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Thibaut Théate and Damien Ernst
Classical reinforcement learning (RL) techniques are generally concerned with the design of decision-making policies driven by the maximisation of the expected outcome. Nevertheless, this approach does not take into consideration the potential risk assoc...
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Ibrahim Alghamdi, Christos Anagnostopoulos and Dimitrios P. Pezaros
In recent years, there has been a significant increase in the use of mobile devices and their applications. Meanwhile, cloud computing has been considered as the latest generation of computing infrastructure. There has also been a transformation in cloud...
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Xiaoyuan Wang, Gang Wang, Quanzheng Wang, Junyan Han, Longfei Chen, Bin Wang and Huili Shi
As one of the key technologies restricting the development of intelligent ships, autonomous collision avoidance has attracted the attention of many scholars all over the world. Existing research on collision-avoidance behavior focuses more on collision r...
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Xiao Yang and Qilong Han
The avoidance of collisions among ships requires addressing various factors such as perception, decision-making, and control. These factors pose many challenges for autonomous collision avoidance. Traditional collision avoidance methods have encountered ...
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Zhiping Gao, Wenwen Kang, Xinghua Chen, Sheng Ding, Wei Xu, Degang He, Wenhu Chen and Da Xu
Advancements of the virtual power plant (VPP) concept have aggregated buildings as their power plants and/or service providers. This paper proposes a peer-to-peer transactive computation?electricity trading framework for multiple-building virtual power p...
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Tri Ika Ayuananda,Intiyas Utami
Pág. 213 - 226
The purpose of the research is to assess the primacy effect of the sequence for the manner of presentation and information formation on the audit decisions in revising the belief when the information is presented differently. The primacy effect is the de...
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Muhammad Shoaib Arif, Aiman Mukheimer and Daniyal Asif
Clinical decision-making in chronic disorder prognosis is often hampered by high variance, leading to uncertainty and negative outcomes, especially in cases such as chronic kidney disease (CKD). Machine learning (ML) techniques have emerged as valuable t...
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Zhenya Liu and Yuhao Mu
Investors decide the best time to take a given action by maximizing their utility function while taking into account current information and the underlying process in the optimal stopping model. Option pricing, sequential analysis, disorder problems, and...
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Ruifeng Luo, Yifan Wang, Weifang Xiao and Xianzhong Zhao
Truss layout optimization under complex constraints has been a hot and challenging problem for decades that aims to find the optimal node locations, connection topology between nodes, and cross-sectional areas of connecting bars. Monte Carlo Tree Search ...
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Jia Song, Xindi Tong, Xiaowei Xu and Kai Zhao
In this paper, a real-time reentry guidance law for hypersonic vehicles is presented to accomplish rapid, high-precision, robust, and reliable reentry flights by leveraging the Time to Vector (Time2vec) and transformer networks. First, referring to the t...
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Lingkai Yang, Sally McClean, Mark Donnelly, Kevin Burke and Kashaf Khan
Concept drift, which refers to changes in the underlying process structure or customer behaviour over time, is inevitable in business processes, causing challenges in ensuring that the learned model is a proper representation of the new data. Due to fact...
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Juri Hinz
In industrial applications, the processes of optimal sequential decision making are naturally formulated and optimized within a standard setting of Markov decision theory. In practice, however, decisions must be made under incomplete and uncertain inform...
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Sandip Dutta
With the rapid development of the autonomous world, local decision making between devices is becoming important. This article provides a new paradigm (Rock-Paper-Scissors-Hammer: RPSH) that can reduce the number of conflicts or decision draws and thus in...
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Tao Liu, Avishai (Avi) Ceder
Pág. 341 - 361
In the operations planning process of public transport (PT), timetable synchronization is a useful strategy utilized to reduce transfer waiting time and improve service connectivity. However, most of the studies on PT timetable synchronization design hav...
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Joep Crompvoets,Erik De Man,Tessa Geudens
Pág. 96 - 119
Assessing the economic value of spatial data is problematic for various reasons ? conceptual as well as operational. The paper argues that understanding the value of spatial data will benefit from the market discourse and salient conditions can be identi...
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Antonio Maci, Alessandro Santorsola, Antonio Coscia and Andrea Iannacone
Web phishing is a form of cybercrime aimed at tricking people into visiting malicious URLs to exfiltrate sensitive data. Since the structure of a malicious URL evolves over time, phishing detection mechanisms that can adapt to such variations are paramou...
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Aleksey I. Shinkevich, Tatyana V. Malysheva and Irina G. Ershova
The planning and management of traffic flow networks with multiple input data sources for decision-making generate the need for a mathematical approach. The program of measures for the development of the transport infrastructure of the Russian Federation...
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Eatedal Alabdulkreem, Jaber S. Alzahrani, Nadhem Nemri, Olayan Alharbi, Abdullah Mohamed, Radwa Marzouk and Anwer Mustafa Hilal
Presently, autonomous systems have gained considerable attention in several fields such as transportation, healthcare, autonomous driving, logistics, etc. It is highly needed to ensure the safe operations of the autonomous system before launching it to t...
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Juri Hinz
Recently, diverse concepts originating from blockchain ideas have gained increasing popularity. One of the innovations in this technology is the use of the proof-of-work (PoW) concept for reaching a consensus within a distributed network of autonomous co...
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Yolanda Christina Rambing,Intiyas Utami,Ika Kristianti
Pág. in press
This study aims to examine the recency effect that occurs due to the effect of sequences on long series audit information and test the effectiveness of mitigation by using group discussion to improve the decision quality. It consists of recency effect an...
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