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580 results on '"Ferreira, Luis"'

1. 5G Network Slicing as a Service Enabler for theAutomotive Sector

Author

Candal-Ventureira, David, Rúa-Estévez, José Manuel, Fondo-Ferreiro, Pablo, Gil-Castiñeira, Felipe, Fernández-Barciela, Antonio, González-Castaño, Francisco Javier, Diéguez-Pazo, Emilio, and Fernández-Ferreira, Luis

Subjects
Computer Science - Networking and Internet Architecture
Abstract

Network slicing, a key technology introduced in 5G standards, enables mobile networks to simultaneously support a wide range ofheterogeneous use cases with diverse quality of service (QoS) requirements. This work discusses the potential benefits of networkslicing for the automotive sector, encompassing manufacturing processes and vehicular communications. The review of the stateof the art reveals a clear gap regarding the application of network slicing from the perspective of industrial verticals such asautomotive use cases and their specific requirements. Departing from this observation, we first identify limitations of previouscellular technologies and open challenges for supporting the data services required. Then we describe network slicing as an enablerto face these challenges. We present an analysis of the cost equilibrium for network slicing to be effective for car manufacturers,and tests in real 5G networks that demonstrate the performance improvement in OTA updates coexisting with other services., Comment: Article published in Engineering Reports journal

Published
2025
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2. FlexiGen: Stochastic Dataset Generator for Electric Vehicle Charging Energy Flexibility

Author

Cabral, Bernardo, Fonseca, Tiago, Sousa, Clarisse, and Ferreira, Luis Lino

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

Electric vehicles (EVs) and renewable energy sources (RES) are vital components of sustainable energy systems, yet their uncoordinated integration can pose substantial challenges to grid stability, such as unmanaged peak loads and energy balance issues. Vehicle-to-Grid (V2G), offer a promising solution to address these challenges by enabling bidirectional energy flow between EVs and the grid. As such, EVs can be used in advances Demand Response (DR) strategies to optimize energy use and mitigate the intermittency of renewable generation. To reach such advantages, optimization algorithms need data on EV energy flexibility, such as charging patterns and usage preferences. However, data collection remains constrained by challenges such as high costs, user engagement, data privacy concerns, and limited access to open-source datasets on EV energy flexibility. This paper presents FlexiGen an open-source stochastic dataset generator tool designed to overcome the data limitations in EV flexibility for V2G and V1G DR applications. FlexiGen generates synthetic datasets encompassing realist EV usage patterns, behaviours and flexibility scenarios for household and office routines. To generate these datasets, FlexiGen uses a series of configurable probabilistic variables, such as stochastic user routines, traffic conditions, charger types, car average electricity consumption and State of Charge (SoC). The generated datasets include an hourly routine with the EV State of connection, Destination Charger, Estimated Departure Time, Required SOC at Departure, Estimated Arrival Time, and Estimated SOC at Arrival. Accompanying this publication an example dataset is generated for 3 households with 1 EV each, and 1 office building with 3 EVs. The generated dataset is analyzed and discussed on the paper and published alongside the open-source code for FlexiGen tool., Comment: 9 pages, 5 figures, 9 tables

Published
2024

3. CityLearn v2: Energy-flexible, resilient, occupant-centric, and carbon-aware management of grid-interactive communities

Author

Nweye, Kingsley, Kaspar, Kathryn, Buscemi, Giacomo, Fonseca, Tiago, Pinto, Giuseppe, Ghose, Dipanjan, Duddukuru, Satvik, Pratapa, Pavani, Li, Han, Mohammadi, Javad, Ferreira, Luis Lino, Hong, Tianzhen, Ouf, Mohamed, Capozzoli, Alfonso, and Nagy, Zoltan

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society, Electrical Engineering and Systems Science - Systems and Control
Abstract

