Intelligent Smart Dustbin System using Internet of Things (IoT) for Health Care

R.; Althaaf; Suraj; Vipul; Abhishek

doi:https://doi.org/10.54216/JCHCI.010204

Journal of Neutrosophic and Fuzzy Systems | 2023

Interval-Valued Neutrosophic Hypersoft Sets (IVNHSs) for enterprise resource planning selection

An information system known as an enterprise resource planning (ERP) system is designed to organize and combine all of an organization's subsystems, such as marketing, manufacturing, finances, and purchasing transactions. The adoption of such a complete framework may result in significant cost reductions as well as time reductions for individual workers. This problem is solved by the interval-valued neutrosophic hypersoft set. A new area of research known as the hypersoft set is being established to resolve issues with the inadequacy and limitations of pre-existing models that are similar to soft sets in terms of the consideration and entitlement of multi-argument approximation functions. (This particular kind of function transfers the multi-sub parametric tuples to the power set of the universe. It concentrates on the splitting of each attribute into its own attribute-valued set, which is something that is lacking in current structures that are similar to soft sets.

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Shereen Zaki mail -

Mahmoud Ismail mail

link https://doi.org/10.54216/JNFS.050206

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2021

Neutrosophic Perspective of Neutrosophic Probability Distributions and its Application

Neutrosophical probability is concerned with inequitable and defective topics and processes. This is a subset of Neutrosophic measures that includes a prediction of an event (as opposed to indeterminacy) as well as a prediction of some unpredictability. When there is no such thing as a non-stochastic occurrence, the Neutrosophic probability is the probability of determining a stochastic process. It is a generalisation of classical probability, which states that the probability of correctly predicting an occurrence is zero. Until now, neutrosophic probability distributions have been derived directly from conventional statistical distributions, with fewer contributions to the determination of the for statistical distribution. We introduced the Poission distribution as a limiting case of the Binomial distribution for the first time in this study, and we also proposed Neutrosophic Exponential Distribution and Uniform Distribution for the first time. With numerical examples, the validity and soundness of the proposed notions were also tested. 

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M. Lathamaheswari mail -

Said Broumi mail -

Florentin Smarandache mail -

S. Sudha mail

link https://doi.org/10.54216/IJNS.170202

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

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Journal of Neutrosophic and Fuzzy Systems |

New Operators Using Neutrosophic $ \delta $-Open Set

In this paper, we introduce some new operators called neutrosophic $ \delta $ frontier, neutrosophic $ \delta $ border and neutrosophic $ \delta $ exterior with the help of neutrosophic $ \delta $-open sets in neutrosophic topological space. Also, we discuss the important properties of them and the relations between them.

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C. JohnSundar mail -

A. Vadivel mail

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Volume & Issue

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Journal of Neutrosophic and Fuzzy Systems |

New Operators Using Neutrosophic $ \delta $-Open Set

In this paper, we introduce some new operators called neutrosophic $ \delta $ frontier, neutrosophic $ \delta $ border and neutrosophic $ \delta $ exterior with the help of neutrosophic $ \delta $-open sets in neutrosophic topological space. Also, we discuss the important properties of them and the relations between them.

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C. JohnSundar mail -

A.Vadivel mail

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International Journal of Neutrosophic Science | 2022

Single Valued Neutrosophic Sets with Optimal Support Vector Machine for Sentiment Analysis

Sentiment analysis (SA) is mainly employed to investigate the polarity of the sentiment existent in a content. It assist in understanding the opinions or feelings expressed by people. It find useful in several application areas such as e-commerce, education, etc. Natural language processing (NLP) and machine learning tools can be employed for SA. In this view, this study develops a Single Valued Neutrosophic Sets with Optimal Support Vector Machine (SVNS-OSVM) model for SA. The major intention of the SVNS-OSVM model is to identify the existence of sentiments exist in the data. The SVNS-OSVM model initially performs data pre-processing to transform the input data into a useful format. In addition, SVNS model is applied to derive word embeddings. Then, SVM model is applied for the detection and classification of sentiments. At the last level, the improved particle swarm optimization (IPSO) algorithm is used to fine tune the parameters involved in the SVM model. For ensuring the improved outcomes of the SVNS-OSVM model, a wide range of simulations were performed and the results are inspected under several aspects. The comparative study highlighted the betterment of the SVNS-OSVM model compared to recent approaches.

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Mohammed I. Alghamdi mail

link https://doi.org/10.54216/IJNS.1803020

Volume & Issue

Vol. Volume 18 / Iss. Issue 3

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Journal of Intelligent Systems and Internet of Things | 2021

An Improved Metaheuristic based Node Localization Technique for Wireless Sensor Networks

Cloud computing (CC) becomes a familiar topic in offering unlimited access to services as well as resources via the Internet. A comprehensive CC management system is needed to collect details of the task processing and ensure proper resource allocation with the accomplishment of Quality of Service (QoS). At the same time, virtual machine (VM) migration is a crucial problem in the CC platform which contributes to energy utilization and resource usage. Therefore, this paper presents a new energy-aware elephant herd optimization-based VM migration (EAEHO-VMM) scheme. The EAEHO-VMM algorithm aims to migrate the VMs and prediction failure VMs. At the initial stage, the EHO algorithm is executed to minimize the energy utilization of the VM migration process in the CC environment. In addition, a support vector machine (SVM) model is applied to identify the failure VMs and allows relocation in an effective way. In order to make sure the better performance of the EAEHO-VMM algorithm, a series of simulations take place, and the results are investigated in terms of different aspects. The experimental outcomes ensured the enhanced VM migration performance of the EAEHO-VMM algorithm over the other techniques.

