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Ni Wayan Srimani Puspa Dewi,Tania June,Mohammad Yani,Mujito Mujito
Pág. 109 - 119
Industrial activities are sources of air pollution. Pollutants dispersion in air influenced by meteorological condition, such as wind speed, wind direction, air temperarture, air turbulence and atmospheric stability. Air quality monitoring is important i...
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Allan Jonathan da Silva, Jack Baczynski and José Valentim Machado Vicente
We introduce a novel stochastically correlated two-factor (i.e., bivariate) diffusion process under the square-root format, for which we analytically obtain the corresponding solutions for the conditional moment-generating functions and conditional chara...
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Wangyang Li, Youzhen Xiang, Xiaochi Liu, Zijun Tang, Xin Wang, Xiangyang Huang, Hongzhao Shi, Mingjie Chen, Yujie Duan, Liaoyuan Ma, Shiyun Wang, Yifang Zhao, Zhijun Li and Fucang Zhang
Applying hyperspectral remote sensing technology to the prediction of soil moisture content (SMC) during the growth stage of soybean emerges as an effective approach, imperative for advancing the development of modern precision agriculture. This investig...
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Aljawharah A. Alnaser, Ali Hassan Ali, Haytham H. Elmousalami, Ahmed Elyamany and Ahmed Gouda Mohamed
This study introduces a pioneering structural equation modeling (SEM)-based framework to assess BIM-DT adoption readiness in sustainable construction. The research?s approach delves into the intricate correlation between key success factors (KSFs) and su...
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Jiahui Zhao, Zhibin Li, Pan Liu, Mingye Zhang
Pág. 115 - 142
Demand prediction plays a critical role in traffic research. The key challenge of traffic demand prediction lies in modeling the complex spatial dependencies and temporal dynamics. However, there is no mature and widely accepted concept to support the so...
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Yafei Xi, Quanhua Hou, Yaqiong Duan, Kexin Lei, Yan Wu and Qianyu Cheng
Exploring the correlation of the built environment with metro ridership is vital for fostering sustainable urban growth. Although the research conducted in the past has explored how ridership is nonlinearly influenced by the built environment, less resea...
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Zeqin Tian, Dengfeng Chen and Liang Zhao
Accurate building energy consumption prediction is a crucial condition for the sustainable development of building energy management systems. However, the highly nonlinear nature of data and complex influencing factors in the energy consumption of large ...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Ugur Ercan, Onder Kabas and Georgiana Moiceanu
Alfalfa holds an extremely significant place in animal nutrition when it comes to providing essential nutrients. The leaves of alfalfa specifically boast the highest nutritional value, containing a remarkable 70% of crude protein and an impressive 90% of...
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Yubing Yuan, Yicai Ji, Shengbo Ye, Xiaojun Liu and Guangyou Fang
Life detection is important in earthquake rescue, but weak vital signal is susceptible to interference by clutters. Due to the undesirable characteristics of the hardware, there are two main types of clutter generated by the frequency modulation continuo...
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