As more distributed energy resources become part of the demand-side infrastructure, it is important to quantify the energy flexibility they provide on a community scale, particularly to understand the impact of geographic, climatic, and occupant behavioral differences on their effectiveness, as well as identify the best control strategies to accelerate their real-world adoption. CityLearn provides an environment for benchmarking simple and advanced distributed energy resource control algorithms including rule-based, model-predictive, and reinforcement learning control. CityLearn v2 presented here extends CityLearn v1 by providing a simulation environment that leverages the End-Use Load Profiles for the U.S. Building Stock dataset to create virtual grid-interactive communities for resilient, multi-agent distributed energy resources and objective control with dynamic occupant feedback. This work details the v2 environment design and provides application examples that utilize reinforcement learning to manage battery energy storage system charging/discharging cycles, vehicle-to-grid control, and thermal comfort during heat pump power modulation.

Published
2024
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4. A Multi-pronged Approach to Promote Pedagogical Innovation and Distance Learning in Higher Education

Author

Marques, Célio Gonçalo, Nata, Ana, Ferreira, Luís Miguel, Rodrigues, Ana Marta, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Carvalho, João Vidal, editor, Abreu, António, editor, Ferreira da Costa, Eusébio, editor, Vázquez-Justo, Enrique, editor, and Viguera Figueroa, Hernán, editor

Published
2025
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5. The Influence of Resilience on the Digital Resilience of Higher Education Students: Preliminary Insights

Author

Gomes, Sofia, Ferreira, Luis, Pereira, Liliana, Sousa, Bruno, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Carvalho, João Vidal, editor, Abreu, António, editor, Ferreira da Costa, Eusébio, editor, Vázquez-Justo, Enrique, editor, and Viguera Figueroa, Hernán, editor

Published
2025
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6. Unravelling the Adoption of Digital Technologies by European SMEs

Author

Ferreira, Luís, van der Aalst, Wil, Series Editor, Ram, Sudha, Series Editor, Rosemann, Michael, Series Editor, Szyperski, Clemens, Series Editor, Guizzardi, Giancarlo, Series Editor, Bach Tobji, Mohamed Anis, editor, Jallouli, Rim, editor, Sadok, Hicham, editor, Lajfari, Kaltoum, editor, Mafamane, Driss, editor, and Mahboub, Houda, editor

Published
2025
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7. A Data Drift Approach to Update Deployed Energy Prediction Machine Learning Models

Author

Teixeira, Hélder, Matta, Arthur, Pilastri, André, Ferreira, Luís, Pereira, Pedro, Gonçalves, Carlos, Cortez, Paulo, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Santos, Manuel Filipe, editor, Machado, José, editor, Novais, Paulo, editor, Cortez, Paulo, editor, and Moreira, Pedro Miguel, editor

Published
2025
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8. EVLearn: Extending the CityLearn Framework with Electric Vehicle Simulation

Author

Fonseca, Tiago, Ferreira, Luis, Cabral, Bernardo, Severino, Ricardo, Nweye, Kingsley, Ghose, Dipanjan, and Nagy, Zoltan

Subjects
Computer Science - Multiagent Systems, Electrical Engineering and Systems Science - Systems and Control
Abstract

Intelligent energy management strategies, such as Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) emerge as a potential solution to the Electric Vehicles' (EVs) integration into the energy grid. These strategies promise enhanced grid resilience and economic benefits for both vehicle owners and grid operators. Despite the announced prospective, the adoption of these strategies is still hindered by an array of operational problems. Key among these is the lack of a simulation platform that allows to validate and refine V2G and G2V strategies. Including the development, training, and testing in the context of Energy Communities (ECs) incorporating multiple flexible energy assets. Addressing this gap, first we introduce the EVLearn, a simulation module for researching in both V2G and G2V energy management strategies, that models EVs, their charging infrastructure and associated energy flexibility dynamics; second, this paper integrates EVLearn with the existing CityLearn framework, providing V2G and G2V simulation capabilities into the study of broader energy management strategies. Results validated EVLearn and its integration into CityLearn, where the impact of these strategies is highlighted through a comparative simulation scenario., Comment: 10 pages, 7 figures, 3 tables, 11 equations

