Data Science : Theory, Algorithms, and Applications / edited by Gyanendra K. Verma, Badal Soni, Salah Bourennane, Alexandre C. B. Ramos.

Format:

Book

Contributor:

Verma, Gyanendra K., Editor.

Soni, Badal., Editor.

Bourennane, Salah., Editor.

Ramos, Alexandre C. B., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Transactions on computer systems and networks 2730-7492

Transactions on Computer Systems and Networks, 2730-7492

Language:

English

Subjects (All):

Machine learning.

Artificial intelligence.

Multimedia systems.

Machine Learning.

Artificial Intelligence.

Multimedia Information Systems.

Local Subjects:

Machine Learning.

Artificial Intelligence.

Multimedia Information Systems.

Physical Description:

1 online resource (XXVII, 437 pages) : 239 illustrations, 166 illustrations in color.

Edition:

1st ed. 2021.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2021.

System Details:

text file PDF

Summary:

This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and raised the performance bar substantially in many of the standard evaluations. Moreover, new multi-modal challenges are tackled, which older systems would not have been able to handle. However, it is very difficult to comprehend, let alone guide, the process of learning in deep neural networks, there is an air of uncertainty about exactly what and how these networks learn. By the end of the book, the readers will have an understanding of different deep learning approaches, models, pre-trained models, and familiarity with the implementation of various deep learning algorithms using various frameworks and libraries.

Contents:

A Deep Learning Technique for Real-Time Active Car Tracking with Quadrotor Luiz Gustavo Miranda Pinto, Wander Mendes Martins and Alexandre Carlos Brandão Ramos (Federal University of Itajuba - Unifei, Brazil)

On fusion of NIR and VW information for cross-spectral iris matching Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran and Pawan Dubey (National Institute of Technology Delhi, Delhi, India)

Spark Enhanced Framework for Medical Phrase Embedding using Deep Neural Network Amol Bhopale and Ashish Tiwari (Visvesvaraya National Institute of Technology, Nagpur, India)

Performance Analysis of big.LITTLE System with various Branch Prediction Schemes Froila Rodrigues and Nitesh Guinde (Goa College of Engineering, Farmagudi, Ponda , GoaIndia)

Two-stage Credit Scoring Model based on Evolutionary Feature Selection and Ensemble Neural Networks Diwakar Tripathi, Damodar Reddy Edla, Annushri Bablani and Venkatanareshbabu Kuppili (Madanapalle Institute of Technology and Science, Madanapalle, A.P., India)

Image Processing and Deep Learning for Drone Autonomous Indoor Flight Pedro Lucas de Brito, Wander Mendes Martins and Alexandre Carlos Brandão Ramos Federal University of Itajuba - Unifei, Brazil)

Sensitivity Analysis of Multi Objective Fractional Programming using Genetic Algorithm Debasish Roy (IIT, Kharagpur, India).

Other Format:

Printed edition:

ISBN:

978-981-16-1681-5

9789811616815

Access Restriction:

Restricted for use by site license.