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Listar por autor "Peyman, Mohammad"

Mostrando ítems 1-6 de 6

A Sim-Learnheuristic for the Team Orienteering Problem: Applications to Unmanned Aerial Vehicles

Peyman, Mohammad; Martín-Solano, Xabier Andoni; Panadero, Javier; Juan, Angel A. (MDPI AG, 2024-05)

[EN] In this paper, we introduce a novel sim-learnheuristic method designed to address the team orienteering problem (TOP) with a particular focus on its application in the context of unmanned aerial vehicles (UAVs). Unlike ...
Dynamic Reactive Assignment of Tasks in Real-Time Automated Guided Vehicle Environments with Potential Interruptions

Martín, Xabier A.; Hatami, Sara; Calvet, Laura; Peyman, Mohammad; Juan, Angel A. (MDPI AG, 2023-03)

[EN] An efficient management of production plants has to consider several external and internal factors, such as potential interruptions of the ongoing processes. Automated guided vehicles (AGVs) are becoming a widespread ...
Edge computing and iot analytics for agile optimization in intelligent transportation systems

Peyman, Mohammad; Copado, Pedro J.; Tordecilla, Rafael D.; do C. Martins, Leandro; Xhafa, Fatos; Juan, Angel A. (MDPI AG, 2021-10)

[EN] With the emergence of fog and edge computing, new possibilities arise regarding the data-driven management of citizens' mobility in smart cities. Internet of Things (IoT) analytics refers to the use of these technologies, ...
Join Operation for Semantic Data Enrichment of Asynchronous Time Series Data

García-Climent, Eloi; Peyman, Mohammad; Serrat, Carles; Xhafa, Fatos (MDPI AG, 2023-04-01)

[EN] In this paper, we present a novel framework for enriching time series data in smart cities by supplementing it with information from external sources via semantic data enrichment. Our methodology effectively merges ...
Optimization of vehicular networks in smart cities: from agile optimization to learnheuristics and simheuristics

Peyman, Mohammad; Fluechter, Tristan; Panadero, Javier; Serrat, Carles; Xhafa, Fatos; Juan, Angel A. (MDPI AG, 2023-01)

[EN] Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent transportation systems in smart cities. With the support of open and real-time data, these networks of inter-connected vehicles constitute ...
Predictive Analyses of Traffic Level in the City of Barcelona: From ARIMA to eXtreme Gradient Boosting

García-Climent, Eloi; Calvet, Laura; Carracedo-Garnateo, Patricia; Serrat, Carles; Miró Martínez, Pau; Peyman, Mohammad (MDPI AG, 2024-05-23)

[EN] This study delves into the intricate dynamics of urban mobility, a pivotal aspect for policymakers, businesses, and communities alike. By deciphering patterns of movement within a city, stakeholders can craft targeted ...