Showing 321 - 340 results of 518 for search 'partial aggregation', query time: 0.08s Refine Results
  1. 321

    Congestion control algorithms in wireless sensor networks: Trends and opportunities by Syed Afsar Shah, Babar Nazir, Imran Ali Khan

    Published 2017-07-01
    “…Congestion control is an extremely important area within wireless sensor networks (WSN), where traffic becomes greater than the aggregated or individual capacity of the underlying channels. …”
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    Article
  2. 322

    A sustentabilidade dos municípios do estado do Amapá a partir dos indicadores do Programa Cidades Sustentáveis, Brasil by Renata Abdon De Sá Seixas, José Francisco de Carvalho Ferreira, Helenilza Ferreira Albuquerque Cunha

    Published 2022-06-01
    “…Each axis produced partial results and at the end a ranking was elaborated considering the performance of the municipalities according to ISM. …”
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    Article
  3. 323

    The Problem of Double economic taxation of Distributed Profits and reform scenarios in russia by N. S. Milogolov, A. B. Berberov

    Published 2022-11-01
    “…First, distortion of tax regime in favor of debt financing of companies, and second, sufficiently competitive level of aggregate tax rate on distributed profits compared to developed countries. …”
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    Article
  4. 324

    Chicken egg white — characteristics of its properties and the prospects for functional foods development by I. L. Stefanova, A. Yu. Klimenkova, L. V. Shakhnazarova, V. K. Mazo

    Published 2021-07-01
    “…The influence of denaturation and aggregation on variations of protein properties is described below. …”
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    Article
  5. 325

    Tirofiban Combination Therapy for Acute Ischemic Stroke: A Systematic Review and Meta‐Analysis by Abdullah Bin Kamran, Ahmed Bazil Bin Khalil, Ayesha Muhammad, Hira Arshad, Fatima Nazir, Muhammad Mateen Ali, M. Mairaj Umar, Muhammad Farhan, Sudhair Alam, Javed Iqbal

    Published 2025-06-01
    “…Standard antiplatelet therapies, while partially effective, do not fully inhibit all pathways of platelet aggregation, leaving patients at risk of recurrent thrombotic events. …”
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    Article
  6. 326

    Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks by Yangchen Li, Lingzhi Zhao, Tianle Wang, Lianghui Ding, Feng Yang

    Published 2025-01-01
    “…We transform the primal problem into a Markov decision process (MDP) for the single-agent DRL framework and a decentralized partially-observable Markov decision process (Dec-POMDP) for the multi-agent DRL framework. …”
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    Article
  7. 327

    An efficient strategy for small-scale screening and production of archaeal membrane transport proteins in Escherichia coli. by Pikyee Ma, Filipa Varela, Malgorzata Magoch, Ana Rita Silva, Ana Lúcia Rosário, José Brito, Tânia Filipa Oliveira, Przemyslaw Nogly, Miguel Pessanha, Meike Stelter, Arnulf Kletzin, Peter J F Henderson, Margarida Archer

    Published 2013-01-01
    “…Despite their importance, structural and functional characterisation of membrane proteins still remains a challenge, partially due to the difficulties in recombinant expression and purification. …”
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    Article
  8. 328

    DNA Methylation Pattern and mRNA Expression Level of E-Cadherin and P16 Genes in Thrombotic Disorders by Niloofar Abak M.Sc, Mehdi Azad Ph.D, Fatemeh Mohammad Ali Ph.D, Mostafa Saberian Ph.D, Saeed Turkaman M.Sc, Shaban Alizadeh Prof

    Published 2024-12-01
    “…Results The promoter of the CDH1 gene was partially methylated in 84.4% of thrombotic patients and unmethylated in 15.6% ( P  = 0.183). …”
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    Article
  9. 329

    Hierarchical Order of Influence of Mix Variables Affecting Compressive Strength of Sustainable Concrete Containing Fly Ash, Copper Slag, Silica Fume, and Fibres by Sakthieswaran Natarajan, Ganesan Karuppiah

    Published 2014-01-01
    “…While fly ash and copper slag are used for partial replacement of cement and fine aggregate, respectively, defined quantities of steel and polypropylene fibres were added to the mixes. …”
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    Article
  10. 330

    Maximum likelihood estimation of age-specific incidence rate from prevalence. by Sabrina Voß, Annika Hoyer, Ralph Brinks

    Published 2025-01-01
    “…An alternative method allows incidence estimation based on aggregated data from (cross-sectional) prevalence and mortality studies using relations between incidence, prevalence and mortality described by the illness-death model and a related partial differential equation. …”
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    Article
  11. 331

    Abrasion resistance of concrete made with micro fibers and recycled granulated rubber by Nenad Ristić, Ćurčić Gordana Topličić, Dušan Grdić

    Published 2015-12-01
    “…Six batches of concrete were made for the tests: reference concrete, concrete with partial replacement of fine river aggregate with recycled granulated rubber, two batches with the addition of polypropylene fibers (monofilament and fibrillated) and two batches of concrete with addition of steel hook ended fibers (short - having length 30 mm and long - having length 50 mm). …”
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    Article
  12. 332

