Nagaraj Bhat

TL;DR: In this paper, a kernel-based support vector machine (SVM) is applied on the features extracted from the gray-level co-occurrence matrix (GLCM) of machined surface images.

TL;DR: In this article, a discrete wavelet transform has been applied on FSW images to extract useful features for describing the good and defective welds and these obtained features have been fed to support vector machine based classification model for classification with 99% and 97% accuracy with Gaussian and polynomial kernel.

TL;DR: In this paper, a method for tool wear classification using hidden Markov model (HMM) technique applied on the features extracted from the gray level co-occurrence matrix (GLCM) of machined surface images is presented.

TL;DR: The objective of this work is to design, analyze and implement “IoT based sensor enabled car parking system”, this enables the user to pre reserve parking slot from remote place with the help of mobile application.

TL;DR: This paper proposes the first algorithm to segment merged Kannada characters by using a hypothesis to select the positions to be cut by taking into account the support vector machine classifier's recognition score and the validity of the aspect ratio of the segments between every pair of cut positions.