PREDICTION OF SEA SURFACE CHLOROPHYLL-A CONCENTRATIONS BASED ON DEEP LEARNING AND TIME-SERIES REMOTE SENSING DATA

Prediction of Sea Surface Chlorophyll-a Concentrations Based on Deep Learning and Time-Series Remote Sensing Data

Accurate prediction of future chlorophyll-a (Chl-a) concentrations is of great importance for effective management and early warning of marine ecological systems.However, previous studies primarily focused on chlorophyll-a inversion and reconstruction, while methods for predicting Chl-a concentrations remain limited.To address this issue, we adopte

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Research on an Intelligent Classification Algorithm of Ferrography Wear Particles Based on Integrated ResNet50 and SepViT

The wear particle classification algorithm proposed is based on an integrated Other relays ResNet50 and Vision Transformer, aiming to address the problems of a complex background, overlapping and similar characteristics of wear particles, low classification accuracy, and the difficult identification of small target wear particles in the region.Firs

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Quantifying the Effects of the Inclusion and Segregation of Contracts for Difference in Australian Equity Markets

This study examines the effects that Contracts for Difference (CFDs) have had on the Australian equity market, either as an accelerant for mispricing, or as a source of increased market functionality through the addition of a new tradable Mug product and increased liquidity.The Australian Securities Exchange (ASX) made the decision to segregate CFD

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