Improving Data Aggregation Performance in Wireless Sensor Networks using Software-Defined Networks

Marwa K. Hasan

doi:https://doi.org/10.54216/JISIoT.120201

Journal of Artificial Intelligence and Metaheuristics | 2024

Advancements and Future Directions in Machine Learning for Medical Diagnostics: A Comprehensive Review

Machine learning (ML)-based techniques are increasingly used to address problems in fields such as finance, marketing, production, the environment, health care, and security. ML can identify patterns, interpret data, reveal hidden relationships, and analyze large datasets, potentially improving the specificity, sensitivity, predictability, and stability of diagnostic systems. This review examines the application of machine learning in medicine and its use in diagnostics, including medical chemistry, wearable sensors, cancer, brain health, and medical imaging. It discusses application-specific model adaptations and offers findings and references to guide academics, practitioners, decision-makers, and future research.

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Basant Sameh mail -

Nima Khodadadi mail -

Ehsan khodadadi mail -

Marwa M. Eid mail -

S. K. Towfek mail

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

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Journal of Sustainable Development and Green Technology | 2024

Development of Aviation Hubs as a Tool for Increasing Uzbekistan’s International Competitiveness

The article reviews the issues of the development of aviation hubs in Uzbekistan, their importance in increasing the international competitiveness of the national economy, and studies the features of the Dubai model of aviation hub development as a case model. Cargo and passenger traffic of domestic airports have been analyzed, existing problems in the aviation industry of the country have been studied, prospects have been considered, and proposals for the development of aviation hubs in the country and their use as a competitive advantage were presented.

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Nargiza Achilova mail

link https://doi.org/10.54216/JSDGT.040205

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

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Journal of Sustainable Development and Green Technology | 2024

Evaluation of Wage-Inflation Association: Evidence form Uzbekistan

Wage inflation is often a non-monetary phenomenon that has two basic explanations. First, inflation results from the government’s stimulation of demand through an increase in official salaries. Second, when the labor market’s demand for workers rises, wages rise as well, raising the cost of manufacturing and resulting in cost-push inflation. In developing economies, this process typically manifests itself in two ways at once. Thus, the objective of this research is to evaluate experimentally how pay increases affect inflation in Uzbekistan. We use a basic OLS model to examine the association between these variables. The findings indicate that wages and inflation in Uzbekistan have a somewhat favorable association. We have concluded that it is reasonable to indexation of official pay to the price level and implement an efficient supply policy in order to lessen the detrimental impact of wages on inflation.

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Bakhriddinov Vikorjon mail

link https://doi.org/10.54216/JSDGT.040206

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

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American Journal of Business and Operations Research | 2027

Evaluating Credit Score Explanations in Lending Decisions and Risk Management

Credit score explanations can influence lending reviews, exception handling, and customer communication, yet an explanation may change under resampling, recommend an infeasible action, or fail to illuminate the approval decision. This structured review examines the evidence needed to use explanations in lending and risk management. Thirty-eight journal studies published from 2023 through January 2026 were coded by method family, information setting, validation design, and decision connection. The evidence spans interpretable scores and rules, post hoc attributions, counterfactuals, stability tests, fairness audits, and decision-oriented comparators. It does not support a single ranking of methods: studies examine different properties on different applicant populations, and few identify the incremental effect of an explanation on an underwriter’s action or an applicant’s outcome. Four comparisons organize the findings. Predictive discrimination does not establish explanation fidelity; plausible local reasons may not survive changes in training data; a score-changing counterfactual may be unattainable; and similar attributions do not imply equal lending outcomes. We develop a validation framework linking temporal performance, explanation perturbations, feasible action, group analysis, and policy value. Additional analyses map the evidence to decision stages, distinguish estimable quantities from missing outcomes, and specify reporting standards for management use. The review contributes an operational basis for deciding when an explanation can be treated as evidence in underwriting rather than as a model display.

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Serkan Yilmaz Kandir mail -

Murat Ismet Haseki mail

link https://doi.org/10.54216/AJBOR.150106

Volume & Issue

Vol. Volume 15 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2024

Fusion Data Analysis of the Monitoring Procedure among Ecuadorian Law Professionals using Indeterminate Likert Scales

The study provides a fusion data analysis to investigate the attitudes and perceptions of legal professionals in Ecuador regarding the effectiveness and fairness of the monitoring procedure, using a questionnaire based on indeterminate Likert scales. By employing Triple Refined Indeterminate Neutrosophic Sets and the Minimum Spanning Tree, responses were analyzed to reveal trends and groupings in opinions. The identification of response clusters suggested marked differences and homogeneous subgroups in perspectives, highlighting specific areas within legislation and judicial procedures that require attention. The threshold used for the Minimum Spanning Tree provided a quantitative view of cohesion and discrepancy, which has significant implications for legislative reform and judicial practice. This innovative approach offers a valuable model for future research, with the potential to influence policy-making and the promotion of legislative reforms based on empirical data.

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Caludıo A. Teran Vaca mail -

Jeannette A. Urrutıa Guevara mail -

José F. Molına Mora mail -

Dekhkonov Burkhon mail

link https://doi.org/10.54216/FPA.150209

Volume & Issue

Vol. Volume 15 / Iss. Issue 2

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Fusion: Practice and Applications | 2024

The Fusion of Inflation and Economic Growth: A Time Series Analysis

This study addresses the two types of fusion between inflation and economic growth in Uzbekistan. The first is the quantitative relationship between inflation and economic growth, and the second is the marginal relationship between them. The first relationship is based on a simple regression model, while the second analysis is carried out by a threshold regression model. Also, the threshold regression model itself has been analyzed using two methods (TSLS and OLS). The data for the research was covered from 2000 to 2022. Also, the variables used in the analysis were checked for stationarity by the Dickey-Fuller and Phillips-Perron tests. The predictors were included in the study after confirmation of hypothesis tests that were positive. According to the results of the study, the correlation between inflation and economic growth in Uzbekistan is negative. Particularly when inflation is lower than a certain level, economic growth is influenced positively, while it has a negative effect on economic growth when it exceeds a certain level. In general, the study determined the optimal level of inflation for Uzbekistan in terms of its positive impact on economic growth.

