A multi-task model for failure identification and GPS assessment in metro trains by Pratik Vinayak Jadhav, Sairam V. A, Siddharth Sonkavade, Shivali Amit Wagle, Preksha Pareek, Ketan Kotecha, Tanupriya Choudhury

Subjects: “…predictive maintenance…”
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Hybrid learning strategies: integrating supervised and reinforcement techniques for railway wheel wear management with limited measurement data by Jessada Sresakoolchai, Chayut Ngamkhanong, Sakdirat Kaewunruen

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A Framework for Integrating Vision Transformers with Digital Twins in Industry 5.0 Context by Attila Kovari

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Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing by Zepei Li, Peng Zheng, Yanjia Tian

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Integrating Knowledge Graphs and Digital Twins for Heritage Building Conservation by Haidar Hosamo, Silvia Mazzetto

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Fault Diagnosis of Wind Turbines Based on Improved Dynamic Network Marker by Zesheng Pan, Ruiming Fang, Tingyu Wei, Rongyan Shang, Changqing Peng

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Unsupervised and Semisupervised Machine Learning Frameworks for Multiclass Tool Wear Recognition by Maryam Assafo, Peter Langendoerfer

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Prediction of induction motor faults using machine learning by Ademola Abdulkareem, Tochukwu Anyim, Olawale Popoola, John Abubakar, Agbetuyi Ayoade

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Enhanced Fault Diagnosis in Rotating Machinery Using a Hybrid CWT-LeNet-5-LSTM Model: Performance Across Various Load Conditions by Muhammad Ahsan, Muhammad Waqar Hassan, Jose Rodriguez, Mohamed Abdelrahem

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