A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...
(a) Conventional neuron models used in reservoir computing. Artificial neural networks (ANNs) comprise of neuron models that sum up weighted inputs, filter the value through an activation function, ...
Abstract: The increasing complexity of optical communication systems and networks necessitates advanced methodologies for extracting valuable insights from vast and heterogeneous datasets. Machine ...
A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...
SmartInject: Automated SQL Injection Testing Using Deep Q-Learning and LSTM-Based Payload Generation
Abstract: SQL injection (SQLi) is still one of the prevalent cybersecurity threats that enable attackers to manipulate back-end databases via their vulnerable web applications. Traditional testing and ...
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