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Applications, Modern Trends, and Challenges of Multiscale Modeling in Smart Cities
Megacities are intricate systems that struggle with difficulties including overcrowding, subpar
urban design and planning, inadequate mobility and public transportation, subpar …
urban design and planning, inadequate mobility and public transportation, subpar …
[HTML][HTML] Framework for the strategic adoption of industry 4.0: a focus on intelligent systems
Despite growing interest in smart manufacturing, there is little information on how
organizations can approach the alignment of strategic processes with Industry 4.0. This …
organizations can approach the alignment of strategic processes with Industry 4.0. This …
[HTML][HTML] Predictive maintenance planning for industry 4.0 using machine learning for sustainable manufacturing
With the advent of the fourth industrial revolution, the application of artificial intelligence in
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
the manufacturing domain is becoming prevalent. Maintenance is one of the important …
Deep learning-based transfer learning for classification of skin cancer
One of the major health concerns for human society is skin cancer. When the pigments
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
producing skin color turn carcinogenic, this disease gets contracted. A skin cancer diagnosis …
[HTML][HTML] An integrated outlook of Cyber–Physical Systems for Industry 4.0: Topical practices, architecture, and applications
Industry 4.0 requires a strong understanding of Cyber–Physical Systems (CPS). An Industry
4.0-enabled manufacturing environment that offers real-time data gathering, transparency …
4.0-enabled manufacturing environment that offers real-time data gathering, transparency …
Construction of sustainable digital factory for automated warehouse based on integration of ERP and WMS
Q Tong, X Ming, X Zhang - Sustainability, 2023 - mdpi.com
The integration and application of a warehouse system and manufacturing system has
become a manufacturing problem for enterprises. The main reason is that the information …
become a manufacturing problem for enterprises. The main reason is that the information …
Edge intelligence and agnostic robotic paradigm in resource synchronisation and sharing in flexible robotic and facility control system
The agnostic robotic paradigm (ARP) represents a recent development as the use of robots
becomes more common, and there is a need for agnostic robots to cope with rich artificial …
becomes more common, and there is a need for agnostic robots to cope with rich artificial …
Big data-based smart health monitoring system: using deep ensemble learning
Human life has become smarter by utilizing big data, telecommunication technologies, and
wearable sensors over pervasive computing to give better healthcare services. Big data is …
wearable sensors over pervasive computing to give better healthcare services. Big data is …
[HTML][HTML] Federated split learning model for industry 5.0: A data poisoning defense for edge computing
Industry 5.0 provides resource-efficient solutions compared to Industry 4.0. Edge Computing
(EC) allows data analysis on edge devices. Artificial intelligence (AI) has become the focus …
(EC) allows data analysis on edge devices. Artificial intelligence (AI) has become the focus …
Annealing of monel 400 alloy using principal component analysis, hyper-parameter optimization, machine learning techniques, and multi-objective particle swarm …
The purpose of this paper is to investigate the effect of the annealing process at 1000° C on
machining parameters using contemporary techniques such as principal component …
machining parameters using contemporary techniques such as principal component …