As the world becomes increasingly urbanized, the development of smart cities and the
deployment of IoT applications will play an essential role in addressing urban challenges …

In the current scenario in many cities, huge quantities of biowaste solid matter are
generated, making it a big challenge to keep our cities smart/clean without creating health …

The volume of e-waste generated worldwide is surging, and it is set to escalate further due
to continuing technological innovation and the early obsolescence of most electrical and …

E-waste demands urgent attention to devise effective and sustainable waste management
solutions. In response to this challenge, the integration of deep learning classifiers emerges …

In recent years, there has been a growing amount of discussion on the use of big data to
prevent and treat pandemics. The current research aimed to use CiteSpace (CS) visual …

Abstract The Internet of Things (IoT) has become an essential part of everyday life,
automating manual systems and providing comfort, security, and privacy. However, IoT …

Materials informatics (MI) is aimed to accelerate the materials discovery using computational
intelligence and data science. Progress of MI depends on the strength of database and …

Autonomous smart waste management services are becoming an essential component of
sustainable urbanization. However, the lack of data and insights from current service …

Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …

The focus of this research is on addressing the inefficient management of Municipal Solid
Waste (MSW), which often results in large quantities of waste being dumped into garbage …