Performance Metrics of the Model: The effectiveness of AI-based hardware Trojan (HT) detection models can be assessed by a range of classification metrics, including accuracy, precision, recall (true ...

Class Imbalance,Classification Of Samples,Confusion Matrix,Convolutional Neural Network,Decision Tree,Decision Tree Algorithm,Disability-adjusted Life Years,Electrocardiogram,Emotion ...

In order to reduce the impact of imbalance samples on load identification, the SVM SMOTE algorithm is used to balance the samples. Based on the deep learning method, the convolutional neural network ...

Graph neural networks (GNNs ... more powerful search algorithms to generate multiple sequence comparisons quickly offer possibilities in this field. Deep learning models are often considered black-box ...

Techniques such as recurrent neural networks, graph theory ... attention, memory, decision-making, learning, and language. Relevant themes include neural coding, network dynamics, brain-inspired ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Another research line that Rus is excited about to make robots smarter was inspired by the development of large language ...

Quantum computers promise to speed calculations dramatically in some key areas such as computational chemistry and high-speed networking. But they're so different from today's computers that ...