ASK-RAM-IMOT: Autonomous Shared Keys based Remote Authentication Method for Internet of Medical Things Applications

Praveen, R.; Pabitha, P.

doi:10.1007/s11277-023-10428-x

Cited by 30 publications

(1 citation statement)

References 33 publications

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“…These opinions are determined to introduce comprehensive impact for the purpose of opinion sharping, such that the government, political parties, financial institutions, public and private companies, and organization can monitor them from effectively perceiving the mind of the common people [4,5,6]. However, the process of web monitoring is a complex activity as there exists a diversified number of sources that contain voluminous data [7,8,9]. At this juncture, Opinion mining tools are considered as a boon for potentially processing a huge number of online reviews for the objective of determining the inherent opinions.…”

Section: Introductionmentioning

confidence: 99%

BIDRN: A Method of Bidirectional Recurrent Neural Network for Sentiment Analysis

D Muthusankar

2023

IJRITCC

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Text mining research has grown in importance in recent years due to the tremendous increase in the volume of unstructured textual data. This has resulted in immense potential as well as obstacles in the sector, which may be efficiently addressed with adequate analytical and study methods. Deep Bidirectional Recurrent Neural Networks are used in this study to analyze sentiment. The method is categorized as sentiment polarity analysis because it may generate a dataset with sentiment labels. This dataset can be used to train and evaluate sentiment analysis models capable of extracting impartial opinions. This paper describes the Sentiment Analysis-Deep Bidirectional Recurrent Neural Networks (SA-BDRNN) Scheme, which seeks to overcome the challenges and maximize the potential of text mining in the context of Big Data. The current study proposes a SA-DBRNN Scheme that attempts to give a systematic framework for sentiment analysis in the context of student input on institution choice. The purpose of this study is to compare the effectiveness of the proposed SA- DBRNN Scheme to existing frameworks to establish a robust deep neural network that might serve as an adequate classification model in the field of sentiment analysis.

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Section: Introductionmentioning

confidence: 99%

BIDRN: A Method of Bidirectional Recurrent Neural Network for Sentiment Analysis

D Muthusankar

2023

IJRITCC

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An efficient secure channel establishment through lightweight key distribution in e-health communication systems

Ebrahimi,

Nikooghadam

2024

Multimed Tools Appl

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A Review on Machine Learning-based Malware Detection Techniques for Internet of Things (IoT) Environments

Sasikala,

Janakiraman

2023

Wireless Pers Commun

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ASK-RAM-IMOT: Autonomous Shared Keys based Remote Authentication Method for Internet of Medical Things Applications

Cited by 30 publications

References 33 publications

BIDRN: A Method of Bidirectional Recurrent Neural Network for Sentiment Analysis

BIDRN: A Method of Bidirectional Recurrent Neural Network for Sentiment Analysis

An efficient secure channel establishment through lightweight key distribution in e-health communication systems

A Review on Machine Learning-based Malware Detection Techniques for Internet of Things (IoT) Environments

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