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This paper explores the design approach of multi-atrium configurations to improve the energy efficiency of shopping malls in cold climates. A typical building prototype in northern China was considered, and an artificial neural network (ANN)-based metamodel was developed with four design...
Limited by the climate, economic level and energy-saving awareness of rural residents in the western China, rural houses are still in a stage of high energy consumption (EC) and low comfort. The passive design strategies should be given priority to provide an optimal design mode. The challenge...
This study suggests a natural language processing framework for collecting, analyzing, and, visualizing online natural language data, consisting of a web crawler for data collection, tokenizer for text preprocessing, Word2vec for word embedding, and deep-learning long short-term memory networks...
The paper examines how emotional reactions (spiritual sense) to colour within religious architectural like mosque can be empirically measured and the best colour palette for mosques proposed. First, the concept of colour and its status in the Nasir Al-Molk mosque is defined based on a...
Due to the increasing amount of time that people are spending indoors, the need to ensure adequate ventilation has become a priority. The confirmed airborne transmission of COVID-19 highlights the necessity to consider the effect of ventilation on the reduction of the infection risk. In...
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