20   Artículos

 
en línea
Ezra Wari, Weihang Zhu and Gino Lim    
This paper proposes a continuous state partially observable Markov decision process (POMDP) model for the corrosion maintenance of oil and gas pipelines. The maintenance operations include complex and extensive activities to detect the corrosion type, de... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Ezra Wari, Weihang Zhu and Gino Lim    
Corrosion is one of the major causes of failure in pipelines for transporting oil and gas products. To mitigate the impact of this problem, organizations perform different maintenance operations, including detecting corrosion, determining corrosion growt... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Huaixi Xing, Qinghua Xing and Kun Wang    
Current electronic warfare jammers and radar countermeasures are characterized by dynamism and uncertainty. This paper focuses on a decision-making framework of radar anti-jamming countermeasures. The characteristics and implementation process of radar i... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Shaowei Li, Yongchao Wang, Yaoming Zhou, Yuhong Jia, Hanyue Shi, Fan Yang and Chaoyue Zhang    
Multiple unmanned aerial vehicle (multi-UAV) cooperative air combat, which is an important form of future air combat, has high requirements for the autonomy and cooperation of unmanned aerial vehicles. Therefore, it is of great significance to study the ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Bisni Fahad Mon, Asma Wasfi, Mohammad Hayajneh, Ahmad Slim and Najah Abu Ali    
The utilization of reinforcement learning (RL) within the field of education holds the potential to bring about a significant shift in the way students approach and engage with learning and how teachers evaluate student progress. The use of RL in educati... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Shao Xuan Seah and Sutthiphong Srigrarom    
This paper explores the use of deep reinforcement learning in solving the multi-agent aircraft traffic planning (individual paths) and collision avoidance problem for a multiple UAS, such as that for a cargo drone network. Specifically, the Deep Q-Networ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zuopeng Li, Hengshuai Ju and Zepeng Ren    
The existing research on dependent task offloading and resource allocation assumes that edge servers can provide computational and communication resources free of charge. This paper proposes a two-stage resource allocation method to address this issue. I... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Sheng Yu, Wei Zhu and Yong Wang    
Wargames are essential simulators for various war scenarios. However, the increasing pace of warfare has rendered traditional wargame decision-making methods inadequate. To address this challenge, wargame-assisted decision-making methods that leverage ar... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Angeliki Zacharaki, Ioannis Kostavelis and Ioannis Dokas    
During the last decades, collaborative robots capable of operating out of their cages are widely used in industry to assist humans in mundane and harsh manufacturing tasks. Although such robots are inherently safe by design, they are commonly accompanied... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Luca Pasqualini and Maurizio Parton    
A Pseudo-Random Number Generator (PRNG) is any algorithm generating a sequence of numbers approximating properties of random numbers. These numbers are widely employed in mid-level cryptography and in software applications. Test suites are used to evalua... ver más
Revista: Algorithms    Formato: Electrónico

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