Kernel Neutrosophic Crisp Sets

Reyadh D.; L. A. A.; Ghassan A.; Ali Younis

doi:https://doi.org/10.54216/IJNS.250222

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RETRACTED ARTICLE: Characterization of bipolar neutrosophic sets to novel concept of complex Q bipolar neutrosophic sets using bisemirings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

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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.

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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.

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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

Journal of Cybersecurity and Information Management | 2025

Comprehensive Analysis of Internet Security Protocols and Standards for Enhanced Network Safety

This research examines all internet security protocols. To develop and test a novel network protection method. The research's comprehensive methodology includes a detailed review of existing security measures, a critical investigation of the recommended method's components, and a vital analysis of its effectiveness. AES is critical to the recommended code efficiency technique. The ablation investigation highlights AES's importance for fast encryption. Multi-factor authentication (MFA) protects and boosts authentication scores, making login simpler. The article defines "fast intrusion reaction time" and provides examples of how quickly the proposed technique may handle security incidents. The ablation research highlights the impact on this swift response, underscoring the importance of proactive intrusion detection and response. The study's findings will help firms secure their websites. The recommended solution is superior to others and protects against emerging internet dangers. The report recommends quick response systems, multi-layered identities, and security upgrades. This research teaches us online safety principles. It also provides a standard for network protection firms. Many studies have proved that the recommended strategy works, making it a significant aspect of current defensive efforts to address global concerns.

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Sunil Kr Pandey mail -

Prashant Kumar Shukla mail -

Piyush Kumar Pareek mail -

Cosmena Mahapatra mail -

Puneet Kumar Aggarwal mail -

Udit Mamodiya mail

link https://doi.org/10.54216/JCIM.150126

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2024

On the Perfect Italian Domination Numbers of Some Graph Classes

A function f:V(G)→{0,1,2} is called a Perfect Italian dominating function (PIDF) of a graph G=(V,E) if ∑_(v∈N(u)) f(v)=2 for every vertex u∈V(G) with f(u)=0. The weight of an PIDF is w(f)=∑_(v∈V) f(v) . The minimum weight of all Perfect Italian dominating functions that can be conducted on a graph G is called the perfect Italian domination number of G and is denoted by γ_I^p (G). In this paper, we study the problem on different graph classes. We determine the perfect Italian domination numbers of the circulant graphs C_n {1,2} for n≥5 and give upper bounds for γ_I^p (C_n {1,3})  when n≥7. We also find this parameter for generalized Petersen graph P(n,2) when n≥5. We determine γ_I^p (G) of strong grids P_2⊠P_n  and P_3⊠P_n for arbitrary n≥2, then we introduce an upper bound for γ_I^p (P_m⊠P_n ) when m,n≥2 are arbitraries. Finally, we determine the perfect Italian domination number of Jahangir graph J_(s,m) for arbitrary s≥2 and m≥3.

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Khadija Ben Othman mail

link https://doi.org/10.54216/GJMSA.0110104

Volume & Issue

Vol. Volume 11 / Iss. Issue 1

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2024

On The Markov-Bernstein Inequalities with Weight Functions in Lp Spaces

In this paper, we study of the Markov- Bernstein inequality of a complex polynomial with exponential weight functions  e^(-r^2  z/2)   on the domain ├]-∞,+∞┤[,    we also study the Integral Markov-Bernstein inequality for the algebraic polynomials of degree 2m and degree m with algebraic weight functions on the domain [1,+∞┤[of type (1/x^2 )^(-n), and on the domain ├]0,+∞┤[of type (1/t)^(-n).

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Sergey Drominko mail -

Erina Kovachiskaya mail

link https://doi.org/10.54216/GJMSA.0110105

Volume & Issue

Vol. Volume 11 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2025

Integrating Internet of Things Sensors with Machine Learning for Urinary Tract Infection Prediction in Male Felines

Urinary Tract Infections (UTIs) are a prevalent medical condition affecting male felines that can lead to severe discomfort, behavioural changes, and even fatality if not promptly diagnosed and treated. This paper aims to address the limitations of traditional diagnostic methods by integrating Internet of Things (IoT) sensors with machine learning algorithms to predict UTIs in male felines. The study utilizes a multi-modal sensor array to continuously monitor various physiological and behavioural parameters, such as acidity of urine pH levels, heart rate, territorial marking, and eating habits. Observations were categorized into several states, ranging from normal conditions to severe abnormalities, including death. A machine learning model was trained on the collected data to identify early signs of UTIs. The model demonstrated a high predictive accuracy in identifying urinary tract infections before the manifestation of severe symptoms, thus providing a promising avenue for early intervention. The integrated system offers a non-invasive, real-time monitoring solution that could significantly improve the management and the treatment outcomes of UTIs in male feline.

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Danish Ather mail -

Tanveer Baig .Z mail -

Ambuj Kumar Agarwal mail -

Suhail Javed Quraishi mail -

Malikhan singh mail -

Rajeesh Kher mail

link https://doi.org/10.54216/JISIoT.140121

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

Journal of Cybersecurity and Information Management | 2025

Transfer Learning Models for E-mail Classification

Phishing and spam are examples of unsolicited emails, result in significant financial losses for businesses and individuals every year. Numerous methodologies and strategies have been devised for the automated identification of spam, yet they have not demonstrated complete predictive precision. Within the spectrum of suggested methodologies, ML and DL algorithms have shown the most promising results. This article scrutinizes the outcomes of assessing the efficacy of three transformation-based models - BERT, AlBERT, and RoBERTa - in scrutinizing both textual and numerical data. The proposed models achieved higher accuracy and efficiency in classification tasks, which was a notable improvement above traditional models such as KNN, NB, BiLSTM, and LSTM. Interestingly, in several criteria the Roberta model achieved almost perfect accuracy, suggesting that it is very flexible on a variety of datasets.

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Muatamed Abed Hajer mail -

Mustafa K. Alasadi mail -

Ali Obied mail

link https://doi.org/10.54216/JCIM.150127

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2025