Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...
Corn is one of the world's most important crops, critical for food, feed, and industrial applications. In 2023, corn ...
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BERT demystified: Explained simply for beginners
In this video, we break down BERT (Bidirectional Encoder Representations from Transformers) in the simplest way possible—no ...
Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...
We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
ABSTRACT: To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net ...
- Driven by the **output**, attending to the **input**. - Each word in the output sequence determines which parts of the input sequence to attend to, forming an **output-oriented attention** mechanism ...
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ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...
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