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Advances in Distributed Computing and Machine Learning

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Cover of 'Advances in Distributed Computing and Machine Learning'

Table of Contents

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    Book Overview
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    Chapter 1 Fog Computing Paradigm for Internet of Things: Architectures, Issues, Challenges, and Applications
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    Chapter 2 Security and Challenges for Blockchain Integrated Fog-Enabled IoT Applications
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    Chapter 3 MLP Deep Learning-based DDoS Attack Detection Framework for Fog Computing
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    Chapter 4 Active VM Placement Approach Based on Energy Efficiency in Cloud Environment
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    Chapter 5 Security Enhancement in Cloud Environment Using Modified Key-based Crypto Method
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    Chapter 6 RFID-Based Authentication Scheme for Secure Access of Medical Data in IoT-Enabled Health Environments
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    Chapter 7 FML Framework: Function-Triggered ML-as-a-Service for IoT Cloud Applications
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    Chapter 8 A New Approach for Processing Raster Geospatial Big Data in Distributed Environment
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    Chapter 9 An Efficient Service Selection Algorithm for Cloud Computing
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    Chapter 10 Transaction and QoS-Driven Composition of Web Services Using Modified Grey Wolf Optimization with TOPSIS and AHP
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    Chapter 11 Wireless Sensor Network Based Miner Localization in Underground Coal Mines
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    Chapter 12 Bacterial Forging Optimization-Based Clustering Protocol for Wireless Sensor Networks
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    Chapter 13 Deer Hunting Optimization-Enabled Multi-objective Range-Free Anchor-Based Localization in WSN
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    Chapter 14 A Fuzzy Logic-Based Trust Management Scheme for Wireless Sensor Network
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    Chapter 15 A Fuzzy Logic-Based Congestion Detection Technique for Vehicular Ad Hoc Networks
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    Chapter 16 Reinforcement Learning Based Routing in Software Defined Network
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    Chapter 17 Load Balancing for Network Resource Management in Software-Defined Networks
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    Chapter 18 A Survey on Layer 2 Solutions to Achieve Scalability in Blockchain
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    Chapter 19 Swift and Secure Medical Data Transaction
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    Chapter 20 Things-Aware Business Process Model
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    Chapter 21 An Uncertainty-Aware Cloud Service Selection Model Using CRITIC and MAUT
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    Chapter 22 A Graphical User Interface (GUI) Based Speech Recognition System Using Deep Learning Models
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    Chapter 23 Deep Learning Based Document Layout Analysis on Historical Documents
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    Chapter 24 Comparative Study of Deep Learning Approaches for Classification of Flares in Images
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    Chapter 25 Exploring SVM for Federated Machine Learning Applications
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    Chapter 26 Automated Resume Classification Using Machine Learning
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    Chapter 27 Analysis of Trend in COVID-19, World Vaccination and Its Side Effects Using Machine Learning
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    Chapter 28 Classifying Malware Represented as Assembly and Control Flow Graphs Using Ensemble Learning
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    Chapter 29 Molecular Classification of Cancer by Gene Expression Monitoring Using Ensemble Learning
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    Chapter 30 Plant Disease Detection Using CNN Through Segmentation and Balancing Techniques
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    Chapter 31 Investigation of BER Analysis Using NOMA Scheme Over Fading Channels
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    Chapter 32 Deep Learning in Image Classification: Its Evolution, Methods, Challenges and Architectures
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    Chapter 33 Classification of Precious and Non-precious Tweets Using Deep Learning
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    Chapter 34 A Deep Learning Approach to Image Splicing Using Depth Map
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    Chapter 35 Do Deep Learning Models and News Headlines Outperform Conventional Prediction Techniques on Forex Data?
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    Chapter 36 Brain Tumor Classification Using Modified AlexNet Network
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    Chapter 37 Code Injection Attacks Detection in Hybrid Applications Using CNN
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    Chapter 38 Real-Time Implementation of CNN-Based Face Mask Detection: A Method to Diminish the Risk of COVID-19
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    Chapter 39 Evaluating the Performance of Machine Learning Algorithms for Sentiment Prediction on Social Media Natural Language Text Data
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    Chapter 40 Estimating the Category of Districts in a State Based on COVID Test Positivity Rate (TPR): A Study Using Supervised Machine Learning Approach
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    Chapter 41 Single-Cell RNA Sequence Data Analysing Using Fuzzy de Based Clustering Technique
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    Chapter 42 Asymmetrically Weighted Cosine Similarity Measure for Recommendation Systems
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    Chapter 43 Crop Recommendation System Using Support Vector Machine Considering Indian Dataset
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    Chapter 44 Assessing the Performance and Suitability of FPGAs as Hardware Accelerator for Software Programmers
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    Chapter 45 Teaching Learning-Based Optimization Model to Generate Software Test Cases
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    Chapter 46 Optimizing Hyperparameters for Improvement in Software Vulnerability Prediction Models
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    Chapter 47 Information Cascading Using Classification Approach of Link Prediction
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    Chapter 48 A Duplex Method for Classification of Parkinson’s Disease Using Data Reduction Techniques
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    Chapter 49 Comprehensive Forecasting-Based Analysis Using Hybrid and Stacked Stateful/Stateless Models
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    Chapter 50 Investigating the Volumetric Biomarkers of Alzheimer Disease: A State-of-the Art Review
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    Chapter 51 Performance Analysis of Image Retrieval Method Using Quantized Bins of Color Histogram
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    Chapter 52 Attention Is All You Need to Tell: Transformer-Based Image Captioning
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    Chapter 53 Analysis of MRI and SPECT Image Fusion in the Wavelet Domain for Brain Tumor Detection
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    Chapter 54 Gamma Noise Removal Using High Order Total Bounded Variation Approach
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    Chapter 55 Directional Radial Median-Local Binary Pattern (DRM-LBP): A Noise-invariant Descriptor in Pose Variations
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    Chapter 56 Average Image Hashing-Based Tamper Detection and Localization Using Fragile Watermarking
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    Chapter 57 Analysis of Multifeatured Threshold Filtered-Based Real-Time Video Segmentation and Tracking in Video Surveillance
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    Chapter 58 Comparative Analysis of Object Detection Algorithms
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    Chapter 59 Comparative Performance of Machine Learning Algorithms in Detecting Offensive Speech in Malayalam-English Code-Mixed Data
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    Chapter 60 Ablation Analysis of Seq2Seq Models and Vanilla Transformers for Spanish to English Translation
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    Chapter 61 A Novel Smart Data Collection Approach in UAV-Enabled Smart Transportation System
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Title
Advances in Distributed Computing and Machine Learning
Published by
Springer Nature Singapore, June 2022
DOI 10.1007/978-981-19-1018-0
ISBNs
978-9-81-191017-3, 978-9-81-191018-0
Editors

Rout, Rashmi Ranjan, Ghosh, Soumya Kanti, Jana, Prasanta K., Tripathy, Asis Kumar, Sahoo, Jyoti Prakash, Li, Kuan-Ching

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