Contra M -Continuous Maps in Neutrosophic Soft Topological Spaces

D.; D.; A.

doi:https://doi.org/10.54216/IJNS.200309

International Journal of Neutrosophic Science | 2023

The Integration of Rational and Irrational Neutrosophic Functions

The purpose of this article is to study the integration of rational and irrational neutrosophic functions, where integration of standard rational neutrosophic functions discussed through three cases, in addition, integration of standard irrational neutrosophic functions were introduced through seven cases.

groups

Yaser A. Alhasan mail -

Iqbal A. Musa mail -

Eman A. Abdelgawad mail -

Suliman Sheen mail

link https://doi.org/10.54216/IJNS.200305

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2023

Multi-Valued Neutrosophic Sets for Forecasting Cryptocurrency Volatility

The media, legislators, investors, scholars, and regulatory agencies have all shown increased interest in the Cryptocurrency sector recently. Using different criteria in furthermore to return and risk in the cryptocurrency issue utilizing the multi-criteria decision-making (MCDM) methodologies makes it more practical in the real world. A model for predicting the volatility of cryptocurrencies is proposed in this study, and it is based on the TOPSIS approach. The model uses five criteria and six cryptocurrencies. Using a multi-valued neutrosophic set, also known as MVNS, helps to reduce the amount of uncertainty associated with the problem. MVNS was used to express the criteria and alternatives, and the model might possibly represent the Cryptocurrency with varying degrees of truth, indeterminacy, and falsity values.

groups

Noura Metawa mail -

Rhada Boujlil mail -

Maha Metawea mail

link https://doi.org/10.54216/IJNS.200306

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2023

A Neutrosophic AHP Analysis for Using Video Conferences in Smart Learning: A Systematic Review

There is evidence that students feel less involved in distance learning, which needs more work from their educators. While distance education allows learners to feel less reluctant and/or timid to ask questions, there is also evidence that students feel less interested in distance education. Students may obtain information and knowledge at their own pace and convenience via the use of distance education. Also, it may assist in reaching the same overall performance and ultimate score as would be achieved via face-to-face instruction. The goal of this study analyzes the performance of video conferences in smart learning. This analysis contains many criteria, so the concept of multi-criteria decision-making is integrated with the neutrosophic sets to overcome uncertain information. We used the neutrosophic AHP to show the importance of each criterion. There are seven criteria used in this paper. The findings demonstrated that the utilisation of video conferences enabled students to gain access to information and educational resources, had a positive effect on the students' constructing knowledge and critical reflection, and resulted in the students reporting an extremely positive learning experience in the context of smart learning.

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Najla M. Alnaqbi mail -

Samira A. Alnuaimi mail -

M. Elhoseny mail

link https://doi.org/10.54216/IJNS.200307

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2023

Generalized Pre-closed Sets in Fermatean Neutrosophic Hypersoft Topological Spaces

The motivation of this article is to develop a new idea namely generalized pre-closed sets in Fermatean Neutrosophic Hypersoft topological spaces. Also, we initiate the idea of generalized pre-open set in Fermatean Neutrosophic Hypersoft topological spaces and its characterizations are analyzed.

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P. Reena Joice mail -

M. Trinita Pricilla mail -

S. Broumi mail

link https://doi.org/10.54216/IJNS.200308

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2023

Optimal Value of the Service Rate in the Unlimited Model M\M\1

Operations research is the applied side of mathematics, and since its inception it has helped to improve the performance of many systems that used its methods in its workflow, one of the methods of operations research is the theory of queues that have been used in many aspects of life, especially the aspects that are directly related to customer service, and the goal is to serve the customer as soon as possible and at the lowest cost, which prompted many researchers to provide   the  research and studies that can be applied in systems that have a queue.These studies showed good results, from these studies this research is  presented to find the optimal value of the service rate in the unlimited model  according to classical logic, we present in this research a study to find the relationship through which we get the optimal value of the service rate using neutrosophic logic and this study is an expansion of the study according to classical logic, through the two studies  The great benefit we get when using neutrosophic logic and neutrosophic values in operations research topics is demonstrated.

