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Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management
Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management
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Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management

Ivanov, Dmitry ; Tang, Christopher S. ; Dolgui, Alexandre ; Battini, Daria ; Das, Ajay

International journal of production research, 2021-04, Vol.59 (7), p.2055-2078 [Periódico revisado por pares]

London: Taylor & Francis

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Survey on Computer Vision for UAVs: Current Developments and Trends
Survey on Computer Vision for UAVs: Current Developments and Trends
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Survey on Computer Vision for UAVs: Current Developments and Trends

Kanellakis, Christoforos ; Nikolakopoulos, George

Journal of intelligent & robotic systems, 2017-07, Vol.87 (1), p.141-168 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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3
A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications
A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications
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A physics-informed machine learning approach for solving heat transfer equation in advanced manufacturing and engineering applications

Zobeiry, Navid ; Humfeld, Keith D.

Engineering applications of artificial intelligence, 2021-05, Vol.101, p.104232, Article 104232 [Periódico revisado por pares]

Elsevier Ltd

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4
Marine Predators Algorithm: A nature-inspired metaheuristic
Marine Predators Algorithm: A nature-inspired metaheuristic
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Marine Predators Algorithm: A nature-inspired metaheuristic

Faramarzi, Afshin ; Heidarinejad, Mohammad ; Mirjalili, Seyedali ; Gandomi, Amir H.

Expert systems with applications, 2020-08, Vol.152, p.113377, Article 113377 [Periódico revisado por pares]

New York: Elsevier Ltd

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5
Differential Evolution: A review of more than two decades of research
Differential Evolution: A review of more than two decades of research
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Differential Evolution: A review of more than two decades of research

Bilal ; Pant, Millie ; Zaheer, Hira ; Garcia-Hernandez, Laura ; Abraham, Ajith

Engineering applications of artificial intelligence, 2020-04, Vol.90, p.103479, Article 103479 [Periódico revisado por pares]

Elsevier Ltd

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6
Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration
Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration
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Model-Based Reinforcement Learning Variable Impedance Control for Human-Robot Collaboration

Roveda, Loris ; Maskani, Jeyhoon ; Franceschi, Paolo ; Abdi, Arash ; Braghin, Francesco ; Molinari Tosatti, Lorenzo ; Pedrocchi, Nicola

Journal of intelligent & robotic systems, 2020-11, Vol.100 (2), p.417-433 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications
Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications
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Scheduling in production, supply chain and Industry 4.0 systems by optimal control: fundamentals, state-of-the-art and applications

Dolgui, Alexandre ; Ivanov, Dmitry ; Sethi, Suresh P. ; Sokolov, Boris

International journal of production research, 2019-01, Vol.57 (2), p.411-432 [Periódico revisado por pares]

London: Taylor & Francis

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8
Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network
Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network
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Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network

Ben Ali, Jaouher ; Chebel-Morello, Brigitte ; Saidi, Lotfi ; Malinowski, Simon ; Fnaiech, Farhat

Mechanical systems and signal processing, 2015-05, Vol.56-57, p.150-172 [Periódico revisado por pares]

Elsevier Ltd

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9
Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak
Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak
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Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak

Ivanov, Dmitry ; Dolgui, Alexandre

International journal of production research, 2020-05, Vol.58 (10), p.2904-2915 [Periódico revisado por pares]

London: Taylor & Francis

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10
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
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Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment

Jamshidi, Mohammad ; Lalbakhsh, Ali ; Talla, Jakub ; Peroutka, Zdenek ; Hadjilooei, Farimah ; Lalbakhsh, Pedram ; Jamshidi, Morteza ; Spada, Luigi La ; Mirmozafari, Mirhamed ; Dehghani, Mojgan ; Sabet, Asal ; Roshani, Saeed ; Roshani, Sobhan ; Bayat-Makou, Nima ; Mohamadzade, Bahare ; Malek, Zahra ; Jamshidi, Alireza ; Kiani, Sarah ; Hashemi-Dezaki, Hamed ; Mohyuddin, Wahab

IEEE access, 2020-01, Vol.8, p.109581-109595 [Periódico revisado por pares]

Piscataway: IEEE

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