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crossrefAlgorithms2023-05-29Cited by 41

Enhancing Social Media Platforms with Machine Learning Algorithms and Neural Networks

Hamed Taherdoost

Network analysis aids management in reducing overall expenditures and maintenance workload. Social media platforms frequently use neural networks to suggest material that corresponds with user preferences. Machine learning is one of many methods for social network analysis. Machine learning algorithms operate on a collection of observable features that are taken from user data. Machine learning and neural network-based systems represent a topic of study that spans several fields. Computers can now recognize the emotions behind particular content uploaded by users to social media networks thanks to machine learning. This study examines research on machine learning and neural networks, with an emphasis on social analysis in the context of the current literature.

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crossrefAlgorithms2023-06-02Cited by 31

An Adaptive Deep Learning Neural Network Model to Enhance Machine-Learning-Based Classifiers for Intrusion Detection in Smart Grids

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Modern smart grids are built based on top of advanced computing and networking technologies, where condition monitoring relies on secure cyberphysical connectivity. Over the network infrastructure, transported data containing confidential information, must be protected as smart g…

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crossrefAlgorithms2026-07-08

Comparative Analysis of Machine Learning Algorithms for Malicious Network-Traffic Classification

Byron Wladimir Oviedo-Bayas, Stefany Michelle Perachimba Panezo, Jorge Humberto Guanin-Fajardo, Stalin Daniel Carreño Sandoya

The classification of malicious network-traffic is critical to cybersecurity. However, to the best of our knowledge, no previous studies have performed a comparative analysis of supervised algorithms for classifying malicious traffic, specifically within the network environment o…

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crossrefAlgorithms2024-07-18Cited by 8

Threshold Active Learning Approach for Physical Violence Detection on Images Obtained from Video (Frame-Level) Using Pre-Trained Deep Learning Neural Network Models

Itzel M. Abundez, Roberto Alejo, Francisco Primero Primero, Everardo E. Granda-Gutiérrez, Otniel Portillo-Rodríguez, Juan Alberto Antonio Velázquez

Public authorities and private companies have used video cameras as part of surveillance systems, and one of their objectives is the rapid detection of physically violent actions. This task is usually performed by human visual inspection, which is labor-intensive. For this reason…

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crossrefAlgorithms2022-04-27Cited by 15

An Emotion and Attention Recognition System to Classify the Level of Engagement to a Video Conversation by Participants in Real Time Using Machine Learning Models and Utilizing a Neural Accelerator Chip

Janith Kodithuwakku, Dilki Dandeniya Arachchi, Jay Rajasekera

It is not an easy task for organizers to observe the engagement level of a video meeting audience. This research was conducted to build an intelligent system to enhance the experience of video conversations such as virtual meetings and online classrooms using convolutional neural…

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crossrefAlgorithms2024-11-03Cited by 8

Enhancing Arabic Sentiment Analysis of Consumer Reviews: Machine Learning and Deep Learning Methods Based on NLP

Hani Almaqtari, Feng Zeng, Ammar Mohammed

Sentiment analysis utilizes Natural Language Processing (NLP) techniques to extract opinions from text, which is critical for businesses looking to refine strategies and better understand customer feedback. Understanding people’s sentiments about products through emotional tone a…

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