Welcome to AIIoT 2023

International Conference on Artificial Intelligence and IoT (AIIoT 2023)

August 12-13, 2023, Virtual Conference

Accepted Papers
A Review on Diagnosis of Schizophrenia Using Various Machine Learning Techniques

Rajesh I S, Madhumitha V, D Sri Lakshmi Priya, Shreyas Sreenivas, BMS Institute of Technology and Management, Bangalore, India


Schizophrenia, a chronic psychotic disorder, is a very challenging disease for doctors for prediction as it involves a series of tests and event analysis for understanding the brain activity. Having reports such as MRI scans, Pet scans and EEG signal data of the patient is one of the most important requirements for analysis of the brain activity during such tasks. Since it involves huge amounts of data that corresponds to defining relationships between different parts of the brain, there is a need for technology interference for data visualization and understanding. This leads to bringing in the power of machine learning models that helps in resolving the complexities using mathematical models for better understanding of the correlations in the data features and to assist in predicting the disease. This paper provides an insight on Schizophrenia and various machine learning models built in various research conducted all over the world for diagnosis of the disease.


Schizophrenia, Machine learning, EEG signals, MRI scans, PET scans

Towards Responsible Use of Generative Ai: Regulatory Frameworks and Key Challenges

Jonathan Luckett, College of Business, Innovation, Leadership, and Technology, Marymount University, United States of America


Artificial Intelligence (AI) has become an essential part of our lives, from the smartphones we use to the industries that provide us with goods and services. As AI technology advances, its impact on society and the economy is growing rapidly. The rapid growth of AI raises significant concerns about safety, privacy, security, and ethical issues. This paper examines the AI regulations and challenges that exist today, particularly in the United States. I will examine the rise of ChatGPT and conclude with some policy considerations and recommendations for federal agencies.


Artificial Intelligence, Generative AI, ChatGPT

Guitar Tuition in Australian Higher Education: Consequences of Employing a Global Perspective

Daniel A Lee, University of Tasmania, Australia


An ethnographic study conducted at an Australian university examined the curriculum design and pedagogical practices of Bachelor Degree Contemporary Popular Music (CPM) courses (n=25) delivered by Australian tertiary institutions. The study investigated participants’ perceptions of the potential presence of course design objectives, including eLearning and engaging with eResources via 21st century telecommunications. These objectives were explored for pedagogic value regarding the safeguarding of intangible cultural heritage in the form of an Australian cultural ‘voice’ in local, glocal and global popular music guitar communities and industry. Inductive thematic analysis of three datasets in the form of surveys, interviews and documents generated five themes. This paper presents and discusses the theme ‘Global Spectra’ which demonstrated the presence of a global perspective among course designers and educators. The discussion addresses the role of online communities and social media in 21st century music education. Findings include the presence of World music in the curricula, and engagement with information technologies, influences the performance practices of graduates. The paper concludes by claiming there are un-known cultural, aesthetic, and pedagogic risks taken when embracing global perspectives via the implementation of advances in telecommunications.


Popular Music Education, Higher Music Education, Globalisation, Intangible Cultural Heritage, Online Resources.