To increase the capacity of pipelines and reduce energy costs for movement of fluid volume unit the traditional ways of reducing viscosity are used.They are heating, dilution and add of low-viscosity solvent depressants.The above techniques require high energy and material costs, and they are effective only for the laminar flow regime, in which the
Aiming at the fault diagnosis of rolling element bearings, propose a method for fine diagnosis of bearings based on wavelet transform and one-dimensional convolutional neural read more network.First use wavelet transform to decompose the experimental data; Use the resulting low-frequency signal as a one-dimensional convolutional neural network inpu
Immunotherapy is now a cornerstone for cancer treatment, and much attention has been placed on the identification of prognostic and predictive biomarkers.The success of biomarker development is dependent on accurate and timely collection of biospecimens and high-quality processing, storage and shipping.Tumors are also increasingly used as source ma
This paper set out to investigate the usefulness of solving collision avoidance problems with the help of deep reinforcement learning in an unknown environment, especially in compact spaces, such as a narrow corridor.This research aims to here determine whether a deep reinforcement learning-based collision avoidance method is superior to the tradit
Malware detectors based on machine learning are vulnerable to adversarial attacks.Generative Adversarial Networks (GAN) are architectures based on Neural Networks that may be used to produce successful click here adversarial samples.The interest towards this technology is quickly growing.This paper proposes a system that first generates feature vec