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Found 3739 matches for "All Articles"

A New Score Function of Pentagonal Neutrosophic Number and its Application in Networking Problem

Pentagonal neutrosophic number is an extended version of a single typed neutrosophic number. Real-humankind problems have different sorts of ambiguity in nature and among them; one of the important problems is solving the networking problem. In this contribution, the conception of pentagonal neutrosophic number has been focused on a distinct framework of reference. Here, we develop a new score function and its estimation has been formulated from different perspectives. Further, a time computing-based networking problem is considered herein the pentagonal neutrosophic arena and solved it using an influx of dissimilar logical & innovative thinking. Lastly, the computation of the total completion time of the problem reflects the impotency of this noble work.

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Avishek Chakraborty mail
link https://doi.org/10.54216/IJNS.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

MBJ-neutrosophic T-ideal on B-algebra

   In this paper we define and study the MBJ-neutrosophic T-ideal through diferent concept like union, intersection. further we use the important properties to investigate the MBJ-neutrosophic T-ideal under cartesian product and homomorphic results.

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Mohsin Khalid mail -
Neha Andaleeb Khalid mail -
Rakib Iqbal mail
link https://doi.org/10.54216/IJNS.010103

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

A Direct Model for Triangular Neutrosophic Linear Programming

This paper aims to propose a new direct algorithm to solve the neutrosophic linear programming where the variables and right-hand side represented with triangular neutrosophic numbers. The effectiveness of the proposed procedure is illustrated through numerical experiments. The extracted results show that the new algorithm is straightforward and could be useful to guide the modeling and design of a wide range of neutrosophic optimization.

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S. A. Edalatpanah mail
link https://doi.org/10.54216/IJNS.010104

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

A Single Valued Neutrosophic Inventory Model with Neutrosophic Random Variable

This paper presents the problematic period of neutrosophic inventory in an inaccurate and unsafe mixed environment. The purpose of this paper is to present demand as a neutrosophic random variable.  For this model, a new method is developed for determining the optimal sequence size in the presence of neutrosophic random variables.  Where to get optimality by gradually expressing the average value of integration. The newsvendor problem is used to describe the proposed model.

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M. Mullai*, K. Sangeetha, R. Surya, G. Madhan kumar, R. Jeyabalan mail -
S. Broumi mail
link https://doi.org/10.54216/IJNS.010201

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

The Relationship between Artificial Intelligence and Internet of Things: A quick review

Internet Of Things (IOT) is a network of various devices that are connected over the internet, and they can collect and exchange data with each other. These IOT devices generate a lot of data that needs to be collected and mined for actionable results through use artificial intelligence (AI) to manage huge data flows and storage in the IOT network. In this paper we briefly discussed about what IOT is, what AI is, Algorithm of AI, Challenge AI with IOT, application of artificial intelligence system in the IOT. The self-optimizing network and software defined network are parts of the important parameters in the Artificial Intelligence IoT System. This paper provides a general discussion about importance of the IoT in different applications. The paper covers different applications of IoT and shows the relationship between AI and IoT. The role of the AI in IoT applications is extensively discussed. In the future work, we are planning to work on improving the performance of IoT applications using advanced AI methods and algorithms such as Machine Learning and Deep Learning.

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Esraa Mohamed mail
link https://doi.org/10.54216/JCIM.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Authenticating IoT Devices issues based on Blockchain

The Internet of Things (IoT) is increasingly an authenticity today. Nevertheless, some key challenges still need to be given care so that IoT solutions further support the rising demand for connected devices and the facilities offered. Outstanding to the possible significance and sensitivity of facilities, IoT solutions should address the security and privacy worries nearby these devices and the data they assemble, generate, and process. Recently, Blockchain technology has increased much attention in IoT solutions. Its principal usage conditions are in the financial domain, where Blockchain creates a capable application world and can be leveraged to explain security and privacy issues. However, this developing technology has a great possibility in the most various technological areas and can significantly help achieve the Internet of Things view in different features, increasing the measurements of decentralization, facilitating communications, allowing new transaction models, and allowing independent coordination of the devices. The paper's goal is to provide the ideas about the structure and operation of Blockchain and, typically, analyze how the use of this technology can be used to deliver security and privacy in IoT.

