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Roberto Moraga-Díaz, Andrés Leiva-Araos and José García
In an era characterized by rapid technological advancements, economic fluctuations, and global competition, adaptability and resilience have become critical success factors for businesses navigating uncertainty and complexity. This article explores the r...
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Vamsheedhar Reddy Pillareddy and Ganesh Reddy Karri
Cloud computing is a prominent approach for complex scientific and business workflow applications in the pay-as-you-go model. Workflow scheduling poses a challenge in cloud computing due to its widespread applications in physics, astronomy, bioinformatic...
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Eleonora Congiu, Giuseppe Desogus, Caterina Frau, Gianluca Gatto and Stefano Pili
In this paper, we present the final results from the research project ?Urban Abacus of Building Energy Performances (Abaco Urbano Energeticodegli Edifci?AUREE)? aimed at supporting the renovation process and energy efficiency enhancement of urban buildin...
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Ashtad Javanmardi, Chuanni He, Simon M. Hsiang, S. Alireza Abbasian-Hosseini and Min Liu
This research aims to determine the appropriate level of effort required for each step of the Observe?Plan?Do?Check?React (OPDCA) cycle to improve the workflow reliability of a construction project. Empirical data on detailed weekly meeting minutes over ...
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Xiaobo Zhang, Huashun Li, Jingzhao Li and Xuehai Zhou
The rapid and accurate detection of orthopedic medical devices is pivotal in enhancing health care delivery, particularly by improving workflow efficiency. Despite advancements in medical imaging technology, current detection models often fail to meet th...
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Kun Kang, Qishen Chen, Kun Wang, Yanfei Zhang, Dehui Zhang, Guodong Zheng, Jiayun Xing, Tao Long, Xin Ren, Chenghong Shang and Bojing Cui
In the context of globalization in the mining industry, assessing the production feasibility of mining projects by smart technology is crucial for the improvement of mining development efficiency. However, evaluating the feasibility of such projects face...
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Xulong Yu, Qiancheng Yu, Qunyue Mu, Zhiyong Hu and Jincai Xie
Traditional manual visual detection methods are inefficient, subjective, and costly, making them prone to false and missed detections. Deep-learning-based defect detection identifies the types of defects and pinpoints their locations. By employing this a...
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Athanasios Kallipolitis, Kyriakos Revelos and Ilias Maglogiannis
The extended utilization of digitized Whole Slide Images is transforming the workflow of traditional clinical histopathology to the digital era. The ongoing transformation has demonstrated major potentials towards the exploitation of Machine Learning and...
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Athanasios Koukofikis and Volker Coors
Moving into the third decade of the 21st century, smart cities are becoming a vital concept of advancement of the quality of life. Without any doubt, cities today can generate data of high velocity which can be used in plethora of applications. The wind ...
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Carla Iadanza, Alessandro Trigila, Paolo Starace, Alessio Dragoni, Tommaso Biondo and Marco Roccisano
The new national IdroGEO web platform allows the navigation, social sharing and download of data, maps, reports of the Italian Landslide Inventory, national hazard maps, and risk indicators. It is a tool for communication and dissemination of information...
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