Artificial Intelligence (AI) has become a foundational element of next-generation pattern recognition and image analysis, driving transformative advances ...
Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers ...
This is a pytorch implementation of the Muti-task Learning using CNN + AutoEncoder. Cifar10 is available for the datas et by default. You can also use your own dataset. epoch,train loss,train accuracy ...
Researchers at Chiba University in Japan have developed a new artificial intelligence framework capable of decoding complex brain activity with significantly improved accuracy, marking an important ...
Abstract: Depression is a debilitating and enervating mental health disorder that requires attention for necessitating accurate and efficient diagnostic techniques ...
In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
This project simulates a real-world scenario where we need to detect anomalous behavior in telecom network nodes — things like latency spikes, packet loss surges, CPU saturation, and correlated ...
Abstract: Malicious insiders who possess system access and security expertise are notoriously difficult to detect and can inflict severe financial damage. While recent advances in deep learning have ...
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