Several Factors to Analyze the Issues Concerned with the Internet of Things: Methods and analysis

Ahmed; Alia Nabil

doi:https://doi.org/10.54216/JISIoT.070202

Journal of Neutrosophic and Fuzzy Systems | 2022

A Short Contribution To Von Shtawzen's Abelian Group In n-Cyclic Refined Neutrosophic Rings

This paper is dedicated to study the group of units (Von Shtawzen's group) of some numerical n-cyclic refined neutrosophic rings such as integer, rational, and real case. Where we write the elements of these abelian groups by using equations derived from the values of some circulant numerical  determinants.

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A .Alrida Basheer mail -

Katy D. Ahmad mail -

Rozina Ali mail

link https://doi.org/10.54216/JNFS.030206

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2022

Shortest Path Problem on Neutrosophic Environment using Modified Circle Breaking Algorithm

Neutrosophic set (NS) is generalization of Intuitionistic Fuzzy Set(IFS) and Fuzzy Set (FS) where  Neutrosophic Set(NS) is the collection of Membership, Non-Membership, Indeterminacy Membership of the constituent element. This paper includes the modified circle breaking techinque which is used to evaluate the Shortest Path Problem in which edge weight are protrayed in Single Valued Linear Heptagonal Neutrosophic Number (SVLHNN) and an numerical illustration is given for the efficiency of the given algorithm.

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Amala S. Richard mail -

A.Rajkumar mail -

D.Nagarajan mail -

broumi said mail

link https://doi.org/10.54216/IJNS.180432

Volume & Issue

Vol. Volume 18 / Iss. Issue 4

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International Journal of Neutrosophic Science |

Hyers - Ulam - Rassias Stability Of Various Functional Equations In Non-Archimedean Neutrosophic Normed Spaces

In this paper, we introduce the notion of non- Archimedean neutrosophic normed space and also establish Hyers-Ulam-Rassias-type stability results concerning the Cauchy, Pexiderized Cauchy. We determine some stability results concerning the Cauchy, Jensen and its Pexiderized functional equations in the framework of non-Archimedean Neutrosophic Normed Space. This work indeed presents a relationship between four various disciplines, the theory of neutrosophic normed space, non – Archimedean, Hyers-Ulam-Rassias stability and functional equation.

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Journal of Artificial Intelligence and Metaheuristics | 2022

Building An Intelligent Security System for Preventing Child Abduction

The care of new born infants is the most important and sensitive part of the biomedical domain. A prototype is developed which gives a reliable and efficient infant monitoring system that can play a vital role in providing better infant care. The focus of this paper is to implement a smart health monitoring system that uses noninvasive sensors to read different health parameters. Implementation of affordable medical technology health monitoring sensor system is developed and demonstrated to measure blood saturation levels (SpO2), heart rate, motion rate, and body temperature simultaneously. The embedded system is based on a Wi-Fi module to the mobile application for the parents to be aware of his condition for reassurance. The safety issue of the infant is also confirmed in this system. So its location can be required in the application using a GPS module so that the infant more saver to avoid widespread abductions and The theft of the infants is reduced.

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Marwa Eid mail -

Ahmed Tarek mail -

Eslam Ahmed mail -

Nour El deen Mohamed mail -

Eslam Mohamed mail -

Aya Mahmoud mail

link https://doi.org/10.54216/JAIM.010105

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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Journal of Artificial Intelligence and Metaheuristics | 2022

Improving the Regression of Air Quality Using Ensemble of Machine Learning Models

Air pollution is a particularly important problem in most countries right now because of its terrible effects on both the environment and human health. Big cities are most impacted because of the country’s quick industrial and economic development. In this paper, the authors proposed various regression model for the prediction of air quality including decision tree regressor, MLP regressor, SVR, random forest regressor, and K-Neighbors regressor. The air quality dataset, in Itally cities, is used for training and evaluation the proposed model. The results show that there is a decrease in RMSE, MAE, MBE, R, R2, RRMSE, NSE, and WI when compared to the traditional methods.

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Hamzah A. Alsayadi mail -

Abdelaziz A. Abdelhamid mail -

El-Sayed M. El-Kenawy mail -

Abdelhameed Ibrahim mail -

Marwa M. Eid mail

link https://doi.org/10.54216/JAIM.010201

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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International Journal of Advances in Applied Computational Intelligence | 2022

Natural Language Generation and Creative Writing A Systematic Review

Among studies on natural language generation (NLG), computational creativity, and human-computer interaction; there is a vision of witnessing these tools collaborating with humans in generating and authoring creative content. This study aims to systematically review published studies discussing creative writing and story generation during the period of 2016-2021. This work seeks to identify the primary research methods used in NLG and creative writing studies, to locate how these studies are distributed geographically, and finally, to classify the subfields or common keywords primarily used in NLG involving creative writing. The findings suggest that experiment studies and problem-solving were the most common research methods in NLG and creative writing.  Major identified themes in the reviewed articles include story generation, language models, and co-creativity, along with some gaps in foreign language translation and humour generation studies. The majority of the studies suggest that NLG tasks had a positive impact on creative writing. Common tasks related to NLG and creative writing are typically using keywords such as story generation, co-creativity, co-writing, user interface and writing tools. In future work, we aim to explore more GPT-3 capabilities in creative writing, in addition to creative writing applications in foreign language translation tasks.

