IMAGING THROUGH TURBID MEDIA WITH VAGUE CONCENTRATIONS BASED ON COSINE SIMILARITY AND CONVOLUTIONAL NEURAL NETWORK

Imaging Through Turbid Media With Vague Concentrations Based on Cosine Similarity and Convolutional Neural Network

Underwater imaging has been extensively studied to bypass the limitation aroused by scattering and absorption of water solutions.It is highly meaningful to the development of optical imaging, especially in turbid media.The existing methods developed for reconstruction of original images from speckle patterns are applied in a stable medium, which ob

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Dynamic Species Distribution Modeling Reveals the Pivotal Role of Human-Mediated Long-Distance Dispersal in Plant Invasion

Plant invasions generate massive ecological and economic costs worldwide.Predicting their spatial dynamics is crucial to the design of effective management strategies and the prevention of invasions.Earlier studies highlighted the crucial role of long-distance dispersal in explaining the speed of many invasions.In addition, invasion speed depends h

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