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crossrefAlgorithms2025-12-16Cited by 0

Advanced Research on Machine Learning Algorithms in Bioinformatics

Roberto Pagliarini, Carla Piazza

Epigenetic variation and somatic mutations represent molecular components of biodiversity that directly link the genome to the environment [...]

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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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crossrefAlgorithms2024-05-10Cited by 5

Advanced Integration of Machine Learning Techniques for Accurate Segmentation and Detection of Alzheimer’s Disease

Esraa H. Ali, Sawsan Sadek, Georges Zakka El Nashef, Zaid F. Makki

Alzheimer’s disease is a common type of neurodegenerative condition characterized by progressive neural deterioration. The anatomical changes associated with individuals affected by Alzheimer’s disease include the loss of tissue in various areas of the brain. Magnetic Resonance I…

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crossrefAlgorithms2025-06-28Cited by 4

RU-OLD: A Comprehensive Analysis of Offensive Language Detection in Roman Urdu Using Hybrid Machine Learning, Deep Learning, and Transformer Models

Muhammad Zain, Nisar Hussain, Amna Qasim, Gull Mehak, Fiaz Ahmad, Grigori Sidorov, et al.

The detection of abusive language in Roman Urdu is important for secure digital interaction. This work investigates machine learning (ML), deep learning (DL), and transformer-based methods for detecting offensive language in Roman Urdu comments collected from YouTube news channel…

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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

Xue Jun Li, Maode Ma, Yihan Sun

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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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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