Abstract: This paper proposes a novel Neural Network Coding Layer (NNCL) that applies network coding theory to provide structured redundancy and enable reconstruction of lost features, thereby ...
Abstract: In recent years, traffic flow prediction has played a crucial role in the management of intelligent transportation systems. However, traditional forecasting methods often model non-Euclidean ...
Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...
The capacity of super-large models to synthesize responses to sophisticated requests represents a watershed moment in computing.
Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...
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