Preferred Language
Articles
/
WRcR-40BVTCNdQwCYCvW
A Review of TCP Congestion Control Using Artificial Intelligence in 4G and 5G Networks
...Show More Authors

In recent years, the field of research around the congestion problem of 4G and 5G networks has grown, especially those based on artificial intelligence (AI). Although 4G with LTE is seen as a mature technology, there is a continuous improvement in the infrastructure that led to the emergence of 5G networks. As a result of the large services provided in industries, Internet of Things (IoT) applications and smart cities, which have a large amount of exchanged data, a large number of connected devices per area, and high data rates, have brought their own problems and challenges, especially the problem of congestion. In this context, artificial intelligence (AI) models can be considered as one of the main techniques that can be used to solve network congestion problems. Since AI technologies are able to extract relevant features from data and deal with huge amounts of data, the integration of communication networks with AI to solve the congestion problem appears promising, and the research requires exploration. This paper provides a review of how AI technologies can be used to solve the congestion problem in 4G and 5G networks. We examined previous studies addressing the problem of congestion in networks, such as congestion prediction, congestion control, congestion avoidance, and TCP development for congestion control. Finally, we discuss the future vision of using AI technologies in 4G and 5G networks to solve congestion problems and identify research issues that need further study.

View Publication
Publication Date
Wed May 26 2021
Journal Name
Energies
Rotational Piezoelectric Energy Harvesting: A Comprehensive Review on Excitation Elements, Designs, and Performances
...Show More Authors

Rotational Piezoelectric Energy Harvesting (RPZTEH) is widely used due to mechanical rotational input power availability in industrial and natural environments. This paper reviews the recent studies and research in RPZTEH based on its excitation elements and design and their influence on performance. It presents different groups for comparison according to their mechanical inputs and applications, such as fluid (air or water) movement, human motion, rotational vehicle tires, and other rotational operational principal including gears. The work emphasises the discussion of different types of excitations elements, such as mass weight, magnetic force, gravity force, centrifugal force, gears teeth, and impact force, to show their effect

... Show More
View Publication
Scopus (24)
Crossref (25)
Scopus Clarivate Crossref
Publication Date
Thu Dec 01 2022
Journal Name
Journal Of Engineering
Deep Learning-Based Segmentation and Classification Techniques for Brain Tumor MRI: A Review
...Show More Authors

Early detection of brain tumors is critical for enhancing treatment options and extending patient survival. Magnetic resonance imaging (MRI) scanning gives more detailed information, such as greater contrast and clarity than any other scanning method. Manually dividing brain tumors from many MRI images collected in clinical practice for cancer diagnosis is a tough and time-consuming task. Tumors and MRI scans of the brain can be discovered using algorithms and machine learning technologies, making the process easier for doctors because MRI images can appear healthy when the person may have a tumor or be malignant. Recently, deep learning techniques based on deep convolutional neural networks have been used to analyze med

... Show More
View Publication Preview PDF
Scopus (29)
Crossref (13)
Scopus Crossref
Publication Date
Wed Mar 16 2022
Journal Name
Journal Of Educational And Psychological Researches
Self-control of kindergarten teachers and its relationship to some variables
...Show More Authors

The aim of the current research is to identify the self-control of kindergarten teachers as well as to identify the significance of the differences according to a variable (years of service, academic achievement, specialization). Its final paragraphs consist of (35) paragraphs, and its psychometric properties were verified and the tool was applied to a sample of (400) teachers chosen randomly from kindergarten teachers affiliated to the General Directorates of Education in Baghdad, Rusafa, and Karkh for the academic year 2019-2020

In light of the objectives of the current research, the following results were reached

  1. The current research sample is from kindergarten teachers with self-contro
  2. There are diffe

... Show More
View Publication Preview PDF
Publication Date
Tue Mar 01 2022
Journal Name
International Journal Of Nonlinear Analysis And Applications
Semi-parametric regression function estimation for environmental pollution with measurement error using artificial flower pollination algorithm
...Show More Authors

Artificial Intelligence Algorithms have been used in recent years in many scientific fields. We suggest employing flower pollination algorithm in the environmental field to find the best estimate of the semi-parametric regression function with measurement errors in the explanatory variables and the dependent variable, where measurement errors appear frequently in fields such as chemistry, biological sciences, medicine, and epidemiological studies, rather than an exact measurement. We estimate the regression function of the semi-parametric model by estimating the parametric model and estimating the non-parametric model, the parametric model is estimated by using an instrumental variables method (Wald method, Bartlett’s method, and Durbin

