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Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow...
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Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac...
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Mazen A. Al-Sinan, Abdulaziz A. Bubshait and Zainab Aljaroudi
Recent advancements in machine learning (ML) applications have set the stage for the development of autonomous construction project scheduling systems. This study presents a blueprint to demonstrate how construction project schedules can be generated aut...
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Linghui Kong, Haizhong Qian, Yuqing Wu, Xinyu Niu, Di Wang and Zhekun Huang
Building outlines are important for emergency response, urban planning, and change analysis and can be quickly extracted from remote sensing images and raster maps using deep learning technology. However, such building outlines often have irregular bound...
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Wende Li, Haowen Yan, Xiaomin Lu and Yilang Shen
Building displacement is a common operation to resolve the spatial conflicts between map features, and it has important theoretical value and practical application significance for multi-scale mapping. The prerequisite for a successful displacement opera...
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Shenren Xu, Qian Zhang, Dingxi Wang and Xiuquan Huang
Precise and inexpensive uncertainty quantification (UQ) is crucial for robust optimization of compressor blades and to control manufacturing tolerances. This study looks into the suitability of MC-adj-nonlinear, a nonlinear adjoint-based approach, to pre...
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Xianjin He, Min Deng and Guowei Luo
Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for building group pattern recognition, there is sti...
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Renjian Zhai, Anping Li, Jichong Yin, Jiawei Du and Yue Qiu
Building simplification is an important research area in automatic map generalization. Up to now, many approaches have been proposed by scholars. However, in the continuous transformation of scales for buildings, keeping the main shape characteristics, a...
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Baydaa Hashim Mohammed, Hasimi Sallehuddin, Elaheh Yadegaridehkordi, Nurhizam Safie Mohd Satar, Afifuddin Husairi Bin Hussain and Shaymaa Abdelghanymohamed
The process of integrating building information modeling (BIM) and Internet of Things (IoT)-based data sources is a recent development. As a generalization, BIM and IoT data provide complementary perspectives on the project that complement each other?s c...
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Martin Schorcht, Robert Hecht and Gotthard Meinel
We compare different matching methods for distinguishing building modifications from replacements based on multi-temporal building footprint geometries from 3D city models. Manually referenced footprints of building changes were used to determine which t...
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