    Incorporation of furnace-treated alum and textile sludge in concrete: strength, durability and environmental impact by Vinodhkumar Shanmugasundaram, Arunkumar Manoharan, Karthikeyan Selvarajan, Mohanraj A

    Published 2025-12-01
    “…This study evaluates the use of furnace-treated alum sludge (AS) and textile sludge (TS) as partial fine aggregate replacements in concrete. Mixes with 0%, 5%, 10%, and 15% replacements were assessed for mechanical and durability properties. …”
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    Article
  13. 333

    Reliability Assessment Of Reinforced Concrete Beam Containing Iron Ore Tailings by Mahmud Abubakar, James Isiwu Aguwa, Daniel Ndakuta Kolo, Abdulaziz Yusuf, Sadiq Sius Lawal

    Published 2025-04-01
    “… This paper assesses the reliability of reinforced concrete beams incorporating IOT as a partial replacement for fine aggregates. An equation for the moment resistance capacity of IOT concrete beams was developed as well as the performance functions for the beam in flexure and shear conditions, providing a basis for evaluating structural performance under flexural loads. …”
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    Article
  14. 334

    TRYING TO DETERMINE THE DEVELOPMENT TRENDS OF THE RUSSIAN ECONOMY by A. A. Frenkel, Ya. V. Sergienko, N. N. Volkova, O. N. Matveeva

    Published 2017-10-01
    “…In the calculation of an aggregate index, the problem of comparing partial indices having different economic meaning and measurement units is solved by significant adjustment of each index.…”
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    Article
  15. 335

    The role of mundane resistance in the spectacular failure of the smart home by Murray Goulden, Lewis Cameron

    Published 2025-09-01
    “…A decade on from the launch of Amazon's Alexa – the smart home's breakout product – the vision of semi-automated, pervasively sensed domesticity remains unrealised; industry losses are mounting; and big tech protagonists are in partial or full retreat from their smart home ambitions. …”
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    Article
  16. 336

    Research on resource allocation algorithm of centralized and distributed Q-learning in machine communication by Yunhe YU, Jun SUN

    Published 2021-11-01
    “…Under the premise of ensuring partial machine type communication device (MTCD)’s quality of service (QoS) requirements, the resource allocation problem was studied with the goal of maximizing system throughput in the massive machine type communication (mMTC) scenario.Two resource allocation algorithms based on Q-learning were proposed: centralized Q-learning algorithm (team-Q) and distributed Q-learning algorithm (dis-Q).Firstly, taking into account MTCD’s geographic location and multi-level QoS requirements, a clustering algorithm based on cosine similarity (CS) was designed.In the clustering algorithm, multi-dimensional vectors that represent MTCD and data aggregator (DA) were constructed, and MTCDs can be grouped according to the CS value between multi-dimensional vectors.Then in the MTC network, the team-Q learning algorithm and dis-Q learning algorithm were used to allocate resource blocks and power for the MTCD.In terms of throughput performance, team-Q and dis-Q algorithms have an average increase of 16% and 23% compared to the dynamic resource allocation algorithm and the greedy algorithm, respectively.In terms of complexity performance, the dis-Q algorithm is only 25% of team-Q algorithm and even below, the convergence speed is increased by nearly 40%.…”
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  17. 337

    Evaluation of the Performance and Microstructure of Ecofriendly Construction Bricks Made with Fly Ash and Residual Rice Husk Ash by Chao-Lung Hwang, Trong-Phuoc Huynh

    Published 2015-01-01
    “…Unground rice husk ash (URHA) was used as a partial fine aggregate substitute (0–40%). The solid bricks of 220 × 105 × 60 mm in size were prepared by mixing FA and RHA with an alkaline solution and fine aggregates, formed by compressing the mixture in a steel mold under 35 MPa of forming pressure, and then cured at 35°C and 50% relative humidity until the required testing ages. …”
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  18. 338

    Investigating the correlation between ultrasonic pulse velocity and compressive strength in polyurethane foam concrete by R. Roobankumar, M. SenthilPandian

    Published 2025-07-01
    “…Abstract Using waste polyurethane foam as a partial replacement for natural coarse aggregates in concrete provides an eco-friendly solution by reducing waste and conserving natural resources. …”
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    Article
  19. 339

    Chrome waste utilization in base layers: Mechanical strength and environmental risk assessment by Mehmet Tevfik Seferoğlu, Elif Nur Acı

    Published 2025-07-01
    “…This study investigates the partial substitution of natural aggregate (Na) with chrome mine waste (Crw) in highway base layers, focusing on mechanical performance and environmental safety. …”
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    Article
  20. 340

    On the adaptability of ensemble methods for distributed classification systems: A comparative analysis by Mónica Villaverde, David Aledo, David Pérez, Félix Moreno

    Published 2019-07-01
    “…The first stage makes classifications from partial information of the entire target (i.e. from different points of view or from different kind of measures) using a simple artificial neural network as a classifier. …”
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    Article