To solve the problem of low accuracy of remote sensing image registration caused by different image colors in multi-temporal conditions, a remote sensing image registration algorithm based on generative adversarial ne...
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Intelligent inspection of transmission lines by UAVs has become the mainstream of the industry, and insulator defect detection is a key part of the intelligent inspection operation. To address the problem of low accur...
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This paper proposes a method for generating and solving mazes using minimum spanning tree algorithms and parallelizing them using OpenMP. The approach involves generating a random maze using Prim’s and Kruskal's ...
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Task-oriented dialog model guides dialogue generation by identifying user intentions and incorporating external knowledge. The existing models based on end-to-end memory networks have two problems. First, most models ...
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Efficient and accurate fire and smoke detection systems are essential to prevent potential catastrophes, save lives, and minimize property damage. This research paper introduces an innovative solution that combines de...
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To address issues such as poor initial population diversity, low stability and local convergence accuracy, and easy local optima in the traditional Multi-Objective Artificial Hummingbird Algorithm (MOAHA), an Improved...
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To address issues such as poor initial population diversity, low stability and local convergence accuracy, and easy local optima in the traditional Multi-Objective Artificial Hummingbird Algorithm (MOAHA), an Improved MOAHA (IMOAHA) was proposed. The improvements involve Tent mapping based on random variables to initialize the population, a logarithmic decrease strategy for inertia weight to balance search capability, and the improved search operators in the territory foraging phase to enhance the ability to escape from local optima and increase convergence accuracy. The effectiveness of IMOAHA was verified through Matlab/Simulink. The results demonstrate that IMOAHA exhibits superior convergence, diversity, uniformity, and coverage of solutions across 6 test functions, outperforming 4 comparative algorithms. A Wilcoxon rank-sum test further confirmed its exceptional performance. To assess IMOAHA’s ability to solve engineering problems, an optimization model for a multi-track, multi-train urban rail traction power supply system with Supercapacitor Energy Storage Systems (SCESSs) was established, and IMOAHA was successfully applied to solving the capacity allocation problem of SCESSs, demonstrating that it is an effective tool for solving complex Multi-Objective Optimization Problems (MOOPs) in engineering domains.
With the rise of the Industrial Internet of Things (IIoT), Unmanned Aerial Vehicles (UAVs) have emerged as the preferred sensing tools for data collection. However, resource-constrained UAVs often face challenges in h...
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In the current era, social media has emerged as a very useful and reliable means of communication between different people and communities. However, with the leverage of communication platforms and billions of social ...
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The productivity and quality of crops are greatly influenced by various diseases and pests. These are one of a kind of natural disasters which affect the natural growth of plants and can even cause the death of the pl...
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Attackers commonly employ malicious URLs and harmful QR codes to spread malware and phishing scams;therefore, they need to be classified. Malicious URLs that lead visitors to phishing or malware-infected websites that...
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