, Kyoko Ishida, Asuka Takeyama, Fumihiko Yagi, Goji Tomita

    Published 2015-01-01
    “…Mean deviation (MD) was measured using standard automated perimetry. The relationships among clinical factors including age, refraction, the ONH area, the rim area, the mGCC thickness, the cpRNFL thickness, and MD were evaluated using correlation coefficients and multiple regression analyses. …”
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    Article
  9. 2849

    An application of natural language processing for hypoglycemic event identification in patients with diabetes mellitus by J.E. Camacho-Cogollo, Cristhian Felipe Patiño Zambrano, Christian Lochmuller, Claudia C. Colmenares-Mejia, Nicolas Rozo, Mario A. Isaza-Ruget, Paul Rodriguez, Andrés García

    Published 2025-06-01
    “…We show that the NLP approach can effectively identify and automate the text-based detection process of potential hypoglycemic events, and can subsequently be used to make informed decisions about potential patient risks.…”
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    Article
  10. 2850

    Evaluation of an artificial intelligence-based system for real-time high-quality photodocumentation during esophagogastroduodenoscopy by Byeong Yun Ahn, Junwoo Lee, Jeonga Seol, Ji Yoon Kim, Hyunsoo Chung

    Published 2025-02-01
    “…Abstract Complete and high-quality photodocumentation in esophagoduodenogastroscopy (EGD) is essential for accurately diagnosing upper gastrointestinal diseases by reducing blind spot rates. Automated Photodocumentation Task (APT), an artificial intelligence-based system for real-time photodocumentation during EGD, was developed to assist endoscopists in focusing more on the observation rather than repetitive capturing tasks. …”
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    Article
  11. 2851

    Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

    Published 2025-01-01
    “…ABSTRACT Automating mineral delineation and rock type analysis using remote sensing imaging data is a critical application of machine learning. …”
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    Article
  12. 2852

    PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection by Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn

    Published 2024-01-01
    “…<italic>Objective:</italic> To address this limitation, we propose <italic>PseudoCell</italic>, an object detection framework for automated centroblast detection in WSI, eliminating the need for extensive pathologist&#x0027;s refined labels. …”
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    Article
  13. 2853

    Choroidal Thickness Analysis in Patients with Usher Syndrome Type 2 Using EDI OCT by L. Colombo, B. Sala, G. Montesano, C. Pierrottet, S. De Cillà, P. Maltese, M. Bertelli, L. Rossetti

    Published 2015-01-01
    “…Each patient underwent a complete ophthalmologic examination including Best Corrected Visual Acuity (BCVA), intraocular pressure (IOP), axial length (AL), automated visual field (VF), and EDI OCT. Both retinal and choroidal measures were measured. …”
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    Article
  14. 2854
  15. 2855

    Stem and Leaf Segmentation and Phenotypic Parameter Extraction of Tomato Seedlings Based on 3D Point by Xuemei Liang, Wenbo Yu, Li Qin, Jianfeng Wang, Peng Jia, Qi Liu, Xiaoyu Lei, Minglai Yang

    Published 2025-01-01
    “…These findings highlight a robust relationship between manual measurements and the extracted parameters, establishing a technical foundation for high-throughput automated phenotypic parameter extraction in tomato seedlings.…”
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    Article
  16. 2856

    Early detection of sepsis using machine learning algorithms by Rasha M. Abd El-Aziz, Alanazi Rayan

    Published 2025-01-01
    “…This technology-driven approach complements their clinical judgment by aiding healthcare experts in making timely, knowledgeable selections. The ML-SVM machine automates the prediction of sepsis onset with a sensitivity of 91 % and a specificity of 93 %, supplying an accuracy of 95.2 %. …”
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    Article
  17. 2857

    Transient Peripapillary Retinoschisis in Glaucomatous Eyes by Josine van der Schoot, Koenraad A. Vermeer, Hans G. Lemij

    Published 2017-01-01
    “…Participants were measured with spectral domain optical coherence tomography (SD-OCT), scanning laser polarimetry (SLP), scanning laser tomography (SLT), and standard automated perimetry (SAP). The presence of a focal retinoschisis in SD-OCT was observed and correlated to SLP, SLT, and SAP measurements, both cross-sectionally and longitudinally. …”
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    Article
  18. 2858

    Benchmarking human face similarity using identical twins by Shoaib Meraj Sami, John McCauley, Sobhan Soleymani, Nasser Nasrabadi, Jeremy Dawson

    Published 2022-09-01
    “…Abstract The problem of distinguishing identical twins and non‐twin look‐alikes in automated facial recognition (FR) applications has become increasingly important with the widespread adoption of facial biometrics. …”
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    Article
  19. 2859
  20. 2860

    Environmental Effects in Life Cycle Assessment of Machine-Vision-Driven Spall Repair Material Estimation for Sustainable Road Maintenance by Junhwi Cho, Shanelle Aira Rodrigazo, Hwang-Hee Kim, Su-Jin Lee, Chan Gi Park, Jaeheum Yeon

    Published 2025-01-01
    “…By utilizing machine vision techniques, this approach detects spall damage without road closures and automates the calculation of repair areas and material requirements through a proprietary estimation program. …”
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    Article