A Deep Swarm-Optimized Model for Leveraging Industrial Data Analytics in Cognitive Manufacturing
Kumar, A.; Jaiswal, A.
IEEE Transactions on Industrial Informatics 17(4): 2938-2946
2021
ISSN/ISBN: 1551-3203 DOI: 10.1109/tii.2020.3005532
Accession: 080990363
Full-Text Article emailed within 0-6 h
Payments are secure & encrypted
References
Mathew, B.A. 2019: Data analytics – Leveraging cloud-based data & analytics to optimize pharmaceutical manufacturing Drug Development and Delivery 19(7)Pschybilla, T.; Baumann, D.; Manz, S.; Wenger, W.; Bauernhansl, T. 2018: A maturity model for the classification of real-world applications of data analytics in manufacturing environment; Data Analytics in der Produktion: Reifegradmodell zur Einordnung von Anwendungsfällen der Data Analytics im Produktionsumfeld WT Werkstattstechnik 108(7-8): 543-548
Throne, O.; Lazaroiu, G. 2020: Internet of things-enabled sustainability, industrial big data analytics, and deep learning-assisted smart process planning in cyber-physical manufacturing systems Economics, Management, and Financial Markets 15(4): 49-58
Jiang, X.; Cheng, Y.; Song, Z.; Ma, X.; Ye, L.; Ge, Z. 2025: Swarm Learning for Secure and Effective Industrial Federated Big Data Analytics IEEE Transactions on Reliability 74(2): 2893-2903
Lungu, N.; Patra, S.S.; Dash, B.B.; De, U.C. 2025: Leveraging Big Data Analytics and Applied Mathematics for Predictive Maintenance in Industrial Automation Systems 4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025 - Proceedings: 288-294
Zhu, D.; Xu, Z.; Xu, X.; Zhao, Q.; Qi, L.; Srivastava, G. 2021: Cognitive Analytics of Social Media Services for Edge Resource Pre-Allocation in Industrial Manufacturing IEEE Transactions on Computational Social Systems 8(2): 500-511
Kanagavelu, R.; Li, Z.; Samsudin, J.; Hussain, S.; Yang, F.; Yang, Y.; Goh, R.S.M.; Cheah, M. 2021: Federated Learning for Advanced Manufacturing Based on Industrial IoT Data Analytics Intelligent Systems Reference Library 202: 143-176
Demirkan, H.; Delen, D. 2013: Leveraging the capabilities of service-oriented decision support systems: Putting analytics and big data in cloud : Data, Information and Analytics as Services Decision Support Systems 55(1): 412-421
Lytras, M.D.; Visvizi, A.; Zhang, X.; Aljohani, N.R. 2020: Cognitive computing, Big Data Analytics and data driven industrial marketing Industrial Marketing Management 90: 663-666
Faivre, O. 2025: Leveraging on Common Information Model (CIM) for Big Data Analytics IET Conference Proceedings 2025(14): 1879-1883
Zuecco, F.; Facco, P.; Hoeser, S.R.; Fogli, M.R.; Cicciotti, M.; Bezzo, F.; Barolo, M. 2020: Troubleshooting an Industrial Batch Process for the Manufacturing of Specialty Chemicals using Data Analytics Computer Aided Chemical Engineering 48: 1129-1134
Kotha, M.; Apat, S.K.; Shareef, M.M.; Sushma, E.; Afreen, S.S.; Okali, R. 2025: Cloud-Based Big Data Analytics for Chronic Disease Detection: Leveraging Deep Learning for Enhanced Accuracy Lecture Notes in Networks and Systems 1356 LNNS: 549-564
Ben Atitallah, S.; Driss, M.; Boulila, W.; Ben Ghezala, H.H. 2020: Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions Computer Science Review 38: 100303
Ateeq, K.; Mago, B.; Pradhan, M.R. 2021: A novel flexible data analytics model for leveraging the efficiency of smart education Soft Computing 25(18): 12305-12318
Balakrishnan, N.; Rajendran, A.; Palanivel, K. 2019: Meticulous fuzzy convolution C means for optimized big data analytics: adaptation towards deep learning International Journal of Machine Learning and Cybernetics 10(12): 3575-3586
Devi, S.S.; Bhuvaneswari, A. 2021: Quantile Regressive Fish Swarm Optimized Deep Convolutional Neural Learning for Reliable Data Transmission in Iov International Journal of Computer Networks and Communications 13(2): 81-97
Mehta, N.; Shukla, S. 2022: Pandemic Analytics: how Countries are Leveraging Big Data Analytics and Artificial Intelligence to Fight COVID-19? Sn Computer Science 3(1): 54
Moench, E. 2017: Industrial analytics: Methodologies and data systems for the Industrial Internet of Things (IIoT); Industrial analytics: Methodiken und Datensysteme für das Industrial Internet (IIoT) Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) 265: 569-571
Kumar, S.D.; Sonkar, S.K.; Singh, V. 2026: A PSO-Optimized MLP Model for Financial Time Series Forecasting: Integrating Swarm Intelligence with Deep Learning Communications in Computer and Information Science 2730 CCIS: 66-77
Wang, Q.; Jiao, W.; Wang, P.; Zhang, Y. 2021: A tutorial on deep learning-based data analytics in manufacturing through a welding case study Journal of Manufacturing Processes 63: 2-13