Deep Neural Multi-Layer Perceptron Integrated Hybrid Engineering for IIoT Resource Management

The combination of both Deep Neural Multi-Layer Perceptron (DNMLP) and Model-Based Engineering (MBE) creates a novel hybrid engineering methodology for the resource management in IIoT applications. The DNMLP-MBE framework builds upon cloud-based IIoT architectures to improve the productivity, energy...

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Bibliographic Details
Published in:	2025 2nd International Conference On Multidisciplinary Research and Innovations in Engineering (MRIE) pp. 583 - 588
Main Authors:	Uvaneshwari, M, Singh, Anil Pratap, Ambika, K., Parvathy, K, Bhatt, Nirav, Takkella, Radhika
Format:	Conference Proceeding
Language:	English
Published:	IEEE 30.07.2025
Subjects:	Computational modeling Computer architecture Costs Data models Deep learning DNMLP IIoT Industrial Internet of Things Job shop scheduling MBE Multi - view modeling Neural networks Optimization Processor scheduling Pumping systems Resource management Task scheduling
Online Access:	Get full text
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