Abstract: In this research we developed a technique that is robust and invariant to the underlined statistics of the input data. It is an integrated system that combines the Hierarchical Decision Making Model (HDM) capability of an interval type-2 fuzzy logic and the predictive abilities of an adaptive and continual learning machine intelligent neural network. The dataset used in this research is based on readily available financial statements provided by stock brokers authorized by the Nigerian Stock Exchange (NSE). It was useful for audit opinion mining and decision making in a continual auditing framework using a Type-2 Fuzzy Neural Network. The data is categorized into three main criteria (Balance Sheet, Operation Statement and Operation Statistics) which identify the key factors needed in this research.

This technique has been applied to the automated auditing of securities listed in Nigeria Stock Exchange (NSE). Performance simulations have been conducted using the MATLAB software.

The Results show that the listed securities are vulnerable as further indicated by the reported centroid values max similarities values and mean absolute percentage error rate.

Keywords: Type2 fuzzy Neural Network, Financial Data, Model Base Engineering.

Title: Prediction of Automated Stock Trading Auditing Opinion of Listed Securities Using Type 2 Fuzzy Neural Network

Author: Dambo Itari, Obhuo Benjamin

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 10, Issue 1, January 2023 - April 2023

Page No: 32-44

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 07-April-2023

Abstract: In this paper, the concept of monoid was examined on a generalised setting(multiset). Denoting the generalised setting of a monoid by a multi monoid, we introduced the concept of a multi-centre of a multi monoid and study the action of a centre of a multi monoid over the mset operations on the class of finite multi monoid. Further studies revealed that even though in general, the centre of a multi monoid need not be a multi monoid, however under the class of finite commutative multi monoids, the centre of a commutative multi monoid is a multi monoid and the centre of the commutative multi monoid is also a commutative multi monoid among other results.

Keywords: Monoid, Multiset, Multimonoid, Centre, Commutativity.

Title: A GENERALISED CENTRE OF A MONOID

Author: Gambo Jeremiah Gyam, Tella Yohanna

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 10, Issue 1, January 2023 - April 2023

Page No: 22-31

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 03-March-2023

Abstract: In this paper, we study a fractional algebraic problem based on a new multiplication of fractional analytic functions. We can solve this fractional algebraic problem by using some techniques. In fact, the solutions are generalizations of the solutions of ordinary algebraic problem.    

Keywords: Fractional algebraic problem, New multiplication, Fractional analytic functions.

Title: A Study on a Fractional Algebraic Problem

Author: Chii-Huei Yu

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 10, Issue 1, January 2023 - April 2023

Page No: 18-21

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 04-February-2023

Abstract: Digital applications have enhanced the educational experience and students performing. This paper discussed the effect of WhatsApp application on students engagement and its role on academic performance. The research addressed five hypotheses to determine the role of WhatsApp usage on student engagement. The paper also considered some influential factors that are affected using WhatsApp, including major. The intended research method the study would take was the quantitative approach using the survey to collect the data from the students. It aimed to understand the effect of major on the use of WhatsApp on student engagement and then students’ academic performance. The findings of this study would specifically participate in enhancing students engagement and their educational experiences. It would also provide educators with the importance use of technology to implement it in their teaching styles and learning process.  

Keywords: Student Engagement; Academic Performance; WhatsApp; Saudi Students; Saudi Electronic University.

Title: The Effect of WhatsApp Application on Saudi Electronic University Students' and the Role of Student Engagement on Academic Performance

Author: Abdullah AL HUSSAIN

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 10, Issue 1, January 2023 - April 2023

Page No: 12-17

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 28-January-2023

Abstract: Wireless sensor networks (WSNs) have become an increasingly important tool for a wide range of applications, from environmental monitoring to industrial automation. However, WSNs face a number of challenges, including limited resources, harsh operating environments, and high levels of noise and interference. Artificial intelligence (AI) has the potential to address these challenges and enhance the performance and reliability of WSNs. In this paper, we conduct a survey of the various approaches and applications of AI in WSNs. We first provide an overview of the key characteristics and challenges of WSNs, and then review the different types of AI techniques that have been applied to WSNs, including machine learning, natural language processing, and decision making. We also discuss the benefits and limitations of these techniques, and identify potential areas for future research. Our survey aims to provide a comprehensive overview of the state-of-the-art in AI for WSNs, and to help guide researchers and practitioners in the selection and application of AI techniques for WSN optimization.

Keywords: Wireless sensor networks (WSNs), Artificial intelligence (AI), Machine learning, Natural language processing, Decision making, Network optimization, Resource management, Data management.

Title: Optimizing WSNs with Artificial Intelligence: A Survey of Approaches and Applications

Author: AWS ABD ALKAREEM HAMEED ALTAEE

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 10, Issue 1, January 2023 - April 2023

Page No: 8-11

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 27-January-2023

Abstract: In this paper we present a comprehensive and critical survey of face detection algorithms. Face detection is a necessary first-step in face recognition systems, with the purpose of localizing and extracting the face region from the background. It also has several applications in areas such as content-based image retrieval, video coding, video conferencing, crowd surveillance, and intelligent human–computer interfaces. However, it was not until recently that the face detection problem received considerable attention among researchers. The human face is a dynamic object and has a high degree of variability in its apperance, which makes face detection a difficult problem in computer vision. A wide variety of techniques have been proposed, ranging from simple edge-based algorithms to composite high-level approaches utilizing advanced pattern recognition methods. The algorithms presented in this paper are classified as either feature-based or image-based and are discussed in terms of their technical approach and performance. Due to the lack of standardized tests, we do not provide a comprehensive comparative evaluation, but in cases where results are reported on common datasets, comparisons are presented. We also give a presentation of some proposed applications and possible application areas.

Keywords: Classification, Face detection, Face recognition, Feature extraction, Preprocessing, Neural networks, Supports Vectors Machines (SVM).

Title: Survey Face Detection and Recognition

Author: Noor Shakir Hameed

International Journal of Novel Research in Computer Science and Software Engineering

ISSN 2394-7314

Vol. 10, Issue 1, January 2023 - April 2023

Page No: 1-7

Novelty Journals

Website: www.noveltyjournals.com

Published Date: 13-January-2023