Augmented intelligence. Deep learning machine learning cognitive computing Educational data mining. Volume 3. / Om Prakash Jena [and three others].

Format:

Book

Author/Creator:

Jena, Om Prakash, author.

Series:

Advances in Computing Communications and Informatics

Language:

English

Subjects (All):

Data mining.

Deep learning (Machine learning).

Soft computing.

Physical Description:

1 online resource (236 pages)

Edition:

First edition.

Place of Publication:

Singapore : Bentham Science Publishers Pte. Ltd., [2022]

Summary:

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.

Contents:

Augmented Intelligence: Deep Learning Machine Learning Cognitive Computing Educational Data Mining: Volume 3

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Includes bibliographical references.

ISBN:

9789815040401

9815040405

OCLC:

1342501156