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Advances in Computing and Data Sciences

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Table of Contents

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    Book Overview
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    Chapter 1 Hardware Description Language Enhancements for High Level Synthesis of Hardware Accelerators
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    Chapter 2 CrDrcnn: Design and Development of Crow Optimization-Based Deep Recurrent Neural Network for Software Defect Prediction
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    Chapter 3 Text Sentiment Analysis Using the Bald Eagle-Based Bidirectional Long Short-Term Memory
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    Chapter 4 Comparison of Multiple Machine Learning Approaches and Sentiment Analysis in Detection of Spam
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    Chapter 5 A Voice Assisted Chatbot Framework for Real-Time Implementation in Medical Care
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    Chapter 6 Robust Vehicle Detection for Highway Monitoring Using Histogram of Oriented Gradients and Reduced Support Vector Machine
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    Chapter 7 A Secure Framework Based on Nature-Inspired Optimization for Vehicle Routing
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    Chapter 8 Detection of Bangla Hate Comments and Cyberbullying in Social Media Using NLP and Transformer Models
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    Chapter 9 A Modified Pyramid Scale Network for Crowd Counting
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    Chapter 10 Driving Impact in Claims Denial Management Using Artificial Intelligence
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    Chapter 11 Identification of Landslide Vulnerability Zones and Triggering Factors Using Deep Neural Networks – An Experimental Analysis
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    Chapter 12 Classifying Offensive Speech of Bangla Text and Analysis Using Explainable AI
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    Chapter 13 Android Malware Detection Using Hybrid Meta-heuristic Feature Selection and Ensemble Learning Techniques
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    Chapter 14 Scoring Scheme to Determine the Sensitive Information Level in Surface Web and Dark Web
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    Chapter 15 Video Descriptor Using Attention Mechanism
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    Chapter 16 Informative Software Defect Data Generation and Prediction: INF-SMOTE
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    Chapter 17 2D-CNN Model for Classification of Neural Activity Using Task-Based fMRI
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    Chapter 18 Real-Time Multi-task Network for Autonomous Driving
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    Chapter 19 Cardiovascular Disease Classification Based on Machine Learning Algorithms Using GridSearchCV, Cross Validation and Stacked Ensemble Methods
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    Chapter 20 Human Emotion Recognition from Body Posture with Machine Learning Techniques
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    Chapter 21 A Body Area Network Approach for Stroke-Related Disease Diagnosis Using Artificial Intelligence with Deep Learning Techniques
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    Chapter 22 Accelerating the Performance of Sequence Classification Using GPU Based Ensemble Learning with Extreme Gradient Boosting
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    Chapter 23 Automated Vehicle Number Recognition Scheme Using Neural Networks
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    Chapter 24 Noise Prediction Using LIDAR 3D Point Data - Determination of Terrain Parameters for Modelling
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    Chapter 25 Block Based Resumption Techniques for Efficient Handling of Unsuccessful Loads in Data Warehouse
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    Chapter 26 Augmentations: An Insight into Their Effectiveness on Convolution Neural Networks
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    Chapter 27 A Comprehensive Analysis of Linear Programming in Image Processing
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    Chapter 28 Machine Learning Based Approaches to Detect Loan Defaulters
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    Chapter 29 Quantifying Nodes Trustworthiness Using Hybrid Approach for Secure Routing in Mobile Ad Hoc Networks
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    Chapter 30 Medical Ultrasound Image Segmentation Using U-Net Architecture
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    Chapter 31 Rule Based Medicine Recommendation for Skin Diseases Using Ontology with Semantic Information
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    Chapter 32 FRAMS: Facial Recognition Attendance Management System
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    Chapter 33 American Sign Language Gesture Analysis Using TensorFlow and Integration in a Drive-Through
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    Chapter 34 Performance Analysis of Optimized ACO-AOMDV Routing Protocol with AODV and AOMDV in MANET
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Title
Advances in Computing and Data Sciences
Published by
Springer International Publishing, July 2022
DOI 10.1007/978-3-031-12638-3
ISBNs
978-3-03-112637-6, 978-3-03-112638-3
Editors

Singh, Mayank, Tyagi, Vipin, Gupta, P. K., Flusser, Jan, Ören, Tuncer

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