IEEE

From mAP to Statistical Metrics: A New Paradigm for Evaluating Model Accuracy in Metrology

Abstract: Deep learning (DL) models are increasingly used in industrial applications for precise object measurement, particularly in resource-constrained environments where monocular cameras are ...

China's open AI models are in a dead heat with the West - here's what happens next

With the rising technological prowess and greater openness of Chinese models, the world is increasingly turning to the East for efficient and customizable AI, a new report finds.

Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Statistical method developed for single-molecule fluorescence analysis

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...
IEEE

Dual Cross-Attention Transformer Networks for Temporal Predictive Modeling of Industrial Process

Abstract: Industrial predictive modeling plays an important role in process control and optimization. Industrial process data arisen in the real-world applications often involves nonlinear and ...