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)
Enhancement of Cloud Computing Environment Using Machine Learning Algorithms MLCE

Mohammed E. Seno; Ban N. Dhannoon; Omer K. Jasim Mohammad

Volume 23, Issue 4 , December 2023, Page 1-12


  Cloud computing is an evolving and high-demand research field at theforefront of technological advancements. It aims to provide software resources andoperates based on service-oriented delivery. Within the infrastructure as a service (IaaS)framework, the cloud offers end customers access to crucial infrastructure ...  Read More ...

Ensemble Feature Selection for Age Estimation from Speech

Umniah Hameed Jaid; alia karim Abdulhassan

Volume 23, Issue 4 , December 2023, Page 13-23


   The voice signal carries a wide range of data about the speaker, including theirphysical characteristics, feelings, and level of health. There are several uses for the estimateof these physical characteristics from the speech in forensics, security, surveillance,marketing, and customer service. ...  Read More ...

Short-Term Load Forecasting Using Nonlinear Dynamic Time Series Autoregressive with Feedback for AZADI Control-Station Erbil-Iraq

Wafeeq Sh. Hanna; Velar H. Elias; Dlawar R. Maruf

Volume 23, Issue 4 , December 2023, Page 24-34


  The load forecasting is a human or computational technique foraccurate preanticipation of electrical load to enhance reliable operation andoptimal planning control of system plant for electrical energy flowing withoutfacing any economical and technical limitations, therefore appropriateestimation for ...  Read More ...

Improve Multi-Object Detection and Tracking for an Automated Traffic Surveillance System

Rashad N. Razak; Hadeel N. Abdullah

Volume 23, Issue 4 , December 2023, Page 35-45


  Multi-Object Detection and Tracking (MODT) are essential in manyapplication fields. Still, many enhancements in the speed of detection and tracking wererequired to overcome the challenges during implementation. This paper presents a newalgorithm system for (MODT) to improve the execution time to be robust ...  Read More ...

Analytical and Comparative Study for Optimization Problems

Sanaa Ali Jabber; Soukaena H. Hashem; Shatha H Jafer

Volume 23, Issue 4 , December 2023, Page 46-57


  Finding an optimal solution to some problem, like minimizing andmaximizing the objective function, is the goal of Single-Objective Optimization (SOP).Real-world problems, on the other hand, are more complicated and involve a widerrange of objectives, several objectives should be maximized in such problems. ...  Read More ...