99 citations · 182 across the 4 of their papers we have counts for
4 papers
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class
Seifedine Kadry, Venkatesan Rajinikanth, Seungmin Rho +3
Recently, the lung infection due to Coronavirus Disease (COVID-19) affected a large human group worldwide and the assessment of the infection rate in the lung is essential for trea…
Firefly-Algorithm Supported Scheme to Detect COVID-19 Lesion in Lung CT Scan Images using Shannon Entropy and Markov-Random-Field
Venkatesan Rajinikanth, Seifedine Kadry, Krishnan Palani Thanaraj +2
The pneumonia caused by Coronavirus disease (COVID-19) is one of major global threat and a number of detection and treatment procedures are suggested by the researchers for COVID-1…
Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis
K. Palani Thanaraj, B. Parvathavarthini, U. John Tanik +3
This paper evaluates the approach of imaging timeseries data such as EEG in the diagnosis of epilepsy through Deep Neural Network (DNN). EEG signal is transformed into an RGB image…
A New Round Robin Based Scheduling Algorithm for Operating Systems: Dynamic Quantum Using the Mean Average
Abbas Noon, Ali Kalakech, Seifedine Kadry
Round Robin, considered as the most widely adopted CPU scheduling algorithm, undergoes severe problems directly related to quantum size. If time quantum chosen is too large, the re…