Published
2024

9. EnergAIze: Multi Agent Deep Deterministic Policy Gradient for Vehicle to Grid Energy Management

Author

Fonseca, Tiago, Ferreira, Luis, Cabral, Bernardo, Severino, Ricardo, and Praca, Isabel

Subjects
Computer Science - Multiagent Systems, Computer Science - Artificial Intelligence
Abstract

This paper investigates the increasing roles of Renewable Energy Sources (RES) and Electric Vehicles (EVs). While indicating a new era of sustainable energy, these also introduce complex challenges, including the need to balance supply and demand and smooth peak consumptions amidst rising EV adoption rates. Addressing these challenges requires innovative solutions such as Demand Response (DR), energy flexibility management, Renewable Energy Communities (RECs), and more specifically for EVs, Vehicle-to-Grid (V2G). However, existing V2G approaches often fall short in real-world adaptability, global REC optimization with other flexible assets, scalability, and user engagement. To bridge this gap, this paper introduces EnergAIze, a Multi-Agent Reinforcement Learning (MARL) energy management framework, leveraging the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) algorithm. EnergAIze enables user-centric and multi-objective energy management by allowing each prosumer to select from a range of personal management objectives, thus encouraging engagement. Additionally, it architects' data protection and ownership through decentralized computing, where each prosumer can situate an energy management optimization node directly at their own dwelling. The local node not only manages local energy assets but also fosters REC wide optimization. The efficacy of EnergAIze was evaluated through case studies employing the CityLearn simulation framework. These simulations were instrumental in demonstrating EnergAIze's adeptness at implementing V2G technology within a REC and other energy assets. The results show reduction in peak loads, ramping, carbon emissions, and electricity costs at the REC level while optimizing for individual prosumers objectives., Comment: 6 pages, 6 figures, 2 tables

Published
2024

10. RateRL: A Framework for Developing RL-Based Rate Adaptation Algorithms in ns-3

Author

Queiros, Ruben, Ferreira, Luis, Fontes, Helder, and Campos, Rui

Subjects
Computer Science - Networking and Internet Architecture
Abstract

The increasing complexity of recent Wi-Fi amendments is making the use of traditional algorithms and heuristics unfeasible to address the Rate Adaptation (RA) problem. This is due to the large combination of configuration parameters along with the high variability of the wireless channel. Recently, several works have proposed the usage of Reinforcement Learning (RL) techniques to address the problem. However, the proposed solutions lack sufficient technical explanation. Also, the lack of standard frameworks enabling the reproducibility of results and the limited availability of source code, makes the fair comparison with state of the art approaches a challenge. This paper proposes a framework, named RateRL, that integrates state of the art libraries with the well-known Network Simulator 3 (ns-3) to enable the implementation and evaluation of RL-based RA algorithms. To the best of our knowledge, RateRL is the first tool available to assist researchers during the implementation, validation and evaluation phases of RL-based RA algorithms and enable the fair comparison between competing algorithms.

Published
2023

11. Barriers to the Circular Economy in the Plastics Industry: A Systematic Literature Review

Author

Pinheiro, Mariana F., Ferreira, Luís M. D. F., Azevedo, Susana G., Magalhães, Vanessa S. M., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Silva, Francisco J. G., editor, Ferreira, Luís Pinto, editor, Sá, José Carlos, editor, Pereira, Maria Teresa, editor, and Pinto, Carla M. A., editor

Published
2024
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12. An Exploratory Study on the Implementation of Social Sustainability Practices in Portuguese Industries

Author

Bento, Ana Isabel, Ferreira, Luís Miguel, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Silva, Francisco J. G., editor, Ferreira, Luís Pinto, editor, Sá, José Carlos, editor, Pereira, Maria Teresa, editor, and Pinto, Carla M. A., editor

Published
2024
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13. The Well-Being of Workers in Lean Manufacturing Work Environments

Author

Calcerano, Tomaz, Ferreira, Luís Miguel D. F., Pinto, Ana, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Silva, Francisco J. G., editor, Ferreira, Luís Pinto, editor, Sá, José Carlos, editor, Pereira, Maria Teresa, editor, and Pinto, Carla M. A., editor

