Neutrosophic Hybrid Machine Learning Algorithm for Diabetes Disease Prediction

A. Bermúdez del; Edison Sotalin; Edwin Miranda; Yasser H.

doi:https://doi.org/10.54216/IJNS.210207

International Journal of Neutrosophic Science | 2023

Weakly Generalized M-Closed and Strongly M-Generalized Closed Sets in Fuzzy Neutrosophic Topological Spaces

The current study presents a new concept of sets and called fuzzy neutrosophic weakly generalized M-closed and fuzzy neutrosophic strongly M-generalized closed sets in fuzzy neutrosophic topological space. Actually, this  study is an extended form of a research conducted by Z.A. Khalaf, F. M. Mohammed [1]. Moreover, it presents certain related relations of these notions as well as some theorems, propositions with some necessary examples.

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Zahraa A. Khalaf mail -

Fatimah M. Mohammed mail

link https://doi.org/10.54216/IJNS.210201

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2023

On various Inverse of Neutrosophic Fuzzy Matrices

In this article, we discuss various Inverses Minimum norm g-inverse, Least square g-inverse, Moore Penrose inverse, Group Inverse, Generalized Symmetric Neutrosophic Fuzzy Matrices. Also we describes secondary k-column symmetric Neutrosophic fuzzy matrices are produced. It is discussed how s-k-column symmetric, s-column symmetric, k-column symmetric, and column symmetric Neutrosophic fuzzy matrices   relate to one another. For an Neutrosophic fuzzy matrices   to be an s-k-column symmetric Neutrosophic fuzzy matrices, necessary and sufficient requirements are identified.  

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M. Anandhkumar mail -

B. Kanimozhi mail -

S. M.Chithra mail -

V. Kamalakannan mail -

broumi said mail

link https://doi.org/10.54216/IJNS.210202

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2023

More on Open Maps and Closed Maps in Fuzzy Hypersoft Topological Spaces and Application in Covid-19 Diagnosis using Cotangent Similarity Measure

maps, fuzzy hypersoft pre open maps, fuzzy hypersoft δ open maps, fuzzy hypersoft δ pre open maps, fuzzy hypersoft δ semi open maps, fuzzy hypersoft e open maps, fuzzy hypersoft δα open maps, fuzzy hypersoft e&lowast; open maps and their respective closed maps in fuzzy hypersoft topological spaces. Also, we have discussed the properties of various forms of fuzzy hypersoft open and closed maps. Moreover, a new cotangent similarity measure for fuzzy hypersoft sets is introduced and an application in Covid-19 diagnosis is explained with an example.

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S. Aranganayagi mail -

M. Saraswathi mail -

K. Chitirakala mail

link https://doi.org/10.54216/IJNS.210203

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2023

Impact of Education and Employment on Poverty

Poverty is a major threat to the existence of humanity in modern times especially in the developing countries. Education is considered to be one of the basic factors of achieving sustainable economic development through investment in human capital. Education improves quality of lives and raises people’s productivity and eradicates poverty rate by being employed with job opportunities. This paper is aimed to examine the impact of education and employment opportunities on poverty reduction in both rural and urban areas in Uzbekistan using the Probit model. The study used the micro dataset of the L2CU collected by World Bank in 2018.

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Zebo KULDASHEVA mail -

Bobojanov S. Qadamboevich mail -

Muhammad Eid Balbaa mail -

Nilufar ISMAILOVA mail

link https://doi.org/10.54216/JSDGT.020104

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

Financial Technology and Innovation | 2023

The Economic Impacts of Food Waste Carbon Footprint on climate change:The Case of Egypt

Food waste become one of the most important global issues because of its economic, environmental, and social ramifications. Besides, food waste has a close relationship with climate change as food produced from agriculture and ends up as waste whereas energy is consumed during its life cycle stages. The goal of this article is the estimation of Greenhouse Gases GHG emissions associated with food waste generation in EGYPT. The scope of the research includes only the emissions associated with the management of food waste. To evaluate the food waste generation from Egyptians, the study depend on the FAO food balance sheet of Egypt, and relevant GHG emissions data found in literature sources and international databases, an estimation of the GHG emissions associated with food waste in EGYPT has been conducted. The results indicate that approximately 73 kg of food waste per person are generated annually. Moreover, the calculations of the present research reveal that emissions of 18676.03 Gg of CO2 eq. are associated with food waste in EGYPT.

