Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep ...

The human brain undergoes significant changes over time, with its functional and structural dynamics evolving as we age. Understanding these changes is vital for unraveling the complexities of ...

Abstract: Most EEG-based biometrics rely on either convolutional neural networks (CNNs) or graph convolutional neural networks (GCNNs) for personal authentication, potentially overlooking the ...

This work also provides insight into the development of portable single-channel EEG devices with interpretable neural network for driver drowsiness detection. The study is organized as follows.

Methods: Electroencephalography (EEG) recordings ... generates a strong neural response in the visual cortex. Furthermore, the map shows that while the activity is concentrated in the occipital region ...

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...

U.S. telecom giants AT&T and Verizon say they have secured their networks after being targeted by the China-linked Salt Typhoon cyberespionage group. In a statement given to TechCrunch on Monday ...