[HTML][HTML] Artificial intelligence and effective governance: A review, critique and research agenda
The paper provides an overview of how Artificial Intelligence (AI) is applied in different
government sectors. Our methodology is based on a systematic review of 74 papers …
government sectors. Our methodology is based on a systematic review of 74 papers …
[HTML][HTML] Beyond the EVent horizon: Battery waste, recycling, and sustainability in the United Kingdom electric vehicle transition
Industrial advances and academic enquiry into the transition towards electrified mobility has
been arguably preoccupied with the earlier phases of technological development, while less …
been arguably preoccupied with the earlier phases of technological development, while less …
[HTML][HTML] Application of deep learning object classifier to improve e-waste collection planning
P Nowakowski, T Pamuła - Waste Management, 2020 - Elsevier
This study investigates an image recognition system for the identification and classification
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
[HTML][HTML] Combining an artificial intelligence algorithm and a novel vehicle for sustainable e-waste collection
Mobile collection of waste electrical and electronic equipment is a collection method that is
convenient for residents and companies. New opportunities to use mobile apps and internet …
convenient for residents and companies. New opportunities to use mobile apps and internet …
Accelerating the Miller–Tucker–Zemlin model for the asymmetric traveling salesman problem
G Campuzano, C Obreque, MM Aguayo - Expert Systems with Applications, 2020 - Elsevier
In this article, we present an easy to implement algorithmic approach that improves the
computational performance of the Miller–Tucker–Zemlin (MTZ) model for the asymmetric …
computational performance of the Miller–Tucker–Zemlin (MTZ) model for the asymmetric …
The fuzzy inference approach to solve multi-objective constrained shortest path problem
A Abbaszadeh Sori, A Ebrahimnejad… - Journal of Intelligent …, 2020 - content.iospress.com
The multi-objective constrained shortest path problem is one of the most significant and well-
known problems in the field of network optimization which due to its many applications in …
known problems in the field of network optimization which due to its many applications in …
[图书][B] Urban ecology: emerging patterns and social-ecological systems
Urban Ecology covers the latest theoretical and applied concepts in urban ecological
research. This book covers the key environmental issues of urban ecosystems as well as the …
research. This book covers the key environmental issues of urban ecosystems as well as the …
Methodological proposals for the development of services in a smart city: A literature review
This literature review analyzes and classifies methodological contributions that answer the
different challenges faced by smart cities. This study identifies city services that require the …
different challenges faced by smart cities. This study identifies city services that require the …
Artificial intelligence in waste electronic and electrical equipment treatment: opportunities and challenges
The growth of the e-waste in developing economies is putting a lot of pressure on the
government bodies to implement a proper system for effective management of the discarded …
government bodies to implement a proper system for effective management of the discarded …
Collection of recyclable wastes within the scope of the Zero Waste project: heterogeneous multi-vehicle routing case in Kirikkale
There is an increase in the amount of resource use due to the rise in population,
urbanization, and industrialization. Also, the amount of waste increases due to an increase …
urbanization, and industrialization. Also, the amount of waste increases due to an increase …