Bipolar neutrosophic soft contra generalized pre-continuous and
contra generalized alpha-continuous mappings

International Journal of Wireless and Ad Hoc Communication | 2021

An Overview of Cloud-Based Secure Services for Enterprise Drug–Drug Interaction Systems

Cloud computing has brought a new paradigm shift to the technology industry and has become increasingly popular. Cloud communication is an emerging technology that can be combined with traditional healthcare management used to provide better healthcare services. Today, the adoption rate of cloud computing by small and medium enterprises (SMEs) is much higher than that of large companies. This triggered a debate about whether this cloud computing technology will penetrate the entire IT industry. Small and midsize enterprises are using cloud computing to deploy general IT infrastructure and software systems at low-cost, while large enterprises rely on their own infrastructure to ensure data security, privacy, and flexibility. One of the most demanded healthcare services that needs the cloud privileges is Drug-Drug Interaction – DDI. In this article, we have investigated different traditional systems compared to cloud-based systems, and as a privilege of providing system solutions to the public, what features the cloud brings to improve health management software.

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Muhammad Edmerdash, Waleed khedr, Ehab Rushdy mail

link https://doi.org/10.54216/IJWAC.020201

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

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International Journal of Wireless and Ad Hoc Communication | 2021

Improvement and Enhancement of bandwidth of 5G Networks using Machine Learning

Radio-frequency-based systems are exhibiting severe bandwidth congestion as a result of the exponential development in the amount of data flow. Both cognitive radio technology and free-space-optical communication are examples of attempts to find solutions to the problems posed by high data rates and limited spectral bandwidth. Operating an optical wireless transmission system does not need the purchase of a license. Additionally, the accommodation of unlicensed users across the restricted frequency that is accessible to us is the foundation of the technology known as cognitive radio. Since Dynamic-Window Size systems do not need a license, they are very cost-effective, they can be readily deployed, and they provide a high bandwidth; hence, Dynamic-Window Size systems may be used to bridge with the existing Radio Frequency system. Within the framework of the proposed Dynamic-Window-Size system, the Radio Frequency link is modeled based on the Rayleigh distribution, whilst the Dynamic-Window-Size link experiences -/IG composite fading. It is possible to determine both the moment-generating function (MGF) and its derivative. By making use of the formulas that were derived from them, various performance metrics, such as ergodic channel capacity, bit error rate (BER), and output power are calculated, along with the validations that are provided by asymptotic findings. In addition to this, a new closed-form identity is discovered that relates to a specific instance of Bessel's function. In addition to the convex optimization that was mentioned above for the purpose of optimizing the overlay and underlay power in the scheme that was presented, the performance of the Cognitive Radio network is evaluated by making use of a variety of pulse-shaping windows. Suppressing the side lobes of the primary users' (PUs') sub-carriers is a way to reduce the amount of interference that primary users cause for secondary users without harming the primary users' own transmissions. This study involves the creation of a variety of pulse-shaping windows across a variety of power allocation systems as well as an examination of how these windows compare to one another.

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Aaras Y.Kraidi mail -

A. Rajalingam mail

link https://doi.org/10.54216/IJWAC.020205

Volume & Issue

Vol. Volume 2 / Iss. Issue 2

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American Journal of Business and Operations Research | 2021

Parameter Tuned Machine Learning based Decision Support System for Bank Telemarketing

In banking sectors, telemarketing is the major support of selling the products or services. Banking advertisement and marketing are mainly depending upon the comprehensive knowledge of objective data regarding the market and the actual client requirements for the bank gainful way. Decision Support Systems (DSS) play a vital part in telemarketing sector, which determines a specific class of automized facts to assist the company to make decisions. Machine learning (ML) is commonly used in the DSS which integrates the data and computer application for precise prediction of results. This paper presents an effective parameter tuned ML based DSS (PTML-DSS) for bank telemarketing sector. The proposed PTML-DSS technique follows a three-level process namely preprocessing, classification, and parameter optimization. Initially, the marketing data is preprocessed to get rid of unwanted information. In addition, gradient boosting decision tree (GBDT) based classifier model is used to classify the data. Besides, firefly algorithm (FFA) is applied for tuning the parameters involved in the GBDT model. In order to verify the improved performance of the PTML-DSS technique, a series of simulations were performed, and the results are inspected under varying aspects. The resultant values reported the improved performance of the PTML-DSS technique over the other techniques.

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Noura Metawa mail -

Amany Ahmed Elshimy mail

link https://doi.org/10.54216/AJBOR.040103

Volume & Issue

Vol. Volume 4 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2021

Indeterminacy in Neutrosophic Theories and their Applications

       Indeterminacy makes the main distinction between fuzzy / intuitionistic fuzzy (and other extensions of fuzzy) set / logic vs. neutrosophic set / logic, and between classical probability and neutrosophic probability. Also, between classical statistics vs. neutrosophic and plithogenic statistics, between classical algebraic structures vs. neutrosophic algebrais structures, between crisp numbers vs. neutrosophic  numbers. We present a broad definition of indeterminacy, various types of indeterminacies, and many practical applications. 

