Review on Deep Learning Driven analysis of Biomedical Waste Incinerator Corrosion
Author:
Affiliation:
1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India
2. Punjabi University,Mech. Engg. Deptt.,Patiala,Punjab
3. University College Miranpur Punjabi University,Deptt. of Computer Science,Patiala,Punjab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9823381/9823413/09823418.pdf?arnumber=9823418
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1. Improving the high-temperature oxidation resistance of ASME-SA213-T11 boiler tube steel by plasma spraying with CNT-reinforced alumina coatings
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3. Design and Development of IoT Enabled Hybrid Wheelchair cum Bed
4. Application of High Temperature Corrosion-Resistant Materials and Coatings Under Severe Corrosive Environment in Waste-to-Energy Boilers
5. Hot Corrosion in Bio Medical Waste Incinerator and Cold Spray Coatings - A Review
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Systematic Review of Waste Management Solutions Using Machine Learning, Internet of Things and Blockchain Technologies: State-of-Art, Methodologies, and Challenges;Archives of Computational Methods in Engineering;2023-10-20
2. Biomedical Waste Incinerator Degradation Investigation Supported by Deep Learning;2022 IEEE International Conference on Current Development in Engineering and Technology (CCET);2022-12-23
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