With the rapid increase in the complexity of modern engineeringsystems and scientific computing problems, Large-Scale Expensive Optimization Problems (LSEOPs) have become a core challenge in the field of optimization...
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ISBN:
(数字)9798331520298
ISBN:
(纸本)9798331520304
With the rapid increase in the complexity of modern engineeringsystems and scientific computing problems, Large-Scale Expensive Optimization Problems (LSEOPs) have become a core challenge in the field of optimization. Traditional Evolutionary Algorithms (EAs) encounter the "curse of dimensionality" in high-dimensional scenarios, and most of the existing Surrogate-Assisted Evolutionary Algorithms (SAEAs) are designed for low-dimensional problems and struggle to adapt to the characteristics of high-dimensional data. In this paper, a Cross Strategy-Based Agent-Assisted Multi-Population Particle Swarm Optimization algorithm (CS-AAMPSO) is proposed to improve the efficiency and robustness of methods for working out LSEOPs, and the experimental results show that the performance is improved to some extent.
An artificial intelligence (AI) system works by combining a computer program and algorithms to make a device more efficient and intelligent for tasks that are typically performed by humans. Deep learning, machine lear...
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ISBN:
(数字)9798331513894
ISBN:
(纸本)9798331513900
An artificial intelligence (AI) system works by combining a computer program and algorithms to make a device more efficient and intelligent for tasks that are typically performed by humans. Deep learning, machine learning, conventional neural networks, recognition, and fuzzy logic are a few of the subsets of AI with unique capabilities and functions that can enhance modern medical science. Such innovations simplify human interference in clinical diagnostic procedures, decision making, and medical imaging. To improve human health, connected biomedical network devices and software applications are interconnected to form the Internet of Medical Things (IoMT), the next generation of bioanalytical tools. This review paper provides in-depth analysis of the IoMT encasing its definition, technologies, applications, challenges, and future prospects.
Control systems are crucial for the proper performance of different devices. Some applications, such as wind turbines, sometimes require complex controllers to achieve maximum efficiency. This leads to a demand for ve...
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Modern transportation systems face growing challenges in managing traffic flow, ensuring safety, and maintaining operational efficiency amid dynamic traffic patterns. Addressing these challenges requires intelligent s...
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ISBN:
(数字)9798331533366
ISBN:
(纸本)9798331533373
Modern transportation systems face growing challenges in managing traffic flow, ensuring safety, and maintaining operational efficiency amid dynamic traffic patterns. Addressing these challenges requires intelligent solutions capable of real-time monitoring, predictive analytics, and adaptive control. This paper proposes an architecture for DigIT, a Digital Twin (DT) platform for Intelligent Transportation systems (ITS), designed to overcome the limitations of existing frameworks by offering a modular and scalable solution for traffic management. Built on a Domain Concept Model (DCM), the architecture systematically models key ITS components enabling seamless integration of predictive modeling and simulations. The architecture leverages machine learning models to forecast traffic patterns based on historical and real-time data. To adapt to evolving traffic patterns, the architecture incorporates adaptive Machine Learning Operations (MLOps), automating the deployment and lifecycle management of predictive models. Evaluation results highlight the effectiveness of the architecture in delivering accurate predictions and computational efficiency.
The Gossip algorithm is a decentralized commu-nication algorithm primarily used to address information dis-semination and consistency issues in distributed systems. The Gossip protocol, with its significant distribute...
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ISBN:
(数字)9798331522216
ISBN:
(纸本)9798331522223
The Gossip algorithm is a decentralized commu-nication algorithm primarily used to address information dis-semination and consistency issues in distributed systems. The Gossip protocol, with its significant distributed characteristics and advantages, has been widely applied in critical domains such as fault detection, resource allocation, global search, and robot operating system node communication. However, compared to traditional non-decentralized algorithms, the Gossip algorithm tends to generate more message redundancy during the infor-mation dissemination process, which to some extent impacts its communication efficiency. To address this issue, we propose a universal expectation-based dynamically adjusted Gossip op-timization algorithm that optimizes the message redundancy in the Gossip algorithm during the information dissemination process. This method effectively controls message redundancy by dynamically adjusting the number of message forwarding, denoted as K, in the Gossip algorithm. The experimental results show that in the three scenarios we compared, the message redundancy was reduced by 16.40% to 46.06%, and the original characteristics of the Gossip algorithm were not compromised. The code and experimental results in the paper are all open source.
Condition monitoring (CM) devices are crucial for predictive maintenance (PdM) across industries. Despite their commercial availability, the use of CM devices in small-to medium-scale industries remains low because of...
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Industry 4.0 and the accompanying digital transformation of the modern-day factory have led to various advances in manufacturing. Shop floor management (SFM) - a core instrument of production management - has to align...
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We present a generalizable novel view synthesis method which enables modifying the visual appearance of an observed scene so rendered views match a target weather or lighting condition, without any scene specific trai...
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In this paper, we address three core problems in the layout synthesis of multi-row standard cells: transistor folding, row partitioning, and transistor placement. We propose a comprehensive solution to the problem of ...
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