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Muhammad E. Balbaa mail -

Zebo KULDASHEVA mail -

Nilufar Ismoilova mail

link https://doi.org/10.54216/FinTech-I.020101

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

On Neutrosophic filter and fantastic filter of BL-algebras

The main aim of this paper is to present a few characteristics of the neutrosophic filter of BL-algebras. Also, we introduce the notion of the neutrosophic fantastic filter of BL-algebras with an illustration and discuss a few of its properties. Moreover, we prove every neutrosophic fantastic filter is a neutrosophic filter in BL-algebras. Finally, we acquire an extension property and equivalent condition of the neurosophic fantastic filter of BL-algebras.

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A. Ibrahim mail -

S. Karunya Helen Gunaseeli mail

link https://doi.org/10.54216/IJNS.210205

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2023

Online Weather Station

The creation of an online weather station utilising the ESP32 microcontroller and BME280 is described in this abstract. The project's goal is to give people access to current weather information and forecasts via a web interface. The system makes use of sensors to assess temperature, humidity, pressure, and other environmental factors. These measurements are then transferred through Wi-Fi to a cloud-based server. Weather forecasts are created using the analysed and processed data and then shown on an easy-to-use dashboard that can be accessed via a web browser. Users can also sign up to receive email or SMS alerts and notifications if the weather changes. The project provides a scalable and inexpensive method to detect and monitor weather conditions in numerous areas, making it appropriate for application in the aviation, agricultural, and other sectors.

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Sanjay Rajan J. mail -

Sanjay Kumar M. mail -

Madesh G. mail -

Sanjai S. mail -

C. Manikandan mail

link https://doi.org/10.54216/JCHCI.050203

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Journal of Cognitive Human-Computer Interaction | 2023

Android-based System for Intelligent Traffic Signal Control and Emergency Call Functionality

The aim of the system was to utilize technology to save lives in India by addressing the challenge of transporting patients during emergencies on congested roads. To tackle this problem, we developed two mobile apps - one for users and one for ambulance drivers. The user app requires signup and retrieves their address and location. Similarly, the ambulance driver app also retrieves their location. When the user presses the emergency button, a notification is sent to the ambulance driver via the app. The app then displays the shortest path, and traffic signals along the route are adjusted to facilitate a faster route to the hospital. Overall, our apps were created to aid accident victims in reaching the hospital promptly

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R. Manikandan mail -

S. Keerthana mail -

S. Sangavi Priya mail -

R. Madhumitha mail -

A. G. Sruti Aditya mail -

D. Priya mail

link https://doi.org/10.54216/JCHCI.050204

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2023

Heart Disease Prediction using Neutrosophic C-Means Clustering Algorithm

Heart disease, often known as cardiovascular illness, encompasses a broad range of heart-related disorders and has emerged as the leading cause of mortality during the last few decades everywhere in the globe. Numerous hazards are linked to cardiovascular disease, and timely, effective, and practical methods for making an early diagnosis are required for effective and efficient treatment. In this study, we describe a novel clustering technique for data that is unreliable clustering called neutrosophic c-means (NCM), which draws inspiration from both fuzzy c-means and the neutrosophic set architecture. The NCM is used to predict heart disease. There are four different databases included in the collection, all of which were created in 1988: Cleveland, Hungary, Switzerland, and Long Beach V. There are 76 qualities total, such as the anticipated characteristic, however only 14 have been used in any of the published trials.

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Piedad Acurio Padilla mail -

Evelyn Betancourt Rubio mail -

Walter Vayas Valdiviezo mail -

Mohammed K. Hassan mail

link https://doi.org/10.54216/IJNS.210206

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2023

Neutrosophic Hybrid Machine Learning Algorithm for Diabetes Disease Prediction

Because of its far-reaching effects, diabetes remains a major health problem on a worldwide scale. It's a metabolic illness that causes hyperglycemia and a host of other health issues, including cardiovascular disease, renal failure, and neuropathy. Many scientists have spent time and energy over the years trying to develop a reliable diabetes prediction model. Researchers are forced to adopt big data analytics and machine learning (ML)-based methodologies since there are still major open research concerns in this area owing to a lack of acceptable data sets and prediction techniques. This study seeks solutions by way of an examination of healthcare predictive analytics. The major purpose of this research was to explore the potential applications of big data analytics and machine learning-based approaches in the field of diabetes. In this study, we used the neutrosophic AHP as a feature selection method. The neutrosophic AHP is used to compute the importance of features, then apply the machine learning methods to these features. This study applied logistic regression, support vector machine (SVM), and random forest (RF) to predict the disease of diabetes. 

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A. Bermúdez del Sol mail -

Edison Sotalin Nivela mail -

Edwin Miranda Solis mail -

Yasser H. Elawady mail

link https://doi.org/10.54216/IJNS.210207

Volume & Issue

Vol. Volume 21 / Iss. Issue 2

Details open_in_new