OptimizationMachine LearningCircular EconomyThe sustainable manufacturing of goods is one of the factors to minimize natural resource depletion and CO2emissions. In the last decade a big effort has been done to transition from linear economy to circular economy. This transition requires to implement re...
uncover insights using the expressive report builder. Detailed filters, process heatmaps, plus branch and outlier analysis tools allow you to identify areas of opportunity.Supercharge your process optimization withAI machine learning-ready datasets. ...
Routability Optimization for Industrial Designs at Sub-14nm Process Nodes Using Machine Learning 来自 Semantic Scholar 喜欢 0 阅读量: 181 作者:Wei Ting Jonas Chan,Peihsin Ho,AB Kahng,Prashant C Saxena 摘要: Design rule check (DRC) violations after detailed routing prevent a design from being ...
Gaussian process optimization usingGPy. Performs global optimization with different acquisition functions. Among other functionalities, it is possible to use GPyOpt to optimize physical experiments (sequentially or in batches) and tune the parameters of Machine Learning algorithms. It is able to handle la...
Machine learning algorithmsData miningDrilling processBurr detectionQuality controlProcess optimizationThis paper presents a particular problem dealing with the apparition of burr during the drilling process in the aeronautic industry. This burr cannot exceed a height limit of 127渭m as set out by the ...
如analysis的推广是nonlinear functional analysis、optimization的推广是calculus of variation、probability的推广是Malliavin calculus。前面两者都在optimal transport / optimal control / mean-field control的分析中或多或少用到,虽然用的时候没把它们当作成体系的工具;最后一块(Malliavin calculus)是我最近学GP才稍稍触...
The rapid and accurate detection of some defect classes are beginning to be realised in the field of laser metal AM. A recent study by Ren et al. (2023) reported 100% prediction accuracy for keyhole pore detection in PBF-LB/M/Ti6Al4V using supervised machine learning on IR imaging data....
Machine Learning and Data Mining Techniques for Human Resource Optimization Process—Employee Attrition 来自 Springer 喜欢 0 阅读量: 5 作者:LG Tanasescu,AR Bologa 摘要: This paper will present how machine learning and data mining techniques can be used in order to address one important challenge ...
The optimal processing path is identified simultaneously in an inner loop by using the Q-learning approach. 2.2. Application case 2.2.1. Crystallographic texture optimization To study it's functionality, the structure-guided materials and process design approach is applied to a crystallographic texture...
optimizationcudaparallel-programminghawkeshawkes-process UpdatedSep 1, 2021 Cuda Load more… Improve this page Add a description, image, and links to thehawkes-processtopic page so that developers can more easily learn about it. Add this topic to your repo ...