Published
2024
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14. How to Prioritize Replenishment Orders in Demand Driven MRP: A Simulation Study

Author

Fernandes, Nuno O., Guedes, Nelson, Thürer, Matthias, Ferreira, Luis P., Ávila, Paulo, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Silva, Francisco J. G., editor, Ferreira, Luís Pinto, editor, Sá, José Carlos, editor, Pereira, Maria Teresa, editor, and Pinto, Carla M. A., editor

Published
2024
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15. The Impact of the Fit Between Supply and Demand Uncertainty and Supply Chain Responsiveness on the Performance of Portuguese Companies

Author

Zimmermann, Ricardo, Ferreira, Luís M. D. F., Moreira, Antonio Carrizo, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Silva, Francisco J. G., editor, Ferreira, Luís Pinto, editor, Sá, José Carlos, editor, Pereira, Maria Teresa, editor, and Pinto, Carla M. A., editor

Published
2024
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16. An IoT Cloud and Big Data Architecture for the Maintenance of Home Appliances

Author

Chaves, Pedro, Fonseca, Tiago, Ferreira, Luis Lino, Cabral, Bernardo, Sousa, Orlando, Oliveira, Andre, and Landeck, Jorge

Subjects
Electrical Engineering and Systems Science - Signal Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Billions of interconnected Internet of Things (IoT) sensors and devices collect tremendous amounts of data from real-world scenarios. Big data is generating increasing interest in a wide range of industries. Once data is analyzed through compute-intensive Machine Learning (ML) methods, it can derive critical business value for organizations. Powerfulplatforms are essential to handle and process such massive collections of information cost-effectively and conveniently. This work introduces a distributed and scalable platform architecture that can be deployed for efficient real-world big data collection and analytics. The proposed system was tested with a case study for Predictive Maintenance of Home Appliances, where current and vibration sensors with high acquisition frequency were connected to washing machines and refrigerators. The introduced platform was used to collect, store, and analyze the data. The experimental results demonstrated that the presented system could be advantageous for tackling real-world IoT scenarios in a cost-effective and local approach., Comment: 6 pages, 6 figures, IECON 2022

Published
2022

17. Value of Bidirectional V2G Smart Charging Responsive Services: Insights from a Simple CA Model

Author

Carvalho, Pedro M. S. and Ferreira, Luis A. F. M.

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

In this paper, particle-hopping cellular automaton (CA) models of elastic demand are used to investigate the value added to plug-in electric vehicles (PEV) aggregators by adopting vehicle-to-grid (V2G) responsive services. CA models used earlier to study load-sifting responses are modified to capture discharge/ recharge capabilities of V2G. Results on ramping responses from CA are then analysed to discuss the small contribution to system controllability added by V2G responsive services., Comment: 3 pages, 4 figures

Published
2022

18. A Low-Cost Multi-Agent System for Physical Security in Smart Buildings

Author

Fonseca, Tiago, Dias, Tiago, Vitorino, João, Ferreira, Luís Lino, and Praça, Isabel

Subjects
Computer Science - Cryptography and Security, Computer Science - Computer Vision and Pattern Recognition, Electrical Engineering and Systems Science - Systems and Control
Abstract

Modern organizations face numerous physical security threats, from fire hazards to more intricate concerns regarding surveillance and unauthorized personnel. Conventional standalone fire and intrusion detection solutions must be installed and maintained independently, which leads to high capital and operational costs. Nonetheless, due to recent developments in smart sensors, computer vision techniques, and wireless communication technologies, these solutions can be integrated in a modular and low-cost manner. This work introduces Integrated Physical Security System (IP2S), a multi-agent system capable of coordinating diverse Internet of Things (IoT) sensors and actuators for an efficient mitigation of multiple physical security events. The proposed system was tested in a live case study that combined fire and intrusion detection in an industrial shop floor environment with four different sectors, two surveillance cameras, and a firefighting robot. The experimental results demonstrate that the integration of several events in a single automated system can be advantageous for the security of smart buildings, reducing false alarms and delays., Comment: 10 pages, 2 tables, 3 figures, ICCCN 2022 conference

