This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Northwestern Engineering faculty and students participated in the annual forum for advances in theory, empirics, and ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Research and Application of LSTM Neural Network Algorithm We developed a predictive model using Long Short-Term Memory (LSTM) neural networks aimed at forecasting a specific benchmark index. The focus ...

Digital Twins represent virtual replicas of real-world objects, processes, or systems, enabling continuous real-time monitoring, dynamic adaptation, and predictive analytics. Their integration has ...