According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...

Abstract: Federated Learning (FL) has emerged as a promising paradigm for collaborative and privacy-preserving model training in medical imaging. However, FL faces major challenges such as data ...

Abstract: Learning to represent three dimensional (3D) human pose given a two dimensional (2D) image of a person, is a challenging problem. In order to make the problem less ambiguous it has become ...

A country’s gross domestic product (GDP), which measures total economic output, is central to how governments assess their economies. But this figure, when looked at in isolation, which is most often ...

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...

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State Key Laboratory of Medical Proteomics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, P. R. China University of Chinese Academy of Sciences, Beijing 100049, P.