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- research-articleDecember 2024
Few shot intelligent assessment method for compaction quality of earthwork considering uncertainty
Expert Systems with Applications: An International Journal (EXWA), Volume 256, Issue Chttps://doi.org/10.1016/j.eswa.2024.125000AbstractCurrent practices lack reliable models for continuously assessing compaction quality from limited data, which hinders effective compaction quality control and the acceptance of earthwork. Using material source parameters as inputs for assessment ...
- review-articleOctober 2024
Intelligent ship collision avoidance in maritime field: A bibliometric and systematic review
Expert Systems with Applications: An International Journal (EXWA), Volume 252, Issue PAhttps://doi.org/10.1016/j.eswa.2024.124148Highlights- We conducted a quantitative analysis of intelligent SCA technology over the past 20 years using bibliometric methods and data portrait techniques and traced earlier literature for a systematic review.
- We identified the hotspots and ...
With the increasing promotion of digital technology, safety issues faced by rush ships in the maritime industry have once again received attention. Ship collision avoidance (SCA) is not only a hot topic in the shipping industry but also an eye-...
- research-articleOctober 2024
Deep reinforcement learning for PID parameter tuning in greenhouse HVAC system energy Optimization: A TRNSYS-Python cosimulation approach
- Misbaudeen Aderemi Adesanya,
- Hammed Obasekore,
- Anis Rabiu,
- Wook-Ho Na,
- Qazeem Opeyemi Ogunlowo,
- Timothy Denen Akpenpuun,
- Min-Hwi Kim,
- Hyeon-Tae Kim,
- Bo-Yeong Kang,
- Hyun-Woo Lee
Expert Systems with Applications: An International Journal (EXWA), Volume 252, Issue PAhttps://doi.org/10.1016/j.eswa.2024.124126AbstractThe control of indoor temperature in greenhouses is crucial as it directly impacts the crop's thermal comfort and the performance of heating, ventilation, and air-conditioning (HVAC) systems. Conventional feedback controllers, like on/off, can ...
- research-articleSeptember 2024
Learning optimal edge processing with offloading and energy harvesting
Computer Communications (COMS), Volume 225, Issue CPages 324–338https://doi.org/10.1016/j.comcom.2024.07.009AbstractModern portable devices can execute increasingly sophisticated AI models on sensed data. The complexity of such processing tasks is data-dependent and has relevant energy cost. This work develops an Age of Information Markovian model for a system ...
- review-articleMay 2024
Autonomous driving system: A comprehensive survey
- Jingyuan Zhao,
- Wenyi Zhao,
- Bo Deng,
- Zhenghong Wang,
- Feng Zhang,
- Wenxiang Zheng,
- Wanke Cao,
- Jinrui Nan,
- Yubo Lian,
- Andrew F. Burke
Expert Systems with Applications: An International Journal (EXWA), Volume 242, Issue Chttps://doi.org/10.1016/j.eswa.2023.122836AbstractAutomation is increasingly at the forefront of transportation research, with the potential to bring fully autonomous vehicles to our roads in the coming years. This comprehensive survey provides a holistic look at the essential components and ...
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- research-articleMay 2024
Discrete-time Markov decision process for performance analysis of virtual machine allocation schemes in C-RAN
Journal of Network and Computer Applications (JNCA), Volume 225, Issue Chttps://doi.org/10.1016/j.jnca.2024.103859AbstractCloud Radio Access Network (C-RAN) has been proposed as a cloud architecture to provide a common connected resource pool management. It separates the functionalities of the traditional Base Station (BS) into two parts: the Base Band Unit (BBU) ...
- research-articleMay 2024
Joint mode selection and resource allocation for cellular V2X communication using distributed deep reinforcement learning under 5G and beyond networks
Computer Communications (COMS), Volume 221, Issue CPages 54–65https://doi.org/10.1016/j.comcom.2024.04.015AbstractVehicle-to-everything (V2X) communication via cellular networks is a promising technique for 5G and beyond networks. The cars interact directly with one another, as well as with the infrastructure and various vehicles on the road, in this mode. ...
- research-articleApril 2024
Adaptive solving strategy synthesis for symbolic execution
Journal of Software: Evolution and Process (WSMR), Volume 36, Issue 4https://doi.org/10.1002/smr.2568SummaryConstraint solving is the enabling technique for symbolic execution. The advancement of constraint solving boosts the development and application of symbolic execution. Modern Satisfiability Modulo Theories (SMT) solvers provide the mechanism of ...
