Found: 16
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Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers.
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- PLoS ONE, 2024, v. 19, n. 7, p. 1, doi. 10.1371/journal.pone.0305744
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- Article
Surface roughness prediction of AISI D2 tool steel during powder mixed EDM using supervised machine learning.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-60543-3
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- Article
Tribological analysis of titanium alloy (Ti-6Al-4V) hybrid metal matrix composite through the use of Taguchi's method and machine learning classifiers.
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- Frontiers in Materials, 2024, p. 1, doi. 10.3389/fmats.2024.1375200
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- Article
Optimization of tensile strength in 3D printed PLA parts via meta-heuristic approaches: a comparative study.
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- Frontiers in Materials, 2024, p. 1, doi. 10.3389/fmats.2023.1336837
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- Article
Experimental, Modal, and Harmonie Response Analysis of a Chladni Plate at Ultrasonic Frequencies.
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- Engineering, Technology & Applied Science Research, 2023, v. 13, n. 6, p. 12289, doi. 10.48084/etasr.6428
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- Article
Surface roughness and surface crack length prediction using supervised machine learning–based approach of electrical discharge machining of deep cryogenically treated NiTi, NiCu, and BeCu alloys.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 128, n. 11/12, p. 5595, doi. 10.1007/s00170-023-12269-1
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- Article
Synthesis and characterization of diamond-like carbon coatings for drill bits using plasma-enhanced chemical vapor deposition.
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- International Journal of Advanced Manufacturing Technology, 2023, v. 127, n. 9/10, p. 4081, doi. 10.1007/s00170-023-11794-3
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- Article
Explainable Artificial Intelligence (XAI) and Supervised Machine Learning-based Algorithms for Prediction of Surface Roughness of Additively Manufactured Polylactic Acid (PLA) Specimens.
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- Applied Mechanics, 2023, v. 4, n. 2, p. 668, doi. 10.3390/applmech4020034
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- Article
Prediction of Wear Rate in Al/SiC Metal Matrix Composites Using a Neurosymbolic Artificial Intelligence (NSAI)-Based Algorithm.
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- Lubricants (2075-4442), 2023, v. 11, n. 6, p. 261, doi. 10.3390/lubricants11060261
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- Article
Machine Learning Based Predictive Modeling of Electrical Discharge Machining of Cryo-Treated NiTi, NiCu and BeCu Alloys.
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- Applied System Innovation (ASI), 2022, v. 5, n. 6, p. 107, doi. 10.3390/asi5060107
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- Article
Mechanical Properties of 3D-Printed Components Using Fused Deposition Modeling: Optimization Using the Desirability Approach and Machine Learning Regressor.
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- Applied System Innovation (ASI), 2022, v. 5, n. 6, p. 112, doi. 10.3390/asi5060112
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- Article
Investigating the effect of cryogenic treatment of workpieces and tools on electrical discharge machining performance.
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- AIMS Materials Science, 2022, v. 9, n. 6, p. 835, doi. 10.3934/matersci.2022051
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- Article
Review Of Content Based Image Retrieval In P2p Environment With Relevance Feedback.
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- Journal of Pharmaceutical Negative Results, 2022, v. 13, p. 7502, doi. 10.47750/pnr.2022.13.S07.904
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- Article
Review Of Feature Extraction Techniques In Content Based Image Retrieval.
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- Journal of Pharmaceutical Negative Results, 2022, v. 13, p. 7508, doi. 10.47750/pnr.2022.13.S07.905
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- Article
Optimization of PMEDM process parameter for maximizing material removal rate by Taguchi's method.
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- International Journal of Advanced Manufacturing Technology, 2016, v. 87, n. 5-8, p. 1929, doi. 10.1007/s00170-016-8586-4
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- Article
Copper oxide nano-particles as friction-reduction and anti-wear additives in lubricating oil.
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- Journal of Mechanical Science & Technology, 2015, v. 29, n. 2, p. 793, doi. 10.1007/s12206-015-0141-y
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- Article