Machine learning-based social media bot detection: a comprehensive literature review

M Aljabri, R Zagrouba, A Shaahid, F Alnasser… - Social Network Analysis …, 2023 - Springer
In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …

A comprehensive survey on online social networks security and privacy issues: Threats, machine learning‐based solutions, and open challenges

M Bhattacharya, S Roy, S Chattopadhyay… - Security and …, 2023 - Wiley Online Library
Over the past few years, online social networks (OSNs) have become an inseparable part of
people's daily lives. Instead of being passive readers, people are now enjoying their role as …

A Comprehensive Evaluation and Methodology on Enhancing Computational Efficiency through Accelerated Computing

SR Thamma - 2024 - philpapers.org
Accelerated computing leverages specialized hardware and software techniques to optimize
the performance of computationally intensive tasks, offering significant speed-ups in …

A Case Study on Transforming Legacy Databases Seamless Migration to Snowflake

SR Thamma - 2024 - philpapers.org
Migrating legacy database applications to modern cloud-based solutions, such as
Snowflake, is becoming essential for organizations aiming to leverage scalable, efficient …

An Experimental Analysis of Revolutionizing Banking and Healthcare with Generative AI

SR Thamma - 2024 - philpapers.org
Generative AI is reshaping sectors like banking and healthcare by enabling innovative
applications such as personalized service offerings, predictive analytics, and automated …

RunMax: fake profile classification using novel nonlinear activation in CNN

P Wanda - Social Network Analysis and Mining, 2022 - Springer
Online social networks (OSN) are well-known platforms for exchanging various information.
However, one of the existing OSN challenges is the issue of fake accounts. The attacker …

Heterogenous Social Media Analysis For Efficient Deep Learning Fake-Profile Identification.

BLVS Aditya, SN Mohanty - IEEE Access, 2023 - ieeexplore.ieee.org
The surge in e-scams attributed to an estimated 30% of fake social media accounts has
highlighted the urgent need to identify such fraudulent profiles. Since the current model …

Cybersecurity for children: an investigation into the application of social media

V Chang, L Golightly, QA Xu, T Boonmee… - Enterprise Information …, 2023 - Taylor & Francis
The paper discusses cybersecurity for children (particularly teenagers) and focuses on
Social Media's impact using a theoretical approach. Many social media users are unaware …

[HTML][HTML] Detecting Fake Accounts on Instagram Using Machine Learning and Hybrid Optimization Algorithms

P Azami, K Passi - Algorithms, 2024 - mdpi.com
In this paper, we propose a hybrid method for detecting fake accounts on Instagram by using
the Binary Grey Wolf Optimization (BGWO) and Particle Swarm Optimization (PSO) …

Prediction and modeling of mechanical properties of concrete modified with ceramic waste using artificial neural network and regression model

PR Kshirsagar, K Upreti, VS Kushwah… - Signal, Image and Video …, 2024 - Springer
Over two centuries, concrete has been crucial to building. Thus, eco-friendly concrete is
being developed. Emulating these tangible traits has recently gained popularity. Ceramic …