... Show More
Publication Date
Wed Jan 01 2025
Journal Name
Aip Conference Proceedings
Predicting biochemical oxygen demand at Al-Rustumiya wastewater treatment plant inlet using the artificial neural network
...Show More Authors

View Publication
Scopus Crossref
Publication Date
Mon Aug 18 2025
Journal Name
Journal Of Genetic And Environment Conservation
Ultrasound application as a new green technology for preservation of table eggs: A review
...Show More Authors

In recent years, there has been a significant increase in research demonstrating the new and diverse uses of non-thermal food processing technologies, including more efficient mixing and blending processes, faster energy and mass transfer, lower temperature and selective extraction, reduced thermal and concentration gradients, reduced equipment size, faster response to extraction control, faster start-up, increased production, and a reduction in the number of steps in preparation and processing. Applications of ultrasound technology have indicated that this technology has a promising and significant future in the food industry and preservation, and there is a wide scope for its use due to the higher purity of final products and the

... Show More
View Publication Preview PDF
Crossref
Publication Date
Sun Sep 01 2013
Journal Name
Journal Of Economics And Administrative Sciences
The role of competitive intelligence and reverse engineering to achieve competitive advantage
...Show More Authors

Abstract

In light of the great technological development and the emergence of globalization has increased global competition, where it became competitive exercise pressure on all sectors. In light of this companies mast enviorment depend on the means that keeps them on the competitive position through access to information about competitors in order to help them to draw a strategy that will achieve a competitive edge either through excellence or reduce the costs of their products and this means intelligence competitive and reverse engineering that help to gain information on competitors analyze and put of the decision-maker From this point formed the idea of ​​research in the statement of the role of

... Show More
View Publication Preview PDF
Crossref
Publication Date
Fri Aug 27 2021
Journal Name
Human Interaction, Emerging Technologies And Future Systems V: Proceedings Of The 5th International Virtual Conference On Human Interaction And Emerging Technologies, Ihiet 2021, August 27-29, 2021 And The 6th Ihiet: Future Systems (ihiet-fs 2021), October 28-30, 2021, France
Electricity Consumption Forecasting in Iraq with Artificial Neural Network
...Show More Authors

Scopus (19)
Scopus
Publication Date
Sun Apr 27 2025
Journal Name
Al-rafidain Journal Of Medical Sciences ( Issn 2789-3219 )
CD40 Gene Variants and Disease Susceptibility: A Comprehensive Review of Associations with Immune-Mediated Inflammatory Diseases, Cancer, and Infectious Diseases
...Show More Authors

CD40 is a type 1 transmembrane protein composed of 277 amino acids, and it belongs to the tumor necrosis factor receptor (TNFR) superfamily. It is expressed in a variety of cell types, including normal B cells, macrophages, dendritic cells, and endothelial cells, as a costimulatory molecule. This study aims to summarize the CD40 polymorphism effect and its susceptibility to immune-related disorders. The CD40 gene polymorphisms showed a significant association with different immune-related disorders and act as a risk factor for increased susceptibility to these diseases.

View Publication Preview PDF
Publication Date
Tue Jun 30 2026
Journal Name
Magna Scientia Advanced Research And Reviews
A review of Prodigiosin pigment production, gene expression, extraction and medical important from Serratia marcescens
...Show More Authors

The Gram-negative bacillus Serratia marcescens (S. marcescens) belongs to the Enterobacteriaceae family. S. marcescens was once thought to be a nonpathogenic saprophytic organism that appeared on decomposing organic matter, animals, plants, and foods, water, and soil. However, it has evolved into an opportunist pathogen that causes nosocomial infections, where it is linked to a variety of hospital-acquired infections, including conjunctivitis, septicemia, wound, and eye infections, pneumonia, meningitis, osteomyelitis, and endocarditis, in addition to respiratory tract and urinary tract infections (UTI). Chitinase, protease, nuclease, lipase, and hemolysin are among the products released by S. marcescens strains, and many of these c

... Show More
View Publication
Crossref