Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
Abstract: This paper proposes a model-based deep reinforcement learning (DRL) framework to maximize the total power output and minimize the fatigue load of a floating offshore wind farm subject to ...
Merely days after OpenAI released its Sora 2 AI video generator app, which quickly went viral for some pretty morbid reasons, Google is giving a lift to its own AI video tools. The company’s Flow ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Figure 1 illustrates the overall workflow of the hyperspectral ...
Since the inception of Next Gen Stats, we have relied on the basic logic of crediting a target in coverage to the closest defender to the receiver when the pass arrives. This method was directionally ...
This project demonstrates building a deep learning classification model using TensorFlow/Keras to predict whether an Initial Public Offering (IPO) will list at a profit or loss. The dataset contains ...
Abstract: The use of deep learning (DL) in medical image analysis has significantly improved the ability to predict lung cancer. In this study, we introduce a novel deep convolutional neural network ...
Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...
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