A population explosion has resulted in garbage generation on a large scale. The process of
proper and automatic garbage collection is a challenging and tedious task for developing …

To study the application of deep learning in the field of environmental protection, the
convolutional neural network VGG16 model is used to solve the problem of identification …

Effective waste management and recycling are essential for sustainable development and
environmental conservation. It is a global issue around the globe and emerging in Saudi …

In today's conditions, where the human population is increasing, environmental pollution is
also increasing around the world. One of the most important causes of environmental …

To tackle the problem of aquatic environment pollution, a vision-based autonomous
underwater garbage cleaning robot has been developed in our laboratory. We propose a …

Garbage classification is a social issue related to people's livelihood and sustainable
development, so letting service robots autonomously perform intelligent garbage …

With the development of national economy, the output of waste is also increasing. People's
living standards are constantly improving, and the problem of garbage pollution is …

In recent years, object detection has gained significant interest and is considered a
challenging problem in computer vision. Object detection is mainly employed for several …

Developing nations today face a major hurdle of excessive waste generation due to
overpopulation and rapid urbanization. Also, the waste management systems in such …

In order to effectively utilize garbage resources, reduce environmental pollution and the
burden of people sorting garbage, this paper proposes a method of garbage classification …