Fixed point theorems for self-maps on 4-dimensional ball metric spaces and extension to n-dimensional (n≥4) ball metric spaces

Ravi

International Journal of Advances in Applied Computational Intelligence | 2023

Wind Turbine Prediction using Deep Learning and Long Short Term Memory (LSTM)

Accurate forecasting is essential for the long-term success of adding wind energy to the national power system. In this study, we look at forecasting wind turbine using a LSTM deep learning model. To forecast potential outcomes for a time series, it is sufficient to initially obtain pertinent details from past data. While many methods struggle with understanding the long-term dependencies encoded in data sets, LSTM options, an instance of the strategy in deep learning, show potential for efficiently overcoming this challenge. An overview of LSTM's architecture and forward propagation method is provided initially. LSTM network is applied to the wind turbine prediction dataset. This dataset has 9 features and 6575 records.  There are four performance matrices used to test the model. The four matrices are mean squared error (MSE), mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean squared error (RMSE). MAPE obtained the least error.

groups

Myvizhi M. mail -

Ahmed Abdel-Monem mail

link https://doi.org/10.54216/IJAACI.030205

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

Towards Sustainable Supply Chain Management: A MCDM Framework

This paper proposes a novel Multi-Criteria Decision Making (MCDM) framework for sustainable supply chain management. The framework addresses the challenges of evaluating and selecting suppliers based on sustainability criteria, optimizing logistics operations, and making sustainable decisions within the supply chain. Through a comprehensive case study, the effectiveness of the proposed framework is demonstrated. The results show that the framework provides a structured and systematic approach for evaluating supplier sustainability performance and supporting decision-making. The framework integrates established MCDM techniques, such as Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), while accommodating the unique requirements of supply chain sustainability. The findings highlight the advantages of the proposed framework, including its ability to handle uncertainties, incorporate multiple criteria, and facilitate informed decision-making for sustainable supply chain management.

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Zenat Ahmed mail -

Amal F. Abdel-Gawad mail -

Mahmoud M. Ismail mail

link https://doi.org/10.54216/JSDGT.020202

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

Rethinking Waste Management: A Holistic Sustainability Framework for a Circular Economy

As societies face increasing environmental challenges, the need for holistic sustainability frameworks in waste management becomes imperative. This paper presents a comprehensive approach to rethinking waste management within the context of a circular economy. The study begins by examining the limitations of current waste management practices, highlighting the urgency to transition towards sustainable solutions. Emphasizing the importance of a circular economy, the paper discusses the potential benefits of adopting circular principles in waste management systems. The primary objective of this research is to propose a holistic sustainability framework that integrates key components for effective waste management, including waste reduction, recycling, resource recovery, and stakeholder engagement. The framework incorporates established methodologies such as Life Cycle Assessment (LCA), Material Flow Analysis (MFA), and Multi-Criteria Decision Analysis (MCDA) to guide decision-making processes. The framework is validated through a case study on Tokyo, Japan, assessing the applicability and effectiveness of the proposed approach in a real-world context. The findings highlight the significance of implementing source separation programs and promoting composting to reduce the organic waste fraction in Tokyo. Such measures can divert organic waste from landfills and transform it into a valuable resource. The validated framework provides insights into developing a holistic sustainability framework for waste management, contributing to the advancement of sustainable practices in achieving a circular economy.

groups

Ahmed Abdel-Rahim EI-Douh mail -

Ahmed Abdelhafeez mail

link https://doi.org/10.54216/JSDGT.020203

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

A MCDM Methodology to Analysis Strategies and Factors of Lean Production in Sustainability Development

Increases in sustainability performance and the adoption of innovative strategies for continuous improvement were driven by the need for production companies to compete in an increasingly globalized economy. Better operational performances are achieved when sustainable Production is included in industrial processes because wastes, costs, and environmental effects are reduced, and ergonomic requirements are met. To improve their performance and maintain a leading position in the market, several companies have turned to sustainable production practices. The study's goal is to improve the implementation of traditional Lean Production (LP) by creating an integrated Single valued neutrosophic Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA) method. The PAPRIKA is extended under a neutrosophic set. PAPRIKA is used to compute the weights of criteria by comparing the criteria. Also, the PAPRIKA method is used to rank and select the best strategy. The application is performed on the steps of the PAPRIKA method.

groups

Samah I. Abdel Aal mail -

Ahmed Abdel-Monem mail

link https://doi.org/10.54216/JSDGT.020204

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

Details open_in_new

International Journal of Artificial Intelligence and Education Technology | 2023

Bibliographic analysis: Teaching with social media tools

This bibliographic analysis explores the use of social media tools in education and their impact on teaching and learning experiences. The analysis reviews research literature to provide evidence of the positive effects of social media tools on various aspects of education, including student engagement, critical thinking skills, academic achievement, and learning outcomes. YouTube videos are highlighted as particularly effective in promoting critical thinking skills and improving students' comprehension and retention of information. Additionally, social media platforms like Facebook are discussed as effective learning management systems, facilitating communication and collaboration among students and teachers. The flipped classroom model, which incorporates social media tools, is also examined for its positive effects on student learning. However, the successful integration of social media tools in education depends on factors such as instructional design, teacher training, and copyright considerations. Further research is needed to explore the long-term effects and potential challenges associated with the use of social media tools in education. Overall, this analysis emphasizes the opportunities that social media tools offer educators to enhance teaching and learning experiences, promote student engagement and collaboration, and improve learning outcomes. It underscores the importance for educators to stay informed about the latest research and best practices in utilizing social media tools effectively in educational settings as technology continues to evolve.