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Hosny. H. Abo Emira mail
link https://doi.org/10.54216/JCIM.010202

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

Innovation Technologies for the Financial Sector: An Integrative Review of Value Creation, Market Redesign, and Governance Challenges

Financial innovation has evolved from the digitization of individual services to the redesign of financial infrastructures, organisational boundaries and market relationships. This review brings together recent evidence across five key areas of AI and advanced analytics, blockchain and distributed ledgers, open banking and application programming interfaces, central bank digital currencies, platform-based finance and digitally enabled sustainable finance. Journal articles from 2020-2025 that were published in peer-reviewed journals were subjected to a structured integrative review. The final evidence base consists of 24 studies that were chosen for being topical, clear in terms of methodology, and published in a scholarly journal. All articles were coded by technology domain, the financial function, research design, principal value mechanism, and the predominant risk. The synthesis illustrates how the four foundational mechanisms of innovation—information friction reduction, verification and execution automation, financial services availability expansion, and programmable or data-portable financial market architectures—can generate value. But second order risks are also created, including algorithmic opacity, privacy externalities, platform concentration, cyber dependency, regulatory fragmentation, and new channels of liquidity or systemic stress. While strong evidence exists for blockchain, digital money and open banking, the organizational studies of generative AI, embedded finance, PFTs and quantum-ready financial infrastructure are still in their infancy. The Review builds a governance-based framework on which the financial outcome depends on a combination of technological capability, institutional design, and market structure. It ends with a research agenda focused upon causal evaluation, cross-jurisdictional comparison, resilience metrics and human accountability in increasingly autonomous financial systems

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Heba Moselhy mail -
Fadi Farha mail
link https://doi.org/10.54216/FinTech-I.060103

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Multiplicative Interpretation of Neutrosophic Cubic Set on B-Algebra

The purpose of this paper is to interpret the multiplication of neutrosophic cubic set. Here we define the notation of ɤ-multiplication of neutrosophic cubic set and study it with the help of neutrosophic cubic M-subalgebra, neutrosophic cubic normal ideal and neutrosophic cubic closed normal ideal. We also study ɤ-multiplication under homomorphism and cartesian product through significant characteristics.

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Mohsin Khalid mail -
Neha Andaleeb Khalid mail -
Hasan Khalid mail -
Said Broumi mail
link https://doi.org/10.54216/IJNS.010202

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

A Novel Fuzzy Bat Based Ambulance Detection and Traffic Counting Approach

In the recent years the importance of automatic traffic control has increased due to the traffic jams problem especially in big cities for signal control and efficient traffic management. The input video is processed and analyzed to detect an ambulance vehicle. This article introduces a robust approach for ambulance detection and traffic counting approach using novel fuzzy Bat swarm optimization and different image processing techniques. The fuzzy Bat based optimization algorithm is used to generate a template of ambulance from the abstracted frames obtained from predefined ambulance samples. This is done by using a collection of Gabor filters that have been particularly customized for the ambulance detection problem in which filter selection is achieved to group filters that have similar characteristics. The fitness criterion based on Support Vector Machine (SVM) is used to evaluate the output filters. The proposed approach is composed of the following five fundamental building phases: Fuzzy Bat based optimization, image acquisition, object detection, counting the connected objects, and finally ambulance detection.  One of the main advantages of the proposed approach is that key Gabor filters is obtained from the selected features (filters with highest membership values) which have a vital role in the ambulance detection phase. Experimental results show that the overall accuracy confirms that the performance of the proposed approach is high.

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Hossam M. Moftah mail -
Taha M. Mohamed mail
link https://doi.org/10.54216/JCIM.010203

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new

Adaptive RegTech for Financial Complaint Operations: Temporal Institutional Risk Signals Outperform Text–Tabular Fusion in Predicting Untimely Responses

While the innovation in the financial sector can be measured by the products it offers customers, many valuable innovations are generated by operational technologies that facilitate the regulatory system to respond more quickly. This research designs and pilots an adaptive regulatory-technology approach to prioritize consumer complaints at high risk of an untimely institutional response. A leakage-safe chronological design is used to compare four approaches: static historical institutional-risk benchmark, short-horizon rolling-risk score, interpretable structured classifier, and text–tabular fusion classifier. Selection and calibration of models come before a non-biased one-month holdout period for evaluation. Untimely responses are very uncommon, and performance is evaluated based on precision–recall discrimination, calibration, and lift and recall under fixed review-capacity constraints, not just on accuracy. The seven-day rolling institutional-risk score proved to be the best performing operational group at a 2% review budget, identifying 75.7% of cases that arrive late with 9.9% accuracy, a 37.8-fold lift over random review. When the review budget was increased to 5%, 92.8% of cases that were untimely were captured. Unlike a common belief in financial NLP, incorporating any complaint-language indicator failed to improve financial ranking results: The fused model performed worse than any of the institutional-risk dynamic or static benchmarks. When service failures are concentrated in institutions, the findings indicate that the operational state near to the time of the failure could convey more information than richer complaint content. The suggested framework provides a clear low cost human-in-the-loop RegTech solution that allows to channel limited compliance focus and maintain auditability and chronological validity.

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Samandarboy Sulaymanov mail -
Olimjonov Olimjonovich mail
link https://doi.org/10.54216/FinTech-I.060101

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new