Showing 41 - 60 results of 3,682 for search 'grunge~', query time: 4.45s Refine Results
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    Chapter 12 — Developing a Preventative Pruning Program: Young Trees by Edward F. Gilman, Amanda Bisson

    Published 2008-01-01
    “…It describes the components of preventive structural pruning, discusses how to determine pruning objectives, the pruning cycle and, proposes how to implement a preventative pruning plan for young trees in your community. …”
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    Article
  5. 45

    Candidate Species for Marine Ornamental Aquaculture: French Grunt, Haemulon flavolineatum by Kevin P. Barden, Matthew L. Wittenrich, Eric J. Cassiano

    Published 2014-06-01
    “… Grunts (family Haemulidae) are some of the most economically and ecologically important fishes found throughout the world. …”
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    Article
  6. 46

    Pruning Shade Trees in Landscapes: A Plan for Training Shade Trees by Edward F. Gilman

    Published 2007-03-01
    “…Gilman, lists the strategies for training shade trees and presents a pruning plan describing what to do at each of seven prunings in the first 25 years of planting. …”
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    Article
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    ARSS: A Novel Aerial Robot Performs Tree Pruning Tasks by Hao Xu, Zhong Yang, Le Chang, Kaiwen Lu, Changliang Xu, Qiuyan Zhang

    Published 2020-01-01
    “…In this article, we present a novel aerial robot with a suspended saw (ARSS) for pruning trees that are close to electric power lines. …”
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    Article
  9. 49

    Candidate Species for Marine Ornamental Aquaculture: French Grunt, Haemulon flavolineatum by Kevin P. Barden, Matthew L. Wittenrich, Eric J. Cassiano

    Published 2014-06-01
    “… Grunts (family Haemulidae) are some of the most economically and ecologically important fishes found throughout the world. …”
    Get full text
    Article
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    Pruning Shade Trees in Landscapes: A Plan for Training Shade Trees by Edward F. Gilman

    Published 2007-03-01
    “…Gilman, lists the strategies for training shade trees and presents a pruning plan describing what to do at each of seven prunings in the first 25 years of planting. …”
    Get full text
    Article
  13. 53

    Chapter 12 — Developing a Preventative Pruning Program: Young Trees by Edward F. Gilman, Amanda Bisson

    Published 2008-01-01
    “…It describes the components of preventive structural pruning, discusses how to determine pruning objectives, the pruning cycle and, proposes how to implement a preventative pruning plan for young trees in your community. …”
    Get full text
    Article
  14. 54

    On q-Rung Orthopair Fuzzy Subgroups by Asima Razzaque, Abdul Razaq

    Published 2022-01-01
    “…The q-rung orthopair fuzzy environment is an innovative tool to handle uncertain situations in various decision-making problems. …”
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    Article
  15. 55

    Dynamic Contagion of Systemic Risks on Global Main Equity Markets Based on Granger Causality Networks by Qiuhong Zheng, Liangrong Song

    Published 2018-01-01
    “…A total of 156 Granger causal networks of stock markets are constructed by using the Granger causality test and time series sliding window based on stock index data of 34 major stock markets in the world from 2004 to 2017. …”
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    Article
  16. 56

    Bariery rozwoju gospodarstw rolnych użytkujących grunty z Zasobu Własności Rolnej Skarbu Państwa by Katarzyna Łukiewska, Małgorzata Juchniewicz

    Published 2018-06-01
    “…Celem badań było określenie barier rozwoju gospodarstw rolnych w opinii rolników, którzy w swojej działalności użytkowali grunty pochodzące z Zasobu Własności Rolnej Skarbu Państwa (ZWRSP). …”
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    Article
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    A Differential Evolution-Oriented Pruning Neural Network Model for Bankruptcy Prediction by Yajiao Tang, Junkai Ji, Yulin Zhu, Shangce Gao, Zheng Tang, Yuki Todo

    Published 2019-01-01
    “…Inspired by the mechanism of biological neurons, we propose an evolutionary pruning neural network (EPNN) model to conduct financial bankruptcy analysis. …”
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    Article
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    A Pruning-Based Disk Scheduling Algorithm for Heterogeneous I/O Workloads by Taeseok Kim, Hyokyung Bahn, Youjip Won

    Published 2014-01-01
    “…Maintaining these candidate schedules requires excessive spatial and temporal overhead, but G-SCAN reduces the overhead to a manageable level via pruning the state space using two heuristics. One is grouping that clusters adjacent best-effort requests into a single scheduling unit and the other is the branch-and-bound strategy that cuts off inefficient or impractical schedules. …”
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    Article