Editors: Om Praksh Jena, Alok Ranjan Tripathy, Brojo Kishore Mishra, Ahmed A. Elngar

Series Title: Advances in Computing Communications and Informatics

Augmented Intelligence: Deep Learning, Machine Learning, Cognitive Computing, Educational Data Mining

Volume 3

eBook: US $59 Special Offer (PDF + Printed Copy): US $100
Printed Copy: US $71
Library License: US $236
ISSN: 2737-5722 (Print)
ISSN: 2737-5730 (Online)
ISBN: 978-981-5040-41-8 (Print)
ISBN: 978-981-5040-40-1 (Online)
Year of Publication: 2021
DOI: 10.2174/97898150404011220301


Augmented intelligence is an alternate approach of artificial intelligence (AI), which emphasizes AI’s assistive role. Augmented intelligence enhances human skills of reasoning in a robotic system or software by simulating expectancy, educational mining, problem solving, recollection, sequencing, and decision-making capabilities. It is based on a combination of techniques such as machine learning, deep learning and cognitive computing.

This book explains artificial intelligence models that support assistive processes in different situations.

The contributors aim to provide information to a diverse audience with groundbreaking developments in mathematical computing.

The book presents 8 chapters on these topics:

  • - Educational data mining in augmented reality virtual learning environment
  • - Brain and computer interfaces
  • - Tree-based tools for chemometric analysis of infrared spectra
  • - Applications of deep learning in medical engineering
  • - Bankruptcy prediction model using an enhanced boosting classifier
  • - Reputation systems for mobile agent security
  • - The crow search algorithm
  • - COVID-19 diagnosis and treatment

The contents attempt to integrate various facets of augmented Intelligence, by describing recent research developments and advanced topics of interest to academicians and researchers working on machine learning problems and AI.

Audience: Academicians and researchers working on machine learning problems and AI.


Augmented intelligence is an alternate approach to artificial intelligence (AI), which emphasizes on AI’s assistive role, underlining the fact that cognitive technology is intended to improve human intelligence instead of replacing it. It enhances human skills of reasoning in a robotic system or software, including expectancy, educational Mining, and problem solving, recollection & sequencing, and decision-making capabilities. With the collaboration of Machine Learning, Deep Learning and Cognitive Computing it can be highly implemented technologies in the near future. It can overcome the human limitations that hinder effective research. This AI layer complements knowledge workers’ efforts and allows them to essentially automate or drastically reduce the time devoted to low-value tasks, while focusing more on higher impact issues. Augmented Intelligence can eliminate time-consuming tasks, freeing up teams to focus on higher value analysis.

There are many research problems which are NP-Complete. Being a research fellow, one has to provide an optimal solution to the hard-to-solve problems in different sectors of optimization problems. For such needs, this book will give helpful insight while identifying problem statements and then the idea to develop time-optimal strategies for such unresolved issues. This book is also helpful to write articles on various issues which involve Augmented Intelligence based on ML, DL, Cognitive Computing and its various applications in real life scenario. They can grab the opportunity from this book to devolve some new algorithms, models, patents based on Augmented Intelligence to design more robust, efficient, accurate models.

This book will be able to define the model which supports Knowledge Discovery, educational model design, self-learned system, logical reasoning, virtual learning, social network analysis, etc.

Om Prakash Jena & Alok Ranjan Tripathy
Department of Computer Science
Ravenshaw University

Brojo Kishore Mishra
Department of CSE
GIET University, Gunupur
Odisha 765022

Ahmed A. Elngar
Faculty of Computers & Artificial Intelligence
Department of Computer Science
Beni-Suef University, Beni-Suef