Published
2022

20. What Matters for Managers When Adopting Cobots in Manufacturing Organisations? - The Results of a Survey Study in Portuguese SMEs

Author

Couto, Guilherme, Simões, Ana Correia, Ferreira, Luís Miguel D. F., Sousa, Paulo S. A., Moreira, Maria R. A., Ribeiro, Filipe L., Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, M. Davison, Robert, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Thürer, Matthias, editor, Riedel, Ralph, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2024
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21. Understanding the Drivers of Lean Learning in Industrial Environments

Author

Pereira, Bruno, Ferreira, Luís Miguel D. F., Silva, Cristóvão, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, M. Davison, Robert, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Thürer, Matthias, editor, Riedel, Ralph, editor, von Cieminski, Gregor, editor, and Romero, David, editor

Published
2024
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22. Inventory Buffers in DDMRP: A Simulation Study of the Review Policy

Author

Fernandes, Nuno O., Ferreira, Luís P., Carmo-Silva, S., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Machado, Jose, editor, Soares, Filomena, editor, Antosz, Katarzyna, editor, Cagáňová, Dagmar, editor, Manupati, Vijaya Kumar, editor, and Pereira, Alejandro, editor

Published
2024
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23. Analysis and Improvement of Setup Times at a Metalworking Company

Author

Branco, Diogo, Ferreira, Luís P., Fernandes, Nuno O., Silva, Francisco J. G., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Machado, Jose, editor, Soares, Filomena, editor, Antosz, Katarzyna, editor, Cagáňová, Dagmar, editor, Manupati, Vijaya Kumar, editor, and Pereira, Alejandro, editor

Published
2024
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24. Standardizing Guidelines and Procedures for Reassembly of Complex Second-Hand Heavy-Duty Equipment

Author

Silva, Francisco J. G., Pinto, Arnaldo G., Pinto, Isabel M., Pereira, M. Teresa, Sá, José C., Sebbe, Naiara P. V., Ferreira, Luís P., Oliveira, Mário, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Machado, Jose, editor, Soares, Filomena, editor, Ottaviano, Erika, editor, Valášek, Petr, editor, Reddy D., Mallikarjuna, editor, Perondi, Eduardo André, editor, and Basova, Yevheniia, editor

Published
2024
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25. RateRL: A Framework for Developing RL-Based Rate Adaptation Algorithms in ns-3

Author

Queiros, Ruben, Ferreira, Luís, Fontes, Helder, Campos, Rui, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Guisado-Lizar, José-Luis, editor, Riscos-Núñez, Agustín, editor, Morón-Fernández, María-José, editor, and Wainer, Gabriel, editor

Published
2024
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26. Decision Support System for the Analysis of Traffic at a Crossroad in the City of Oporto Using Simulation

Author

Pérola, João, Ferreira, Luís Pinto, Tjahjono, Benny, Ramos, Ana Luísa, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Moldovan, Liviu, editor, and Gligor, Adrian, editor

Published
2024
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27. Analysis of the Impact of Automation on a Workstation at an Industrial Company Using Simulation

Author

Costa, Catarina, Ferreira, Luís Pinto, Ávila, Paulo, Ramos, Ana Luísa, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Moldovan, Liviu, editor, and Gligor, Adrian, editor

Published
2024
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28. Simulating Product Costs Under Stochastic Conditions Using the ABC Matrix Model

Author

Henriques, Marcelo F. N., Dias, Luís Silva, Afonso, Paulo, Ferreira, Luís Pinto, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Moldovan, Liviu, editor, and Gligor, Adrian, editor

Published
2024
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29. Analytical and Simulation Models as Decision Support Tools for Supply Chain Optimization - An Empirical Study

Author

Chidozie, Bernardine Chigozie, Ramos, Ana Luísa, Ferreira, José Vasconcelos, Ferreira, Luís Pinto, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Moldovan, Liviu, editor, and Gligor, Adrian, editor

