How construction and demolition waste management has addressed sustainable development goals: Exploring academic and industrial trends.

With the rapid growth of the construction industry and urbanization, the construction and demolition waste (CDW) has constituted the most major solid waste flow in the world. The unsustainable management of CDW causes serious societal and environmental issues, as well as leads to resource waste, which directly and indirectly impact on United Nations' Sustainable Development Goals (SDGs). Due to the awareness of the destructive effect by CDW, the academic and industry have devoted to offer a sustainable pathway for CDWM, which characterizes minimizing carbon footprints as well as proposing circular approaches.

A Machine Learning-Based Anomaly Prediction Service for Software-Defined Networks.

Software-defined networking (SDN) has gained tremendous growth and can be exploited in different network scenarios, from data centers to wide-area 5G networks. It shifts control logic from the devices to a centralized entity (programmable controller) for efficient traffic monitoring and flow management. A software-based controller enforces rules and policies on the requests sent by forwarding elements; however, it cannot detect anomalous patterns in the network traffic.

How publications and patents are contributing to the development of municipal solid waste management: Viewing the UN Sustainable Development Goals as ground zero.

Academia and industry have strengthened each other under the guidelines of regulatory institutions to contribute theoretical knowledge and practical solutions for society, which can be presented in a combination of publishing research and filing patents. In the case of municipal solid waste management (MSWM), a great transformation from a linear to a circular view has been in process. In this study, we investigated the role of the United Nations Sustainable Development Goals (SDGs) in MSWM-related development and transformation.