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Dominating Energy in Neutrosophic graphs

Dominating energy of graphs plays a vital role in the field of application in energy. Results by applying neutrosophic graph theory is more efficient than other existing methods. So, dominating energy of neutrosophic graphs will also give more accurate results than other exixting methods in the field of energy. This article introduces dominating energy of neutrosophic graphs. Dominating energy of a neutrosophic graph, dominating neutrosophic adjacency matrix, eigen values for the dominating energy of a neutrosophic graphs and complement of neutrosophic graphs are defined with examples. Also, dominating energy in union and join operations of neutrosophic graphs are developed and some theorems in dominating energy of a neutrosophic graphs are derived here.

groups
M. Mullai mail -
Said Broumi mail
link https://doi.org/10.54216/IJNS.050104

Volume & Issue

Vol. Volume 5 / Iss. Issue 1

Details open_in_new

On Refined Neutrosophic R-module

Modules are one of the fundamental and rich algebraic structure concerning some binary operations in the study of algebra. In this paper, some basic structures of refined neutrosophic R-modules and refined neutrosophic submodules in algebra are generalized. Some properties of refined neutrosophic R-modules and refined neutrosophic submodules are presented. More precisely, classical modules and refined neutrosophic rings are utilized. Consequently, refinedneutrosophic R- modules that are completely different from the classical modular in the structural properties are introduced. Also, neutrosophic R-module homomorphism is explained and some definitions and theorems are presented.  

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Necati Olgun mail -
Ahmed Hatip mail
link https://doi.org/10.54216/IJNS.070201

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

Details open_in_new

A Hybrid Grey Wolf and Dipper-Throated Optimizer for Engineering Design Optimization

Optimization plays a fundamental role in engineering design, enabling cost reduction, performance enhancement, and constraint satisfaction. Metaheuristic algorithms such as the Grey Wolf Optimizer (GWO) and Dipper-Throated Optimizer (DTO) have been widely used for solving complex optimization problems. However, standalone algorithms often suffer from premature convergence and limited exploration capabilities, necessitating the development of hybrid approaches. This chapter introduces a novel hybrid algorithm, GWO+DTO, which combines the exploratory strength of GWO with the exploitative efficiency of DTO to improve optimization performance. The effectiveness of GWO+DTO is evaluated on two benchmark engineering problems: the Pressure Vessel Design Problem and the Tension/Compression Spring Design Problem, comparing its results with standalone GWO and DTO. Experimental findings demonstrate that the hybrid approach achieves superior performance, obtaining the best cost of 5950.28 in the pressure vessel problem and 0.01266 in the spring design problem, outperforming the individual algorithms in accuracy and efficiency. Additionally, GWO+DTO requires fewer function evaluations, highlighting its computational efficiency. The proposed hybrid method presents a promising alternative for tackling real-world engineering optimization challenges, with potential applications in multi-objective and large-scale optimization problems.

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Mohamed Saber mail -
Faustino D. Reyes mail
link https://doi.org/10.54216/JAIM.120101

Volume & Issue

Vol. Volume 12 / Iss. Issue 1

Details open_in_new

Classical Homomorphisms Between Refined Neutrosophic Rings and Neutrosophic Rings

The aim of this paper is to study homomorphisms between refined neutrosophic rings and neutrosophic rings. We prove that every neutrosophic ring R(I) is a homomorphic image of the refined neutrosophic ring R(I_1,I_2). Furthermore, we prove the following interesting result:

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Mohammad Abobala mail
link https://doi.org/10.54216/IJNS.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

Details open_in_new

Control of Enviornmental Parametrs in A Greenhouse

This paper concentrates on the sustainable use of energy, water, and raw materials to increase production to meet the demand of a high population with available areas. In this work, a kind of automatically controlled greenhouse system of single-chip microcomputer based on sensors is described. This paper presents the system's hardware structure, working principle and process, and a large number of experiments on the effect of the control system. Five control parameters are chosen to increase the yield of the greenhouse, which can be used in indoor breeding and planting. Control actions are performed on the basis of the fusion of different parameters. For the actuation system, the greenhouse is controlled by relays. The proposed control framework permits sparing costs related to wear minimization and delaying the actuator's life, yet continuing promising execution comes out.  Results and conclusions are derived by methods of simulation results.

