Volume & Issue
Vol. Volume 4 / Iss. Volume 4 Table of Contents
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Found 3739 matches for "All Articles"
Pre-Cursor microRNAs from Different Species classification based on features extracted from the image
The first MicroRNAs was discovered 27 years ago in the nematode C.elegans genomes. MicroRNAs (miRNAs) sequences are small and are expressed in various genomes to affect the translation or the stability of target mRNAs. These short RNA sequences are involved in targeting post-transcriptional gene regulation. The mature miRNAs are derived from longer sequence precursors (pre-miRNAs). Previous works have shown that pre-miRNAs can be classified by their species of origin using bioinformatics techniques combined with machine learning tools. In this study, we focus on the classification of Precursor microRNAs sequences, from 16 different species ranging from animals, plants, and viruses, based on the combination of the features extracted from images corresponding to DNA sequences and machine learning algorithms. As a result, our classification shows that the system based on features correspond to energy images of pre-miRNAs signals using the PNUC coding technique corresponding to the DNA sequence is very efficient in terms of miRNAs inter-genomics recognition
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https://doi.org/10.54216/JCIM.030101
Volume & Issue
Vol. Volume 3 / Iss. Issue 1
Incremental Research on Cyber Security metrics in Android applications by implementing the ML algorithms in Malware Classification and Detection
Cyber attacks are prevailing to be a great headache for the technical advancements especially when dealt with mobile usage in an android application environment. For a new user, it is difficult to identify the set of harmful permissions. This could be an advantage for malware intruders to access the data or infect the mobile device by introducing malware applications. Thus the face of Cybersecurity has changed in recent times with the advent of new technologies such as the Cloud, the internet of things, mobile/wireless, and wearable technology. The technological advances in data science which help develop contemporary cybersecurity solutions are storage, computing, and behavior. In this paper, the possible investigations are done on the cyber attacks in android by adopting the various malware classification and detection techniques. Various Classifications and Detections are done on various malware prevailing in the android applications.
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link
https://doi.org/10.54216/JCIM.030102
Volume & Issue
Vol. Volume 3 / Iss. Issue 1
Security Challenges for IoT Based Applications & Solutions Using Fog Computing: A Survey
The internet of things has taken the world by storm. According to prediction, there will be around 30 billion connected devices in the year 2020. This means that some or all our home applications might have the capability to be controlled remotely. Recently, the use of IoT devices and sensors has been rapidly increased which also caused data generation (information and logs), bandwidth usage, and related phenomena to be increased. To our best knowledge, a standard definition for the integration of fog computing with IoT is emerging now. This integration will bring many opportunities for the researchers, especially while building cyber-security related solutions. In this study, we surveyed about the integration of fog computing with IoT and its implications. Our goal was to find out and emphasize problems, specifically security-related problems that arise with the employment of fog computing by IoT.
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link
https://doi.org/10.54216/JCIM.030103
Volume & Issue
Vol. Volume 3 / Iss. Issue 1
Pairwise Pythagorean Neutrosophic Strongly Irresolvable Spaces (with dependent neutrosophic components between T and F)
In this paper, we have define the pairwise Pythagorean Neutrosophic (for short, pairwise PN) bitopological spaces (with dependent neutrosophic components between T and F). We also study the Pairwise PN strongly irresolvable spaces .The conditions under which pairwise PN strongly irresolvable spaces become pairwise PN first category spaces and pairwise PN Baire spaces are also investigated.
groups
link
https://doi.org/10.54216/IJNS.0120101
Volume & Issue
Vol. Volume 12 / Iss. Issue 1
Introduction to NeutroGroups
The objective of this paper is to formally present the concept of NeutroGroups by considering three NeutroAxioms (NeutroAssociativity, existence of NeutroNeutral element and existence of NeutroInverse element). Several interesting results and examples of NeutroGroups, NeutroSubgroups, NeutroCyclicGroups, NeutroQuotientGroups and NeutroGroupHomomorphisms are presented. It is shown that generally, Lagrange’s theorem and 1st isomorphism theorem of the classical groups do not hold in the class of NeutroGroups.
groups
link
https://doi.org/10.54216/IJNS.060102
Volume & Issue
Vol. Volume 6 / Iss. Issue 1
Identification of Facial Expressions using Deep Neural Networks
Detecting and analyzing emotions from human facial movements is a problem defined and developed over many years for the benefits it brings. During playback, when developing data sets, data sets with methods become more and more complex, and accuracy and difficulty increase gradually. In the given paper, we will use a deep structured learned network using the two mechanisms - Vgg and Resnet50 with deep layers to classify emotions based on input images in complex environments. Besides that, we also use learning methods combining many modern models to increase accuracy. Experimental results show that the two proposed methods have better results than some modern methods in emotional recognition problems for complex input images and some results reported in scientific studies. Particularly combined learning method gives good accuracy - 66.15% on the dataset FER2013
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link
https://doi.org/10.54216/FPA.020101
Volume & Issue
Vol. Volume 2 / Iss. Issue 1
A New Trend to Extensions of CI-algebras
In this paper, as an extension of CI-algebras, we discuss the new notions of Neutro-CI-algebras and Anti-CI-algebras. First, some examples are given to show that these definitions are different. We prove that any proper CI-algebra is a Neutro-BE-algebra or Anti-BE-algebra. Also, we show that any NeutroSelf-distributive and AntiCommutative CI-algebras are not BE-algebras.
groups
link
https://doi.org/10.54216/IJNS.050101
Volume & Issue
Vol. Volume 5 / Iss. Issue 1
A SVTrN-number approach of multi-objective optimisation on the basis of simple ratio analysis based on MCDM method
An essential process in the study of human work behaviour or huma n resource management is the personnel selection/recruitment and a major challenge of an organization is to determine the most potential personnel. From this perspective, this paper tries to formulate MOOSRA approach in the neutrosophic environment to select potential personnel in organizations. The method proves to reduce complexity in computation and is comprehensible. An illustrative example is shown for better understanding of the proposed method.
groups
link
https://doi.org/10.54216/IJNS.050102
Volume & Issue
Vol. Volume 5 / Iss. Issue 1
On Refined Neutrosophic Algebraic Hyperstructures I
Given any algebraic hyperstructure (X, ∗, ◦), the objective of this paper is to generate a refined neutrosophic algebraic hyperstructure (X(I1, I2), ∗', ◦') from X, I1 and I2 and study refined neutrosophic Krasner hyper-rings in particular.
groups
link
https://doi.org/10.54216/IJNS.050103
Volume & Issue
Vol. Volume 5 / Iss. Issue 1