Published
2024
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30. Impacts of Simulation and Digital Tools on Supply Chain in Industry 4.0

Author

Chidozie, Bernardine Chigozie, Ramos, Ana Luísa, Ferreira, José Vasconcelos, Ferreira, Luís Pinto, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Moldovan, Liviu, editor, and Gligor, Adrian, editor

Published
2024
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31. Demand Driven Material Requirements Planning: Using the Buffer Status to Schedule Replenishment Orders

Author

Fernandes, Nuno O., Guedes, Nelson, Thürer, Matthias, Ferreira, Luis P., Avila, P., Carmo-Silva, Silvio, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Rocha, Alvaro, editor, Adeli, Hojjat, editor, Dzemyda, Gintautas, editor, Moreira, Fernando, editor, and Colla, Valentina, editor

Published
2024
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33. The Importance of Patent Registration in the Way of Generating Wealth for Nations

Author

Santos, Gilberto, Carvalho, Sandro, Sá, José Carlos, Ferreira, Luis P., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Silva, Francisco J. G., editor, Pereira, António B., editor, and Campilho, Raul D. S. G., editor

Published
2024
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37. Survey-Based Assessment of the Quality of Reporting Guidelines of Carotid Artery Stenosis

Author

Molina-Hernandez, Alejandro, Ximénez-Carrillo, Álvaro, Ayala, Andrés Betancourt, Marín Giraldo, Andrés Felipe, Nascimento de Lemos, Arlindo, Lopez-Melgar, Beatriz, Hernandez, Beatriz S., Vaquero-Puerta, Carlos, Perez-Valdez, David A., Demicheli, Elvio, Pena-Almaguer, Erasmo de la, Pullas-Tapia, Gonzalo Javier, Rodríguez, Gonzalo Martínez, Martínez Rodríguez, Héctor Ramón, Díaz, Hernán Azpiri, Vos, Jan Albert, Figueroa Sánchez, José Antonio, Brenes Gutiérrez, José David, González Guerra, José Luis, Laso Bayas, José Luis, Moreno Rojas, Juan Carlos, Bulnes, Juan Francisco, Naranjo Gálvez, Julio Hernando, Cruz Diaz, Licurgo Jacob, Sánchez Trujillo, Luis Adolfo, Ferreira, Luis Mariano, Humberto, Maffeo Horacio, Fernández Norambuena, María José, Revelo, Maria Sol Calero, Romano, Marina, Alonso Vanegas, Mario A., Antileo, Pablo, Sandoval, Patricio, Cisneros Clavijo, Paulina Elizabeth, Mertens, Renato, Moreno-Carriles, Rosa Maria, González, Sebastian Soto, Reyero Postigo, Teresa Lidia, Viteri-Pérez, Víctor Hugo, Bertoldi, Vinicius, Gonzalez-Urquijo, Mauricio, Gómez-Gutiérrez, Oliver Antonio, Hinojosa-Gonzalez, David E., Reijnen, Michel M.P.J., van den Berg, Jos C., Vegas, Diego Herrera, Marine, Leopoldo, Lozano-Balderas, Gerardo, and Fabiani, Mario Alejandro

Published
2024
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38. Endosutured Aneurysm Repair of Abdominal Aortic Aneurysms with Short Necks Achieves Acceptable Midterm Outcomes—Results from the Peru Registry

Author

Schuurmann, Richte, Zúñiga, Claudio Gandarias, Badawy, Ayman, Bastianon, Martina, Ferrer, Miguel, Fontanini, Daniele Mariastefano, Reyes Valdivia, Andrés, Oikonomou, Kyriakos, Milner, Ross, Pitoulias, Apostolos, Reijnen, Michel M.P.J., Pfister, Karin, Tinelli, Giovanni, Csobay-Novák, Csaba, Pratesi, Giovanni, Ferreira, Luis Mariano, de Vries, Jean-Paul P.M., and Chaudhuri, Arindam

Published
2024
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