Today, the increase in the number of people, advances in industry and technology cause an
increase in the number of wastes generated with the acceleration of production. It is …

Machine learning is a study of algorithm that enable the computers to learn how to do a
given task without being pre-programmed to do so. It basically emulates the way human …

In response to the challenges posed by the harsh working conditions and complex manual
labor involved in garbage sorting, intelligent devices are employed to replace manual labor …

Roadside garbage, a common source of pollution, poses several threats to public health,
aesthetics, and ecological equilibrium. As the population grows, so does the amount of …

Garbage problems in urban areas are becoming more serious as the population increases,
resulting in community garbage, including Bangkok, the capital of Thailand, being affected …

Addressing the challenge of effectively detecting service area litter through monitoring
systems, this study introduces an improved YOLOv5 object detection algorithm. To begin …

Waste management is a significant challenge in India, where the country generates an
estimated 62 million tons of waste annually. One of the most visible forms of waste is …

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

Effective waste detection and classification are crucial for addressing waste management
challenges and promoting recycling and reuse of waste materials. The long-term …

Due to rapid rise in population, there is an increase in the waste scattered and littered on the
roads. Waste management has become an issue of concern, now more than ever around …