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Mariam Sheikh Omar, Martin Onsiro Ronald, Njagi Gilbert Nyaga
Pág. 10 - 28
AbstractThe main purpose of this study was to analyzing working capital management practices on the performance of Small Medium Enterprises (Juakali) and develop instruments that may be used to assess and improve the performance in a business environment...
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Joana Carneiro, Dália Loureiro, Marta Cabral and Dídia Covas
This paper presents and demonstrates a novel scenario-building methodology that integrates contextual and future time uncertainty into the performance assessment of water distribution networks (WDNs). A three-step approach is proposed: (i) System context...
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Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
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Meng Ma, Zhirong Zhong, Zhi Zhai and Ruobin Sun
There are hundreds of various sensors used for online Prognosis and Health Management (PHM) of LREs. Inspired by the fact that a limited number of key sensors are selected for inflight control purposes in LRE, it is practical to optimal placement of redu...
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Sachin Gowda, Vaishakh Kunjar, Aakash Gupta, Govindaswamy Kavitha, Bishnu Kant Shukla and Parveen Sihag
In the realm of urban geotechnical infrastructure development, accurate estimation of the California Bearing Ratio (CBR), a key indicator of the strength of unbound granular material and subgrade soil, is paramount for pavement design. Traditional labora...
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Khalid K. Naji, Murat Gunduz and Mohamed Adalbi
Fast-track construction has recently become the prevailing construction approach globally. It enables owners and developers to make rapid returns on investment through shortened construction periods. This strategy has many effects on the industry; theref...
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Olegs Cernisevs, Yelena Popova and Dmitrijs Cernisevs
Risk management is a highly important issue for Fintech companies; moreover, it is very specific and puts forward the serious requirements toward the top management of any financial institution. This study was devoted to specifying the risk factors affec...
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Guowei Hua, Shijie Wang, Meng Xiao and Shaohua Hu
Dam safety is considerably affected by seepage, and uplift pressure is a key indicator of dam seepage. Thus, making accurate predictions of uplift pressure trends can improve dam hazard forecasting. In this study, a convolutional neural network, (CNN)-ga...
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Nichapa Parasin and Teerachai Amnuaylojaroen
A heat index is a key indicator directly related to meteorological factors influencing human health, particularly work performance. However, the interaction between air quality, meteorology, heat, and associated work performance is loosely defined, espec...
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Yongzhao Yan, Zhenqian Sun, Yueqi Hou, Boyang Zhang, Ziwei Yuan, Guoxin Zhang, Bo Wang and Xiaoping Ma
Unmanned aerial vehicle (UAV) swarms offer unique advantages for area search and environmental monitoring applications. For practical deployments, determining the optimal number of UAVs required for a given task and defining key performance metrics for t...
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