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Meng Bi, Xianyun Yu, Zhida Jin and Jian Xu
In this paper, we propose an Iterative Greedy-Universal Adversarial Perturbations (IGUAP) approach based on an iterative greedy algorithm to create universal adversarial perturbations for acoustic prints. A thorough, objective account of the IG-UAP metho...
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Samuele Bumbaca and Enrico Borgogno-Mondino
This work was aimed at developing a prototype system based on multispectral digital photogrammetry to support tests required by international regulations for new Plant Protection Products (PPPs). In particular, the goal was to provide a system addressing...
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Heng Li, Junpeng Hua, Ranran Li, Yan Zhang, Huanhuan Jin, Shijing Wang and Guoyin Chen
Since ferric tetroxide (Fe3O4) has strong magnetic properties, coating amorphous silica (SiO2) with Fe3O4 nanoparticles can protect the magnetic Fe3O4 particles and form a new magnetic adsorbent with a core?shell structure and small pore size, the strong...
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Junwei Ma, Lijuan Wang and Pengfei Chen
Gaussian process regression (GPR) can effectively solve the problem of high-dimensional modeling with a small sample size. However, there is a lack of studies comparing GPR with other methods for leaf area index (LAI) inversion using hyperspectral data. ...
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Addisu Bekele Demie,(Madda Walabu UniversityEthiopia)Elia Muhammed,(Madda Walabu UniversityEthiopia)Nurhuseen Endris,(Madda Walabu UniversityEthiopia)Habtimer Mekonnen,(Madda Walabu UniversityEthiopia)
Pág. 42 - 56
AbstractThe main aim of this study is assessment of the effect of marketing practice on the business performance of micro and small MSE in shashemanne town, Ethiopia. In order to make the study being manageable it is necessary to define the delimitation ...
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Emilio Matricciani
The purpose of the paper is to extend the general theory of translation to texts written in the same language and show some possible applications. The main result shows that the mutual mathematical relationships of texts in a language have been saved or ...
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Junjie Chen, Wei Yang, Chenqi Liu and Leiyue Yao
In recent years, skeleton-based human action recognition (HAR) approaches using convolutional neural network (CNN) models have made tremendous progress in computer vision applications. However, using relative features to depict human actions, in addition...
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Jinn-Min Yang, Shih-Hsuan Wei
Pág. 68 - 72
Feature extraction (FE) or dimensionality reduction (DR) plays quite an important role in the field of pattern recognition. Feature extraction aims to reduce the dimensionality of the high-dimensional dataset to enhance the classification accuracy and fo...
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Abdel-Rahman Hedar, Amira A. Allam and Alaa Fahim
Generating practical methods for simulation-based optimization has attracted a great deal of attention recently. In this paper, the estimation of distribution algorithms are used to solve nonlinear continuous optimization problems that contain noise. One...
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Meskerem Million Abdo,Mequanent Muche Amera
This study was conducted in Manna woreda which is found in Jimma zone at a distance of 368 km south west of Addis Ababa and 24 km west of Jimma town. The objective of the study was to identify the determinants of household food insecurity in rural ...
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