Abstract: For image classification, it's recommended to start with traditional machine learning techniques before moving to deep learning. Support Vector Machine(SVM) is widely used in pattern ...

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...

Community driven content discussing all aspects of software development from DevOps to design patterns. These DP-100 questions are focused on commonly misunderstood Azure Machine Learning concepts. If ...

ABSTRACT: A degenerative neurological condition called Parkinson disease (PD) that evolves progressively, making detection difficult. A neurologist requires a clear healthcare history from the ...

Community driven content discussing all aspects of software development from DevOps to design patterns. I don’t believe in cheating. Traditionally, the term “braindump” referred to someone taking an ...

Abstract: The research presents a modern approach to depression diagnosis through Electroencephalography signal analysis using deep neural network and other machine learning technologies. Department ...