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Cai Wu, Yanwen Wang, Jiong Wang, Menno-Jan Kraak and Mingshu Wang
This study introduces a machine learning-based framework for mapping street patterns in urban morphology, offering an objective, scalable approach that transcends traditional methodologies. Focusing on six diverse cities, the research employed supervised...
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Rui Wang and Yijing Li
Given the paramount impacts of COVID-19 on people?s lives in the capital of the UK, London, it was foreseeable that the city?s crime patterns would have undergone significant transformations, especially during lockdown periods. This study aims to testify...
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Alireza Kakoee, Jacek Hunicz and Maciej Mikulski
This paper presents a comprehensive investigation into the design of a methane oxidation catalyst aftertreatment system specifically tailored for the Wärtsilä W31DF natural gas engine which has been converted to a reactivity-controlled compression igniti...
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Enrico Santangelo, Angelo Del Giudice, Simone Figorilli, Simona Violino, Corrado Costa, Marco Bascietto, Simone Bergonzoli and Claudio Beni
The autonecrotic tomato line V20368 (working code IGSV) spontaneously develops necrotic lesions with acropetal progression in response to an increase in temperature and light irradiation. The process is associated with the interaction between tomato and ...
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Tanja Verster and Erika Fourie
The landscape of financial credit risk models is changing rapidly. This study takes a brief look into the future of predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine learning. As ...
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Riyadh S. Almukhtar, Ali Amer Yahya, Omar S. Mahdy, Hasan Shakir Majdi, Gaidaa S. Mahdi, Asawer A. Alwasiti, Zainab Y. Shnain, Majid Mohammadi, Adnan A. AbdulRazak, Peter Philib, Jamal M. Ali, Haydar A. S. Aljaafari and Sajda S. Alsaedi
Due to the significant increase in heavy feedstocks being transported to refineries and the hydrocracking process, the significance of adopting an ebullated bed reactor has been reemphasized in recent years. The predictive modelling of gas hold-up in an ...
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Lucas Kwai Hong Lui and C. K. M. Lee
This research investigated a mathematical model of earphone design with principal component analysis. Along with simplifying the design problem, a predictive model for the sound quality indicators, namely, total harmonic distortion, power of output, rang...
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Giulia Grottesi, Guilherme B. A. Coelho and Dimitrios Kraniotis
In the world of cultural heritage, a wide range of artefacts and buildings are made of wood and, therefore, are subjected to moisture-induced stress and strain cycles, owing to environmental fluctuations. Simultaneous action of moisture and mechanical lo...
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Gennaro Salvatore Ponticelli, Marianna Gallo, Ilaria Cacciotti, Oliviero Giannini, Stefano Guarino, Andrea Budelli and Roberto Nigro
Modelling and predicting of the kinetics of microbial growth and metabolite production during the fermentation process for functional probiotics foods development play a key role in advancing and making such biotechnological processes suitable for large-...
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Lan Wang, Mingjiang Xie, Min Pan, Feng He, Bing Yang, Zhigang Gong, Xuke Wu, Mingsheng Shang and Kun Shan
Harmful algal blooms (HABs) have been deteriorating global water bodies, and the accurate prediction of algal dynamics using the modelling method is a challenging research area. High-frequency monitoring and deep learning technology have opened up new ho...
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