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An Intelligent Optimization Model for Fragment Assembly Problem

problem as it requires rebuilding the original sequence of DNA from a massive number of fragments. This paper introduces an efficient hybridization between Harris Hawks Optimization (HHO) and Problem Aware Local Search (PALS) to be utilized in solving DNA Fragment Assembly Problem (FAP). The efficiency of the proposed hybrid algor In computational molecular biology, the sequencing of Deoxyribonucleic Acid (DNA) is a very challenging ithm (PHHO) is compared with the original PALS, Firefly Algorithm (FA), Genetic Algorithm (GA), Artificial Bee Colony (ABC), and GAG50. The experimental results show the efficiency of the proposed algorithm compared to other approaches.

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Osama Maher mail
link https://doi.org/10.54216/FPA.070201

Volume & Issue

Vol. Volume 7 / Iss. Issue 2

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Non-Euclidean, AntiGeometry, and NeutroGeometry Characterization

Recently, a problem is addressed about dealing the difference among Non-Euclidean, AntiGeometry and NeutroGeoemtry data sets. The problem arises while partial negation of Euclidean Geometry, full negation of Euclidean or Hybrid mode. In case of undefined geometry also many researchers raised the questions. To tackle this issue, the current paper provides some examples for Non-Euclidean, AntiGeometry, and Neutrogemoetry for better understanding. 

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Prem Kumar Singh mail
link https://doi.org/10.54216/IJNS.180301

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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Nncγ Maps in Nnc-Topological Spaces

In this article, the concept of N-neutrosophic crisp γ-open and N-neutrosophic crisp γ-closed mappings in N-neutrosophic crisp topological spaces are introduced and studied some of their related properties. Also, Nneutrosophic crisp γ irresolute mapping is introduced in N-neutrosophic crisp topological spaces. Further, it is extended to N-neutrosophic crisp γ-homeomorphism, N-neutrosophic crisp γ-Completely homeomorphism and N-neutrosophic crisp γT1/2-space in N-neutrosophic crisp topological spaces and establishes some of their related properties. Finally, Strongly N-neutrosophic crisp γ continuous and Perfectly N-neutrosophic crisp γ continuous functions is also discuss.

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A. Vadivel mail -
C. John Sundar mail
link https://doi.org/10.54216/IJNS.180302

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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Some remarks on ∆^m (I_λ )-summability on neutrosophic normed spaces

In present paper we use the difference operator ∆^m and λ-summability to define the new concepts of ∆^m (λ)-convergence and ∆^m (I_λ)-convergence on neutrosophic normed spaces (briefly known as NNS). We also introduce concepts of ∆^m (I_λ)-limit point, ∆^m (I_λ)-cluster point and obtain some relationships among these notions. Finally, we define ∆^m (λ)-Cauchy, 〖∆^m (I〗_λ)-Cauchy sequences on these spaces and present a characterization for ∆^m (I_λ)-convergence preserving linear operators on neutrosophic normed spaces

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On Quasi Ng#− Open and Quasi Ng#− Closed Mappings in Neutrosophic Topological Spaces

The aim of this article is to investigate a new kind of Neutrosophic open and closed mappings called quasi N g#− Open and quasi N g#− closed mappings and analyse their characterizations in Neutrosophic topolog-ical spaces with necessary examples.

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Pious Missier S mail -
Babisha Julit R mail -
Martina Jency mail
link https://doi.org/10.54216/IJNS.180303

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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Flower Classification Using CNN Layers

In the era of advancement of technology, the growth of deep learning is increasing with the increase in the day to day activities around.Deep learning has been used to find several subjects such as face recognition, object detection, and face detection. Deep learning is a sub layer of AI and machine learning that is defined as the process of simulating the human brain. Neural networks are the foundation of deep learning.Deep learning is one of the sub layer of AI and ML,and is defined as the process of mimicing of human brain.Deep learning is based on neural networks .The concept of deep learning mimics how human neurons sends signals to particular organ according to the task.We are using CNN for this model because for training the images,CNN is the best suited model.CNNs are a category of neural network that works to processing data with a grid-like architecture, such as pixels.The three layers involved in CNN are: 1. The convolution Layer 2. The pooling layer 3.The fully Convoluted layer The first two layers i.e.,Convolution layer and pooling layer is used to identify the features in an image The last layer ,Fully convoluted layer is used to extract the features in an image. Our model is based on flower image classification.In this model,we used five different optimizers in calculating loss functions.The lower the loss function,gives the better model.

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Feedback and Review System

In marketing field, a product is defined as an item offered to sale. Every product is set with a cost and is sold in the market. After selling a product in the market, the information about the level of satisfaction comes only from a customer. This is known as feedback. In marketing terms, Feedback is defined as the information about the product and experience with the product. Feedback is not only applicable in marketing but also in a multiple scenarios such as feedback on a particular school, feedback on senior employee from other employees, etc. In this paper, we discuss about the feedback received from students. This student feedback is based on the level of satisfaction of the faculty’s performance on the subject. This system of following a feedback from students results in getting to know a student’s problem, their interest in the subject to the faculty and the feedback from students also improves in changing the style of teaching in favour of a student by the faculty.

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Feedback and Review System

In marketing field, a product is defined as an item offered to sale. Every product is set with a cost and is sold in the market. After selling a product in the market, the information about the level of satisfaction comes only from a customer. This is known as feedback. In marketing terms, Feedback is defined as the information about the product and experience with the product. Feedback is not only applicable in marketing but also in a multiple scenarios such as feedback on a particular school, feedback on senior employee from other employees, etc. In this paper, we discuss about the feedback received from students. This student feedback is based on the level of satisfaction of the faculty’s performance on the subject. This system of following a feedback from students results in getting to know a student’s problem, their interest in the subject to the faculty and the feedback from students also improves in changing the style of teaching in favour of a student by the faculty.

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A Contribution to the Group of Units' Problem in Some 2-Cyclic Refined Neutrosophic Rings

This paper is dedicated to study the group of units problem in some 2-cyclic refined neutrosophic rings, where it presents a full classification of the group of units in 2-cyclic refined neutrosophic ring of integers  , 2-cyclic refined neutrosophic ring of integers modulo 2 and 3 ,  and 2-cyclic refined neutrosophic ring of real numbers , as direct products of the cyclic groups. On the other hand, this work provides a necessary and sufficient condition for the invertibility of any square 2-cyclic refined neutrosophic real matrix. Also, we will illustrate some examples to clarify the validity of our work.

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Basheer Abd Al Rida Sadi mail
link https://doi.org/10.54216/IJNS.180304

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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2-Absorbing Neutrosophic Weakly Completely Γ-Ideals

The goal of this study is to present a definition of a generalization of neutrosophic prime Γ-ideals in Γ-rings by introducing 2-absorbing neutrosophic weakly completely Γ-ideals of commutative Γ-rings and to propose their properties. Also, we give the notion of 2-absorbing K- Γ-neutrosophic ideals of Γ-rings. Moreover, we acquire a scheme that relationship between definition of 2-absorbing neutrosophic weakly completely Γ-ideals and 2-absorbing K- Γ-neutrosophic ideals of Γ-rings. Finally, we investigate neutrosophic quotient Γ-ring of  induced by the 2-absorbing neutrosophic weakly completely Γ-ideal is a 2-absorbing Γ− ring.

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Serkan Onar mail
link https://doi.org/10.54216/IJNS.180308

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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