“The trilogy is useful to either the specialized researcher seeking information on specific sub areas within these disciplines or the newcomer who seeks to get involved in these disciplines. … I warmly congratulate the editors for their superb work. I highly and wholeheartedly recommend the trilogy to professors, graduate students, practitioners and other specialists in artificial intelligence-based technologies and assistive technologies, and to general readers, all of whom, I am sure, will benefit greatly from it in their research endeavor.” (Du Zhang, Intelligent Decision Technologies, Vol. 16 (1), 2022)

• Chapter 1: Introduction To Advances In Assistive Technologies.- Chapter 2: Applications of AI in Healthcare and Assistive Technologies.- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread.- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis.- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks.

“The trilogy is useful to either the specialized researcher seeking information on specific sub areas within these disciplines or the newcomer who seeks to get involved in these disciplines. … I warmly congratulate the editors for their superb work. I highly and wholeheartedly recommend the trilogy to professors, graduate students, practitioners and other specialists in artificial intelligence-based technologies and assistive technologies, and to general readers, all of whom, I am sure, will benefit greatly from it in their research endeavor.” (Du Zhang, Intelligent Decision Technologies, Vol. 16 (1), 2022)

• Chapter 1: Introduction To Advances In Assistive Technologies.- Chapter 2: Applications of AI in Healthcare and Assistive Technologies.- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread.- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis.- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks.

“The trilogy is useful to either the specialized researcher seeking information on specific sub areas within these disciplines or the newcomer who seeks to get involved in these disciplines. … I warmly congratulate the editors for their superb work. I highly and wholeheartedly recommend the trilogy to professors, graduate students, practitioners and other specialists in artificial intelligence-based technologies and assistive technologies, and to general readers, all of whom, I am sure, will benefit greatly from it in their research endeavor.” (Du Zhang, Intelligent Decision Technologies, Vol. 16 (1), 2022)

• Chapter 1: Introduction To Advances In Assistive Technologies.- Chapter 2: Applications of AI in Healthcare and Assistive Technologies.- Chapter 3: Machine Learning and Finite Element Methods in Modeling of COVID-19 spread.- Chapter 4: Learning Paradigms for Neural Networks for Automated Medical Diagnosis.- Chapter 5: Human Fall Detection in Depth-Videos using Temporal Templates and Convolutional Neural Networks.