A Novel Approach to Necessary and Sufficient Conditions for the Diagonalization of Refined Neutrosophic Matrices

Necati; Ahmed; Mikail; Mohammad

doi:https://doi.org/10.54216/IJNS.160202

American Journal of Business and Operations Research | 2022

An Innovative Additive Mathematical Model Using Auxiliary Information

This article proposes innovative ratio and regression estimators based on additive randomized response model. Expressions for the biases and mean squared errors of the recommended estimators are derived. It has been revealed that the advised groundbreaking ratio and regression estimators are improved than ratio and regression estimators under a very realistic condition. Numerical illustrations and simulation study are also given in support of the present study.

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Tanveer A. Tarray mail -

Javid Gani Dar mail -

Ishfaq S. Ahmad mail

link https://doi.org/10.54216/AJBOR.060201

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2022

Business Intelligence for Risk Management: A Review

This paper provides a quick review about business intelligence approaches and techniques in risk management. The important research articles from 2007 to 2021 are involved in this review. We found a little contribution from researchers in this research direction, however the vital role of business intelligence in risk management. Moreover, we provide a novel business approach for risk management.  This approach includes deploying the trendiest techniques in this era which are social media and big data analysis. Social media represents the source of identifying risks through the discussions of social media users as well as big data analysis techniques which represent the control tool for potential risks. The new approach will help firms and organizations in many sectors to manage risks efficiently and make the best decisions. Further, we provide the challenges of the new framework and the further research points. 

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Abdelaziz Darwiesh mail -

A.H. El-Baz mail -

A.M.K. Tarabia mail -

Mohamed Elhoseny mail

link https://doi.org/10.54216/AJBOR.060202

Volume & Issue

Vol. Volume 6 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2022

Vocal Analysis and Sentiment Discernment using AI

One of the major factors for personal development and growth is understanding human emotions, and therefore it plays an important role in imitating human intelligence. Vocal and Sentiment analysis are the major focus points for advancement in Artificial Intelligence (AI). Sentiment analysis provides major help to data analysts of big enterprises to measure public opinion, conducting market research, understanding customers experience and viewing brand and product reputation. Emotion recognition provides an opportunity to grasp the general people’s sentiments about social events, marketing strategies, political views and product liking. In this paper, we have used various AI models on a variety of audio datasets to recognise and analyse the sentiments of the speaker. Our dataset includes some audio songs sung by some singers and some audio clips of few actors. We trained CNN and LSTM models to analyse our dataset and predict their accuracy. The ever-growing need of sentiment analysis coincides greatly with the extension of social media such as forum discussions, social networks like Facebook, Twitter, Instagram and many other similar platforms.

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Praveen Singh mail -

Preeti Nagrath mail

link https://doi.org/10.54216/FPA.070204

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2020

An investigation into the effect of cybersecurity on attack prevention strategies

Our economy, infrastructure and societies rely to a large extent on information technology and computer networks solutions. Increasing dependency on information technologies has also multiplied the potential hazards of cyber-attacks. The prime goal of this study is to critically examine how the sufficient knowledge of cyber security threats plays a vital role in detection of any intrusion in simple networks and preventing the attacks. The study has evaluated various literatures and peer reviewed articles to examine the findings obtained by consolidating the outcomes of different studies and present the final findings into a simplified solution. 

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Mohammed I. Alghamdi mail

link https://doi.org/10.54216/JCIM.030203

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2021

History, Present 2021 and Future of Cyber Attacks

Cyber-attacks are the attacks that target organizations and individuals either as a tool for other activities like identity theft, stalking, etc. or with a computer as a crime object like phishing, hacking, and spamming. Cyber-attacks are rapidly increasing and making cyber security a major concern currently. When launched successfully, cyber-attacks can cause massive damage to individuals and businesses. Hence, immediate response is mandatory to contain the situation in case cyber-attacks occur. In this paper, we will discuss the history, present and future of cyber-attacks and measures for organizations to prevent those attacks in future. The ever-elusive strategies and suspicious nature of criminals should also be identified. We have outlined some of the practices to prevent those attacks while recommending incidence response measures and updates in enterprises. 

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Mohammed. I. Alghamdi mail

link https://doi.org/10.54216/JCIM.080204

Volume & Issue

Vol. Volume 8 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

Detecting Image Spam on Social Media Platforms Using Deep Learning Techniques

Image spam involves the practice of concealing text within an image.  Various machine-learning techniques are used to categories image spam, utilizing a wide range of features extracted from the images.   Convolutional neural networks (CNNs) are commonly used for image classification and feature extraction tasks because of their outstanding performance. In this study, our focus is to analyses image spam using a CNN model that incorporates deep learning techniques. This model has been meticulously fine-tuned and optimized to deliver exceptional performance in both feature extraction and classification tasks. In addition, we performed comparative evaluations of our model on different image spam datasets that were specifically created to make the classification task more challenging. The results we obtained show a significant improvement in classification accuracy compared to other methods used on the same datasets.

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Himani Jain mail -

Amit Dixit mail -

Aditi Sharma mail

link https://doi.org/10.54216/JCIM.150106

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2021

Anti-Geometry and NeutroGeometry Characterization of Non-Euclidean Data

Recently, a problem is addressed while dealing with fourth dimensional or non-Euclidean data sets. These are the data sets does not follow one of the postulates established by Euclid specially the parallel postulates. In this case, the precise representation of these data sets is major issues for knowledge processing tasks. Hence, the current paper tried to introduce some non-Euclidean geometry or Anti-Geometry methods and its examples for various applications. 

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Prem Kumar Singh mail

link https://doi.org/10.54216/JNFS.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2021

Certain Kinds of Bipolar Interval Valued Neutrosophic Graphs

Neutrosophic theory has several application in the field of graph theory. In this paper we initiated Certain Kinds of Bipolar interval valued nentrosphic graphs. Such as, sub divsicon BIVNG, Total BIVNG, BIVNLG and also investigate the isomorphism, Coweak isomorphism of BIVNG with properties .

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L. Jagadeeswari mail -

V.J. Sudhakar mail -

V.Navaneethakumar mail -

Said Broumi mail

link https://doi.org/10.54216/IJNS.160105

Volume & Issue

Vol. Volume 16 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2021

Continuity and Compactness on Neutrosophic Soft Bitopological Spaces

In this manuscript, continuity, compactness and  concepts in neutrosophic soft bitopological space have been defined using star bineutrosophic soft open notion. Theorems and properties concerning to these two notions have been investigated here.

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Ahmed B. AL-Nafee mail -

Jamal K. Obeed mail -

Huda E. Khalid mail

link https://doi.org/10.54216/IJNS.160201

Volume & Issue

Vol. Volume 16 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2021