groups

Maissam Jdid mail -

Khalifa AlShaqsi mail

link https://doi.org/10.54216/JNFS.060101

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Journal of Neutrosophic and Fuzzy Systems | 2023

Approximate Solution of a Neutrosophic Nonlinear Van der Pol Oscillator Problem by Semi Analytical Method Using Thick Function

In this paper, an analytical method (Homotopy perturbation method HPM) is used for solving the initial value problem represented by a neutrosophic nonlinear Van der Pol oscillator equation (N-VDP) arising in applied dynamics using the thick function. We find the solutions of the (N-VDP) equation by HPM and then compare the numerical results with fourth order Runge-Kutta method (RK4). The results showed that the HPM lead to accurate and efficient results. Furthermore, these results of the HPM scheme and RK4 are implemented in Matlab.

groups

George A. Toma mail -

Fahed Farhood mail -

Taqi A. Alkhatib mail

link https://doi.org/10.54216/JNFS.060102

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2020

A Machine Learning Approach for Energy-Efficient IoT Systems

  The energy challenge in IoT refers to the significant energy consumption of IoT devices, which can lead to sustainability issues, shorter battery life, and increased operating costs. IoT devices are known for their high energy consumption, and optimizing their energy usage can have a significant impact on sustainability and cost. Machine learning (ML) can learn from data and patterns to predict and control energy consumption in IoT systems, making them more energy efficient. The main contribution of this paper is the establishment of a novel deep learning framework for enhanced predictive modeling of energy consumption in IoT networks to help realize Energy-efficient IoT systems. our framework applies recurrent processing to capture long-term relations in the energy consumption of IoT appliances. Then, the self-attention mechanism is devised to help the model to focus on important predictive features.  Simulation experiments against the competing ML baselines demonstrate the predictive capability of our framework. 

groups

Mahmoud M. Ismail mail

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

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2022

Federated Learning for Intelligent Resources Allocation in Internet of Things

By using federated learning (FL), multiple Internet-of-Things (IoT) devices can construct a shared learning model without sending raw data to a centralized server. While FL has come a long way, it still has a ways to go. Issues such as heterogeneous user equipment (UEs) and data that is not independently and uniformly distributed are still obstacles. Facilitating a numerous UEs to participate in the learning in each cycle poses a possible problem of the huge communication budget. A weighted adjoining factor is presented to the localized gradient descent, generalizing the present FedAvg to solve these concerns. At the start of each global round, the proposed FL method randomly selects a fraction of the UEs to perform stochastic gradient descent in parallel. Then, we utilize the suggested FL method in cellular IoT to reduce either total power usage or execution duration of FL, in which a straightforward but effective path-following method is constructed for its explanations. At last, obtained simulations on poorly balanced data are presented to show that the presented FL algorithm is superior to FedAvg in terms of performance with respect to fast convergence. Moreover, they show that the suggested algorithm needs significantly less time and energy to train than the FL algorithm does when users contribute heavily to the learning process. These findings provide strong support for the suggested FL algorithm as a potential paradigm change for training mobile IoT networks with limited bandwidth.

groups

Mahmoud Ismail mail -

Shereen Zaki mail

link https://doi.org/10.54216/JISIoT.070106

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

On the Split-Complex Neutrosophic Numbers and Their Algebraic Properties

The objective of this paper is to define for the first time the concept of split-complex numbers as a new generalization of classical split-complex numbers by using neutrosophic numbers. Also, we study the elementary properties of this new numerical class such as equations, conjugates, and vector spaces formed by it. On the other hand, some special AH-subspaces will be presented and handled with many corresponding examples.

groups

Abuobida M. A. Alfahal mail -

Yaser A. Alhasan mail -

Raja A. Abdulfatah mail -

Rozina Ali mail

link https://doi.org/10.54216/IJNS.200303

Volume & Issue

Vol. Volume 20 / Iss. Issue 3

Details open_in_new

International Journal of Neutrosophic Science | 2023