This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in modern work environments that require processing large amounts of complex data ...
Abstract: Oriented object detection refers to the process of using oriented bounding boxes to localize and identify objects. Oriented R-CNN is a classic oriented two-stage detection method, which is ...
Evan Cheng didn’t just build another blockchain when he created Sui. He engineered a paradigm shift. Over the past year, Sui, one of the darlings of the bull market, has blown past $1.5 billion in ...
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There are three pillars of object-orientation that ensure the development of modular, maintainable, and extensible systems. These pillars include inheritance, encapsulation, and polymorphism. The ...
Abstract: Oriented object detection is an important research topic in remote sensing. The detection of oriented objects in remote sensing images remains a daunting challenge due to their complex ...
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