Titlebook: Data Science and Artificial Intelligence; First International Chutiporn Anutariya,Marcello M. Bonsangue Conference proceedings 2023 The Ed

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Using the New YoLo Models in Detecting Small-Sized Objects in the Case of Rice Grains on Branche the grain quality. In identifying rice seeds, there are also some difficulties in separating components such as branches and spikes. The study uses a dataset of images of rice branches with differences in shape, state, and size. After the pre-processing steps, the obtained data has images of relati

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Improving Low Light Object Detection Using Image Enhancement Modelsoorly. We present a comparative study of various state-of-the-art image enhancement models for the purpose of facilitating object detection under low light. We also propose a new method for robust low-light object detection that shows substantial improvements over state-of-the-art baselines. The pro

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Data Science and Artificial Intelligence978-981-99-7969-1Series ISSN 1865-0929 Series E-ISSN 1865-0937

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978-981-99-7968-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor

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Conference proceedings 2023 full papers and the 4 short papers included in this volume were carefully reviewed and selected from 70 submissions.?This volume focuses on ideas, methodologies, and cutting-edge research that can drive progress and foster interdisciplinary collaboration in the fields of data science and artificial intelligence.

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