As energy overuse and generated pollution have a potential threat to our environmental and
ecological conditions, many researchers have taken the initiative way to join the green …

Deep Learning (DL) has been effectively utilized in various complicated challenges in
healthcare, industry, and academia for various purposes, including thyroid diagnosis, lung …

Traffic congestion is a major concern in urban transportation in supply chain management.
Road-based logistic companies can mitigate their Carbon dioxide (CO2) emissions …

To meet the demands of green logistics while considering the time-dependent effects
caused by traffic congestion, we establish a time-dependent green vehicle routing problem …

Offloading is one of the critical enablers of the Internet of Things (IoT) as it helps overcome
the resource limitations of individual objects. Offering enough computational power for IoT …

Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …

Generally, a stand-alone flash-binary geothermal power plant loses most of its input energy,
so its efficiency declines accordingly. Its overall ability can be augmentable by utilizing …

Rapid urbanization in China in recent years has led to a dramatic increase in the number of
construction engineering projects and amount of construction waste, and the resource …

The broad availability of connected and intelligent devices has increased the demand for
Internet of Things (IoT) applications that require more intense data storage and processing …

Urban street dust (UStD) is a vital issue for human health and is crucial for urban
sustainability. This study aims to enhance the creation of safe, affordable, and resilient cities …