Proposing a Mobile Application for Educational Institutions' Support during Epidemic Crises

Esraa M; A. F.; W. K.

doi:https://doi.org/10.54216/FPA.170118

Fusion: Practice and Applications | 2025

Face Detection and Localization in Video Using HOG with CNN

Face detection is important in computer vision and image processing, particularly in surveillance, security systems, video analytics, and facial recognition applications. However, face detection algorithms face challenges like position variations, lighting fluctuations, size and resolution differences, facial expressions, and background clutter. This research aims to develop a system that achieves high accuracy in detecting and localizing faces using local descriptors and spatial feature extraction techniques, specifically the Histogram of Oriented Gradients method (HOG). Using videos from the YouTube Face database, features were extracted from frames and trained using a convolutional neural network (CNN). The HOG technique achieved a 94% accuracy rate and good localization compared to CNN without feature extraction.

groups

Faqeda Hassen Kareem mail -

Mohammed Abdullah Naser mail

link https://doi.org/10.54216/FPA.170117

Volume & Issue

Vol. Volume 17 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2025

Sentimental Analysis to Predict Stock Market Using in Neutrosophic Time Series

This study delves into the innovative use of sentiment analysis in conjunction with neutrosophic time series to forecast stock market trends in various contexts. By meticulously analyzing financial news and social media data, sentiment scores are derived and subsequently integrated into a neutrosophic time series model. This model is uniquely adept at managing uncertainty and indeterminacy, providing a robust framework for prediction. The findings indicate that this integrated approach significantly enhances predictive accuracy and reliability over traditional time series models. This research presents a novel methodology for tackling the intrinsic unpredictability of stock markets, offering a more reliable tool for investors and analysts across diverse financial environments. Additionally, by incorporating sentiment scores from a wide range of sources, the model captures a comprehensive view of market sentiment, reflecting the collective mood and opinions of investors. This comprehensive approach ensures that the predictions are not only accurate but also reflective of real-time market dynamics. Finally, this work highlights the possibility of merging sentiment analysis with sophisticated modeling approaches to change stock market prediction, as well as providing a promising avenue for future financial forecasting research.

groups

Saravanaraj .S .S mail -

Vediyappan Govindan mail -

Said Broumi mail -

Haewon Byeon mail

link https://doi.org/10.54216/IJNS.250215

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

On the Irreversible k-Threshold Conversion Number for Some Graph Products and Neutrosophic Graphs

An irreversible k-threshold conversion process on a graph G=(V,E) is an iterative process that studies the spread of a one way change (from state 0 to 1) on V(G). The process begins by choosing a set S_0&sube;V. For each step t(t=1,2,…,), S_t is obtained from S_(t-1) by adjoining all vertices that have at least k neighbors in S_(t-1). We call S_0 the seed set of the k-threshold conversion process and if S_t=V(G) for some t≥0, then S_0 is called an irreversible k-threshold conversion set (IkCS) of G. The k-threshold conversion number of G (denoted by (c_k (G)) is the minimum cardinality of all the IkCSs of G. In this paper, we study IkCSs of toroidal grids and the tensor product of two paths. We determine c_2 (C_3×C_n )  and we present upper and lower bounds for c_2 (C_m×C_n) for m,n≥3. We also determine c_2 (P_2×P_n ),c_2 (P_3×P_n ) and present an upper bound for c_2 (P_m×P_n) when m,n>3. Then we determine c_3 (P_m×P_n) for m=2,3,4 and arbitrary n. Finally, we determine c_4 (P_m×P_n) for arbitrary m,n. . Also, we study the same concepts over some neutrosophic graphs with suggestions for future neutrosophic and fuzzy generalizations.

groups

Ahmad A. Abubaker mail -

Raed Hatamleh mail -

Khaled Matarneh mail -

Abdallah Al-Husban mail

link https://doi.org/10.54216/IJNS.250216

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

On the Numerical Solutions for Some Neutrosophic Singular Boundary Value Problems by Using (LPM) Polynomials

The main goal of this work is to study the effect of applying Lagrange's polynomials on finding the numerical solutions of many different neutrosophic boundary value problems, where we use those polynomials to solve three different neutrosophic boundary value problems numerically, and we present many numerical tables to compare the accuracy of the solutions obtained by Lagrange's polynomials with other famous methods such as Adomian's method.

groups

Ahmad A. Abubaker mail -

Raed Hatamleh mail -

Khaled Matarneh mail -

Abdallah Al-Husban mail

link https://doi.org/10.54216/IJNS.250217

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

Enhancing Anomaly Detection in Industrial Control Systems through Supervised Learning and Explainable Artificial Intelligence

This paper addresses industrial control security (ICS) security, focusing on utilizing intrusion detection systems (IDS) to protect ICS networks. It suggests the use of a Measurement Intrusion Detection System (MIDS) over a Network Intrusion Detection System (NIDS), directly analyzing measurement data to detect unseen activities. Training MIDS requires a labeled dataset of various attacks, and a hardware-in-the-loop (HIL) system is used for safer attack simulations. The main aim is to assess MIDS performance through machine learning (ML) on this dataset. Explainable artificial intelligence (XAI) is integrated for transparency in decision-making. Various ML models, such as random forest, achieve high accuracy in detecting anomalies, notably stealthy attacks, with a receiver operating curve (ROC) of 0.9999 and an accuracy of 0.9795. This highlights the importance of machine learning in securing ICS, supported by XAI's explanatory power.

