Quantum information processing with superconducting circuits: a review

G Wendin - Reports on Progress in Physics, 2017 - iopscience.iop.org
During the last ten years, superconducting circuits have passed from being interesting
physical devices to becoming contenders for near-future useful and scalable quantum …

The evolution of production scheduling from Industry 3.0 through Industry 4.0

Z Jiang, S Yuan, J Ma, Q Wang - International Journal of …, 2022 - Taylor & Francis
Since the Third Industrial Revolution, technology and the global economy have developed
rapidly. Driven by market demand and the development of science and technology, the …

A new European Bauhaus for a culture of transversality and sustainability

MJ Rosado-García, R Kubus, R Argüelles-Bustillo… - Sustainability, 2021 - mdpi.com
This article provides a critical study of a New European Bauhaus initiative in the context of
transversality, relational nature and sustainability of construction, architecture and civil …

Scheduling under uncertainty for Industry 4.0 and 5.0

K Bakon, T Holczinger, Z Süle, S Jaskó… - IEEE Access, 2022 - ieeexplore.ieee.org
This article provides a review about how uncertainties in increasingly complex production
and supply chains should be addressed in scheduling tasks. Uncertainty management will …

Dynamic scheduling method for job-shop manufacturing systems by deep reinforcement learning with proximal policy optimization

M Zhang, Y Lu, Y Hu, N Amaitik, Y Xu - sustainability, 2022 - mdpi.com
With the rapid development of Industrial 4.0, the modern manufacturing system has been
experiencing profoundly digital transformation. The development of new technologies helps …

Data sharing in industry 4.0-automationML, B2MML and international data spaces-based solutions

T Czvetkó, J Abonyi - Journal of Industrial Information Integration, 2023 - Elsevier
The concept of a data ecosystem and Industry 4.0 requires high-level vertical and horizontal
interconnectivity across the entire value chain. Its successful realization demands …

The applicability of reinforcement learning methods in the development of industry 4.0 applications

T Kegyes, Z Süle, J Abonyi - Complexity, 2021 - Wiley Online Library
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …

Technology integration in Philippine higher education: A content-based bibliometric analysis

MCD Cadiz, LAF Manuel… - Jurnal Ilmiah …, 2024 - mail.online-journal.unja.ac.id
The penetration of technological advancements into higher education institutions is a
multifaceted phenomenon influenced by diverse considerations. This paper breaks new …

Making cities smarter—optimization problems for the iot enabled smart city development: A map** of applications, objectives, constraints

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Sensors, 2022 - mdpi.com
One of the prime aims of smart cities has been to optimally manage the available resources
and systems that are used in the city. With an increase in urban population that is set to grow …

Modular-topology optimization of structures and mechanisms with free material design and clustering

M Tyburec, M Doškář, J Zeman, M Kružík - Computer Methods in Applied …, 2022 - Elsevier
Topology optimization of modular structures and mechanisms enables balancing the
performance of automatically-generated individualized designs, as required by Industry 4.0 …