Volume 24 (2024)
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 ...

A Survey on Business Intelligence Approach Based on Deep Learning

Asaad Raheem Kareem; Hasanen S. Abdullah

Volume 23, Issue 4 , December 2023, Page 58-70


  The article provides an overview of two recent developments in technology: Business Intelligence (BI) and Deep Learning (DL). In order to support decision-making processes, BI entails gathering, integrating, and analyzing data from various sources, while DL uses artificial neural networks to learn and ...  Read More ...

A Hybrid Fault Detection and Fault Tolerant Control Based on kNN and NN Approaches for ABS Speed Sensors

Ayad Q. Abdulkareem; Abdulrahim Th. Humod; Oday A. Ahmed

Volume 23, Issue 4 , December 2023, Page 71-83


  To perform fault tolerance for Anti-lock Braking System (ABS), This paper proposes a hybrid Fault Detection and Fault Tolerant Control (FD-FTC) for ABS speed sensors. It utilizes a Fault Detection (FD) unit and a Data Construction (DC) unit. The first one, the FD unit, is based on a kNN classifier model ...  Read More ...

Developed the EX-RED Algorithm to Find Best Parameters Based on Load Connection Factor

Amar A. Mahawish; Hassan Jalee.l Hassan

Volume 23, Issue 4 , December 2023, Page 84-94


  The performance of the Internet is significantly impacted by network congestion. Because of the internet's current rapid growth, congestion could increase and cause more packets to be dropped. The Transmission Control Protocol (TCP) connection is used as the reliable transmission of packets which has ...  Read More ...

Design of Face Detection and Recognition System to Enhance Security of Safe Locker

Mohammed Majid Msallam

Volume 23, Issue 4 , December 2023, Page 95-105


  In recent years, safe lockers have been spread in public places to secure valuable belongings. The people are concerned about losing safe locker keys or use of the spare key by others and will remain worried about their things. To solve the forenamed matter, this paper proposed a system that depends ...  Read More ...

Dynamic Shifts in Digital Currencies: Tracing the Evolution of Digital Currencies from Bitcoin's Inception to 2023

Asmaa A Mohammed; Abdul Monem S. Rahma; Hala B. Abdulwahad

Volume 23, Issue 4 , December 2023, Page 106-116


  The rapid "development of communication technology" has had a considerable impact on financial transactions, leading to the appearance of new types of "currency." These digital currencies are intended to streamline processes, decrease time and effort expenditures, and minimize financial losses while ...  Read More ...