Machine ToolRUSSIAN Engineer ResearchSurface ModuleBlagonravov InstituteThe classification of machine tools by function is proposed in terms of the set of surface modules that they may produce.doi:10.3103/S1068798X1108003XB. M. BazrovE. Z. Nasirov...
Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas machine-learningawesomedeep-learningdatasetforecastingclassificationimage-classificationawesome-listmulti-label-classificationseries-forecasting UpdatedMar 13, 2023 all kinds of text classification models and more with deep learning ...
This work examines the application of machine learning (ML) algorithms to evaluate dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed transformers (OITs). Transformers are pivotal equipment in the transmission and distribution of electrical power. The failure of a ...
To get started, in the Classifier list, try All Quick-To-Train to train a selection of models. See Automated Classifier Training. More Open the Classification Learner App MATLAB Toolstrip: On the Apps tab, under Machine Learning, click the app icon. MATLAB command prompt: Enter classification...
Machine learning techniques can reveal hidden structures in large amounts of data and have the potential to replace analytical scientific methods. Electromagnetic simulations of photonic nanostructures often produce data in significant amounts, particula
Unfortunately, large scale systems cannot be easily machine-learned due to a lack of directly supervised data. 不幸的是,由于缺乏直接监督的数据,大型系统不容易进行机器学习。 We propose a method that learns to assign MRs to a wide range of text (using a dictionary of more than 70,000 words ma...
Thermal error compensation method for machine tools A thermal error compensation method for machine tools is disclosed, which comprises the steps of: disposing at least a thermal sensor at positions neighboring to the at least one heat source of a machine tool; driving the machine tool to... FM...
User-Friendly: The small size of 28x28 (2D) or 28x28x28 (3D) is lightweight and ideal for evaluating machine learning algorithms. We also offer a larger-size version, MedMNIST+: 64x64 (2D), 128x128 (2D), 224x224 (2D), and 64x64x64 (3D). Serving as a complement to the 28...
Image classification is a type of image analysis that uses machine learning to identify patterns and differences in land cover in drone, aerial, or satellite imagery. Land cover classification maps can be used to monitor deforestation in vulnerable regions; identify the amount of impervious surfaces ...
The high speed and specificity of GIANA motivated us to further develop a query module to cluster new TCR samples with an existing reference dataset, a function that is missing in all current tools. We transformed reference and query TCRs into Euclidean space with linear complexity and searched ...