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Florentin Smarandache mail

link https://doi.org/10.54216/IJNS.150203

Volume & Issue

Vol. Volume 15 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science |

MULTI CRITERIA DECISION MAKING APLICATIONS BASED ON SET VALUED GENERALIZED NEUTROSOPHIC QUADRUPLE SETS FOR LAW

In this article, an algorithm has been introduced that enables judges to see the decisions that should be made in a way that is closest to the conscience and the law, without transferring the cases to the higher authorities, without anyone objecting to their decisions. This algorithm has been introduced depending on the generalized set-valued neutrosophic quadruple numbers and the Euclidean similarity measure in sets, what the decision is made by considering all the situations, regardless of which case the defendants come before the judge, how similar these decisions are to the legal decisions that should be made. In this way, we can easily see the decisions given to the accused in all kinds of cases, and we can arrange the decisions according to the similarity value. The closer the similarity value is to 1, the more correct the judge's decision from a legal point of view.

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American Journal of Business and Operations Research | 2021

Multi-objective Chaotic Butterfly Optimization with Deep Neural Network based Sustainable Healthcare Management Systems

Sustainable healthcare systems are developed to priorities healthcare services involving difficult decision-making processes. Besides, wearables, internet of things (IoT), and cloud computing (CC) concepts are involved in the design of sustainable healthcare systems. In this study, a new Multi-objective Chaotic Butterfly Optimization with Deep Neural Network (MOCBOA-DNN) is presented for sustainable healthcare management systems. The goal of the MOCBOA-DNN technique aims to cluster the healthcare IoT devices and diagnose the disease using the collected healthcare data. The MOCBOA technique is derived to perform clustering process and also to tune the hyperparameters of the DNN model. Primarily, the clustering of IoT healthcare devices takes place using a fitness function to select an optimal set of cluster heads (CHs) and organize clusters. Followed by, the collected healthcare data are sent to the cloud server for further processing. Furthermore, the DNN model is used to investigate the healthcare data and thereby determine the presence of disease or not. In order to ensure the betterment of the MOCBOA-DNN technique, an extensive simulation analysis take place. The experimental results portrayed the supremacy of the MOCBOA-DNN technique over the other existing techniques interms of diverse evaluation parameters.

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Abedallah Zaid Abualkishik mail -

Ali A. Alwan mail

link https://doi.org/10.54216/AJBOR.040203

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

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Journal of Intelligent Systems and Internet of Things | 2019

Trust Aware Moth Flame Optimization based Secure Clustering for Wireless Sensor Networks

Wireless sensor networks (WSN) encompass numerous sensor nodes deployed in the physical environment to sense parameters and transmit to the base station (BS). Since the nodes in WSN communicate via a wireless channel, security remains a significant issue that needs to be resolved. The choice of cluster heads (CHs) is critical to achieving secure data transmission in WSN. In this aspect, this article presents a novel trust-aware mothflame optimization-based secure clustering (TAMFO-SC) technique for WSN. The goal of the TAMFO-SC technique is to determine the trust level of the nodes and determine the secure CHs. The proposed TAMFO-SC technique initially determines the nodes' trust level, and the node with maximum trust factor can be chosen as CHs. In addition, the TAMFO-SC technique derives a fitness function using two parameters, namely residual energy and trust level. The inclusion of trust level in the CH selection process helps to accomplish security in WSN. A comprehensive experimental analysis exhibits the promising performance of the TAMFO-SC technique over the other compared methods. 

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Abdul Rahaman Wahab Sait mail -

M. Ilayaraja mail

link https://doi.org/10.54216/JISIoT.000202

Volume & Issue

Vol. Volume 0 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2021

Single-valued Plithogenic graph for handling multi-valued attribute data and its context

  Recently, several researchers paid attention towards dealin with uncertainty in data with neutrosophic attributes. In this process, a problem is addressed while dealing with contradiction and its impact on decision making. It is considered as one of the major issues for data science researchers working in three-way fuzzy concept lattice. To deal with this issue, current paper tried to introduce the algebra of single-valued Plithogenic graph and its visualization based on infium and supremum. The proposed method also demonstated with an illustrative example for better understanding.  

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Prem Kumar Singh mail

link https://doi.org/10.54216/IJNS.150204

Volume & Issue

Vol. Volume 15 / Iss. Issue 2

Details open_in_new

International Journal of Wireless and Ad Hoc Communication | 2019

A PSPICE Fast Model for the Single Electron Transistor

Motivated by the merits of low power dissipation, ultra small size, and high speed of many nanoelectronic devices, They have been demonstrated to ensure future progress. Single electron devices became one of the most important nanoelectronic devices due to their interesting electrical characteristics and behavior. Many research efforts moved to describe their electrical characteristics to use them with conventional electronic devices. This paper deals with modeling and simulation of such new electronic devices. This paper presents a model for the Single Electron Transistor (SET) and its application in simulating hybrid SET/MOS ADC and DAC converters. This model uses the orthodox theory of single-electron tunneling and determines the average current through the transistor. The proposed model is more flexible that is valid for large range of drain to source voltage, valid for single or multi gate SET and symmetric or asymmetric SET. Finally, using this model with MOSFET transistors to realize a multi-bit Analog-to-Digital Converters (ADC) and Digital-to-Analog Converters (DAC). The hybrid n-bit DAC nano-circuits are simulated for (n=4 and 8) using Orcad Capture PSPICE. The performance of the SET/MOS hybrid n-bit ADC circuits were simulated (for n=3 and 8). The results show that the transient operation of hybrid SET/MOS circuit-based DAC could successfully operate at 1000K while ADC could operate at 144K. This performance can be compared with the pure SET circuits, the proposed converter circuits have been enhanced in the drive capability and the power dissipation. Compared with the oth`er SET/MOS hybrid circuit, the implemented converter circuits have low simulation time, high speed, high load drivability and low power dissipation.

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Lobna Osman mail

link https://doi.org/10.54216/IJWAC.000101

Volume & Issue

Vol. Volume 0 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science |