Accurate polyp segmentation is crucial for precise diagnosis and prevention of colorectal cancer. However, precise polyp segmentation still faces challenges, mainly due to the similarity of polyps to ...
CATS-Net (Concept Abstraction and Task-Solving Network) is a comprehensive framework for understanding and implementing concept abstraction in neural networks. The system combines supervised learning ...
Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...
French telecommunications operator Free has joined Nokia’s Network as Code API ecosystem, making it easier for developers and enterprises to build, test and deploy new applications that securely tap ...
Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...