And Schafmeister isn’t the only chemist turning to modular methods of synthesis to explore vast regions of chemical space. It ...

This article is a conceptual contribution that derives its construct from interdisciplinary literature rather than from new empirical data. The dominant resolution paradigm in grief theory—which ...

Speeding up model training involves more than kernel tuning. Data loading frequently slows down training, because datasets are too large to fit on disk, consist of millions of small files, or stream ...

Abstract: Image processing, especially industrial image processing, plays an important role in the fourth industrial revolution. Wavelet transform as a powerful image processing algorithm enables ...

The function allows users to engage in an interactive video conversation with the AI technology behind the chatbot, according to an announcement last Friday via Doubao’s WeChat account. Users can ...

This study investigates the robustness of deep learning-based steganalysis models against common image transformations because most literature has not paid enough attention to resilience assessment.

Image processing operations can be implemented in various ways, each with its own performance characteristics depending on the image type, size, and number of channels. Albucore aims to provide the ...

Consider walking along a busy street and suddenly hearing heavy footsteps approaching behind you. Deciding whether to move aside to avoid an impending collision becomes more evident with the sound of ...