… , we estimate the tool wear and surface roughness using a one-dimensional (1D) convolutional
neural network (1D-CNN) with sensor … In many research fields, CNNs are applied for the …

… sensors and estimating tool wear rates in machining. Their … ; multi-sensor integration
using neural network modules for process modeling (prediction of surface roughness and bore …

… surface roughness in boring by integrating multi-sensor data … [9] established an Artificial
Neural Network (ANN) using the … we perform Fourier transform to calculate the frequency domain …

… using cutting variables to estimate the surface roughness of … a very important step toward
integrating sensing and control … methods in many different neural networks applications, …

… Many artificial neural networks are widely used such as back-… Lathe boring operation on
ASTM A304 steel parameter … Hosseini, “Estimation of lost circulation amount occurs during …

… response surface methodology, artificial neural network and … optimized with integrated
approach to reduce surface roughness. … multi-layer perceptron architecture was used to estimate …

… Masoif also reported the use of neural networks to estimate tool … ; multi-sensor integration
using neural network modules for process modeling (prediction of surface roughness and bore …

… While many industries adopt a 'direct modeling' approach, … implementation (through sensors
and neural networks possibly), is … using neural network technology, to integrate the surface …

… V B estimation was made using an artificial neural network. In … wear was estimated by a
method based on multiple sensor … TCMS for a boring operation measuring surface roughness in …

… neural network modelling to predict surface roughness and … the indices of performance
for evaluating the ability of the models … Such tools hold very good promise in computer-integrated …