The project focuses on developing an integrated software package designed to process large-scale time-series data generated in smart factory and smart city environments using CNN- and RNN-based AI ...

Health has become a central concern in architecture, planning, and design, driven by a growing awareness of how the built environment influences physical, mental, social, and environmental well-being.

Abstract: Synchronous generators (SGs) are the cornerstone of modern power systems. However, achieving accurate dynamic modeling of SGs, particularly when considering their complex nonlinear ...

Marion Weiss and Michael Manfredi, married partners, discover expressive possibilities by sculpting landscapes that shape buildings. Architect partners Marion Weiss and Michael Manfredi in Hunter’s ...

Deep learning has added a new dimension to engineering applications, from 5G signal processing to predictive maintenance in power grids. It automatically detects equipment failures and optimizes ...

Section 1. Purpose. The Founders, in line with great societies before them, attached great importance to Federal civic architecture. They wanted America’s public buildings to inspire the American ...

What if the future of artificial intelligence didn’t hinge on size but on ingenuity? In a world dominated by massive transformer models boasting hundreds of billions of parameters, the HRM 27M AI ...

Bidirectional RNN provides greater accuracy in prediction and is a powerful model in Deep Learning when dealing with sequence data. Limitation of uni-directional RNN is that it makes the prediction ...

From Brunelleschi’s ingenious design of the dome crowning the Cathedral of Santa Maria del Fiore, to the vast ceiling of the Sistine Chapel decorated with Michelangelo’s staggering frescoes, ...

Abstract: Discrete time-varying problems are pervasive in the fields of engineering and science. Traditional handling schemes to discrete problem often involve the intervention of continuous-time ...