Vol. 9 — 2025

Edinburgh Journal of Natural Language Processing and AI

We are pleased to present the latest volume of the Edinburgh Journal of Natural Language Processing and AI (EJNLPAI). This issue highlights the latest developments in NLP, machine translation, and intelligent language systems. With contributions from global scholars, this edition bridges theoretical discourse and practical innovation in computational linguistics, deep learning for language understanding, and AI-driven human-computer interaction. EJNLPAI remains committed to fostering interdisciplinary research that reflects the evolving intersection of AI and human language. Each article published herein contributes to redefining how machines process, understand, and generate human language.

Articles

3 papers
01

Federated AI Models for Distributed Network Botnet Detection

10.55222/EJNLPAI.06
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PP. 1-7
02

Generative AI for Cyber-Physical System Automated Penetration Testing

10.55222/EJNLPAI.07
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PP. 8-13
03

Developing AI-Driven Consumer Insights for Omni-Channel Retail Strategies: Leveraging Machine Learning and Advanced Analytics for Customer Journey Mapping, Behavior Prediction, and Experience Personalization

10.55222/EJNLPAI.14
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PP. 55-97

Review Papers

1 paper
01

AI-Enhanced Real-Time Monitoring and Control Systems for Manufacturing Operations: Implementing Machine Learning for Dynamic Process Adjustment, Anomaly Detection, and Performance Optimization

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PP. 14-54