Semiconductor device optimization using computer-based prototyping techniques like simulation or machine learning digital twins can be time and resource efficient compared to the conventional strategy ...

To rigorously evaluate the electromechanical-hydraulic coupling performance of a hydraulic excavator’s working device under authentic operating loads, this study presents a field-data-driven ...

As 6G envisions the convergence of ultra-fast communications, integrated sensing, and native AI capabilities across diverse environments — including terrestrial, aerial, and satellite domains — ...

Different challenges have to be overcome when designing integrated circuits. Besides schematic and layout design work, verification in view of the non-ideal behavior of circuits and semiconductor ...

Automation has become the backbone of modern SystemVerilog/UVM verification environments. As designs scale from block-level modules to full system-on-chips (SoCs), engineers rely heavily on scripts to ...

This chapter presents the results of the literature review for operational traffic simulation models. Sources compiled for the literature review include guidance documents (general and DOT-specific), ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...