This book covers key areas of mathematics and computer science. The contributions by the authors include artificial intelligence, social theory integration, educational equity, Nepal living standards survey, onboarding, newcomers, four C's model, the onion model, YOU tool, GeoGebra software, constructivist learning, mathematical understanding, deep learning model, body mass index, convolutional neural networks, ultrasound imaging, diagnostic accuracy, metabolic dysfunction, steatotic liver disease, associative algebras, Nilpotency index, Nagata-Higman theorem, polynomial identity, Chua chaotic system, pseudo-random number generator, hardware implementation, security applications, image processing algorithms, cloud platform, correlational values, fractional pharmacokinetic models, one-compartment systems, drug dynamics, personalising learning experiences, input–process–output, automated decision systems, socio-ethical considerations, semiconductor manufacturing, defect detection, vision transformers, generative adversarial networks, variational autoencoders. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.
Editor(s)
Dr. Xingting Wang
Louisiana State University, USA.
Short Biosketch
ISBN 978-93-88417-76-1 (Print)
ISBN 978-93-88417-17-4 (eBook)
DOI: https://doi.org/10.9734/bpi/mcsru/v8
This book covers key areas of mathematics and computer science. The contributions by the authors include artificial intelligence, social theory integration, educational equity, Nepal living standards survey, onboarding, newcomers, four C's model, the onion model, YOU tool, GeoGebra software, constructivist learning, mathematical understanding, deep learning model, body mass index, convolutional neural networks, ultrasound imaging, diagnostic accuracy, metabolic dysfunction, steatotic liver disease, associative algebras, Nilpotency index, Nagata-Higman theorem, polynomial identity, Chua chaotic system, pseudo-random number generator, hardware implementation, security applications, image processing algorithms, cloud platform, correlational values, fractional pharmacokinetic models, one-compartment systems, drug dynamics, personalising learning experiences, input–process–output, automated decision systems, socio-ethical considerations, semiconductor manufacturing, defect detection, vision transformers, generative adversarial networks, variational autoencoders. This book contains various materials suitable for students, researchers, and academicians in the fields of mathematics and computer science.
Media Promotion:
Chapters
Comparative Models of Newcomer Integration for Organisational Adoption
Eman Hussein Ali, Samia Abdalhamid
Explainable Artificial Intelligence and Social Theory Integration for Advancing Educational Equity in Nepal
Anmol Adhikari, Vivek Kumar Sinha
Enhanced Deep Learning Model for Accurate and Automated Detection of Hepatic Steatosis
A. Sahaya Mercy, G. Arockia Sahaya Sheela
Classification of Associative Algebras Satisfying Quadratic Polynomial Identities
Josimar da Silva Rocha
Analysing Image Processing Algorithms Using Correlational Values within the Cloud Platform
Faizur Rashid, Gavendra Singh, Jemal Abate
Fractional Pharmacokinetic Models in One-compartment Systems
Hemlata Saxena
Hardware Implementation and Optimisation of a Chaotic-Chua-Based Pseudo-Random Number Generator for Security Applications
Rim Amdouni, Mohamed Ali Hajjaji
Ethical Artificial Intelligence in Education: A Southern African Input–Process–Output (IPO) Governance Framework
Mfanelo Ntsobi, Bongani June Mwale, Kholekile Ntsobi