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Št. zadetkov: 6
Izvirni znanstveni članek
Oznake: 3D tisk;aditivne tehnologije;selektivno lasersko taljenje;SLM;termična simulacija;napovedovanje temperature;temperatura bazena taline;skalabilnost;additive manufacturing;laser powder bed fusion;selective laser melting;part-scale thermal simulation;temperature history prediction;melt pool temperature;scalability;
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Leto: 2025 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: deep learning;manufacturing;data-driven modeling;variational autoencoder;
Discovering manufacturing processes has been largely experienced-based. We propose a shift to a systematic approach driven by dependencies between energy inputs and performance outputs. Uncovering these dependencies across diverse process classes requires a universal language that characterizes proc ...
Leto: 2025 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: aditivna proizvodnja;selektivno lasersko taljenje;napovedovanje variacij temperatur bazena taline;koaksialne meritve;strojno učenje;additive manufacturing;laser powder bed fusion;meltpool temperature variations;coaxial measurements;machine learning;
The pressing problem of laser powder bed fusion of metals (PBF-LB/M) is the inability to predict and mitigate undesired process conditions in a build. This study aims to develop an efficient and geometric-agnostic prediction tool for the variations of the average meltpool temperature of each layer g ...
Leto: 2024 Vir: Fakulteta za strojništvo (UL FS)
Izvirni znanstveni članek
Oznake: initial shear stress;saturated clay;dynamic strength parameter;failure criterion;
Effects of initial shear stress and vibration frequency on the dynamic strength characteristics of saturated clay
Leto: 2022 Vir: Inštitut za kovinske materiale in tehnologije (IMT)
Izvirni znanstveni članek
Oznake: SKINNY competition;integral cryptanalysis;impossible differential analysis;
Leto: 2019 Vir: Univerza na Primorskem (UP)
Video in druga učna gradiva
Oznake: computer science;network analysis;social networks
Memory-based collaborative filtering aims at predicting the utility of a certain item for a particular user based on the previous ratings from similar users and similar items. Previous studies in finding similar users and items are based on user-defined similarity metrics such as Pearson Correlation ...
Leto: 2008 Vir: videolectures.net
Št. zadetkov: 6
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