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 [...]
Roberto Pagliarini, Carla Piazza
Epigenetic variation and somatic mutations represent molecular components of biodiversity that directly link the genome to the environment [...]
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. Machi…
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…
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…
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…
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…
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…