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Aref Maksoud, Aya Elshabshiri, Amani Saeed Hilal Humaid Alzaabi and Aseel Hussien
The study aims to understand to what extent employing A.I. image-generative tools in architectural concept brainstorming demonstrates effectiveness, accuracy, and adherence to text and image inputs, and evaluate the utilization of A.I. image-generative t...
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Haoyu Tai, Yonghua Xia, Xiangrong He, Xuequn Wu, Chen Li, Min Yan, Xiali Kong and Minglong Yang
With the rapid development of the geographic information service industry, point cloud data are widely used in various fields, such as architecture, planning, cultural relics protection, mining engineering, etc. Despite that there are many approaches to ...
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Setareh Ghaychi Afrouz, Alireza Farzampour, Zahra Hejazi and Masoud Mojarab
The Tehran metropolitan area is extremely vulnerable to earthquakes due to the location of its active faults and its dense population. Assessing the probable damage of a high magnitude earthquake on buildings and facilities relies on a precise structural...
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Zejun Zuo, Lin Yang, Xiaoya An, Wenjie Zhen, Haoyue Qian and Songling Dai
The primary objective of vectorial road network matching is to identify homonymous roads from two different data sources. Previous methods usually focus on matching road networks with the same coordinate system but rarely with different or unknown coordi...
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This paper presents a correction methodology for Long Short Term Memory (LSTM) based speech recognition. A strategy that validates with a reference database was developed for LSTM. It is conceptually simple but requires a large keyword database to match ...
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Bo Wan, Lin Yang, Shunping Zhou, Run Wang, Dezhi Wang and Wenjie Zhen
The road-network matching method is an effective tool for map integration, fusion, and update. Due to the complexity of road networks in the real world, matching methods often contain a series of complicated processes to identify homonymous roads and dea...
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