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Surinder Kaur mail -
Diksha Kumari mail -
Vandana Kumari mail
link https://doi.org/10.54216/FPA.010102

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Operations on Single-Valued Trapezoidal Neutrosophic Numbers using (α,β,γ)-Cuts “Maple Package”

In this paper we present a Maple package called Neutrosophic, which allows users to do operations on trapezoidal and triangular neutrosophic numbers including summation, subtraction, division and multiplication based on -cuts and plots the results, also the package allows users to rank numbers depending on ambiguity index and value index. This package is very useful in neutrosophic decision making problems, neutrosophic probabilities, neutrosophic statistics and in many other fields of neutrosophic researches.

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Mohamed Bisher Zeina mail -
Omar Zeitouny mail -
Fatina Masri mail -
Fatima Kadoura mail -
Said Broumi mail
link https://doi.org/10.54216/IJNS.150205

Volume & Issue

Vol. Volume 15 / Iss. Issue 2

Details open_in_new

Palmprint Recognition Using Fusion of Local Binary Pattern and Histogram of Oriented Gradients

In this paper, unique features of the segmented image samples are extracted by using two major feature extraction techniques: Local Binary Pattern (LBP) and Histogram of Oriented Gradients (HOG). After this, these features are fused to get more precise and productive outcomes. The average accuracy of the three distinct datasets that were generated using the LBP and HOG features are determined. To calculate the accuracy of the three distinct models, classification techniques like KNN and SVM, are adopted.

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Hardik Agarwal mail -
Kanika Somani mail -
Shivangi Sharma mail -
Prerna Arora mail -
P. Singh Lamba mail -
Gopal Chaudhary mail
link https://doi.org/10.54216/FPA.010103

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Artificial Intelligence enabled virtual sixth sense application for the disabled

The sixth sense is a multi-platform app for aiding the people in need, that is, people who are handicapped in the form of lack of speech (dumb), lack of hearing (deaf), lack sight (blind), lack of judicial power to differentiate between objects (visual agnosia) and people suffering from autism (characterized by great difficulty in communicating and forming relationships with other people and in using language and abstract concepts). Our current product implementation is on two platforms, namely, mobile and a web app. The mobile app even works for object detection cases in offline mode. What we want to achieve using this is to make a better world for the people suffering from disabilities as well as an educational end for people with cognitive disabilities using our app. The current implementation deals with object recognition, text to speech, and a speech-to-text converter. The speech-to-text converter and text-to-speech converter utilized the Web Speech API (Application Program Interface) for the website and the mobile platform's text-to- speech and speech-to-text library. The object recognition wouldn't fetch enough use out of a website. Hence, it has been implemented on the mobile app utilizing the Firebase ML toolkit and different pre-trained models, both available offline and online.

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Aditya Sharma mail -
Aditya Vats mail -
Shiv Shankar Dash mail -
Surinder Kaur mail
link https://doi.org/10.54216/FPA.010104

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new

Study of Multi-Prime RSA

This paper studies and analyses the encryption and decryption times of a popular variant of the RSA algorithm, the multi-prime RSA. This algorithm uses more than two prime numbers for the encryption process. In this paper, 3, 4, and 5 prime RSA algorithms have been implemented and studied. The rate of increase of encryption and decryption times concerning the number of primes used is also illustrated and compared graphically.

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Surinder Kaur mail -
Shivani Mankotia mail -
Pooja Bharadwaj mail
link https://doi.org/10.54216/FPA.010105

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new