no code implementations • 6 Aug 2022 • Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon, Nada AlSallami, Tarik A. Rashid, P. W. C. Prasad, Sami Haddad
Conclusion: The proposed system focuses on the accurate classification of oral cancer cells of different anatomical locations from the CLE images.
no code implementations • 5 Aug 2022 • Nitesh Banskota, Abeer Alsadoon, P. W. C. Prasad, Ahmed Dawoud, Tarik A. Rashid, Omar Hisham Alsadoon
The simulation results show significant improvements in accuracy and processing time, making the model suitable for the video analysis process.
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 • 5 Aug 2022 • Marmik Shrestha, Omar Hisham Alsadoon, Abeer Alsadoon, Thair Al-Dala'in, Tarik A. Rashid, P. W. C. Prasad, Ahmad AlRubaie
The proposed system consists of a deep learning technique that uses the Support Vector Machine (SVM) algorithm along with the Radial Base Function (RBF) along with the Long Short-term Memory Layer (LSTM) for prediction of onset of Type 2 Diabetes.
no code implementations • 4 Mar 2022 • Hui Yang, Abeer Alsadoon, P. W. C. Prasad, Thair Al-Dala'in, Tarik A. Rashid, Angelika Maag, Omar Hisham Alsadoon
The proposed solution improves accuracy and reduces the processing time of text emotion classification.
no code implementations • 18 Feb 2022 • Akriti Bhusal, Abeer Alsadoon, P. W. C. Prasad, Nada Alsalami, Tarik A. Rashid
Methodology: The proposed system used a modified Orthogonal Convolutional Neural Network and a modified Adam optimisation technique to improve the sleep stage classification accuracy and reduce the gradient saturation problem that occurs due to sigmoid activation function.
no code implementations • 30 Nov 2021 • Ashish Kumar, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Tarik A. Rashid, Duong Thu Hang Pham, Tran Quoc Vinh Nguyen
It seems that the proposed system concentrates on minimizing the root mean square error and processing time and improving the direction prediction accuracy, and provides a better result in the accuracy of the stock index.
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 • 21 Aug 2021 • Nirakar Puri, Abeer Alsadoon, P. W. C. Prasad, Nada Alsalami, Tarik A. Rashid
The aim of this work is to propose a solution to improve the visualization in the final merged video by producing globally consistent videos when the intensity of illumination in the input source and target video varies.
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.
no code implementations • 18 Mar 2021 • Sagar Chhetri, Abeer Alsadoon, Thair Al Dala in, P. W. C. Prasad, Tarik A. Rashid, Angelika Maag
This research aims to propose a vision-based fall detection system that improves the accuracy of fall detection in some complex environments such as the change of light condition in the room.
no code implementations • 17 Mar 2021 • Arjina Maharjan, Abeer Alsadoon, P. W. C. Prasad, Nada AlSallami, Tarik A. Rashid, Ahmad AlRubaie, Sami Haddad
The purpose of the proposed solution is to decrease the processing time and enhance the accuracy of merged video by decreasing the overlay and visualization error and removing occlusion and artefacts.
no code implementations • 13 Mar 2021 • Nitish Maharjan, Abeer Alsadoon, P. W. C. Prasad, Salma Abdullah, Tarik A. Rashid
This has led to improve the processing time as well.