Concurrent Engineering-Research and Applications

Papers
(The TQCC of Concurrent Engineering-Research and Applications is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-01-01 to 2024-01-01.)
ArticleCitations
An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM53
Breast cancer diagnosis using multiple activation deep neural network51
Development of IoT—enabled data analytics enhance decision support system for lean manufacturing process improvement39
An efficient approach for brain tumor detection and segmentation in MR brain images using random forest classifier23
Enhancing knowledge management in the PSS detailed design: a case study in a food and bakery machinery company22
Smart paddy field monitoring system using deep learning and IoT18
Deep learning and complex network theory based analysis on socialized manufacturing resources utilisations and an application case study16
Mixed integer programming models for concurrent configuration design and scheduling in a reconfigurable manufacturing system16
Efficient sensitivity orient blockchain encryption for improved data security in cloud16
Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning14
Agile-Concurrent hybrid: A framework for concurrent product development using Scrum14
Artificial intelligence techniques for industrial automation and smart systems14
Integrated maintenance/spare parts management for manufacturing system according to variable production rate impacting the system degradation13
Computational intelligence, machine learning techniques, and IOT13
Assembly line balance research methods, literature and development review13
How to successfully introduce concurrent engineering into new product development?12
On-tree fruit monitoring system using IoT and image analysis11
Quality Function Deployment and Analytic Hierarchy Process: A literature review of their joint application11
Integrity and memory consumption aware electronic health record handling in cloud11
R&D roadmap for process robotization driven to the digital transformation of the industry 4.010
Product development process for IoT-ready products10
Breast cancer prediction using an optimal machine learning technique for next generation sequences9
Machine learning-based design features decision support tool via customers purchasing data analysis9
Supporting feature-oriented evolution in industrial automation product lines9
Computer-aided diagnosis for breast cancer detection and classification using optimal region growing segmentation with MobileNet model8
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images8
Machine learning in optimization of multi-hole drilling using a hybrid combinatorial IGSA algorithm7
Natural language processing methods for knowledge management—Applying document clustering for fast search and grouping of engineering documents6
Managing concurrent execution of multiple activities in product development process6
A cloud integrated strategy for reconfigurable manufacturing systems6
Dynamic platform modeling for concurrent product-production reconfiguration6
A cost-effective computer vision-based vehicle detection system6
Resource utilization prediction technique in cloud using knowledge based ensemble random forest with LSTM model6
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