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Hakimov Hakimjon mail -

Bakhriddinov Vikorjon mail -

Kodirov Ural mail -

Nilufar Nabieva mail

link https://doi.org/10.54216/FPA.150210

Volume & Issue

Vol. Volume 15 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

Evaluation of Legal Security in Property Division Using OWA and Neutrosophic TOPSIS Methods

Legal security in property division is a crucial aspect within the field of civil and inheritance law. This process involves the equitable distribution of assets from an inheritance or marital community among heirs or co-owners, with the aim of guaranteeing their rights in a fair and transparent manner, in accordance with the law. This study focuses on examining various options to deepen understanding of the mechanisms that ensure legal security in this property division, with the goal of identifying best practices. To analyze each alternative in terms of scope and objective, the multicriteria decision-making methods OWA and TOPSIS were employed, using neutrosophic numbers as a modeling tool. The use of these methods highlights the challenges of legal inexperience and conflicts of interest, emphasizing the need for a precise and cautious approach. This analysis promotes the search for equitable solutions in property division, highlighting the importance of fair and transparent legal procedures.

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Batista H. Noel mail -

Miranda C. Luis Rodrigo mail -

Santillan A. Julián Rodolfo mail -

Cuauhtemoc Samaniego mail

link https://doi.org/10.54216/IJNS.240123

Volume & Issue

Vol. Volume 24 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

Neutrosophic Sets in Investigating the Right to Genetic Information: A Study using Fuzzy Cognitive Maps and D-OWA

This article provides a comprehensive view of the evolution and ethical implications of genetics, from its historical origins to modern advancements like the Human Genome Project. It emphasizes the importance of genetic information in disease prediction and understanding human diversity while highlighting the need to address associated ethical and privacy issues. It introduces Fuzzy Cognitive Maps (FCM) and the Dependent OWA (D-OWA) aggregation operator as innovative tools for analyzing the complex landscape of the Right to Genetic Information (RGI) in an international context, identifying key factors such as legal frameworks, technological advancements, access to health, culture, ethics, and commercial interests. The research reveals that while legal framework and technology are predominant, other factors also play significant roles in managing RGI. The application of D-OWA provides additional insights, confirming that conventional centrality assessments adequately reflect the priorities and influence of factors in RGI. It concludes by underlining the need for specific strategies to address these challenges, such as strengthening the legal framework, promoting ethics in genetics, improving public education, and respecting cultural diversity, to protect individual rights while leveraging the benefits of genetics for society.

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Alex Fabián S. Moreno mail -

Jessica Johanna S. Moreno mail -

Paul Alejandro C. Maldonado mail -

Saziye Yaman mail

link https://doi.org/10.54216/IJNS.240124

Volume & Issue

Vol. Volume 24 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Robots selection for sine trigonometric (l1, l2, l3) neutrosophic sets using different aggregation operators

This article discusses a new approach to multiple attribute decision-making (MADM) based on sine trigonometric (ST) (l1, l2, l3) neutrosophic  sets (NS). We discuss the concept of ST (l1, l2, l3) neutrosophic weighted averaging (NWA), ST (l1, l2, l3) neutrosophic weighted geometric (NWG), ST (l1, l2, l3) generalized neutrosophic weighted averaging (GNWA) and ST (l1, l2, l3) generalized neutrosophic weighted geometric (GNWG). We presented during our discussion showed an algorithm that used these operators. Extensive Hamming distances are illustrated numerically. Also included in this communication are discussions of idempotency, boundness, commutativity, and monotonicity for ST (l1, l2, l3) neutrosophic sets. By using them, you can find the best option faster, easier, and more conveniently. As a result, ST (l1, l2, l3) and more precise conclusions are more closely related. A comparison is made between some current models and those proposed to demonstrate the dependability and utility of the current models. Furthermore, fascinating findings were revealed in the study.

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Murugan Palanikumar mail -

Lejo J. Manavalan mail -

T. T. Raman mail -

Aiyared Iampan mail

link https://doi.org/10.54216/IJNS.240125

Volume & Issue

Vol. Volume 24 / Iss. Issue 1

Details open_in_new

Journal of Intelligent Systems and Internet of Things | 2024

Improving Data Aggregation Performance in Wireless Sensor Networks using Software-Defined Networks

In this paper, we present a novel methodology to improve the performance of collection operations in wireless sensor networks by the application of software-defined networking technology on (SD WISE) platform. The conditions for selecting the grouped nodes in the controller were determined by adjusting the weights of the (Dijekstra) algorithm. The grouped nodes that include the node were determined based on the paths chosen by the algorithm. The SDN-WISE platform supports reading the payload of the packet and not just the header, in addition to the possibility of dealing with a packet depending on another packet, and the flexibility to modify the routing tables to achieve the appropriate rules for the proposed aggregation algorithm. The results show a significant reduction in the energy consumed after applying the novel suggested algorithm.

groups

Marwa K. Hasan mail

link https://doi.org/10.54216/JISIoT.120201

Volume & Issue

Vol. Volume 12 / Iss. Issue 2

Details open_in_new