Concepts and real-time applications of deep learning / Smriti Srivastava, Manju Khari, Ruben Gonzalez Crespo, Gopal Chaudhary, Parul Arora, editors.
Srivastava, Smriti, editor.; Khari, Manju, editor.; Gonzalez Crespo, Ruben, editor.; Chaudhary, Gopal, editor.; Arora, Parul, editor.
2021
Q325.5 .C66 2021eb
Available Online

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Title Concepts and real-time applications of deep learning / Smriti Srivastava, Manju Khari, Ruben Gonzalez Crespo, Gopal Chaudhary, Parul Arora, editors.
ISBN 9783030761677 (electronic bk.)
3030761673 (electronic bk.)
9783030761660
3030761665
DOI https://doi.org/10.1007/978-3-030-76167-7
Published Cham : Springer, [2021]
Copyright ©2021
Language English
Description 1 online resource (x, 209 pages : illustrations (chiefly color))
Other Standard Identifiers 10.1007/978-3-030-76167-7 doi
Call Number Q325.5 .C66 2021eb
Dewey Decimal Classification 006.3/1
Summary This book provides readers with a comprehensive and recent exposition in deep learning and its multidisciplinary applications, with a concentration on advances of deep learning architectures. The book discusses various artificial intelligence (AI) techniques based on deep learning architecture with applications in natural language processing, semantic knowledge, forecasting and many more. The authors shed light on various applications that can benefit from the use of deep learning in pattern recognition, person re-identification in surveillance videos, action recognition in videos, image and video captioning. The book also highlights how deep learning concepts can be interwoven with more modern concepts to yield applications in multidisciplinary fields. Presents a comprehensive look at deep learning and its multidisciplinary applications, concentrating on advances of deep learning architectures; Includes a survey of deep learning problems and solutions, identifying the main open issues, innovations and latest technologies; Shows industrial deep learning in practice with examples/cases, efforts, challenges, and strategic approaches.
Note Includes index.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 7, 2021).
Added Author Srivastava, Smriti, editor.
Khari, Manju, editor.
Gonzalez Crespo, Ruben, editor.
Chaudhary, Gopal, editor.
Arora, Parul, editor.
Series EAI/Springer innovations in communication and computing.
Available in Other Form Print version: 9783030761660
Linked Resources Online Access
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Part I. Concepts of Deep Learning: Recognition Systems
Emotion Recognition from Speech Using Deep Neural Network
Text-Independent Speaker Recognition Using Deep Learning
A Qualitative and Quantitative Research of Machine Learning Algorithms for Gait Analysis and Recognition
Emotion Recognition from Speech Signals Using Machine Learning and Deep Learning Techniques
Micro-expression Detection Using Main Directional Maximal Differential Analysis (MDMD) Method
Part II. Concepts of Deep Learning: Healthcare Systems
Survival Prediction of Cancer Patient Using Machine Learning
Skin Lesion Segmentation Using Deep Convolutional Networks
Bone Cancer Survivability Prognosis with KNN and Genetic Algorithms
BeamAtt: Generating Medical Diagnosis from Chest X-Rays Using Sampling-Based Intelligence
Part III. Real-Time Applications of Deep Learning
CNN-Based Driver Drowsiness Detection System
Forecasting Using Deep Learning Approaches
A Low-Cost IOT and Deep Learning Enabled Precision Agriculture Support System for Indian Diverse Environment.

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