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Key Digital Trends in Artificial Intelligence and Robotics

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Cover of 'Key Digital Trends in Artificial Intelligence and Robotics'

Table of Contents

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    Book Overview
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    Chapter 1 A Study Review of Neural Audio Speech Transposition over Language Processing
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    Chapter 2 DCNN Based Disease Prediction of Lychee Tree
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    Chapter 3 MEVSS: Modulo Encryption Based Visual Secret Sharing Scheme for Securing Visual Content
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    Chapter 4 Analysis of Bangla Transformation of Sentences Using Machine Learning
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    Chapter 5 Towards a Novel Machine Learning and Hybrid Questionnaire Based Approach for Early Autism Detection
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    Chapter 6 Bi-RNN and Bi-LSTM Based Text Classification for Amazon Reviews
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    Chapter 7 Resource Utilization Tracking for Fine-Tuning Based Event Detection and Summarization Over Cloud
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    Chapter 8 Automatic Fake News Detection: A Review Article on State of the Art
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    Chapter 9 Cascaded 3D V-Net for Fully Automatic Segmentation and Classification of Brain Tumor Using Multi-channel MRI Brain Images
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    Chapter 10 Computing Physical Stress During Working Shift with Deep Neural Networks
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    Chapter 11 Trend Prediction in Finance Based on Deep Learning Feature Reduction
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    Chapter 12 A Preliminary Study on AI for Telemetry Data Compression
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    Chapter 13 On the Use of Multivariate Medians for Nearest Neighbour Imputation
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    Chapter 14 Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks
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    Chapter 15 Voronoi Diagram-Based Approach to Identify Maritime Corridors
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Title
Key Digital Trends in Artificial Intelligence and Robotics
Published by
Springer International Publishing, May 2023
DOI 10.1007/978-3-031-30396-8
ISBNs
978-3-03-130395-1, 978-3-03-130396-8
Editors

Troiano, Luigi, Vaccaro, Alfredo, Kesswani, Nishtha, Díaz Rodriguez, Irene, Brigui, Imene, Pastor-Escuredo, David

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