Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...
It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...
Abstract: Recently, high-precision trajectory prediction of ballistic missile in the boost phase has become a research hotspot in missile defense system. This paper proposes a trajectory prediction ...
Abstract: Landslides inflict substantial societal and economic damage, underscoring their global significance as recurrent and destructive natural disasters. Recent landslides in northern parts of ...
Abstract: In recent years, Convolutional Neural Networks (CNNs) have emerged as powerful tools for solving complex real-world problems, particularly in the domain of image processing. The success of ...
Former first lady Michelle Obama lamented Wednesday that leaders don’t seem to move on from power as they age in the latest episode of her podcast. Speaking with CNN anchor Anderson Cooper on her "IMO ...
Introduction: Weeds represent a critical component of agricultural biodiversity and contribute to a range of ecosystem services, yet they remain a major constraint on global crop production. Remote ...
CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Abstract: Identifying the emotions hidden in speech (SER) encounters difficulties in virtue of the subjective and variable nature of human emotions, along with limitations such as data dependency, ...
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