By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as ...

These clusters are employed to create multi-relation graphs which are then propagated to an LSTM-based graph network to forecast future prices at the node level. The proposed approach can anticipate ...

A research team has developed an advanced deep learning model, LKNet, to improve the accuracy of rice panicle counting in dense crop canopies.

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...

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Med-DGTN's architecture demonstrates clinical translatability by revealing disease interaction patterns through interpretable graph structures, potentially informing precision diagnostics in ...

Graph-based multi-view clustering has garnered considerable attention owing to its effectiveness. Nevertheless, despite the promising performance achieved by previous studies, several limitations ...

• With three restaurant concepts and one entertainment brand already in hand, partners Scott Taylor, Shane Morrison and Lucius Birch say they are on the verge of adding three more fast-casual brands ...

More than 2,000 east of England firms secured funding from the British Business Bank in 2024/25, which is expected to create 3,000 new jobs ...