Journal of Al-Qadisiyah for Computer Science and Mathematics

In the present paper, we obtain sandwich theorems for univalent functions by using some results of differential subordination and superordination for univalent functions involving integral operator.

This paper introduces the concept of unit-regular fuzzy ideals of semi groups, which is a generalization of regular fuzzy ideals. Several of their significant related properties have been examined. According to the unit-regular semi group, the fuzzy-interior-ideal, fuzzy-ideal, fuzzy-bi-ideal, and fuzzy-generalized-bi-ideal have all been described.

A modification of the familiar half-Cauchy prior is considered. The modification consists of writing the half-Cauchy prior as the product of the gamma and inverse gamma distributions plus adding an exponential distribution on the scale parameter. Furthermore, we consider this model in the setting of the quantile regression structure. Additionally, The Gibbs sampler is calculated for this model. Finally, the properties of this model are demonstrated using simulated data and it is shown that this method performs very well compared to other distributions.

The increasing use of internet-based solutions and services in private and corporate sectors has resulted in a significant increase in personal internet involvement. This shift, concurrently exposed a heightened susceptibility to potential vulnerabilities, given the ability of malicious actors to exploit external networks, network services, or corporate infrastructures utilized for personal purposes. In recent times, there has been considerable interest in harnessing deep learning methodologies for enhancing cybersecurity, owing to their utilization of sophisticated learning algorithms for addressing pertinent online security challenges. Machine Learning (ML) and Deep Learning (DL) paradigms have been extensively applied across diverse dimensions of cybersecurity, encompassing tasks such as vulnerability assessment, malware classification, spam detection, and spoofing identification.

In this paper, we studied, peristaltic motion and rotation for Powell - Eyring fluid in an asymmetric channel with porous medium. The motion equations have been solved by the well-known analytical methods, which is the perturbation technique, under the assumption of long wave length and low Reynolds number a proximation.

Cloud Computing is one of the latest revolutions in information technology that influences many sectors in many governments. Cloud computing is a model for providing resources for storage and communication based on the service as quickly as possible, that is virtually applied through internet access. Despite the concern shown by many countries in adopting cloud computing, not many researchers have shown what the most desirable factors are that influence key players in public sector to allow them to decide on cloud computing adoption. The existing researches indicated other areas such as accepting the cloud computing service in government organizations, establishing the architecture of cloud computing, and integrating the cloud computing services. Thus, the study has examined to prioritize adoption factors that have been considered the most desirable ones in effecting public sector adoption cloud computing by conducting a web- based survey in the Ministry of Higher Education in Iraq. From the results, the top management support, cloud strategy, IT infrastructure, compatibility, external expertise, and internal experts, are the most important factors for Iraqi government organizations to adopt cloud computing while complexity, trailability, competitive and cost factors are specified as the minor factors.

With the rise in the quantity of digital photos taken each day, there is a rising desire for more accurate and aesthetically appealing images. More precisely, noise is a problem for photos in terms of corruption since certain sounds may be introduced to the image automatically during capture. Additionally, camera sensors and lighting conditions contribute to the noise that might be added to the picture. This is referred to as additive noise. Noise reduction is critical for achieving a beautiful picture. describe a robust approach for decreasing noise in photos based on the heat equation in this study. Additionally, we compare our proposed technique against many existing methods using denoising performance indicators.

this study aims to ascertain the outcomes differantial subordnation and superordnation for meromorphic p-valent functions given by the Rafid operetor within a punctared open unit disc. We acquire multiple results that bear a resemblance to sandwiches.

The classical regression model is very sensitive to econometrics problems, one this econometrics problem is Multicollinearity, to overcome this problem ,we will use two solutions: Firstly via using principal component regression and second solution via using quantile regression. When mix between these methods together give as robust model against the Multicollinearity problem. The simulation scenario and real data using in this study.

With the widespread adoption of applications and IoT devices, modern society has come to rely on them in various aspects of daily life. These applications and devices cover a range of needs, including home appliances and even medical devices for body monitoring. Because a significant amount of data generated by IoT devices and applications must be transmitted over networks, particularly the Internet, there is an increased risk of cyber-attacks on this transmitted data. This data can be text, images, sound, or other forms, and it is critical to ensure its protection, especially if it contains valuable information. Extensive research has been conducted on various encryption algorithms to ensure the security of transmitted data, whether through block ciphers or stream ciphers. In addition, efforts have been made to increase encryption efficiency by securing the transmission channels. The question of this research is “what is the state of the art in the lightweight encryption in terms of strength and speed up the process?”. This paper provides a comprehensive survey of research related to two main categories of lightweight encryption, and work focused on secure authentication between entities. The paper includes an analysis of the techniques used in each surveyed paper and highlights their main results.

The objective of this research is to produce robust differential subordination and differential superordination results using the fractional integral of the Wanas differential operator. These results apply to Analytic functions defined on , with Coefficient functions that are holomorphic in Furthermore, for each instance of strong differential subordination and strong differential superordination, we provide the most superior dominant and the most subordinate subordinant. These findings are used to achieve strong sandwich results.

The topic of variable selection in constructing statistical models has received wide attention in many applications, including medical, economic, engineering, and various other fields. Since, this method helps researchers save time and effort, by concentrating on crucial variables and eliminating unimportant variables from the statistical models under study. The famous variable selection technique known as the Least absolute Shrinkage and Selection Operator (LASSO) method works by reducing the number of variables with high explanatory power. This study will combine two methods for variable shrinkage, which minimize both simultaneously by removing variables with little effect and reducing the variance and bias of the estimated parameters. Two techniques were used to validate the results of our current study. The first approach uses simulation, where data is produced using predetermined hypotheses and models. The second approach uses data from actual sources .

The security of information exchange over email and other web-based means is rather low, and there is the risk of interception when it comes to confidential information (e.g., credit card info). Therefore, online users should be ensured of the security and privacy of their web interactions. Despite the remarkable benefits of the Internet in the modern era and its contribution to digital communication, the information security of open networks has become an important issue due to its heavy costs. Several approaches have been used to address this issue, particularly through information hiding and encryption in system security strategies. Cryptography is the process of information encryption, and steganography refers to information hiding. These methods have proven quite effective in maintaining information security. Cryptography involves making changes to confidential information, which prevents their readability by eavesdroppers, which could also be considered a technique of original text to cipher text. On the other hand, steganography entirely hides confidential information from unauthorized users using multiple carrier formats, including audio, video, protocol, and images. Given the availability of digital images, they are often employed as carrier files online. Other approaches to image steganography are also common and have specific limitations and advantages. The present study aimed to review different methods of image cryptography and steganography and compare the studies in this regard so as to determine which the best, specific and accurate methods of information security.

This article analyzes and compares conical curve creation methods using algorithms. The four methods investigated were linear interpolation, Bézier curve, geometric form approximation, and numerical differential equation solutions. Using mathematics, this research dissects these strategies to understand their underpinnings. Comparisons of accuracy, computing efficiency, and adaptability reveal each method's strengths and drawbacks. This article hopes to help practitioners and academics choose conical curve building techniques based on their construction applications.