A REMOTE SENSING IMAGE FUSION METHOD COMBINING LOW-LEVEL VISUAL FEATURES AND PARAMETER-ADAPTIVE DUAL-CHANNEL PULSE-COUPLED NEURAL NETWORK

A Remote Sensing Image Fusion Method Combining Low-Level Visual Features and Parameter-Adaptive Dual-Channel Pulse-Coupled Neural Network

Remote sensing image fusion can effectively solve the inherent contradiction between spatial resolution and spectral resolution of imaging systems.At present, the fusion methods of remote sensing images based on multi-scale transform usually set fusion rules according to local feature information and pulse-coupled neural network (PCNN), but there a

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Evaluation of Quantitative PCR (qPCR) Paenibacillus larvae Targeted Assays and Definition of Optimal Conditions for Its Detection/Quantification in Honey and Hive Debris

The application of quantitative PCR (qPCR) as a routine method to detect and enumerate Paenibacillus larvae in honey and hive debris could greatly speed up the estimation of prevalence and outbreak risk of the American foulbrood (AFB) disease of Apis mellifera.However, none of the qPCR tests described so far has been officially proposed as a standa

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Precision Public Health Initiatives in Cancer: Proceedings from the Transdisciplinary Conference for Future Leaders in Precision Public Health

Abstract Background Precision public health is an emergent field that requires transdisciplinary collaborations and leverages innovative approaches to improve population health.These opportunities have inspired a new generation of precision public health researchers.Despite burgeoning interest in precision public health, there are limited opportuni

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