UNDERWATER OBJECT SEGMENTATION BASED ON OPTICAL FEATURES

Underwater Object Segmentation Based on Optical Features

Underwater optical environments are seriously affected by various optical inputs, such as artificial light, sky light, and ambient scattered light.The latter two can block underwater object segmentation tasks, since they inhibit the emergence of objects of interest and distort image information, while artificial light can contribute to segmentation

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Pergeseran Watak dan Pesan Moral Cerita Bawang Merah dan Bawang Putih Pada Era Digital (Shifting Character and Moral Message of Bawang Merah and Bawang Putih Stories in the Digital Age)

This study describes the shift in character and morals of Bawang Putih and Bawang Merah stories in the Digital Age.Data were collected by reading and listening to stories and recording the required data.The data were validated by triangulation theory and the accuracy of the researchers.Furthermore, the data were analyzed using a comparative techniq

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Improving the Forecasting Performance of Taiwan Car Sales Movement Direction Using Online Sentiment Data and CNN-LSTM Model

The automotive industry is the leading producer of machines in Taiwan and worldwide.Developing effective methods for forecasting car sales can allow car companies to arrange their production and sales plans.Capitalizing on the growth of social media and deep learning algorithms, this research aimed to improve the overall performance of the forecast

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