One notable missing feature in most ANN models is top-down feedback, i.e. projections from higher-order layers to lower-order layers in the network. Top-down feedback is ubiquitous in the brain, and ...

By Ayo Ashubiojo Most aspects of human life are impacted by machine learning. The analytics of data gathered from various platforms play important roles in profiling, targeting and predicting trends, ...

Spectrogram, Multi-Head Self-Attention, Loss Function Share and Cite: Li, B. (2025) Speech Emotion Recognition Based on CNN-Transformer with Different Loss Function. Journal of Computer and ...

AlexNet is an artificial neural network created to recognize the contents of photographic images. It was developed in 2012 by then University of Toronto graduate ...

Abstract: In this paper, we propose a novel deep learning model that integrates a Temporal Convolutional Network (TCN ... the TCN captures both short-term and long-term dependencies in the stock price ...

In the ever-evolving world of blockchain technology, scalability has been one of the most significant challenges. As blockchain networks like Ethereum (ETH) continue to see exponential growth, ...

Then, a method for constructing the adjacency matrix of the graph based on the system matrix is provided. Finally, the output of the temporal graph convolutional network (TGCN) is passed to a ...

Mrs. Rita Makinde, a frozen food seller, said most of these chickens are brought out from the cold room, after spending months in the cooler, sold to frozen food sellers, who then display them ...