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.


- Pp. i
Om Prakash Jena, Alok Ranjan Tripathy, Brojo Kishore Mishra, Ahmed A. Elngar
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List of Contributors

- Pp. ii-iii (2)

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Integrating Educational Data Mining in Augmented Reality Virtual Learning Environment

- Pp. 1-18 (18)
Carlos Ankora, D. Aju*
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Brain and Computer Interface

- Pp. 19-45 (27)
Kuldeep Singh Kaswan*, Jagjit Singh Dhatterwal
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Potential Use of Tree-based Tools for Chemometric Analysis of Infrared Spectra

- Pp. 46-67 (22)
Lucas A.C. Minho*, Bárbara E.A. de Magalhães, Alexandre G.M. de Freitas
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Applications of Deep Learning in Medical Engineering

- Pp. 68-99 (2)
Sumit Kumar Jindal*, Sayak Banerjee, Ritayan Patra, Arin Paul
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Bankruptcy Prediction Model Using an Enhanced Boosting Classifier based on Sequential Backward Selector Technique

- Pp. 100-130 (31)
Makram Soui*, Nada Namani Zitouni, Salima Smiti, Kailash Kumar, Ahmad Aljabr
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Detecting Ballot Stuff Collusion Attack in Reputation System for Mobile Agents Security

- Pp. 131-148 (18)
Priyanka Mishra*
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Crow Search Algorithm: A Systematic Review

- Pp. 149-180 (32)
Ali Aloss, Barnali Sahu*, Om Prakash Jena
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The Quantitative and Qualitative Assessment of Re-Search Conducted Using Computational Intelligence for the Diagnosis or Treatment of COVID-19

- Pp. 181-212 (32)
Mallikarjun Kappi*, Madhu S., Balabhim Sankrappa Biradar, B.U. Kannappanavar
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Subject Index

- Pp. 213-222 (10)
Om Praksh Jena, Alok Ranjan Tripathy, Brojo Kishore Mishra, Ahmed A. Elngar
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