Rotating synthetic aperture (RSA) technology offers a promising solution for achieving large-
aperture and lightweight designs in optical remote-sensing systems. It employs a …

Traditional A-star algorithms encounter challenges such as an excess of turning points,
significant turning angles, and proximity of turning points to obstacles. These issues can …

With the advancement of global climate change and sustainable development goals, urban
building energy consumption optimization and carbon emission reduction have become the …

Event-related potentials (ERPs) can reveal brain activity elicited by external stimuli.
Innovative methods to decode ERPs could enhance the accuracy of brain-computer …

With the widespread application of deep learning technology in various fields, power load
forecasting, as an important link in power system operation and planning, has also ushered …

Under the wave of the digital era, the retail industry is facing unprecedented fierce
competition and a rapidly changing market environment. In this context, developing smart …

In recent years, the escalating impact of climate change has brought increasing attention to
carbon-neutral strategies as a critical component of global environmental protection efforts …

ABSTRACT Background and Objective Breast cancer is a multifaceted condition
characterized by diverse features and a substantial mortality rate, underscoring the …

Deep neural networks (DNNs) have achieved remarkable success in a wide range of fields,
largely due to their stable and efficient optimizers. We propose a novel optimizer called Dual …

In the current economic landscape, the growing importance of innovation and
entrepreneurship underscores an urgent need for accurate market trend prediction …