Predictive maintenance of machine tool systems using artificial intelligence techniques applied to machine condition data
Often, manufacturing equipment is utilized without a planned maintenance approach. Such
a strategy frequently results in unplanned downtime, owing to unexpected failures …
a strategy frequently results in unplanned downtime, owing to unexpected failures …
Monitoring of a machining process using kernel principal component analysis and kernel density estimation
Tool wear is one of the consequences of a machining process. Excessive tool wear can lead
to poor surface finish, and result in a defective product. It can also lead to premature tool …
to poor surface finish, and result in a defective product. It can also lead to premature tool …
[PDF][PDF] The effect of gamma value on support vector machine performance with different kernels
Currently, the support vector machine (SVM) regarded as one of supervised machine
learning algorithm that provides analysis of data for classification and regression. This …
learning algorithm that provides analysis of data for classification and regression. This …
Automated detection of pneumoconiosis with multilevel deep features learned from chest X-Ray radiographs
Early detection of pneumoconiosis in X-Rays has been a challenging task that leads to high
inter-and intra-reader variability. Motivated by the success of deep learning in general and …
inter-and intra-reader variability. Motivated by the success of deep learning in general and …
Detection and visualisation of pneumoconiosis using an ensemble of multi-dimensional deep features learned from Chest X-rays
Pneumoconiosis is a group of occupational lung diseases induced by mineral dust
inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung …
inhalation and subsequent lung tissue reactions. It can eventually cause irreparable lung …
An incremental method combining density clustering and support vector machines for voice pathology detection
R Amami, A Smiti - Computers & Electrical Engineering, 2017 - Elsevier
Abstract Machine learning techniques are a valuable tool for discriminative classification.
They have been applied to a diverse range of applications in speech processing, such as …
They have been applied to a diverse range of applications in speech processing, such as …
Development of an intelligent tool condition monitoring system to identify manufacturing tradeoffs and optimal machining conditions
Smart manufacturing has leveraged the evolution of a sensor-based and data-driven
platform to improve manufacturing outcomes. As a result of increased use of sensors and …
platform to improve manufacturing outcomes. As a result of increased use of sensors and …
Indonesian Sentiment Analysis: An Experimental Study of Four Kernel Functions on SVM Algorithm with TF-IDF
PH Prastyo, I Ardiyanto… - … Conference on Data …, 2020 - ieeexplore.ieee.org
Recently, Indonesian sentiment analysis is a hot research field, especially for twitter data.
Many approaches can be used to classify people's sentiment on Twitter. One of the best …
Many approaches can be used to classify people's sentiment on Twitter. One of the best …
Towards deep object detection techniques for phoneme recognition
M Algabri, H Mathkour, MA Bencherif… - IEEE …, 2020 - ieeexplore.ieee.org
The use of cutting edge object detection techniques to build an accurate phoneme
sequence recognition system for English and Arabic languages is investigated in this study …
sequence recognition system for English and Arabic languages is investigated in this study …
Hyper-parameter tuning for support vector machine using an improved cat swarm optimization algorithm
SA Abdulraheem, S Aliyu… - Journal of the Nigerian …, 2023 - journal.nsps.org.ng
Support vector machine (SVM) is a supervised machine learning algorithm for classification
and regression problems. SVM performs better when combined with other classifiers or …
and regression problems. SVM performs better when combined with other classifiers or …