Journal ArticleDOI
State-of-the-Art Review of Machine Learning Applications in Additive Manufacturing; from Design to Manufacturing and Property Control
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This article is published in Archives of Computational Methods in Engineering.The article was published on 2022-07-22. It has received 11 citations till now. The article focuses on the topics: Computer science & Process (computing).read more
Citations
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Journal ArticleDOI
Computational Modelling and Experimental Challenges of Linear and Nonlinear Analysis of Porous Graded Structure: A Comprehensive Review
Journal ArticleDOI
Enhancing 3D-CNN-based Geometric Feature Recognition for Adaptive Additive Manufacturing: A SDF Data Approach
TL;DR: In this article , a 3D-CNN-based feature recognition approach using signed distance field data to limit the needed resolution is presented to align the inference representations to modeling paradigms for complex design models like architected materials.
Journal ArticleDOI
Multiphysics (Stress and Deformation) Behaviour of Stented Bifurcated Coronary Artery (Soft Tissue) Under Pulsatile Flow Condition
Journal ArticleDOI
Femtosecond laser-made 3D micro-chainmail scaffolds towards regenerative medicine
Linas Jonušauskas,Arnoldas Pautienius,Egle Ezerskyte,Juozas Grigas,Deividas Andriukaitis,Henrikas Gricius,Tomas Baravykas,Dovile Andrijec,Rokas Vargalis,Greta Bandzevi̇či̇ūtė,Arunas Stankevicius +10 more
References
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Journal ArticleDOI
Long short-term memory
TL;DR: A novel, efficient, gradient based method called long short-term memory (LSTM) is introduced, which can learn to bridge minimal time lags in excess of 1000 discrete-time steps by enforcing constant error flow through constant error carousels within special units.
Journal ArticleDOI
Deep learning
TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
Book
Deep Learning
TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Proceedings ArticleDOI
XGBoost: A Scalable Tree Boosting System
Tianqi Chen,Carlos Guestrin +1 more
TL;DR: XGBoost as discussed by the authors proposes a sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning to achieve state-of-the-art results on many machine learning challenges.
Proceedings ArticleDOI
XGBoost: A Scalable Tree Boosting System
Tianqi Chen,Carlos Guestrin +1 more
TL;DR: This paper proposes a novel sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning and provides insights on cache access patterns, data compression and sharding to build a scalable tree boosting system called XGBoost.
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