- research-articleJanuary 2024
Dual network control system for bottom hole throttling pressure control based on RBF with big data computing
International Journal of Data Mining and Bioinformatics (IJDMB), Volume 28, Issue 3-4Pages 365–380https://doi.org/10.1504/ijdmb.2024.139459In the context of smart city development, the managed pressure drilling (MPD) drilling process faces many uncertainties, but the characteristics of the process are complex and require accurate wellbore pressure control. However, this process runs the ...
- research-articleNovember 2023
Optimized transmit antenna selection and self-attention based convolutional resource allocation model for massive MIMO technology
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 235, Issue Chttps://doi.org/10.1016/j.comnet.2023.109948AbstractMassive multiple input and multiple output (MIMO) plays an important role in enhancing the transmission reliability and capacity of the transmitting channel. However, the resource allocation (RA) and transmit antenna selection (TAS) scheme are ...
- review-articleSeptember 2023
Applications of Reinforcement Learning for maintenance of engineering systems: A review
Advances in Engineering Software (ADES), Volume 183, Issue Chttps://doi.org/10.1016/j.advengsoft.2023.103487Highlights- Literature review of systems maintenance through Reinforcement Learning.
- ...
Nowadays, modern engineering systems require sophisticated maintenance strategies to ensure their correct performance. Maintenance has become one of the most important tasks of the systems lifecycle. This paper presents a literature ...
- research-articleSeptember 2023
Model-based Bayesian reinforcement learning for enhancing primary user performance under jamming attack
AbstractDue to the broadcast nature of wireless networks, jamming attacks are inevitable. Therefore, this paper considers enhancing the throughput of a primary user (PU) suffering from a random jamming attack near the receiver in a cognitive ...
- ArticleJuly 2023
Rescheduling Exams Within the Announced Tenure Using Reinforcement Learning
Multi-disciplinary Trends in Artificial IntelligencePages 569–579https://doi.org/10.1007/978-3-031-36402-0_53AbstractThe academic examinations are scheduled as per the academic calendar. However, due to the occurrence of unprecedented events the exam schedule will get disturbed which in turn impacts the academic calendar. In this paper, we propose a temporally ...
- rapid-communicationJuly 2023
Interval dominance based structural results for Markov decision process
Automatica (Journal of IFAC) (AJIF), Volume 153, Issue Chttps://doi.org/10.1016/j.automatica.2023.111024AbstractStructural results impose sufficient conditions on the model parameters of a Markov decision process (MDP) so that the optimal policy is an increasing function of the underlying state. The classical assumptions for MDP structural results require ...
- research-articleJune 2023
Offline reinforcement learning for industrial process control: A case study from steel industry
Information Sciences: an International Journal (ISCI), Volume 632, Issue CPages 221–231https://doi.org/10.1016/j.ins.2023.03.019AbstractFlatness is a crucial indicator of strip quality that presents a challenge in regulation due to the high-speed process and the nonlinear relationship between flatness and process parameters. Conventional methods for controlling ...
- research-articleMay 2023
Novel Data Transmission Schemes for Inter-WBAN Networks Using Markov Decision Process
Wireless Personal Communications: An International Journal (WPCO), Volume 131, Issue 2Pages 897–919https://doi.org/10.1007/s11277-023-10460-xAbstractThis work proposes a stochastic model of the coordinator units of each wireless body area network (WBAN) in a multi-WBAN scenario. In a Smart Home environment, multiple patients can come into the vicinity of each other while each of them is ...
- research-articleMay 2023
Who Is Next: Patient Prioritization Under Emergency Department Blocking
In “Who Is Next: Patient Prioritization Under Emergency Department Blocking,” Li, Sun, and Hong study how physicians and nurses choose the next patient for treatment in hospital emergency departments (EDs). Using data from a tertiary hospital in Alberta, ...
Upon arrival at emergency departments (EDs), patients are classified into different triage levels indicating their urgency. Using data from a large hospital in Canada, we find that, within the same triage level, the average waiting time (time from triage ...
- research-articleApril 2023
Multi-provider NFV network service delegation via average reward reinforcement learning
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 224, Issue Chttps://doi.org/10.1016/j.comnet.2023.109611AbstractIn multi-provider 5G/6G networks, service delegation enables administrative domains to federate in provisioning NFV network services. Admission control in selecting the appropriate domain for service deployment, without prior knowledge ...
- research-articleMarch 2023
Allocation of edge computing tasks for UAV-aided target tracking
Computer Communications (COMS), Volume 201, Issue CPages 123–130https://doi.org/10.1016/j.comcom.2023.01.021AbstractUnmanned Aerial Vehicle (UAV)-aided target tracking has been applied to many practical scenarios such as search and rescue missions. Edge computing has emerged as a promising solution to improve the performance of UAV-aided target tracking and to ...
- research-articleMay 2023