USING MACHINE LEARNING ENSEMBLE METHODS TO PREDICT EXECUTION TIME OF E-SCIENCE WORKFLOWS IN HETEROGENEOUS DISTRIBUTED SYSTEMS

Using Machine Learning Ensemble Methods to Predict Execution Time of e-Science Workflows in Heterogeneous Distributed Systems

Effective planning and optimized execution of the e-Science baby accessories workflows in distributed systems, such as the Grid, need predictions of execution times of the workflows.However, predicting the execution times of e-Science workflows in heterogeneous distributed systems is a challenging job due to the complex structure of workflows, vari

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Evolution of Floral Fragrance Is Compromised by Herbivory

Despite the paramount role of floral fragrance in pollinator attraction and reproduction in flowering plants, Ducted Vacuum Hose we know little about its evolution under natural conditions.Here we show that by reducing herbivore load with pesticide application, plants showed evolutionary changes in their floral fragrance within 4 generations when c

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Effects of Irrigation Method and Water Flow Rate on Irrigation Performance, Soil Salinity, Yield, and Water Productivity of Cauliflower

Water scarcity is a major constraint for food production, particularly in arid and semi-arid environments.In this regard, selecting the best irrigation technique is crucial baby accessories to overcome water scarcity and enhance water productivity (WP) with no significant yield loss.This study aimed to assess the impact of irrigation techniques of

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