International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 3
May-June 2026
Indexing Partners
Multi-Modal Explainable AI Framework for Real-Time Industrial Component Detection and Predictive Maintenance using Hybrid Deep Learning and Large Language Models
| Author(s) | Mr. Aravind P |
|---|---|
| Country | India |
| Abstract | The need for intelligent automation in the industrial environment has led to the need for components that can effectively and efficiently perform tasks such as detection, analysis, and prediction of failures. The paper presented a multimodal intelligent industrial assistant for the detection, segmentation, and prediction of failures in the industrial environment through the application of deep learning techniques. The proposed system can ensure performance and efficiency in the industrial environment. The proposed system can ensure performance and efficiency in the industrial environment through the application of advanced deep learning technologies such as Explainable AI, Grad CAM, attention maps, and many more. The proposed system can ensure performance and efficiency in the industrial environment through the application of a CNN-LSTM-based component for the analysis of wear and prediction of failures in the industrial environment. The proposed system can ensure performance and efficiency in the industrial environment through the application of large language models for the generation of structured human-like explanations such as functionality, failures, and many more. The proposed system can ensure performance and efficiency in the industrial environment, which is a critical need for the industrial environment. |
| Keywords | Industrial AI, Computer Vision, Object Detection, Vision Transformers, Explainable AI, Predictive Maintenance, Multi-modal Learning, Deep Learning, Large Language Models, Real-time Systems. |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 3, May-June 2026 |
| Published On | 2026-05-26 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i03.73955 |
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E-ISSN 2582-2160
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