Borehole heat exchanger-assisted underground thermal energy storage systems are increasingly employed to enhance the reliability of renewable and geothermal energy supply, yet their operational effectiveness is constrained by complex and nonlinear in... read more
Object detection in sports videos serves as a fundamental task for applications such as intelligent broadcasting, tactical analysis, and athlete tracking. Existing methods face two critical challenges when processing sports scenarios: (1) Motion blur... read more
The quick expansions of e-commerce have increased competition, made client retention and repurchased predictions vital for sustainable corporate success. Traditional Deep Learning (DL) algorithms frequently fall short of collecting complex behavioral... read more
Transendothelial migration (TEM), is a complex, multistep process impacted by diseases like autoimmune disorders and cancer. Deciphering aspects of the process enhances our understanding and possibilities for disease treatments. The extent to which t... read more
This study develops an intelligent e-commerce talent demand prediction system built on a hybrid Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) architecture, designed to support vocational college program optimization under China... read more
The differentiation between pathological subtypes of non-small cell lung cancer (NSCLC) is an essential step in guiding treatment options and prognosis. However, current clinical practice relies on multi-step staining and labelling processes that are... read more
Assessing students' learning outcomes and abilities has always been a key link for English translation education in universities. However, traditional evaluation methods often face problems such as strong subjectivity and long time consumption, and i... read more
Predicting cryptocurrency price movements using social media sentiment remains challenging due to the noisy, heterogeneous, and rapidly evolving nature of online signals. While prior studies commonly combine sentiment analysis with deep learning mode... read more
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