Concurrent Engineering-Research and Applications

Papers
(The TQCC of Concurrent Engineering-Research and Applications is 7. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM56
Breast cancer diagnosis using multiple activation deep neural network52
Development of IoT—enabled data analytics enhance decision support system for lean manufacturing process improvement46
An efficient approach for brain tumor detection and segmentation in MR brain images using random forest classifier29
Smart paddy field monitoring system using deep learning and IoT25
Enhancing knowledge management in the PSS detailed design: a case study in a food and bakery machinery company24
Computer-aided diagnosis for breast cancer detection and classification using optimal region growing segmentation with MobileNet model20
Deep learning and complex network theory based analysis on socialized manufacturing resources utilisations and an application case study17
Assembly line balance research methods, literature and development review16
Efficient sensitivity orient blockchain encryption for improved data security in cloud16
Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning16
On-tree fruit monitoring system using IoT and image analysis14
Artificial intelligence techniques for industrial automation and smart systems14
Agile-Concurrent hybrid: A framework for concurrent product development using Scrum14
Breast cancer prediction using an optimal machine learning technique for next generation sequences13
Quality Function Deployment and Analytic Hierarchy Process: A literature review of their joint application13
Computational intelligence, machine learning techniques, and IOT13
Supporting feature-oriented evolution in industrial automation product lines12
How to successfully introduce concurrent engineering into new product development?12
Integrity and memory consumption aware electronic health record handling in cloud12
Product development process for IoT-ready products11
R&D roadmap for process robotization driven to the digital transformation of the industry 4.011
Natural language processing methods for knowledge management—Applying document clustering for fast search and grouping of engineering documents10
Machine learning-based design features decision support tool via customers purchasing data analysis9
Deep learning based fusion model for COVID-19 diagnosis and classification using computed tomography images8
Resource utilization prediction technique in cloud using knowledge based ensemble random forest with LSTM model8
A cost-effective computer vision-based vehicle detection system7
Managing concurrent execution of multiple activities in product development process7
RETRACTED: The role of industry 4.0 technologies in overcoming pandemic challenges for the manufacturing sector7
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