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In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

PROCESS IMPROVEMENT TOOLS AND METHODS AI holds transformative potential across Army operations—from logistics and maintenance ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Recently, the textbook 'Big Data and Intelligent Systems' edited by Professor Yu Wenwu from Southeast University has been officially published by Southeast University Press. This book systematically ...

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...

In 2025, eighty-three percent of companies already use AI to review resumes. For candidates, that means a machine is almost always the first “reader” of their application. The good news is that those ...

Prosecutors are preparing to ask a grand jury to indict James Comey as soon as Thursday, according to the Associated Press.