Quantum annealing for industry applications: Introduction and review

S Yarkoni, E Raponi, T Bäck… - Reports on Progress in …, 2022 - iopscience.iop.org
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …

Intelligent modeling strategies for forecasting air quality time series: A review

H Liu, G Yan, Z Duan, C Chen - Applied Soft Computing, 2021 - Elsevier
In recent years, the deterioration of air quality, the frequent events of the air contaminants,
and the health impacts from that have caused continuous attention by the government and …

IoT based monitoring of air quality and traffic using regression analysis

JÁ Martín-Baos, L Rodriguez-Benitez… - Applied Soft …, 2022 - Elsevier
Dynamic traffic management (DTM) systems are used to reduce the negative externalities of
traffic congestion, such as air pollution in urban areas. They require traffic and …

Cluster-UY: collaborative scientific high performance computing in Uruguay

S Nesmachnow, S Iturriaga - … on Supercomputing in Mexico, ISUM 2019 …, 2019 - Springer
This article describes the national initiative for installing and operating a collaborative
scientific HPC infrastructure in Uruguay (Cluster-UY). The project was conceived as a mean …

Deterministic ship roll forecasting model based on multi-objective data fusion and multi-layer error correction

Y Wei, Z Chen, C Zhao, X Chen - Applied Soft Computing, 2023 - Elsevier
With the increasing frequency of international shipping and marine resources development
activities, ship motion prediction plays an increasingly important role in ensuring the safety …

[HTML][HTML] A framework to improve urban accessibility and environmental conditions in age-friendly cities using graph modeling and multi-objective optimization

I Delgado-Enales, J Del Ser, P Molina-Costa - Computers, Environment and …, 2023 - Elsevier
The rapid growth of cities in recent decades has unleashed several challenges for urban
planning, which have been exacerbated by their aging population. Among the most pressing …

Soft computing methods for multiobjective location of garbage accumulation points in smart cities

J Toutouh, D Rossit, S Nesmachnow - Annals of Mathematics and Artificial …, 2020 - Springer
This article describes the application of soft computing methods for solving the problem of
locating garbage accumulation points in urban scenarios. This is a relevant problem in …

[HTML][HTML] Optimizing local and global objectives for sustainable mobility in urban areas

A Singh, JB Hauge, M Wiktorsson, U Upadhyay - Journal of urban mobility, 2022 - Elsevier
Cities are growing and sustainable urban mobility planning (SUMP) is gaining in importance
with it. The problems in the domain often involve multiple stakeholders with conflicting or …

Reliable simulation-optimization of traffic lights in a real-world city

J Ferrer, M López-Ibáñez, E Alba - Applied Soft Computing, 2019 - Elsevier
In smart cities, when the real-time control of traffic lights is not possible, the global
optimization of traffic-light programs (TLPs) requires the simulation of a traffic scenario (traffic …

Traffic Signal Optimization to Improve Sustainability: A Literature Review

S Alshayeb, A Stevanovic, N Mitrovic, E Espino - Energies, 2022 - mdpi.com
Optimizing traffic signals to improve traffic progression relies on minimizing mobility
performance measures (eg, delays and stops). However, delay and stop minimizations do …