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Abdulla Alsharhan mail

link https://doi.org/10.54216/IJAACI.010105

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

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American Journal of Business and Operations Research | 2022

COVID-19 vaccine choice using the multi-criteria decision making method under uncertainty

COVID-19, a coronavirus pandemic unlike any seen before, is in a state of flux over the planet. Since the COVID-19 pandemic now poses a serious danger to all nations, it is critical that policymakers find the most effective response possible. The coronavirus is difficult to eradicate, however the COVID-19 vaccination may help with that. Everyone is wondering which vaccination would be best for them. Multi-criteria decision-making (MCDM) is an excellent method for assessing this maze. As a result, we have suggested a cutting-edge MCDM method for choosing COVID-19 vaccinations. The primary objective of this work is to deliver a technique for MCDM. In this investigation, we present a unique hybrid model that combines the strengths of the neutrosophic Analytic Hierarchy Process (N-AHP) and the neutrosophic VIKOR technique. Using the N-AHP, we can quantify the importance of the criterion, and using the N-VIKOR method, we can prioritize our options for interventions.

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Ahmed Abdelaziz mail -

Alia Nabil Mahmoud mail

link https://doi.org/10.54216/AJBOR.080104

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

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Journal of Neutrosophic and Fuzzy Systems | 2023

On Binary Neutrosophic Crisp Points And Binary Neutrosophic Neighborhoods

As a generalization of crisp topology, neutrosophic crisp topology was introduced. As a progression, binary neutrosophic crisp sets were introduced in this article and their properties were also studied. With the idea that neutrosophic crisp points forms the basis for the neutrosophic neighborhood structures, new points namely binary neutrosophic crisp points were introduced in this article. Owing to the new points, binary neutrosophic neighborhood structure in the new space named as binary neutrosophic crisp topological space is framed. Eventually properties of binary neutrosophic crisp neighborhoods were discussed.

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A.G.Rose Venish mail -

L. Vidyarani mail -

M.Vigneshwaran mail

link https://doi.org/10.54216/JNFS.050102

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

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American Journal of Business and Operations Research | 2022

Internet of Things risks, benefits, challenges in industrial application: Survey

The Internet of Things (IoT) is a crucial and rapidly developing technology that is employed in a wide variety of essential real-life apps, including those in which it may be used to enhance decision making. However, the presence of a number of potential sources of uncertainty inside the IoT infrastructure might influence decision makers to take decisions that are not suitable. In the work that is being presented here, the primary emphasis is placed on the development of a risk-based decision-making methodology for the Internet of Things (IoT), with the goal of efficiently managing uncertainties and incorporating prior domain knowledge into the decision-making process. The creation of the framework is based on a systematic literature analysis that examines the risks and reasons of ambiguity in decision-making systems related to the internet of things (IoT). IoT risk contains many and conflicting criteria so, the concept of multi-criteria decision making is introduced to overcome this problem. The purpose of this article is to provide the comprehension survey of the decision making based on IoT risk evaluation.

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Ahmed Abdelmonem mail -

Shimaa S. Mohamed mail

link https://doi.org/10.54216/AJBOR.080105

Volume & Issue

Vol. Volume 8 / Iss. Issue 1

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Journal of Intelligent Systems and Internet of Things | 2022

Several Factors to Analyze the Issues Concerned with the Internet of Things: Methods and analysis

The fast advancement of technology has contributed to a rise in everyone's demand to be connected to the internet. The Internet of Things is a notion that emerged with the fourth industrial revolution as a result of the finding that things that were born of the Internet can connect without the need for external causes (IoT). The communication of items with one another ensures that firms will spend as little time and money as possible on labor. Businesses that want to make the switch to the Internet of Things are going to run across a lot of challenges. The process of identifying and fixing these issues may result in both time and financial waste. Within the scope of this research, we looked at the challenges that are associated with the IoT. As a consequence of the research, the level of relevance of the elements that are generating these challenges was figured out using multi-criteria decision-making (MCDM) procedures, and the findings were given to the businesses. We decided on the primary criteria, as well as the secondary criteria that are connected to these primary criteria. The communication of different objects with one another is the primary goal of businesses that are making the shift to Industry 4.0. The purpose of this research was to identify the factors that contributed to the challenges encountered throughout the evolution to Industry 4.0. In the next step of the MCDM process, the DEMATEL approach was used to evaluate the level of significance associated with each of the factors. As a result of the research, we were able to establish which factors should be regarded as important for businesses that are interested in making the shift to the IoT. In this approach, businesses will be able to speed up the transition while limiting the amount of time and money lost in the process.

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Ahmed Abdelaziz mail -

Alia Nabil Mahmoud mail

link https://doi.org/10.54216/JISIoT.070202

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new