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Azharul Islam and KyungHi Chang
Unstructured data from the internet constitute large sources of information, which need to be formatted in a user-friendly way. This research develops a model that classifies unstructured data from data mining into labeled data, and builds an information...
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Silvia Barbetta, Gabriele Coccia, Tommaso Moramarco and Ezio Todini
This work presents the application of the multi-temporal approach of the Model Conditional Processor (MCP-MT) for predictive uncertainty (PU) estimation in the Godavari River basin, India. MCP-MT is developed for making probabilistic Bayesian decision. I...
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Silvia Barbetta, Gabriele Coccia, Tommaso Moramarco, Ezio Todini
Pág. 1 - 25
This work presents the application of the multi-temporal approach of the Model Conditional Processor (MCP-MT) for predictive uncertainty (PU) estimation in the Godavari River basin, India. MCP-MT is developed for making probabilistic Bayesian decision. I...
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Kasper Gaj Nielsen, Inkyung Sung, Mohamed El Yafrani, Deniz Kenan Kiliç and Peter Nielsen
In this study, we tackle a key scheduling problem in a robotic arm-based food processing system, where multiple conveyors?an infeed conveyor that feeds food items to robotic arms and two tray lane conveyors, on which trays to batch food items are placed?...
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Kaining Shen, Lan Ding and Cynthia Changxin Wang
Decision-making on whole-life-cycle net-zero-carbon buildings is critical for addressing carbon emission and environmental problems. However, there is a lack of a data integration framework and an open international standard approach integrating key deci...
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Arman Alahyari, David Pozo and Meisam Farrokhifar
With the recent advent of technology within the smart grid, many conventional concepts of power systems have undergone drastic changes. Owing to technological developments, even small customers can monitor their energy consumption and schedule household ...
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Mahdi Naghshvarianjahromi, Shiva Kumar and M. Jamal Deen
The cyber processing layer of smart systems based on a cognitive dynamic system (CDS) can be a good solution for better decision making and situation understanding in non-Gaussian and nonlinear environments (NGNLE). The NGNLE situation understanding mean...
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Igor Nevliudov, Oleksandr Tsymbal, Artem Bronnikov, Olexandr Mordyk
Pág. 58 - 64
The subject of research in the article is the application of IOT technology in flexible integrated robotic systems. The goal of the work is to integrate IOT technology with models and decision-making methods in order to create an adaptive control system ...
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Abdelkader Baaziz,Luc Quoniam
Pág. 19 - 25
?Big Data is the oil of the new economy? is the most famous citation during the three last years. It has even been adopted by the World Economic Forum in 2011. In fact, Big Data is like crude! It?s valuable, but if unrefined it cannot be used. It must be...
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Célia Talma Gonçalves, Maria José Angélico Gonçalves and Maria Inês Campante
The rapid advance of business technologies in recent years has made knowledge an essential and strategic asset that determines the success or failure of an organisation. Access to the right information in real time and with high selectivity can be a comp...
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Xiaoyong Zhang, Wei Yue and Wenbin Tang
To enhance the anti-submarine and search capabilities of multiple Unmanned Aerial Vehicle (UAV) groups in complex marine environments, this paper proposes a flexible action-evaluation algorithm known as Knowledge-Driven Soft Actor-Critic (KD-SAC), which ...
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Qing Yang, Xu Sun, Xingxing Liu and Jinmei Wang
The urban rainstorm can evolve into a serious emergency, generally characterized by high complexity, uncertainty, and time pressure. It is often difficult for individuals to find the optimal response strategy due to limited information and time constrain...
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Mahanazuddin Syed, Shorabuddin Syed, Kevin Sexton, Hafsa Bareen Syeda, Maryam Garza, Meredith Zozus, Farhanuddin Syed, Salma Begum, Abdullah Usama Syed, Joseph Sanford and Fred Prior
Modern Intensive Care Units (ICUs) provide continuous monitoring of critically ill patients susceptible to many complications affecting morbidity and mortality. ICU settings require a high staff-to-patient ratio and generates a sheer volume of data. For ...
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DongSoon Park and Hojun You
This paper presents an innovative digital twin dam and watershed management platform, K-Twin SJ, that utilizes real-time data and simulation models to support decision-making for flood response and water resource management. The platform includes a GIS-b...
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Yan Li, Guozhou Wu, Shuai Zhang, Manchun Li, Beidou Nie and Zhenjie Chen
Wildfires spread rapidly and cause considerable ecological and socioeconomic losses. Inner Mongolia is among the regions in China that suffer the most from wildfires. A simple, effective model that uses fewer parameters to simulate wildfire spread is cru...
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Thomas Browne, Rocky Taylor, Brian Veitch, Pentti Kujala, Faisal Khan and Doug Smith
A risk assessment framework that supports Arctic voyage planning and real-time operational decision-making through assignment of operational criteria based on the likelihood of ice-induced damage and the potential consequences.
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Victor R. A. Cossich, Dave Carlgren, Robert John Holash and Larry Katz
We are currently witnessing an unprecedented era of digital transformation in sports, driven by the revolutions in Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), and Data Visualization (DV). These technologies hold the promis...
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Tiziana De Filippis, Leandro Rocchi, Giovanni Massazza, Alessandro Pezzoli, Maurizio Rosso, Mohamed Housseini Ibrahim and Vieri Tarchiani
Emerging hydrological services provide stakeholders and political authorities with useful and reliable information to support the decision-making process and develop flood risk management strategies. Most of these services adopt the paradigm of open data...
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Pier Francesco Giordano and Maria Pina Limongelli
One of the most interesting applications of Structural Health Monitoring (SHM) is the possibility of providing real-time information on the conditions of civil infrastructures during and following disastrous events, thus supporting decision-makers in pro...
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Yingjie Tang, Junmin Mou, Linying Chen and Yang Zhou
Through the continuous development of intellectualization, considering the lifecycle of ships, the future of a waterborne traffic system is bound to be a mixed scenario where intelligent ships of different autonomy levels co-exist, i.e., mixed waterborne...
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