The artificial neural network reduces humanity and society's burden to solve complex
problems highly efficiently. Artificial neural networks resemble brain activities based on the …

Individual and societal systems are open systems continuously affected by their situational
context. In recent years, context sources have been increasingly considered in different …

Reliable operation of energy management systems, grid stability, and managing energy
demand responses are becoming challenging because of the flickering nature of solar …

Achieving the highly accurate and generic prediction of solar irradiance is arduous because
solar irradiance possesses intermittent randomness and is influenced by meteorological …

In solar radiation forecasting, changes in a variable such as diffused horizontal solar
radiation, temperature, sunny days, and time may provide important details about global …

This paper proposes a hybrid model for predicting solar irradiance, crucial for optimizing
photovoltaic (PV) energy generation. Combining physical modeling and deep learning …

The field of healthcare, driven by the continuous growth of data related to human health and
the ongoing course of digital transformation, is undergoing a significant evolution. In this …

The COVID-19 pandemic has succeeded in bringing down various industrial sectors,
including the aviation industry. This pandemic impacted the depletion of the operational …

针对无序, 采样不均匀以及存在相互遮挡的工件点云分割效果不佳的问题,
提出一种多尺度自适应通道维度注意力点云分割网络(PointECA). 该算法中的多尺度特征提取 …