This study presents the development of a smart trash management system utilizing IoT
technology with a machine learning approach. The aim of this research is to address the …

Efficient waste management is crucial in today's environmental landscape, necessitating
comprehensive approaches involving recycling, landfill practices, and cutting-edge …

The ability of the Internet of things (IoT) to incorporate anything and everything has induced
and it is revolutionary applications in spheres of smart healthcare, smart living, smart cities …

It is expected that 70% of the world's population, over six billion people, will live in cities and
surrounding regions by 2050. The dearth of the efficient waste management system is one of …

Garbage collection in urban areas has become a major challenge due to the increase in
trash production. New technologies, including the application of deep learning and image …

Waste accumulation in urban areas is of growing concern due to the problems of its
collection, proper management, and disposal. Inefficient management and lack of …

Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

In this paper, we have proposed a fully automated waste management system to implement
waste segregation. The method adopted is computer vision and deep learning paired with …

Waste segregation, management, transportation, and disposal must be carefully managed to
reduce the danger to patients, the public, and risks to the environment's health and safety …

The new era of Web and Internet of Things (IoT) paradigm is being enabled by the
proliferation of various devices like RFIDs, sensors, and actuators. Smart devices (devices …