Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

ABSTRACT: Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving ...

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

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Abstract: Interest has been renewed in the domain of neuromorphic circuits, with the emergence of Deep Neural Networks as the leading model for various classification tasks. In this work, we present a ...

Softmax ensures the sum of all output probabilities is 1, making it ideal for multi-class classification, whereas Sigmoid treats each class independently, leading to probabilities that don’t sum to 1.

Accurate building segmentation has become critical in various fields such as urban management, urban planning, mapping, and navigation. With the increasing diversity in the number, size, and shape of ...

Inspired by the brain, neural networks are essential for recognizing images and processing language. These networks rely on activation functions, which enable them to learn complex patterns. However, ...