Deep learning (DL) has proven to be a highly effective approach for developing models in
diverse contexts, including visual perception, speech recognition, and machine translation …

Deep Learning has enabled many advances in machine learning applications in the last few
years. However, since current Deep Learning algorithms require much energy for …

The most significant barrier to the advancement of Neural Architecture Search (NAS) is its
demand for large computational resources, which hinders scientifically sound empirical …

Artificial Intelligence (AI) is a fast-growing research and development (R&D) discipline which
is attracting increasing attention because it promises to bring vast benefits for consumers …

The energy consumption for training deep learning models is increasing at an alarming rate
due to the growth of training data and model scale, resulting in a negative impact on carbon …

Recent algorithmic developments, specifically in deep learning, have propelled computer
vision forward for practical applications. However, the high computational complexity and …

The deep convolutional neural networks are widely used in medical image classification
tasks. In some cases, they have outperformed physicians and achieved significant results …

INTRODUCTION: In an in-depth study of the application of sustainable energy in cross-
border e-commerce, a comprehensive assessment and model optimization of its life cycle …

For many practical applications, we face the problem that computer vision systems must be
installed in the wild, without or with a limited permanent power supply. Therefore …