Search Results - "Karthikeyan, P R"

Test Scheduling and Test Time Minimization of System-on-Chip using Modified BAT Algorithm by Chandrasekaran, Gokul, Kumar, Neelam Sanjeev, Karthikeyan, P R, Vanchinathan, K, Priyadarshi, Neeraj, Twala, Bhekisipho

“…System-on-Chip (SoC) is a structure in which semiconductor components are integrated into a single die. As a result, testing time should be reduced to achieve…”
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Performance analysis of IoT protocol under different mobility models by Kabilan, K., Bhalaji, N., Selvaraj, Chithra, Kumaar B, Mahesh, P T R, Karthikeyan

“…Internet of Things [IoT] is a network that encompasses sensors, actuators and networking devices for the purpose of communication and control. The IoT devices…”
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Test scheduling for system on chip using modified firefly and modified ABC algorithms by Chandrasekaran, Gokul, Periyasamy, Sakthivel, Karthikeyan, P. R.

“…The system-on-chip (SoC) is an integration of millions of electronic components, there is always a chance for faults to occur due to manufacturing defects. In…”
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Classification of Fire and Smoke Images using Decision Tree Algorithm in Comparison with Logistic Regression to Measure Accuracy, Precision, Recall, F-score by Reddy, B. Haranadh, R, Karthikeyan P

“…The study's objective is to assess how well the decision tree algorithm and the logistic regression algorithm classify photographs of fire and smoke. A total…”
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Evaluation of Vehicle Quality Performance using Logistic Regression in Comparison with RBF SVM to measure the Accuracy, Recall and Precision by Ramya, V., R, Karthikeyan. P.

“…By contrasting the effectiveness of Logistic regression with that of the RBF SVM algorithm, the purpose of this study is to determine the usefulness of…”
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Comparative study of illumination-invariant foreground detection by Karthikeyan, P. R., Sakthivel, P., Karthik, T. S.

“…Foreground detection plays a vital role in finding the moving objects of a scene. For the last two decades, many methods were introduced to tackle the issue of…”
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Detection of Liver disorder using Quadratic Support Vector Machine in comparison with RBF SVM to measure the accuracy, Precision, sensitivity and specificity by Madhu, M S, R, Karthikeyan P.

“…The purpose of this study is to compare the Quadratic SVM classifier's performance with the RBF SVM method in identifying liver disorders. Techniques and…”
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Comparative Analysis of YOLOv3-320 and YOLOv3-tiny for the Optimised Real-Time Object Detection System by M, Koteswararao, R, Karthikeyan P.

“…The aim of the proposed work is to detect multiple objects effectively of different classes using YOLOv3-320 in comparison with YOLOv3-tiny algorithm. A sample…”
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Automatic Speech Recognition trained with Convolutional Neural Network and predicted with Recurrent Neural Network by Soundarya, M, Karthikeyan, P R, Thangarasu, Gunasekar

“…An important method for interacting between humans and computers is Automatic-Speech-Recognition (ASR). This technique enables a computer to recognize the word…”
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Detection of Arrhythmia using Ensemble classifier in Comparison with Support Vector Machine Classifier to Measure the Accuracy, Sensitivity, Specificity and Precision by Ganapathy, Kirupa, Karthikeyan, P. R., Harshitha, L.

“…Aim: Machine Learning is used as a technique for fully paid loan payback with an increase in accuracy of prediction utilising Support Vector Machine (SVM) in…”
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Automatic Speech Recognition using the Melspectrogram-based method for English Phonemes by Soundarya, M, Karthikeyan, P R, Ganapathy, Kirupa, Thangarasu, Gunasekar

“…An automatic speech recognition (ASR) technique may be set up to forecast the pronunciation of textual identifiers (such as song names) based on assumptions…”
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Faster and Real-Time Object Detection System using YOLOv3-tiny in Comparison with Mobilenet SSD Network by Koteswararao, M., Karthikeyan, P.R., Narayan, Vivek

“…The proposed work aims to detect numerous objects from various classes effectively using YOLOv3-tiny in comparison with mobilenet SSD algorithm. Materials and…”
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Credit Card Fraud Detection using AdaBoost Algorithm in Comparison with Various Machine Learning Algorithms to Measure Accuracy, Sensitivity, Specificity, Precision and F-score by Gedela, Bhargavi, Karthikeyan, P R

“…Credit card fraud detection is a critical problem for any credit card issuing banks. The AdaBoost classifier is used in this study to identify fraudulent…”
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Evaluating the Performance of Hough based Moments to Classify Healthy and COVID Subjects in Comparison with Traditional Shape Measures by Maniraj, Sauravh, Ramesh, M., Deepak, A., Karthikeyan, P.R.

“…The aim of this analysis is to measure and analyse the shape changes in Lung CT scans using orthogonal Zernike moments in comparison with traditional shape…”
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Evaluating Textural Changes of Lung in CT Images using GLCM in Comparison with GLRLM by Jhansi, B., Ramesh, M., Deepak, A., Karthikeyan, P.R.

“…The aim of this analysis is to identify the textural alterations due to incidence of COVID-19 in lung CT scan images using GLCM matrix in comparison with…”
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