Conventional treatment and recycling methods of organic solid waste contain inherent flaws,
such as low efficiency, low accuracy, high cost, and potential environmental risks. In the past …

The manuscript represents a comeprehensive and systematic literature review on the
machine learning methods in the emerging applications of the smart cities. Application …

The year 2020 has witnessed unprecedented levels of demand for COVID-19 medical
equipment and supplies. However, most of today's systems, methods, and technologies …

Big sensor-based data systems and the emergence of large-scale wireless sensor networks
(LS-WSNs), which are spatially distributed across various geographical areas in smart cities …

Smart cities play a vital role in the growth of a nation. In recent years, several countries have
made huge investments in developing smart cities to offer sustainable living. However, there …

Waste management is one of the crucial issues in the creation of smart cities. Because of
population growth, keeping urban areas clean is a challenge. The Internet of things (IoT) has …

With urbanization, rising income and consumption, the production of waste increases. One
of the most important directions in the field of sustainable development is the design and …

Increasing textile production is associated with an environmental burden which can be
decreased with an improved recycling system by digitalization. The collection of textiles is …

With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …

Internet of things (IoT) is being applied in every aspect of daily living to improve the quality of
life. Waste management is a critical issue, especially for developing countries. The purpose …