[HTML][HTML] Challenges and prospects of climate change impact assessment on mangrove environments through mathematical models
The impacts of climate change, especially sea-level rise, are an increasing threat to the
world's coastal regions. Following recommendations made by the United Nations about the …
world's coastal regions. Following recommendations made by the United Nations about the …
Reinforcement learning with Gaussian processes for condition-based maintenance
S Peng - Computers & Industrial Engineering, 2021 - Elsevier
Condition-based maintenance strategies are effective in enhancing reliability and safety for
complex engineering systems that exhibit degradation phenomena with uncertainty. Such …
complex engineering systems that exhibit degradation phenomena with uncertainty. Such …
Digital twin technologies, architecture, and applications: A comprehensive systematic review and bibliometric analysis
R Ofosu, A Hosseinian-Far, D Sarwar - Blockchain and Other Emerging …, 2022 - Springer
Digital Twins, as a suite of technologies is progressively developing significant momentum
in several fields of study. Various research works have been conducted outlining the …
in several fields of study. Various research works have been conducted outlining the …
A probabilistic predictive model for assessing the economic reusability of load-bearing building components: Developing a Circular Economy framework
The reuse of load-bearing building components has the potential to promote the circular
economy in the building sector. One recent aspect of the efforts to improve reuse rates in …
economy in the building sector. One recent aspect of the efforts to improve reuse rates in …
Predicting the technical reusability of load-bearing building components: A probabilistic approach towards developing a Circular Economy framework
The construction sector is the largest consumer of raw materials and accounts for 25%–40%
of the total CO 2 emissions globally. Besides, construction activities produce the highest …
of the total CO 2 emissions globally. Besides, construction activities produce the highest …
A modular hybrid simulation framework for complex manufacturing system design
For complex manufacturing systems, the current hybrid Agent-Based Modelling and Discrete
Event Simulation (ABM–DES) frameworks are limited to component and system levels of …
Event Simulation (ABM–DES) frameworks are limited to component and system levels of …
Role of smart materials and digital twin (DT) for the adoption of electric vehicles in India
This paper aims to integrate Industry 4.0 technologies, precisely the Digital Twin concept
and smart materials, with the Electric Vehicle (EV) industry, to complement the adoption of …
and smart materials, with the Electric Vehicle (EV) industry, to complement the adoption of …
Scenario optimisation and sensitivity analysis for safe automated driving using gaussian processes
Assuring the safety of automated vehicles is essential for their timely introduction and
acceptance by policymakers and the public. To assess their safe design and robust decision …
acceptance by policymakers and the public. To assess their safe design and robust decision …
An optimisation framework for improving supply chain performance: case study of a bespoke service provider
M Farsi, A Bailly, D Bodin, V Penella, PL Pinault… - Procedia …, 2020 - Elsevier
A service supply chain can be described as a system of systems with a highly interactive and
complex network of suppliers, service providers, OEMs and customers. Supply chain …
complex network of suppliers, service providers, OEMs and customers. Supply chain …
A digital twin model for enhancing performance measurement in assembly lines
CI Papanagnou - Digital Twin Technologies and Smart Cities, 2020 - Springer
Dynamic manufacturing processes are characterized by a lack of coordination, complexity
and sheer volumes of data. Digital transformation technologies offer the manufacturers the …
and sheer volumes of data. Digital transformation technologies offer the manufacturers the …