This study addresses the influence of geopolitical risks on financial markets, as noticed in recent events like the COVID-19 pandemic and the Russia-Ukraine war. This study showcases a model combining financial indice...
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Safety of railway is the major problem worldwide. It has problems like cracks or any fault in the railway tracks. These problems can cause severe accidents if it is not detected regularly and early. In traditional fau...
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Wind turbine generators, which convert wind energy into electricity, require particularly crucial inspection of their internal blade cavities. To achieve precise inspection of the internal blade cavities, a quadcopter...
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License plate location is one of the key technologies of license plate recognition. The location and detection of license plate is greatly affected by driving direction, weather anomaly, lighting and other factors, an...
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Vector graphics are very common in the field of graphic design, and their characteristics allow them to be fully utilized in scenarios that require flexibility and clarity. In order to meet the need for vectorization ...
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The purpose of this study is to investigate the importance of momentum in tennis and how it can be effectively utilized to account for fluctuations in the game. First, player performance is quantified based on a logis...
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The development of proposed deepfake detection techniques plays a prominent role in the safeguarding the multimedia information. The various challenges are addressed using the aid of deep learning techniques. This inv...
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The release of ChatGPT heralds a new era in artificial intelligence, as large language models (LLMs) empower myriad industries. This paper introduces RSChat, a model based on supervised fine-tuning of multiple large l...
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Our brains can readily identify what a picture is about when we view it, but doing it for a machine was thought to be impossible. However, employing computer vision’s visual recognition characteristics is now achieva...
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Deep neural networks excel in remote sensing image semantic segmentation, but existing methods, despite their sophistication, often focus on channel and spatial dependencies within identical feature maps. This can lea...
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