no code implementations • 5 Aug 2022 • Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad, Sarmad Al Aloussi, Tarik A. Rashid, Omar Hisham Alsadoon, Oday D. Jerew
The aim of this work is to increase the overall prediction accuracy along with reducing processing time by using multispace image in pooling layer of convolution neural network.
no code implementations • 21 Aug 2021 • Kshitiz Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon, Tarik A. Rashid, Rasha S. Ali, P. W. C. Prasad, Oday D. Jerew
Methodology: The proposed system consists of Convolutional Neural Network (CNN) to enhance the accuracy of classification and prediction by using Elastic Net Regularization.
no code implementations • 5 Jul 2021 • Ravi Teja Batchu, Abeer Alsadoon, P. W. C. Prasad, Rasha S. Ali, Tarik A. Rashid, Ghossoon Alsadoon, Oday D. Jerew
The proposed model has been developed for access control to data through the authentication of users in healthcare to reduce data manipulation or theft.
no code implementations • 1 Jul 2021 • Ashu Thapa, Abeer Alsadoon, P. W. C. Prasad, Simi Bajaj, Omar Hisham Alsadoon, Tarik A. Rashid, Rasha S. Ali, Oday D. Jerew
Methodology: The proposed system consists of a Deep Convolutional Neural Network (DCNN) that helps in enhancing and increasing the accuracy of the classification process.