A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...
Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
According to the analysis, deep learning architectures such as Long Short-Term Memory (LSTM) networks and hybrid CNN-LSTM ...
The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...
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From SAP Consultant to Global Cybersecurity Innovator: The Remarkable Journey of ChandraSekhar Atakari
When you meet Chandrasekhar Atakari, his calm demeanour gives little away about the scale of the systems he’s helped s ...
BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...
A comprehensive framework integrates statistical modeling, machine learning, and simulation to optimize urban traffic forecasting, capacity ...
Cognizant (Nasdaq: CTSH) today announced a breakthrough from its AI Lab that introduces a novel, efficiency-focused method ...
Researchers from the Xinjiang Astronomical Observatory of the Chinese Academy of Sciences have developed a hybrid deep learning model that can accurately predict atmospheric delay, a key source of ...
The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...
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