Guest Editors
Dr. Hamed Jelodar
E-mail: h.jelodar@unb.ca
Affiliation: Computer Science Deparetment. University of Brunswick, Fredericton, E3B 5A3, Canada
Homepage: https://www.unb.ca/cic/membership/researchers.html
Research Interests: Natural Language Processing; Medical Digital Mining; Machine/Deep Learning, Recommendation Systems
Dr. Sajjad Bagheri Baba Ahmadi
E-mail: Sajjad.bagheri@uws.ac.uk
Affiliation: School of Computing, Engineering & Physical Sciences, University of the West of Scotland, Paisley, PA1 2BE, UK
Homepage:
Research Interests: Cybersecurity; Ownership Protection, Privacy & Digital Multimedia Forensics; Machine Learning, Deep Learning
Summary
The rapid evolution of Artificial Intelligence (AI), data analysis techniques, and big data has significantly transformed various fields. AI technologies have shown tremendous potential in enhancing various applications, predicting trends, and automating complex tasks. Natural Language Processing (NLP) has also advanced, enabling better understanding and generation of human language. However, these advancements come with challenges such as data privacy concerns, algorithmic biases, and the constant need for adaptation to emerging trends. This special issue aims to explore both the advancements and challenges associated with AI, data analysis, and big data, highlighting their impact on various domains and ensuring robust implementations.
Aim:
This special issue seeks to provide a comprehensive overview of the latest advancements in AI, data analysis, and big data technologies and their applications across different fields. It aims to present innovative solutions, evaluate their effectiveness, and discuss the challenges faced in implementing these technologies in real-world scenarios
Scope:
The scope includes but is not limited to :
· AI-driven prediction and automation systems
· Advanced data analysis techniques
· Big data processing and Social Media analysis
· Natural Language Processing (NLP) advancements and applications
· Ethical and privacy considerations in AI and data analysis
· Case studies and real-world applications
· Challenges in integrating AI with existing systems
· Future trends and emerging technologies in the field
Suggested Themes:
· AI and Machine Learning for Predictive Analytics
· Behavioral Analytics an big data
· Automated Systems and Process Optimization
· Big Data Analytics and Processing Techniques
· Natural Language Processing (NLP) for Various Applications
· Privacy and Ethical Issues in AI Solutions
· Data Analysis Techniques for Predictive Modelling
· Challenges in AI-Enhanced Systems
Keywords
AI, Machine Learning, Data Analysis, Big Data, Natural Language Processing, Real-world Applications, Trend Prediction
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