Submission Deadline: 31 July 2023 (closed) View: 349
In the last few decades, Artificial Intelligence (AI) has been an integral part of our life. AI technology is important because it enables human capabilities – understanding, reasoning, planning, communication and perception – to be undertaken by software increasingly effectively, efficiently and at low cost. There is a growing need for AI technologies like machine learning, specifically, deep neural networks, knowledge graphs, neuro-fuzzy models etc., in the most of the applications that can affect masses. The purpose of this Special Issue is to provide a platform for engineers, data scientists, researchers and practitioners to present new academic research and industrial development on machine learning for engineering applications. It aims at original research papers in the field, covering new theories, algorithms, systems, as well as new implementations and applications incorporating state-of-the-art machine learning techniques. This special issue invites authors to submit their contributions in the following areas, but not limited to:
· AI solutions for medical diagnosis
· AI-driven security and privacy
· AI-driven marketing and finance applications
· AI-driven industry use cases
· AI-driven health monitoring systems and wearable system
· AI-driven usability applications
· AI in biomedical engineering
· AI in imaging
· AI in biometric identification
· AI in smart cities
· AI in smart transportation
· AI in genomics
· AI in humanities
· AI applications in mental health/sentiment analysis
· AI case studies, experience reports, benchmarking, best practices, and worst practices
Both research articles and extensive review articles are allowed.
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