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Om Prakash Sharma, Narayanan Kannan, Scott Cook, Bijay Kumar Pokhrel and Cameron McKenzie
Most of the recent studies on the consequences of extreme weather events on crop yields are focused on droughts and warming climate. The knowledge of the consequences of excess precipitation on the crop yield is lacking. We attempted to fill this gap by ...
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Slavica Stevanovic, Jelena Minovic, Isidora Ljumovic
Research Question: This paper examines the impact of liquidity on the profitability of the Serbian polluting medium sized enterprises. Motivation: We study the impact of traditional liquidity indicators and indicators based on cash flow on the profitabil...
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Maja Jandric
Research Question: The aim of this paper is to construct a numerical measure of EPL which takes into consideration the implementation of legislation and employment structure. Motivation: It is recognized in the literature that in countries with a signifi...
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Haneul Lee and Seokheon Yun
Accurately predicting construction costs during the initial planning stages is crucial for the successful completion of construction projects. Recent advancements have introduced various machine learning-based methods to enhance cost estimation precision...
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Xiaoou Li
This paper tackles the challenge of time series forecasting in the presence of missing data. Traditional methods often struggle with such data, which leads to inaccurate predictions. We propose a novel framework that combines the strengths of Generative ...
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Valerii Kozlovskyi, Ivan Shvets, Yurii Lysetskyi, Mikolaj Karpinski, Aigul Shaikhanova and Gulmira Shangytbayeva
The classification of the natural and anthropogenic destabilizing factors of a telecommunications network as a complex system is presented herein. This research shows that to evaluate the parameters of a telecommunications network in the presence of dest...
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Nisa Boukichou-Abdelkader, Miguel Ángel Montero-Alonso and Alberto Muñoz-García
Recently, many methods and algorithms have been developed that can be quickly adapted to different situations within a population of interest, especially in the health sector. Success has been achieved by generating better models and higher-quality resul...
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Jesus Alejandro Serrato-Pedrosa, Guillermo Urriolagoitia-Sosa, Beatriz Romero-Ángeles, Guillermo Manuel Urriolagoitia-Calderón, Salvador Cruz-López, Alejandro Urriolagoitia-Luna, David Esaú Carbajal-López, Jonathan Rodolfo Guereca-Ibarra and Guadalupe Murillo-Aleman
Plantar pressure distribution is a thoroughly recognized parameter for evaluating foot structure and biomechanical behavior, as it is utilized to determine musculoskeletal conditions and diagnose foot abnormalities. Experimental testing is currently bein...
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Xing Su, Wenjie Sun, Chenting Song, Zhi Cai and Limin Guo
With the rapid development of the economy, car ownership has grown rapidly, which causes many traffic problems. In recent years, intelligent transportation systems have been used to solve various traffic problems. To achieve effective and efficient traff...
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Ashokkumar Palanivinayagam and Robertas Dama?evicius
The existence of missing values reduces the amount of knowledge learned by the machine learning models in the training stage thus affecting the classification accuracy negatively. To address this challenge, we introduce the use of Support Vector Machine ...
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