Anonymization techniques for privacy preserving data publishing: A comprehensive survey

A Majeed, S Lee - IEEE access, 2020 - ieeexplore.ieee.org
Anonymization is a practical solution for preserving user's privacy in data publishing. Data
owners such as hospitals, banks, social network (SN) service providers, and insurance …

A comprehensive analysis of privacy-preserving solutions developed for online social networks

A Majeed, S Khan, SO Hwang - Electronics, 2022 - mdpi.com
Owning to the massive growth in internet connectivity, smartphone technology, and digital
tools, the use of various online social networks (OSNs) has significantly increased. On the …

Feature selection based on absolute deviation factor for text classification

L Jin, L Zhang, L Zhao - Information Processing & Management, 2023 - Elsevier
In text classification, it is necessary to perform feature selection to alleviate the curse of
dimensionality caused by high-dimensional text data. In this paper, we utilize class term …

An intelligent semanticification rules enabled user-specific healthcare framework using IoT and deep learning techniques

R Radhika, A Bhuvaneswari, G Kalpana - Wireless Personal …, 2022 - Springer
Things or device under the Internet of Things, when connected to the internet, becomes a
product, offers various applications and services for end-users. Existing methodologies offer …

A DAG-Based reputation mechanism for preventing peer disclosure in SIoV

Y Li, X Tao, X Zhang, J Xu, Y Wang… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The sensitive information of vehicles which is closely related to the safety of transportation
makes the privacy problems in the vehicular networks a popular concern. The development …

[PDF][PDF] Vision based Hand gesture pattern recognition enabled home automation system using Internet of Things

R Jayanthi, A Bhuvaneswari, S Rajkumar… - Design …, 2021 - researchgate.net
Controlling electric home appliances and gadgets with the help of switches is difficult for old
and disabled people. The main motive of this paper is to help them by automating the control …

Deep Learning Based Reliable User Identification in Social Media During Crisis

V Chinnaiah, M Dhayanithi, NK GE SivaKumar… - International Conference …, 2024 - Springer
The identification of the trustworthy sources and determining their reliability during
information diffusion are the most challenging tasks in social media. A trustworthy user …

Topic Modeling Based Clustering of Disaster Tweets Using BERTopic

A Bhuvaneswari, M Kumudha - 2024 MIT Art, Design and …, 2024 - ieeexplore.ieee.org
The essence of catastrophe management is in the capacity to promptly and effectively
addressing unforeseen circumstances, as well as to implement premeditated and flexible …

Leveraging machine learning based human voice emotion recognition system from audio samples

B Anbalagan, R Radhika, R Jayanthi… - AIP Conference …, 2022 - pubs.aip.org
Emotion Recognition through voice tests is a new exploration subject in the Human-
Computer Interaction (HCI) field. The requirement for it has emerged for an all the more …

Detecting New Events from Microblogs Using Convolutional Neural Networks

A Bhuvaneswari, K Aishwarya… - Advances in Electrical …, 2020 - Springer
Online social networks turn out to be a potential data source to discover worthwhile
information from microblogs. Conversely, time-critical exploration of microblog data during …