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Mohamed Elsharkawy mail -

I.S. Farahat mail

link https://doi.org/10.54216/JISIoT.050204

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2021

Neutrosophic Multigroup Homomorphism and Some of its Properties

In a way, the notion of neutrosophic multigroup is an application of neutrosophic multisets to the theory of group. The concept of neutrosophic multigroup is an algebraic structure of neutrosophic multiset that generalizes both the theories of classical group and neutrosophic group. Neutrosophic multigroup constitutes an application of neutrosophic multiset to the elementary theory of classical group. In this paper, we propose the concept of homomorphism on neutrosophic multigroup. We define homomorphism kerlf, automorphism, homomorphic image and homomorphic preimage of neutrosophic multigroup, respectively. Some homomorphic properties of neutrosophic multigroup are explicated. Some homomorphic properties of neutrosophic multigroup are also discussed. This new concept of homomorphism as a bridge among set theory, fuzzy set theory, neutrosophic multiset theory and group theory and also shows the effect of neutrosophic multisets on a group structure. We finally derive the basic properties of neutrosophic multigroup homomorphism and give its applications to group theory

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Memet Sahin mail

link https://doi.org/10.54216/IJNS.170203

Volume & Issue

Vol. Volume 17 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

Apparel Recommendation Engine Using Inverse Document Frequency and Weighted Average Word2vec

The rapid development of e-commerce shopping marketplaces necessitates the use of recommendation engines and quick, precise, and efficient algorithms in order for the company's business models to generate a massive amount of profit. A computer vision software programme enables a computer to learn a great deal from digital images or movies. Machine learning methods are used in computer vision, and several machine learning techniques have been developed specifically for this purpose. Information retrieval is the process of extracting useful information from a dataset, and computer vision is the most commonly used tool for this purpose nowadays. This project consists of a series of modules that run sequentially to retrieve information from a marked area on a receipt. A receipt image is used as an input for the model, and the model first uses various image processing algorithms to clean the data, after which the pre-processed data is applied to machine learning algorithms to produce better results, and the result is a string of numerical digits including the decimal point. The program's accuracy is primarily determined by the image quality or pixel density, and it is necessary to ensure that an input receipt is not damaged and content is not blurred.

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Parvesh K. mail -

Tharun C. mail -

Prakash M. mail

link https://doi.org/10.54216/JCHCI.010201

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

Collaborating the Textual Reviews of the Merchandise and Foretelling the Rating Supported Social Sentiment

Lately, we have seen a twist of audit sites. It presents a decent opportunity to share our experience for a considerable length of time we have bought. Be that as it may, we tend to confront the information over-burdening issue. A method for mining significant information from surveys to know a client's inclinations and produce precise proposal is fundamental. Since quite a while ago settled recommender Systems (RS) considers a few variables, similar to client's buy records, item class, and geographic area. During this work, we have proposed sentiment-based rating prediction technique (RPS) to help up the expectation precision in recommender Systems. First and foremost, we examine the social user sentimental measuring approach and calculate every user’s sentiment on things/items. Furthermore, we don't exclusively consider a client's own wistful properties anyway moreover take interpersonal social sentimental influence into study. Then, at that point, we propose to consider item name, which might be deduced by the sentimental distributions of a user set that reflect clients' comprehensive analysis. Finally, we tend to intertwine 3 factors-user sentiment similarity, interpersonal social sentimental distributions of a client opinion likeness, interpersonal social sentimental influence, associate the thing's reputation relationship into our recommender system to make a talented rating prediction. Then, at that point, we arranged a presentation analysis of the 3 sentimental factors on a genuine world dataset gathered from Yelp. Our exploratory outcomes show, the sentiment will well describe user preferences, which facilitate to hike the proposal execution.

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Vijay K. mail

link https://doi.org/10.54216/JCHCI.010203

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

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Journal of Cognitive Human-Computer Interaction | 2021

Intelligent Smart Dustbin System using Internet of Things (IoT) for Health Care

Facilities produce a great deal of possibly hazardous waste. Waste Separation Most of the s are at this point running on of the leeway pickers. At this point separates from , and holders 444 containing dangerous clinical facility waste and discarded release, needles, glucose dropper bottles, plastic paper and wraps are disengaged from hands, Cancer and Infectious Disease. This can incite lower rules, of survivors, lower future, and impact on the time of youths brought into the world to such affected watchmen. Modified waste separators have been proposed to automate the parcel of biomedical waste created in clinical centers. Exactly when metal waste (cautious sharp edges, needles, etc) is recognized, the highest point of the internal compartment turns in like way, holding people back from setting the misfortune in some unsatisfactory office. The trash canister cover is robotized, so when a singular stands near the trash receptacle, the top will open normally. From here on out, one can put in the waste. Separation of clinical waste is done normally to hinder the spread of disease in crisis facilities and reduce manual cycles.

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R. Venkatesan mail -

Althaaf Shaik mail -

Suraj Kumar mail -

Vipul Guria mail -

Abhishek Raj mail

link https://doi.org/10.54216/JCHCI.010204

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new