The Natural Bases of Neutrosophy

Philippe

doi:https://doi.org/10.54216/IJNS.090204

Fusion: Practice and Applications | 2020

Facial Expression Recognition with Gender Identification

Human facial emotion recognition has attracted interest in the field of Artificial Intelligence. The emotions on a human face depict what's going on inside the mind. Facial expression recognition is the part of Facial recognition which is gaining more importance, and the need for it has increased tremendously. Though there are methods to identify expressions using machine learning and Artificial Intelligence techniques, this work attempts to use convolution neural networks to recognize expressions and classify the expressions into 6 emotional categories. Various datasets are investigated and explored for training expression recognition models are explained in this paper, and the models which are used in this paper are VGG 19 and RESNET 18. We included facial emotional recognition with gender identification also. In this project, we have used the fer2013 and ck+ datasets and ultimately achieved 73% and 94% around accuracies, respectively.

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Shubham Gupta mail -

Aarushi Dhawan mail -

Arpit Gupta mail -

A. Kumar Dubey mail

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

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

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Fusion: Practice and Applications | 2020

Egocentric Performance Capture: A Review

Performance capture of human beings has been used to animate 3D characters for movies and games for several decades now. Traditional performance capture methods require a costly dedicated setup which usually consists of more than one sensor placed at a distance from the subject, hence requiring a large amount of budget and space to accommodate. This lowers its feasibility and portability by a huge amount. Egocentric (first-person/wearable) cameras, however, are attached to the body and hence are mobile. With the rise of acceptance of wearable technology by the general public, wearable cameras have gotten cheaper too. We can make use of their excessive portability in the performance capture domain. However, working with egocentric images is a mammoth task as the views are severely distorted due to the first-person perspective, and the body parts farther from the camera are highly prone to be occluded. In this paper, we review the existing state-of-the-art methods of performance capture using egocentric-based views.

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Shivam Grover mail -

Kshitij Sidana mail -

Vanita Jain mail

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

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2020

On Refined Neutrosophic Vector Spaces II

The concept of refined neutrosophic vector spaces was introduced by Ibrahim et al. in [20] and the present paper is the continuation of the work. In the present paper, further studies on neutrosophic vector spaces are presented. Specifically, linear dependence, independence, bases and dimensions of refined neutrosophic vector spaces are studied with several results and examples presented. Also, refined neutrosophic homomorphisms of refined neutrosophic vector spaces are studied and existence of linear maps between weak refined Neutrosophic vector spaces and weak neutrosophic vector spaces are established.

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M.A. Ibrahim mail -

A.A.A. Agboola mail -

B.S. Badmus mail -

S.A. Akinleye mail

link https://doi.org/10.54216/IJNS.090102

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2020

Aggregation Operators of Bipolar Neutrosophic Soft Sets and It’s Applications In Auto Car Selection

In this paper, it is intended to study the concept of bipolar eutrosophic soft set ( . It is aimed to defined bipolar eutrosophic soft set. Definitions and perations have been presented the BNSS. Then we present an aggregation BNSS operator and decision aking algorithm depend on the BNSS. Number-based examples discussed to show (ability to be done) and efficiency of the advanced method.

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Muhammad Naveed Jafar mail -

Mushal Zia mail -

Ayisha Saeed mail -

Maryam Yaqoob mail -

Samreen Habib mail

link https://doi.org/10.54216/IJNS.090103

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2020

Neutrosophic Environment for Traffic Control Management

Neutrosophic along with its environment development over the past decades. Neutrosophic environment is apply to various applications in logic,statstics,albebra, neural networks and several other fields. Neutrosophic sets has been presented to handle the indeterminacy in real-world decision-making problem. Real world problems have some kind of uncertainty in nature and one of the influential problem in environment. Neutrosophic environment results are apply  to  a new dimension in traffic control. Neutrosophic is the vital role on traffic flow control . It is deal with  membership , non membership  and also indeterminacy of the data as well.  The advantage of the neutrosophic environment is to  find the optimized result of the system choosing the best alternative.In this paper, traffic flow control is analyzed under neutrosophic environment using  MATLAB. 

