Quantum annealing for industry applications: Introduction and review
Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …
solve combinatorial optimization problems. In recent years, advances in quantum …
Intelligent modeling strategies for forecasting air quality time series: A review
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 …
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 …
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 …
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
With the increasing frequency of international shipping and marine resources development
activities, ship motion prediction plays an increasingly important role in ensuring the safety …
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 …
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
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 …
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
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 …
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
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 …
optimization of traffic-light programs (TLPs) requires the simulation of a traffic scenario (traffic …
Traffic Signal Optimization to Improve Sustainability: A Literature Review
Optimizing traffic signals to improve traffic progression relies on minimizing mobility
performance measures (eg, delays and stops). However, delay and stop minimizations do …
performance measures (eg, delays and stops). However, delay and stop minimizations do …