Showing 101 - 120 results of 2,515 for search '"surveillance"', query time: 0.07s Refine Results
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    Awareness of Postpolypectomy Surveillance Guidelines: A Nationwide Survey of Colonoscopists in Canada by Harmke van Kooten, Vincent de Jonge, Eline Schreuders, Jerome Sint Nicolaas, Monique E van Leerdam, Ernst J Kuipers, Sander JO Veldhuyzen van Zanten

    Published 2012-01-01
    “…Adherence to postpolypectomy surveillance guidelines becomes increasingly important amid the increasing demands for colonoscopy because suboptimal compliance can lead to unnecessary risks and the ineffective use of resources. …”
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    Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

    Published 2025-01-01
    “…This proposed algorithm has been tested on diverse datasets, including VSUMM, SumMe, Mall, user-generated videos, surveillance footage from Amrita Vishwa Vidyapeetham University (Coimbatore, India), and web-sourced videos. …”
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    Estimating the trend of COVID-19 in Norway by combining multiple surveillance indicators. by Gunnar Rø, Trude Marie Lyngstad, Elina Seppälä, Siri Nærland Skodvin, Lill Trogstad, Richard Aubrey White, Arve Paulsen, Trine Hessevik Paulsen, Trine Skogset Ofitserova, Petter Langlete, Elisabeth Henie Madslien, Karin Nygård, Birgitte Freisleben de Blasio

    Published 2025-01-01
    “…The pandemic revealed the utility of new data sources and highlighted challenges in interpreting surveillance indicators when changes in disease severity, testing practices or reporting occur. …”
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    Federated learning based intelligent edge computing technique for video surveillance by Yu ZHAO, Jie YANG, Miao LIU, Jinlong SUN, Guan GUI

    Published 2020-10-01
    “…With the explosion of global data,centralized cloud computing cannot provide low-latency,high-efficiency video surveillance services.A distributed edge computing model was proposed,which directly processed video data at the edge node to reduce the transmission pressure of the network,eased the computational burden of the central cloud server,and reduced the processing delay of the video surveillance system.Combined with the federated learning algorithm,a lightweight neural network was used,which trained in different scenarios and deployed on edge devices with limited computing power.Experimental results show that,compared with the general neural network model,the detection accuracy of the proposed method is improved by 18%,and the model training time is reduced.…”
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    Racial/Ethnic Patterns in Prostate Cancer Outcomes in an Active Surveillance Cohort by Jennifer Cullen, Stephen A. Brassell, Yongmei Chen, Christopher Porter, James L'Esperance, Timothy Brand, David G. McLeod

    Published 2011-01-01
    “…Concern regarding overtreatment of prostate cancer (CaP) is leading to increased attention on active surveillance (AS). This study examined CaP survivors on AS and compared secondary treatment patterns and overall survival by race/ethnicity. …”
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  15. 115

    Optimal allocation of resources between control and surveillance for complex eradication scenarios by Mahdi Parsa, David Ramsey, Belinda Barnes

    Published 2025-02-01
    “…This study incorporates analytical Bayesian solutions and measures of uncertainty into a framework of progressive management to guide optimal resource allocation between control (mop‐ups) and surveillance programs. Shannon entropy is used to quantify uncertainty, accounting for often highly skewed and bimodal distributions, and the expected value of perfect information (EVPI) is incorporated to assess the potential benefits of reducing uncertainty in key model parameters. …”
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    Pioneering Role of Nanopore Single-Molecule Sensing in Environmental and Food Surveillance by Wenqiang Tian, Xu Wang, Yan Zhang, Ting Weng, Tlili Chaker, Xiaohan Chen, Qingke Kong, Deqiang Wang

    Published 2025-01-01
    “…Nanopore sensors, featuring nano-scaled pore size, have demonstrated outstanding performance in terms of rapidity, sensitivity, and selectivity as a single-molecule technique for environmental and food surveillance. In this review, we present a comprehensive overview of nanopore applications in these two fields. …”
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  19. 119

    Implementation of malaria vector surveillance and insecticide resistance monitoring interventions in Nigeria by Abiodun Obembe, Adedayo O. Oduola, Adedapo Adeogun, Uwem Inyang, Tolulope Oyeniyi, Abiodun Olakiigbe, Ayodele Babalola, Petrus Inyama, Samdi Lazarus, Ifeanyi Okeke, Mary Esema, Okefu Oyale Okoko, Mamudu Omo-Eboh, Perpetua Uhomoibhi, Mohammed Bala, Samson Awolola

    Published 2024-12-01
    “…Abstract Malaria vector surveillance is required to determine disease transmission dynamics, vector insecticide susceptibility status, suitable control strategies and impact of control interventions. …”
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    Analysis of Food Insecurity and Surveillance Based on the FANP Method in the northwest of Iran by Helda Tutunchi, Alireza Ostadrahimi, Soltanali Mahboob, Sirous J Tabrizi

    Published 2013-05-01
    “…In this paper, we seek to use the Fuzzy analytical network process (FANP) for analysis of food insecurity surveillance and selecting the best strategies for improving it. …”
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