Introduction: Visual evoked potentials contain certain diagnostic information which have proved to be of importance in the visual systems functional integrity. Due to substantial decrease of amplitude in extra macular stimulation in commonly used pattern VEPs, differentiating normal and abnormal signals can prove to be quite an obstacle. Due to developments of use of machine l...

Rapid prototyping (RP) methods are used for production easily and quickly of a scale model of a physical part or assembly. Gas metal arc welding (GMAW) is a widespread process used for rapid prototyping of metallic parts. In this process, in order to obtain a desired welding geometry, it is very important to predict the weld bead geometry based on the input process parameters, which are voltage...

Abstract Today, intelligent systems that offer artificial intelligence capabilities often rely on machine learning. Machine learning describes the capacity of to learn from problem-specific training data automate process analytical model building and solve associated tasks. Deep is a concept based neural networks. For many applications, deep models outperform shallow traditional analysis approa...

We introduce the underlying concepts which give rise to some of commonly used machine learning methods, excluding deep-learning machines and neural networks. point their advantages, limitations potential use in various areas photonics. The main methods covered include parametric non-parametric regression classification techniques, kernel-based support vector machines, decision trees, probabilis...

Ayurveda medicines uses herbs for curing many ailments without side effects. The biggest concern related to medicine is extinction of important medicinal herbs, which may be due insufficient knowledge, weather conditions, and urbanization. Another reason consists lack online facts on Indian because it dependent books experts. This has motivated in utilizing the machine learning techniques ident...