This paper presents a novel method for optimizing meteorological sensor placement over large geographic areas, leveraging genetic algorithm (GA) and classified Light Detection And Ranging (LiDAR) data. The airborne Li...
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Delay-sensitive applications are becoming more and more in demand as a result of the development of information systems and the expansion of communication in cloud computing technologies. Some of these requests will b...
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Web decentralization has the potential to radically change the way we produce, store, and manage data. Much of the focus of decentralization has been on blockchain tech-nologies which have high energy requirements. An...
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Recent research has focused on exploring uncrewed aerial vehicle (UAV)-to-ground communication channels, leading to the development of new fading channel models that incorporate both fading and shadowing phenomena. It...
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When flying a satellite, various operations on-board the satellite require determining quite a precise orientation to properly function, such as Earth or Sun observation, downlink communication and similar. This resul...
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The integration of drone technology and Artificial Intelligence (AI) has opened up new possibilities for wildlife conservation and habitat monitoring. In this paper, we present a new system for efficiently and accurat...
Generative AI (GenAI) chatbots have taken the world by storm with their ability to summarize information and produce complex natural language *** the same time, the demand for computerscience education has grown *** ...
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Underwater images often exhibit severe color deviations and degraded visibility,which limits many practical applications in ocean *** extensive research has been conducted into underwater image enhancement,little of w...
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Underwater images often exhibit severe color deviations and degraded visibility,which limits many practical applications in ocean *** extensive research has been conducted into underwater image enhancement,little of which demonstrates the significant robustness and generalization for diverse real-world underwater *** this paper,we propose an adaptive color correction algorithm based on the maximum likelihood estimation of Gaussian parameters,which effectively removes color casts of a variety of underwater images.A novel algorithm using weighted combination of gradient maps in HSV color space and absolute difference of intensity for accurate background light estimation is proposed,which circumvents the influence of white or bright regions that challenges existing physical model-based *** enhance contrast of resultant images,a piece-wise affine transform is applied to the transmission map estimated via background light ***,with the estimated background light and transmission map,the scene radiance is recovered by addressing an inverse problem of image formation *** experiments reveal that our results are characterized by natural appearance and genuine color,and our method achieves competitive performance with the state-of-the-art methods in terms of objective evaluation metrics,which further validates the better robustness and higher generalization ability of our enhancement model.
Considering the advancements in autonomous driving technologies, the necessity for an advanced driver assistance system (ADAS) to incorporate a multitude of sensors for enhanced precision has become paramount. Consequ...
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In order to address the convergence issues faced by traditional multi-objective optimization algorithms as the number of objectives increases, this paper proposes a new optimization algorithm, MaOEA-SPC, based on the ...
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