Volume 23 (2023)
Volume 22 (2022)
Volume 21 (2021)
Volume 20 (2020)
Volume 19 (2019)
Volume 18 (2018)
Volume 17 (2017)
Volume 16 (2016)
Volume 15 (2015)
Volume 14 (2014)
Volume 13 (2013)
Volume 12 (2012)
Volume 11 (2011)
Volume 10 (2010)
Volume 9 (2009)
Volume 8 (2008)
Volume 7 (2007)
Volume 6 (2006)
Volume 5 (2005)
Volume 4 (2004)
Computer
Automatic Translation From Iraqi Sign Language to Arabic Text or Speech Using CNN

Raja’a M. Mohammed; Suhad M. Kadhem

Volume 23, Issue 2 , June 2023, , Page 112-124

https://doi.org/https://doi.org/10.33103/uot.ijccce.23.2.9

Abstract
  Sign language (SL) is Non-verbal communication and a way for thedeaf and mute to communicate without words. A deaf and mute person's hands,face, and body shows what they want to say. Since the number of deaf and dumbpeople is increasing, there must be other ways to learn sign language orcommunicate with ...  Read More ...

Computer
Predicting Alzheimer's Disease Using Filter Feature Selection Method

Shaymaa Taha Ahmed; Suhad Malallah Kadhem

Volume 22, Issue 4 , December 2022, , Page 13-27

https://doi.org/https://doi.org/10.33103/uot.ijccce.22.4.2

Abstract
  Alzheimer’s disease (AD) is caused by multiple variables. Alzheimer's disease development and progression are influenced by genetic variants. The molecular pathways causing Alzheimer's disease are still poorly understood. In Alzheimer's disease research, determining an effective and reliable diagnosis ...  Read More ...

Computer
Unmasking Deepfakes Based on Deep Learning and Noise Residuals

Wildan J. Jameel; Suhad M. Kadhem; Ayad R. Abbas

Volume 22, Issue 3 , September 2022, , Page 111-117

https://doi.org/https://doi.org/10.33103/uot.ijccce.22.3.10

Abstract
  The main reason for the emergence of a deepfake (deep learning and fake) term is the evolution in artificial intelligence techniques, especially deep learning. Deep learning algorithms, which auto-solve problems when giving large sets of data, are used to swap faces in digital media to create fake media ...  Read More ...

An Efficient Feature Engineering Method for Fraud Detection in E-commerce

Suha M. Najem; Suhad kadhem

Volume 21, Issue 3 , September 2021, , Page 40-52

https://doi.org/https://doi.org/10.33103/uot.ijccce.21.3.4

Abstract
  With the speedy expansion of e-commerce, credit cards have also become rising vogue, and that makes online transactions sleek and suitable. In conjunction with rising in online transactions, credit card fraud also increasing, which contributes to losses incurred yearly. As a result, many deep and machine ...  Read More ...