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D. Nagarajan mail -

Said Broumi mail -

J. Kavikumar mail

link https://doi.org/10.54216/IJNS.090104

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2020

A Suggested Diagnostic System of Corona Virus based on the Neutrosophic Systems and Deep Learning

The idea for this paper is based on the use of a computer-connected microscope associated with Deep Learning, using Convolutional Neural Network (CNN). CNN is a mathematical type of Deep Learning used to recognize and diagnose images.  After that, we photograph blood samples, as well as samples, were taken from the mouth and nose, as well as it is possible to photograph the throat from the inside of a large number of injured and uninfected people as well as suspected of infection and provide a large number of references for this program for each type of those different samples. It is possible to perform this process in few minutes, save time and money, make analyzes for the largest possible number of people, and provide results in an accurate and documented manner, which is through the Neutrosophic time series. The basis and analysis of dealing with all data, whether specific or not, that can be taken by time series values, then we present the linear model for the neutrosophic time series, and we test the significance of its coefficient based on patients distribution. Finally, from the above, we can provide a patient neutrosophic time series according to the linear model through which we can accurately predict the program will give degrees of verification and degrees of the uncertainty of the data.

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A.A. Salama mail -

Mohamed Fazaa mail -

Mohamed Yahya mail -

M. Kazim mail

link https://doi.org/10.54216/IJNS.090105

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2020

Decision Support Modeling For Agriculture Land Selection Based On Sine Trigonometric Single Valued Neutrosophic Information

A single valued neutrosophic set (SVNS) is a useful tool to portray uncertainty in multi attribute decisionmaking. In this article, we develop hybrid averaging and hybrid geometric aggregation operator using sine trigonometric function to handle uncertainty in single valued Neutrosophic information, which are, sine trigonometricsingle valued neutrosophic hybrid weighted averaging (ST-SVNHWA) operator and , sine trigonometric-single valued neutrosophic hybrid weighted geometric (ST-SVNHWG) operator. We investigate properties, namely, idempotancy, monotonicity and boundedness for the proposed operators. Moreover, we give an algorithm to solve multi criteria decision-making issues which involve SVN information with ST-SVNHWA and STSVNHWG operators. Finally, an illustrative example of agricultural land selection is provided to verify the effectiveness. Sensitivity and comparative analyses are also implemented to assess the stability and validity of our method.

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Shahzaib Ashraf mail -

Saleem Abdullah mail

link https://doi.org/10.54216/IJNS.090201

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2020

A Study of AH-Substructures in n-Refined Neutrosophic Vector Spaces

The aim of this paper is to define and study for the first time AH-substructures in n-refined neutrosophic vector spaces such as weak/strong AH-subspaces, and weak/strong AH-linear transformations between two n-refined neutrosophic vector spaces. Also, this paper introduces some elementary properties of these concepts. 

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Mohammad Abobala mail

link https://doi.org/10.54216/IJNS.090202

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2020

On Refined Neutrosophic Hypergroup

This paper presents the refinement of neutrosophic hypergroup and studies some of its properties. Several interesting results and examples are presented. The existence of a good homomorphism between a refined neutrosophic hypergroup H(I1; I2) and a neutrosophic hypergroup H(I) is established. Keywords: Neutrosophy, neutrosophic hypegroup, neutrosophic subhypergroup, refined neutrosophic hypergroup, refined neutrosophic subhypergroup.

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M.A. Ibrahim mail -

A.A.A. Agboola mail -

B.S. Badmus mail -

S.A. Akinleye mail

link https://doi.org/10.54216/IJNS.090203

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2020

The Natural Bases of Neutrosophy

Neutrosophy began as a branch of philosophy that considered neutrality in addition to the positive and negative. It consists of the addition consideration of a neutral state to complement the binary approach of true or false. Its creator quickly extended it to the field of mathematics and it was gradually applied to all fields of science. Here, we present a reverse approach that highlights the importance of neutrality in all fields of study and application, citing some revealing examples. Furthermore, we explain that this importance of neutrality is intrinsic to all sciences because it is based on natural foundations. Indeed, neutrality is a forming part first of all of the human conception of things, of our way of thinking, of cognition in general but also of living things, matter and even particles. In addition to these most real-world physical concrete aspects, neutrality is inherent to mathematics, to logic first of all, but also to probabilities and statistics where neutrality which simply results from a large number of objects, the universe. Thus neutrosophy is well adapted to the majority of applied problems because its modeling is inspired by reality and that it allows, in particular, to deal with the component of uncertainty and indeterminacy that the real world comprises intrinsically.

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Philippe Schweizer mail

link https://doi.org/10.54216/IJNS.090204

Volume & Issue

Vol. Volume 9 / Iss. Issue 2

Details open_in_new