96   Artículos

 
en línea
Xuyuan Zhang, Yingqing Guo, Haoran Luo, Tao Liu and Yijun Bao    
The rapid identification of the amount and characteristics of chemical oxygen demand (COD) in influent water is critical to the operation of wastewater treatment plants (WWTPs), especially for WWTPs in the face of influent water with a low carbon/nitroge... ver más
Revista: Water    Formato: Electrónico

 
en línea
Xing-Zhou Li, Zhong-Ren Peng, Qingyan Fu, Qian Wang, Jun Pan and Hongdi He    
Air pollution is a growing concern in metropolitan areas worldwide, and Shanghai, as one of the world?s busiest ports, faces significant challenges in local air pollution control. Assessing the contribution of a specific port to air pollution is essentia... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Chang-Min Lee, Byung-Gun Jung and Jae-Hyuk Choi    
The International Maritime Organization strives to improve the atmospheric environment in oceans and ports by regulating ship emissions of air pollutants and promoting energy efficiency. This study deals with the prediction of eco-friendly combustion in ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Aleksandra Banasiewicz, Forougholsadat Moosavi, Michalina Kotyla, Pawel Sliwinski, Pavlo Krot, Jacek Wodecki and Radoslaw Zimroz    
An approach based on an artificial neural network (ANN) for the prediction of NOx emissions from underground load?haul?dumping (LHD) vehicles powered by diesel engines is proposed. A Feed-Forward Neural Network, the Multi-Layer Perceptron (MLP), is used ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Guwon Yoon, Seunghwan Kim, Haneul Shin, Keonhee Cho, Hyeonwoo Jang, Tacklim Lee, Myeong-in Choi, Byeongkwan Kang, Sangmin Park, Sanghoon Lee, Junhyun Park, Hyeyoon Jung, Doron Shmilovitz and Sehyun Park    
Energy prediction models and platforms are being developed to achieve carbon-neutral ESG, transition buildings to renewable energy, and supply sustainable energy to EV charging infrastructure. Despite numerous studies on machine learning (ML)-based predi... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Aniket R. Khade, Vijaya D. Damodara and Daniel H. Chen    
A fuel mixture of ammonia and natural gas as a low-carbon alternative for future power generation and transportation is an attractive option. In this work, a 50-species reduced mechanism, NH3NG, suitable for computational fluid dynamics simulations (CFD)... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Haiyang Wang, Peipei Wang, Zhiliang Jin, Yang Song and Daxi Xiong    
White light-emitting diodes (WLEDs) with a high television lighting consistency index (TLCI) are becoming popular in stadium, studio, and stage lighting, but they are hard to empirically manufacture because they exploit the response of a camera rather th... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Güler Ferhan Ünal Uyar, Mustafa Terzioglu, Mehmet Kayakus, Burçin Tutcu, Ahmet Çosgun, Güray Tonguç and Rüya Kaplan Yildirim    
Methane gas emission into the atmosphere is rising due to the use of fossil-based resources in post-industrial energy use, as well as the increase in food demand and organic wastes that comes with an increasing human population. For this reason, methane ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Tao He, Wenya Zhang, Hanwen Zhang and Jinliang Sheng    
In this study, mathematical models are used to estimate the emissions of livestock excreta (LE) generated by China?s livestock industry more accurately. Also, the spatial relationship between provinces is analyzed. LE emissions are predicted for the next... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Xinyu Tian, Qinghe Zheng, Zhiguo Yu, Mingqiang Yang, Yao Ding, Abdussalam Elhanashi, Sergio Saponara and Kidiyo Kpalma    
At present, the design of modern vehicles requires improving driving performance while meeting emission standards, leading to increasingly complex power systems. In autonomous driving systems, accurate, real-time vehicle speed prediction is one of the ke... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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