Special Issue "Failures and Perspectives of Technological Applications and Processes after the COVID19. Defense and Development of Methodologies"

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 30 November 2021.

Special Issue Editors

Dr. Carlo Maria Medaglia
E-Mail Website
Guest Editor
Research Department, Link Campus University, Rome, Italy
Interests: sustainability; environmental impact; energy; circular economy; internet of things; information communication technology; physical processes; life cycle assessment; pollutant emissions; sustainable policies; renewable energies; climate changes; smart cities; combined cycle power plant; logistic; transports; biomass; waste management; building efficiency
Dr. Guido Marseglia
E-Mail Website1 Website2
Guest Editor
Research Department, Link Campus University, Rome, Italy& University of Seville (IMUS), Seville, Spain
Interests: energy conversion processes; circular economy; numerical model; sustainable buildings and infrastructures; sustainable transports; physical processes in experimental tests; heat transfer; pollutant emissions; engine efficiency; combustion process; thermal systems; alternative fuels; waste management; climate changes; smart cities
Special Issues and Collections in MDPI journals
Prof. Marco Barbanera
E-Mail Website
Guest Editor
Department of Economics Engineering Society and Business Organization (DEIM), University of Tuscia, Largo dell’Università s.n.c., Loc. Riello, 01100 Viterbo, Italy
Interests: life cycle assessment; circular economy; biomass energy conversion

Special Issue Information

Dear Colleagues,

Reducing the social and economic effects on the world population in these COVID-19 times requires research and analysis from various diverse fields.

While it is known that this issue is mainly studied by doctors, virologists, biologists, and statisticians, other technicians such as physicists, engineers, mathematicians, economists, and sociologists are able to provide an essential contribution toward combating the unfortunate situation brought about by the causative virus.

One of the main challenges is represented by the recovery and, therefore, the development of forecasting models to avoid the vertical fall of the economy and industrial activity.

Furthermore, the detailed study of all technological processes is fundamental, including those related to energy, transport, the environment, infrastructures, and workplaces. In this sense, the use of ICT and smart technologies is a priority.

With regard to environmental needs, firstly, the most industrialized areas are favorable for the contagion, as the virus shows affinity with some factors of pollution. Secondly, thanks to imposed restrictions, the resulting reduction of urban traffic and the activities of some companies has, as a consequence, led to strongly decreased concentrations of air pollutants.

Some scientists are studying the atomization of droplets during a sneeze and their subsequent propagation.

Another important effect concerns the residential average energy consumption for citizens—influenced strongly by the quarantine imposed by most governments.

The aim of this research is to put together a series of scientific papers which report on the important actions undertaken to evaluate the effects of COVID-19 and to promote methods and prospects toward more sustainable living conditions.

Articles are invited from all countries.

Prof. Carlo Maria Medaglia
Dr. Guido Marseglia
Dr. Marco Barbanera
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1900 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • COVID-19
  • policies
  • sustainable processes
  • sustainable technologies
  • sustainable buildings and infrastructures
  • IoT
  • BIM
  • ICT
  • sustainable transports
  • energy
  • environment and landscape
  • pollutant emissions
  • renewable energies
  • waste
  • smart cities
  • economy
  • life cycle assessment

Published Papers (1 paper)

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Facial Recognition System for People with and without Face Mask in Times of the COVID-19 Pandemic
Sustainability 2021, 13(12), 6900; https://0-doi-org.brum.beds.ac.uk/10.3390/su13126900 - 18 Jun 2021
Viewed by 1527
In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the use of a face mask as a mandatory biosafety measure. This has caused problems in current facial recognition systems, motivating the development of this research. This manuscript describes the [...] Read more.
In the face of the COVID-19 pandemic, the World Health Organization (WHO) declared the use of a face mask as a mandatory biosafety measure. This has caused problems in current facial recognition systems, motivating the development of this research. This manuscript describes the development of a system for recognizing people, even when they are using a face mask, from photographs. A classification model based on the MobileNetV2 architecture and the OpenCv’s face detector is used. Thus, using these stages, it can be identified where the face is and it can be determined whether or not it is wearing a face mask. The FaceNet model is used as a feature extractor and a feedforward multilayer perceptron to perform facial recognition. For training the facial recognition models, a set of observations made up of 13,359 images is generated; 52.9% images with a face mask and 47.1% images without a face mask. The experimental results show that there is an accuracy of 99.65% in determining whether a person is wearing a mask or not. An accuracy of 99.52% is achieved in the facial recognition of 10 people with masks, while for facial recognition without masks, an accuracy of 99.96% is obtained. Full article
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