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Ladifatou GACHILI NDI GBAMBIE,Ousseni MONGBET
Pág. 1 - 22
Sub-Saharan Africa (SSA) countries have benefited for more than fifty years from international aid in the form of loans and/or donations. Nevertheless, they seem not to benefit from these massive financial resources (ODA) they receive because their econo...
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Dewi Purnama,Budiono Budiono,Anhar Fauzan Priyono
Pág. 220 - 237
Abstract: The phenomenon of global current account imbalance has made researchers and policy makers provide more attention on current account issues. This phenomenon is illustrated by the US' current account deficit which continues to increase, while ASE...
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Tu D. Q. Le, Dat T. Nguyen and Thanh Ngo
This study investigates the relationship between market power and bank profitability, and the impacts of CEOs? personality traits, in Vietnam from 2007 to 2020. The analysis of CEOs? signatures is used to determine their characteristics. The findings sup...
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Chenglin Yang, Dongliang Xu and Xiao Ma
Due to the increasing severity of network security issues, training corresponding detection models requires large datasets. In this work, we propose a novel method based on generative adversarial networks to synthesize network data traffic. We introduced...
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Yunfei Yu, Linghua Meng, Chong Luo, Beisong Qi, Xinle Zhang and Huanjun Liu
In Northeast China, transplanted rice cultivation has been adopted to extend the rice growing season and boost yields, responding to the limitations of the cumulative temperature zone and high food demand. However, direct-seeded rice offers advantages in...
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SungSup Brian Choi, Kudzai Sauka and MiYoung Lee
This research investigates the factors influencing the capital structure of 271 non-financial firms listed on the Korean Stock Exchange (KSE) over a broad period from 1995 to 2021, encompassing both stable and crisis conditions. Employing a dynamic panel...
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James Simon Flynn, Cinzia Giannetti and Hessel Van Dijk
In many manufacturing systems, anomaly detection is critical to identifying process errors and ensuring product quality. This paper proposes three semi-supervised solutions to detect anomalies in Direct Current (DC) Nut Runner engine assembly processes. ...
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Peng Lyu, Jeongik Min and Juwhan Song
A non-invasive automatic broiler weight estimation and prediction method based on a machine learning algorithm was developed to address the issue of high labor costs and stress responses caused by the traditional broiler weighing method in large-scale br...
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Jing Pang, Xuwen Zhang, Xiaojun Lin, Jianghui Liu, Xinwu Du and Jiangang Han
In an analysis of the penetration resistance and tillage depth of post-tillage soil, four surface-layer discrimination methods, specifically, three machine learning algorithms?Kmeans, DBSCAN, and GMM?and a curve-fitting method, were used to analyze data ...
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Joseph Ndong and Ted Soubdhan
Building a sophisticated forecasting framework for solar and photovoltaic power production in geographic zones with severe meteorological conditions is very challenging. This difficulty is linked to the high variability of the global solar radiation on w...
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