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Tania Kostenko
Pág. 325 - 335
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Tomas Bale?entis,Irena Kri?ciukaitiene
Pág. 8 - 17
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Xiwang Xiang, Xin Ma, Zhili Ma, Minda Ma and Weiguang Cai
A timely analysis for carbon emission reduction in buildings is an effective global response to the crisis of climate change. The logarithmic mean Divisia index (LMDI) decomposition analysis approach has been extensively used to assess the carbon emissio...
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Ting Huang, Zhengping Weng, Gang Liu and Zhenwen He
To manage multidimensional point data more efficiently, this paper presents an improvement, called HD-tree, of a previous indexing method, called D-tree. Both structures combine quadtree-like partitioning (using integer shift operations without storing i...
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Elena Bárcena-Martín and Jacques Silber
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Lingying Pan, Zheng Guo, Pei Liu, Linwei Ma and Zheng Li
China has been experiencing a rapid urbanization and industrialization progress with continuous increase in primary energy consumption. Meanwhile, China?s changing economic and society structure also introduces huge uncertainty to its future energy deman...
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Feifei He, Qinjuan Wan, Yongqiang Wang, Jiang Wu, Xiaoqi Zhang and Yu Feng
Accurately predicting hydrological runoff is crucial for water resource allocation and power station scheduling. However, there is no perfect model that can accurately predict future runoff. In this paper, a daily runoff prediction method with a seasonal...
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Yuke Zhou, Shaohua Wang and Yong Guan
Map overlay analysis is essential for geospatial analytics. Large scale spatial data pressing poses challenges for geospatial map overlay analytics. In this study, we propose an efficient parallel algorithm for polygons overlay analysis, including active...
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Miaomiao Yu, Hongyong Yuan, Kaiyuan Li and Lizheng Deng
To separate the noise and important signal features of the indoor carbon dioxide (CO2) concentration signal, we proposed a noise cancellation method, based on time-varying, filtering-based empirical mode decomposition (TVF-EMD) with Bayesian optimization...
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Esref Savas Basçi,Süleyman Serdar Karaca
Pág. 163 - 171
In this paper, we examined the relationship between ISE 100 Index and a set of four macroeconomic variables using Vector Autoregressive (VAR) model. Variables we used in our model are Exchange, Gold, Import, Export and ISE 100 Index. ISE 100 Index is a d...
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Hexiang Zheng, Hongfei Hou, Ruiping Li and Changfu Tong
To accurately forecast the future development trend of vegetation in dry areas, it is crucial to continuously monitor phenology, vegetation health indices, and vegetation drought indices over an extended period. This is because drought caused by high tem...
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Chuan-Sheng Wu, Jian-Qiang Zhang, Ling-Ling Qi and De-Bing Zhuo
Defects in pile foundations, such as neck defects, bulge imperfections, weak concretes, cracks, and broken piles, can cause a decrease in the bearing capacity and the structural stability of the foundation. Identification of the type of defect is vital i...
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Junhao Wu, Yuan Hu, Daqing Wu and Zhengyong Yang
Changes in the consumption price of aquatic products will affect demand and fishermen?s income. The accurate prediction of consumer price index provides important information regarding the aquatic product market. Based on the non-linear and non-smooth ch...
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Nusrat Jahan
Pág. 108 - 115
This study evaluated the productivity performance of 29 listed commercial banks by employing Malmquist Productivity Index (MPI) of Total Factor Productivity (TFP) over the period of 2011-2015. Evaluation of productivity performance reveals that Islamic b...
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Sanjiv R. Das, Karthik Mokashi and Robbie Culkin
We examine the use of deep learning (neural networks) to predict the movement of the S&P 500 Index using past returns of all the stocks in the index. Our analysis finds that the future direction of the S&P 500 index can be weakly predicted by the...
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Jianxu Liu, Xiaoqing Li, Yansong Li, Jirakom Sirisrisakulchai, Xuefei Kang and Jiande Cui
The urgency of enhancing agricultural productivity within the Yellow River Basin cannot be overstated, given its critical role in ensuring food security amidst the challenges posed by climate change, natural disasters, and the increasing demand for food ...
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Vanessa Gonçalves, Antonio Albuquerque, Pedro Gabriel Almeida, Luís Ferreira Gomes and Victor Cavaleiro
The risk of aquifer contamination is determined by the interaction between the pollutant load and the vulnerability of an aquifer. Owing to the decomposition of bodies and degradation of artefacts, cemeteries may have a negative impact on groundwater qua...
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Yuxiang Shao, Buqing Yan, Lubaiyang Liu, Xiao Yu, Gang Feng, Kun Zhang and Kang Gong
Bangong Lake is a narrow and long lake in the arid region of the plateau in northern Tibet. The salinity of the east of the lake is different from that the west, resulting in differences in the natural environment and human living conditions on each side...
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Balamurugan Panneerselvam, Nagavinothini Ravichandran, Shunmuga Priya Kaliyappan, Shankar Karuppannan and Butsawan Bidorn
The continuous intake of contaminated drinking water causes serious issues for human health. In order to estimate the suitability of groundwater for drinking and irrigation, and also conduct human risk assessments of various groups of people, a total of ...
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Chongxun Mo, Zhiwei Yan, Rongyong Ma, Xingbi Lei, Yun Deng, Shufeng Lai, Keke Huang and Xixi Mo
As the runoff series exhibit nonlinear and nonstationary characteristics, capturing the embedded periodicity and regularity in the runoff series using a single model is challenging. To account for these runoff characteristics and enhance the forecasting ...
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