Showing 2,201 - 2,220 results of 26,141 for search '"code"', query time: 0.12s Refine Results
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    Instantly decodable network coding–assisted data dissemination for prioritized services in vehicular ad hoc networks by Shujuan Wang, Shuguang Lu, Qian Zhang

    Published 2019-04-01
    “…Moreover, the algorithm applies instantly decodable network coding technique on the scheduled data to maximize the multicast throughput. …”
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  3. 2203
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    A New Scheme Based on Pixel-Intense Motion Block Algorithm for Residual Distributed Video Coding by Lijuan Sun, Zhaoxiao Lin, Fu Xiao, Jian Guo

    Published 2013-11-01
    “…Residual Distributed Video Coding (RDVC) is a branch of the Distributed Video Coding (DVC). …”
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    Dilemma of missing specific disease codes: an approach to assess the incidence and prevalence of a rare nephrology disease by Matthias Roll, Amadeus Gladbach, Isabella Selinger, Thomas Hardt, Helena Himmelhaus, Christian Jacob, Timotheus Stremel, Julia Theil, Jürgen Floege

    Published 2025-07-01
    “…Methods A retrospective observational study was conducted using data from January 1st, 2015 to December 31st, 2022. Two coding algorithms – one restrictive and one inclusive – were developed to identify primary IgAN cases based on ICD-10-GM codes. …”
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    An Enhanced Approach for Reliable Bulk Data Transmission Based on Erasure-Resilient Codes in Wireless Sensor Networks by Taehyun Park, Seung Young Kim, Jian-Jun Lei, Gu-In Kwon

    Published 2013-12-01
    “…M-FEC fragments bulk data into many small blocks and these blocks are encoded using rateless codes. Only the erroneous blocks that are detected in a frame are dropped and a relay node waits for other incoming blocks in order to construct a full-sized frame. …”
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    Reallocating diabetes-related garbage codes to improve mortality estimates: a case study in Weifang, China by Xiao Zhang, Wenyi Yang, Jingxin Wang, Limei Ai, Min Chen, Chunping Wang, Xia Wan

    Published 2025-07-01
    “…Abstract Effective identification and correction of diabetes mellitus (DM)-related garbage codes (GCs) in mortality surveillance data is crucial for accurately estimating regional DM mortality rates. …”
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    Experimental verification of a methodology for Monte Carlo modeling of multileaf collimators using the code Geant4 by Alex Cristóvão Holanda de Oliveira, José Wilson Vieira, Miriam Zarza Moreno, Fernando Roberto Andrade Lima

    Published 2018-05-01
    “…Based on this methodology, it is possible to simulate other Varian MLC models using Geant4 or other MC code.…”
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    Reprocessing Exhaust Gas Xenon Isotope Correlation Spent Fuel Burn-Up Based on ORIGEN Code by Sheng-hui HUANG, Chang-kun XU, Hao-dong SHAN, Yan CHEN, Li-li LI, Yong-gang ZHAO

    Published 2025-06-01
    “…Physical calculations of burn-up and quantity of fission products were carried out through ORIGEN2 code. Based on the nuclear safeguards supervision and verification scenario, a stable xenon isotope correlation model for quantity of fission products and spent fuel burn-up is established, and linear fitting relationships between spent fuel burn-up in 101 Heavy Water Research Reactors and Daya Bay Pressurized Water Reactors and 131Xe/134Xe, 132Xe/134Xe isotopes ratio are obtained. …”
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    The effect of correlated neuronal firing and neuronal heterogeneity on population coding accuracy in guinea pig inferior colliculus. by Oran Zohar, Trevor M Shackleton, Alan R Palmer, Maoz Shamir

    Published 2013-01-01
    “…This enables us to study the effect of neuronal correlations on the accuracy of conventional rate codes. We show that in a homogenous population, in the presence of even low-level correlations, information content is bounded. …”
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  20. 2220

    Co-Learning: code learning for multi-agent reinforcement collaborative framework with conversational natural language interfaces by Jiapeng Yu, Yuqian Wu, Yajing Zhan, Wenhao Guo, Zhou Xu, Raymond Lee

    Published 2025-05-01
    “…This paper proposed a Multi-Agent framework with environmentally reinforcement learning (E-RL) for code correction called Code Learning (Co-Learning) community, assisting beginners to correct code errors independently. …”
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