SEISMIC RANDOM NOISE ATTENUATION USING DARE U-NET

Seismic Random Noise Attenuation Using DARE U-Net

Seismic data processing plays a pivotal role in extracting valuable subsurface information for various geophysical applications.However, seismic records often suffer from inherent random noise, which obscures meaningful geological hellfire sloe gin features and reduces the reliability of interpretations.In recent years, deep learning methodologies

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Comprehensive genome-wide analysis of calmodulin-binding transcription activator (CAMTA) in Durio zibethinus and identification of fruit ripening-associated DzCAMTAs

Abstract Background Fruit ripening is an intricate developmental process driven by a highly coordinated action of complex hormonal networks.Ethylene is considered as the main phytohormone that here regulates the ripening of climacteric fruits.Concomitantly, several ethylene-responsive transcription factors (TFs) are pivotal components of the regula

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