groups

Hojiyeva Iroda Avezovna mail

link https://doi.org/10.54216/IJAIET.020101

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

Financial Technology and Innovation | 2023

The Regulatory Landscape of Green Finance: An Improved Approach for Market Development

Green finance has emerged as a pivotal solution to address environmental challenges and foster sustainable development. This paper explores the regulatory landscape of green finance, focusing on the opportunities it presents and the barriers that hinder its market development. The paper begins with an introduction to the significance of green finance and its role in achieving environmental sustainability. It then provides an overview of green finance, including its definition, scope, and key stakeholders. An improved regulatory approach for green finance is thoroughly presented, covering global initiatives, national and regional policies, and the roles of key regulatory bodies. Next, we delve into the opportunities within the regulatory landscape, such as incentives, policy frameworks, and supportive measures for green financial products. However, challenges arise, including regulatory gaps, lack of standardized definitions, and legal risks for green investments. Case studies illustrate successful regulatory models, while highlighting the challenges faced by specific countries or regions. Finally, we offer a set of recommendations to strengthen regulatory frameworks, enhance transparency and disclosure requirements, and promote international cooperation and knowledge sharing, thus advancing the transformative potential of green finance.

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Ayman H. Abdel-aziem mail -

Tamer H. M. Soliman mail

link https://doi.org/10.54216/FinTech-I.020103

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

Financial Technology and Innovation | 2023

An Optimization Model for Assessment Resilience Engineering in Social Technical Organizations as a safety Management Paradigm

 An innovative safety administration paradigm, resilience engineering (RSE), is becoming more popular in today's sociotechnical organizations. It is thought that the properties of complicated social and technical structures better align with RSE. Especially when it comes to measuring and modeling, RSE is much more difficult due to its various criteria character and the inclusion of both qualitative and quantitative latent components. Using the extant neutrosophic TODIM (Portuguese of interactive and multi-criteria decision-making) approach, this study seeks to create a neutrosophic mixed multi-criteria decision-making (MCDM) framework for assessing and evaluating resilience. Several indicators of resilience were defined as part of the first assessment methodology. After that, the neutrosophic TODIM technique was used to assign relative importance to the various resilience indicators and to rate the effectiveness of the various operational units. As an illustration of the model's efficacy, we conducted a risk assessment of a gas refinery, a prototypical sociotechnical structure.

groups

Mahmoud M. Ibrahim mail -

Mahmoud M. Ismail mail -

Shereen Zaki mail -

Heba R. Abdelhady mail

link https://doi.org/10.54216/FinTech-I.020104

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

Evaluation the Key Success Factors in Emergency Management using Neutrosophic DEMATEL Method

Critical to protecting people, property, and communities from the devastating effects of catastrophes and other crises is the field of emergency management. Effective emergency management relies on several aspects that must be identified and prioritized if positive results are to be achieved. Preparedness, planning, leadership, governance, information management, resource management, community participation, resilience, and a culture of continuous improvement are all discussed in this article as crucial elements of emergency management. Professionals in emergency management may strengthen their talents, boost response coordination, and instill resilience by learning about and using these elements. This paper used multi-criteria decision-making (MCDM) to deal with the various factors of emergency management. The decision-making trial and evaluation laboratory (DEMATEL) method is used to compute the weights of criteria and relationships between factors in emergency management. The DEMATEL method is integrated with the neutrosophic set to deal with uncertain data. There are six main factors and nineteen sub-factors are used in this paper. We obtained the Preparedness and Planning is the best factor.

groups

Ahmed E. Fakhry mail -

Ahmed M. Ali mail -

Ahmed Abdelhafeez mail -

Alshaimaa A. Tantawy mail

link https://doi.org/10.54216/IJNS.210420

Volume & Issue

Vol. Volume 21 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science |

Pre-separation Axioms in Neutrosophic Topological Spaces

In this article, we first establish a few results based on neutrosophic interior, neutrosophic closure, neutrosophic pre-oIn this article, we first establish a few results based on neutrosophic interior, neutrosophic closure, neutrosophic pre-open sets, and neutrosophic pre-closed sets. Afterward, we define neutrosophic pre-T0 space, neutrosophic pre-T1 space, neutrosophic pre-T2 space, and study their various properties along with the interconnections between the spaces. We also establish some results using neutrosophic pre-irresolute function, neutrosophic pre∗-continuous function, open sets, and neutrosophic pre-closed sets. Afterward, we define neutrosophic pre-T0 space, neutrosophic pre-T1 space, neutrosophic pre-T2 space, and study their various properties along with the interconnections between the spaces. We also establish some results using neutrosophic pre-irresolute function, neutrosophic pre∗-continuous function.

groups

GAUTAMRaygc.roy@cit.ac.in mail -

SudeepDeysudeep.dey.1976@gmail.com mail

link

Volume & Issue

Details open_in_new

International Journal of Neutrosophic Science |