groups

Dhruv G. Bhatt mail -

Parshad U. Kyada mail -

Rajkumar Singh Rathore mail -

M. K. Nallakaruppan mail -

Faisal Mohammed alotaibi mail -

Rutvij H. Jhaveri mail

link https://doi.org/10.54216/JCIM.150125

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2025

On Neutrosophic of BE-Algebra

The BE-Algebra was presented by Kim in 2007. After that, several authors studied this type of logic concept in algebra. In this paper, we introduce more properties and remarks of BE-Algebra. Note that (A,*,1) is called BE-algebra if   ∀ a ∈A, b, c ∈A: collect a*a=1, a*1=1, 1*a=a and a*(b*c)=b*(a*c). In addition, a Neutrosophic BE-filter FI subset of the Neutrosophic BE-algebra is Neutrosophic BE-algebra AI is Neutrosophic BE-subalgebra AI.  Some new results and the criterion to determine some properties of BE-algebra and several relationships with another algebra namely Hibert algebras (H-algebra).

groups

Marrwa A. Salih mail -

Dunia A. Jarwan mail -

Majid M. Abed mail

link https://doi.org/10.54216/IJNS.250218

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

Homomorphism of complex neutrosophic set extended to cubic Q neutrosophic set concept via subbisemiring of bisemirings

We introduce the concept of complex cubic Q neutrosophic subbisemiring (CCQNSBS) is a new extension of cubic Q neutrosophic subbisemiring. We examine the characteristics and homomorphic features of CCQNSBS. We communicate the CCQNSBS level sets for bisemirings. A cubic complex Q neutrosophic subset G if and only if each non-empty level set R is a ComCQNSBS of S. We show that the intersection of all CCQNSBSs yields a CCQNSBS ofS. If S1, S2, …,Sn be the finite collection of CCQNSBSs of respectively. Then S1* S2* …* Sn is a CCQNSBS of S1* S2* …* Sn. If F : S1 --- S2 is a homomorphism, then F is a subbisemiring of CCQNSBS  of S2. Examples are provided to show how our findings are used.

groups

Aiyared Iampan mail -

Murugan Palanikumar mail

link https://doi.org/10.54216/IJNS.250219

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

RETRACTED ARTICLE: Characterization of bipolar neutrosophic sets to novel concept of complex Q bipolar neutrosophic sets using bisemirings

The notion of the complex Q bipolar neutrosophic subbisemiring (CQBNSBS) is a fundamental notion to be considered for tackling tricky and intricate information. Here, in this study, we want to expand the notion of CQBNSBS by giving a general algebraic structure for tackling bipolar complex fuzzy (BCF) data by fusing the conception of CQBNSBS and subbisemiring. Keeping in view the importance of fuzzy algebraic structures, in this manuscript, we develop the concept of CQBNSBS. We analyze the important properties and homomorphic aspects of CQBNSBS. For bisemirings, we propose the CQBNSBS level sets. We also develop the notions of homomorphic images of all CQBNSBSs is also CQBNSBS and homomorphic pre-images of all CQBNSBSs is also CQBNSBS. Examples are provided to demonstrate our findings.

groups

R. Balaji mail -

Murugan Palanikumar mail -

Aiyared Iampan mail

link https://doi.org/10.54216/IJNS.250220

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2025

A note on Category of SuperHyper BCI-Algebra

In this paper, we have put forward the SH-homo and 0−preserving SH-homo to compare two SH groupoids along with few examples. Some properties of SH-homo and 0−preserving SH-homo are explored. Also, we proved the SH-homo between two SuperHyper BCI-Algebra is 0−preserving SH-homo. Finally, the category of SuperHyper Groupoid, SuperHyper BCI-Algebra and Neutrosophic SuperHyper BCI-Algebra were investigated.

groups

Santhakumar .S mail -

Sumathi .I .R mail -

Mahalakshmi .J mail

link https://doi.org/10.54216/IJNS.250221

Volume & Issue

Vol. Volume 25 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2025

Proposing a Mobile Application for Educational Institutions' Support during Epidemic Crises

This study proposes an intelligent system designed to detect and manage epidemic outbreaks within institutional settings by leveraging a fusion of advanced AI technologies. The system operates through five key stages: symptom-based diagnostic testing, AI-powered cough detection, analysis of X-ray and CT scan images using Convolutional Neural Networks (CNN), evaluation of vital signs, and the geolocation of COVID-19 patients using GPS. Cough detection is enhanced by integrating Short-Time Fourier Transform (STFT) and Mel-Frequency Cepstral Coefficients (MFCC). Trained on an extensive dataset comprising over 5,856 CT scans, 7135 X-ray images, and over 30,000 crowdsourced cough recordings, the system demonstrates a high accuracy rate of 95% in identifying potential epidemic cases. This fusion of techniques offers a robust solution for early detection and rapid intervention, significantly mitigating the risk of widespread transmission within high-density environments.

groups

Esraa M El-mohdy mail -

A. F. Elgamal mail -

W. K. Elsaid mail

link https://doi.org/10.54216/FPA.170118

Volume & Issue

Vol. Volume 17 / Iss. Issue 1

Details open_in_new