过去一年中添加的文章,按日期排序
Digitalization, Machine Learning Modeling and Control of an Experimental Electrochemical Reactor
B Citmaci - 2024 - escholarship.org
6 天前 - … At this point, data driven methods and machine learning (ML) can be used to model
the … on a computer interface using Smart Manufacturing principles, legacy sensors (such as …
the … on a computer interface using Smart Manufacturing principles, legacy sensors (such as …
Smart Eco-Friendly Manufacturing System with Aiot Applications
AK Singh - Available at SSRN 4862891 - papers.ssrn.com
6 天前 - … operations through data-driven decision-… smart manufacturing technology is that
it can measure variables linked to resource consumption and usage during the manufacturing …
it can measure variables linked to resource consumption and usage during the manufacturing …
[HTML][HTML] A Review on Fault Detection and Diagnosis of Industrial Robots and Multi-axis Machines
AH Sabry, UABU Amirulddin - Results in Engineering, 2024 - Elsevier
7 天前 - … (FDI) for smart manufacturing and industrial robotic systems … involved in industrial
robot manufacturing such as gearbox, … This work also partly explores data-driven approaches, …
robot manufacturing such as gearbox, … This work also partly explores data-driven approaches, …
Prognostics and health management for predictive maintenance: A review
C Huang, S Bu, HH Lee, CH Chan, SW Kong… - Journal of Manufacturing …, 2024 - Elsevier
10 天前 - … Smart manufacturing is a manufacturing paradigm that … in manufacturing shop
floors, as well as from manufactured … knowledge-based and data-driven models are applied to …
floors, as well as from manufactured … knowledge-based and data-driven models are applied to …
and Aditya Pendalwar Department of Mechanical Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India {sonal. shamkuwar, arijit …
S Shamkuwar, A Mondal, R More… - … Smart Energy: ICAIS 2024 … - books.google.com
10 天前 - … A promising solution known as federated learning (FL) enables data-driven AI
solutions to span diverse and potentially extensive networks. The FL-inspired architecture has …
solutions to span diverse and potentially extensive networks. The FL-inspired architecture has …
Toward dynamic rehabilitation management: A novel smart product-service system development approach based on fine-tuned large vision model and Fuzzy-Dematel
W Yuan, H Zhao, X Yang, T Han, D Chang - Advanced Engineering …, 2024 - Elsevier
11 天前 - … digital transformation, data-driven Smart Product-Service … end consumers or
manufacturers, with inadequate attention … Specifically, a data-driven predictive assessment …
manufacturers, with inadequate attention … Specifically, a data-driven predictive assessment …
[HTML][HTML] Hybrid Sine-Cosine Chimp optimization based feature selection with deep learning model for threat detection in IoT sensor networks
MA Alkhonaini, A Al Mazroa, M Aljebreen… - Alexandria Engineering …, 2024 - Elsevier
11 天前 - … These networks are essential in numerous businesses, such as healthcare,
manufacturing, agriculture, and smart cities, as they deliver real-time observation, data-driven …
manufacturing, agriculture, and smart cities, as they deliver real-time observation, data-driven …
Challenges and Opportunities to Advance Manufacturing Research for Sustainable Battery Life Cycles
B Johansson, M Despeisse, J Bokrantz, G Braun… - … in Manufacturing … - frontiersin.org
13 天前 - … manufacturing practices and discusses key research topics in battery manufacturing.
… production capabilities: data-driven solutions for production quality, smart maintenance, …
… production capabilities: data-driven solutions for production quality, smart maintenance, …
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BK Ram¹, N Sharma, AS Joshi¹… - Smart Technologies for a … - books.google.com
17 天前 - … Predictive maintenance and production analysis are pivotal in smart manufacturing,
… technologies and data-driven processes throughout the entire manufacturing value chain to …
… technologies and data-driven processes throughout the entire manufacturing value chain to …
Adoption of AI in functional safety systems–smart elevator condition monitoring by the deep learning based data-driven modelling approach
Y Wang - 2024 - theses.lib.polyu.edu.hk
18 天前 - … We proposed to utilise the deep learning-based data-driven methods to monitor the
… for elevators by the deep learning-based data-driven methods to fetch both the spatial and …
… for elevators by the deep learning-based data-driven methods to fetch both the spatial and …