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...
Machine learning Fermentation optimization Automated fermentation process control Efficient bioproduction Process Design 1. Introduction Fermentation is the process by which specific metabolic pathways of microorganisms are utilized to produce metabolites. With the rapid development of industry, modern fermentation...
and at least one processor configured to modify at least one complex stimulation pattern deliverable by the plurality of electrodes by integrating data from the one or more sensors and performing a machine learning method implementing a Gaussian Process Optimization on the at least one complex stimulat...
Digital twins and interactive workflows of multi-physics processes using Simulink, Simscape, and Stateflow Optimized predictive analytics and code generation using predictive maintenance, Optimization Toolbox, and MATLAB Coder Big data, real-time analytics, and deployment using deep learning, parallel compu...
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 ...
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...
Step 3: Data Transformation: Transform preprocessed data ready for machine learning by engineering features using scaling, attribute decomposition and attribute aggregation. You can learn more about this process for preparing data in the post:
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....
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...
Process intelligence is key to evaluating whether your processes are putting you on track towards your goals. Learn how Camunda Optimize and Process KPIs can help. Learn more Learn how to incorporate ongoing changes to improve your business automation in the Definitive Guide to Continuous Process Imp...