With the advancement of satellite technology,a considerable amount of very high-resolution imagery has become available to be used for the Land Cover and Land Use(LCLU)classification task aiming to categorize remotely...
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With the advancement of satellite technology,a considerable amount of very high-resolution imagery has become available to be used for the Land Cover and Land Use(LCLU)classification task aiming to categorize remotely sensed images based on their semantic ***,Deep Neural Networks(DNNs)have been widely used for different applications in the field of remote sensing and they have profound impacts;however,improvement of the generalizability and robustness of the DNNs needs to be progressed further to achieve higher accuracy for a variety of sensing geometries and *** address this problem by deploying three different Deep Neural Network Ensemble(DNNE)methods and creating a comparative analysis for the LCLU classification *** enables improvement of the performance of DNNs by ensuring the diversity of the models that are ***,enhances the generalizability of the models and produces more robust and generalizable outcomes for LCLU classification *** experimental results on NWPU-RESISC45 and AID datasets demonstrate that utilizing the aggregated information from multiple DNNs leads to an increase in classification performance,achieves state-of-the-art,and promotes researchers to make use of DNNE.
This study proposed a novel approach that integrates qualitative and quantitative methods to identify the competency gaps of VHS teachers in Vocational High Schools (VHSs). It comprised four research steps, namely (1)...
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This study aimed to explore the end user's preferences regarding the features of an android app by classifying them with the Kano Model. The list of features was based on ISO/IEC 25010 combined with Android Core A...
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Heart rate monitoring is widely used as a general procedure to examine fetal health condition. Fetal heart rate can be used to identified possibilities of fetal anomaly and warn the obstetrician to provide immediate i...
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Hydroponics is a method of growing crops without using soil, with the benefits of controlling the environment and nutrients, conserving water, and reducing labor. The applied technology is used to improve results that...
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Competency Skills (UKK) is part of government intervention in ensuring the quality of education in the Secondary Vocational School aims to measure the achievement of a certain level of competency in students' appr...
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Research for the detection and identification of existing license plate focus on static image under different weather conditions. This research aims to detect and recognize the license plate on moving vehicle at night...
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As it is known that the city government of Palembang has implemented e-government, but how much e-government can help the Palembang city government to interact between the government and all levels of society includin...
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Medical Gas is an important component in the treatment of patients with COVID-19 disease. Medical gas is used to help COVID-19 patients to reduce the effects of respiratory disorders by providing oxygen ventilators to...
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Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from dif...
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ISBN:
(纸本)0769517722
Prober is a functional and performance analysis tool for parallel programs, developed during an undergraduate research project. In this paper we show the new expanded version of Prober, in which some features from different software tools are aggregated. It can be used as a single tool to aid the developer in the performance analysis of parallel programs. Our main goal is to provide a new version of Prober, with additional features. Among them we can highlight: the interpretation of user scripts, a user-level support library the generation of speedup and efficiency graphics, batch execution and a new user interface. In order to show, verify and analyze the use of the new version of Prober, we did performance tests in a parallel image convolution program. We added performance measuring routines to collect performance data within different internal code segments;built a set of scripts to specify the performance tests;ran the set of scripts in batch mode;used Prober to generate graphics and statistics based on the collected performance data;and analyzed the results rising Prober as an aid tool.
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