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Prediction and optimization of mechanical properties of Ni based and Fe–Ni based super alloys via neural network approach with alloying composition parameter
by
Fatriansyah, Jaka Fajar
,
Suhariadi, Iping
,
Fauziyyah, Haya Ayu
,
Syukran, Ibnu Rais
,
Hartoyo, Fernanda
,
Dhaneswara, Donanta
,
Lockman, Zainovia
,
Fauzi, Andrian
,
Rohman, Muhammad Syaikh
Published in
Journal of materials research and technology
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Deep learning for life cycle assessment (LCA) score prediction on plastic bottle packaging products
by
Fatriansyah, Jaka Fajar
,
Thaqia, Aurelia Divanti
,
Rohman, Muhammad Syaikh
,
Hartoyo, Fernanda
,
Dhaneswara, Donanta
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Life cycle assessment (LCA) score prediction using deep learning on detergent plastic packing products
by
Fatriansyah, Jaka Fajar
,
Putri, Anisa Rahmania
,
Hartoyo, Fernanda
,
Pradana, Agrin Febrian
,
Fauzi, Andrian
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Weibull distribution optimization for piping risk calculation due to uniform corrosion using Monte Carlo method
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Hartoyo, Fernanda
,
Irianti, Gabriella Pasya
,
Fatriansyah, Jaka Fajar
,
Ovelia, Hanna
,
Mas'ud, Imam Abdillah
,
Digita, Farhan Rama
,
Fauzi, Andrian
,
Anis, Muhammad
Published in
Materials today : proceedings
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Journal Of Materials Research And Technology
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Materials Today : Proceedings
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Materials Today: Proceedings
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Deep Learning
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Life Cycle Assessment
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Machine Learning
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Packaging
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Algorithms
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Artificial Neural Network
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Failure
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Fe–Ni Based Super Alloy
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Impact Analysis
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Learning Programs
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Life Cycle Analysis
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Materials Science
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Materials Science, Multidisciplinary
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Mechanical Property
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Metallurgy & Metallurgical Engineering
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Monte Carlo
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Ni Based Super Alloy
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Pipeline
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Plastic Bottle Packaging Products
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Product Life Cycle
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