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Advances in Information, Communication and Cybersecurity

Overview of attention for book
Advances in Information, Communication and Cybersecurity
Springer International Publishing

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Adaptive Learning Algorithms and Platforms: A Concise Overview
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    Chapter 2 A Minimum and Maximum of Regional Information Method to Improve the Sobel Edge Detector
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    Chapter 3 Hybrid Mammogram Segmentation Using Watershed and Region Growing
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    Chapter 4 Human Activity Recognition Using Stacked LSTM
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    Chapter 5 Optimized Influencers Profiling from Social Media Based on Machine Learning
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    Chapter 6 Natural Language Processing Based Approach to Overcome Arabizi and Code Switching in Social Media Moroccan Dialect
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    Chapter 7 Towards a New Lexicon-Based Features Vector for Sentiment Analysis: Application to Moroccan Arabic Tweets
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    Chapter 8 Enhanced Word Embeddings with Sentiment Contextualized Vectors for Sentiment Analysis
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    Chapter 9 Arabic Topic Modeling-Based Sentiment Analysis on COVID-19 Feedback Comments
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    Chapter 10 Parallel Feature Selection Approaches for High Dimensional Data: A Survey
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    Chapter 11 Metadata Quality in the Era of Big Data and Unstructured Content
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    Chapter 12 Weather Forecast Using Sliding Window Algorithm Based on Hadoop and MapReduce
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    Chapter 13 Semantic Web Technologies for Internet of Things Semantic Interoperability
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    Chapter 14 Composition of Large Modular Ontologies Based on Structure
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    Chapter 15 Detection and Prediction Using Similar Trajectory Measurements
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    Chapter 16 Classification of Arrhythmias from ECG Using Fractal Dimensions and Wavelet Theory
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    Chapter 17 Benchmarking Classification Algorithms for Measuring the Performance on Maintainable Applications
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    Chapter 18 Application of Machine Learning Techniques for Credit Risk Management: A Survey
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    Chapter 19 Applying Advanced IoT Network Topologies to Enhance Intelligent City Transportation Cost Based on a Constrained and Secured Applicative IoT CoAP Protocol
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    Chapter 20 Applying Lightweight Elliptic Curve Cryptography ECC to Smart Energy IoT Platforms Based on the CoAP Protocol
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    Chapter 21 Service Selection in Cloud Computing Environment by Using Cuckoo Search
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    Chapter 22 Markov Decision Processes with Discounted Rewards: Improved Successive Over-Relaxation Method
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    Chapter 23 Speech Spectral Subtraction in Modulation Domain
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    Chapter 24 COBIT 5 Concepts: Towards the Development of an Ontology Model
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    Chapter 25 A Systematic Study on Tertiary Level Student Tuition Fee Waiver Management During Pandemic Using Machine Learning Approaches
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    Chapter 26 Towards a Model of Self-regulated e-learning and Personalization of Resources
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    Chapter 27 The Preferences and Expectation of Moroccan Teachers from Learning Analytics Dashboards in a Blended Learning Environment: Empirical Study
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    Chapter 28 Towards a Smart City Stakeholders Classification: Case of Casablanca Smart City Project
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    Chapter 29 Emerging Learning Environments and Technologies Post Covid-19 Pandemic: What’s Next?
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    Chapter 30 What Drives Digital Library User’s Satisfaction Behavior? Investigating the Level and Its Determinants
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    Chapter 31 Managing Individual Online Learning Experience: The Roles of Perceived Engagement and Perceived Performance
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    Chapter 32 Consumer’s Organic Food Buying Intention in COVID-19 Pandemic: Evidence from Vietnam
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    Chapter 33 Students’ Performance and Engagement in Discrete Mathematics Online Learning During COVID-19 Pandemic
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    Chapter 34 A Smart Health Monitoring Application for Patients to Improve Health
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    Chapter 36 An Artificial Neural Network-Based System to Predict Cardiovascular Disease
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    Chapter 37 Hybrid Machine and Deep Transfer Learning Based Classification Models for Covid 19 and Pneumonia Diagnosis Using X-ray Images
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    Chapter 38 Applying Advanced IoT Network Topologies to Optimize COVID-19 Sanitary Passport Platform Based on CoAP Protocol
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    Chapter 39 An Approach Based on Multi-agent and Artificial Immune Algorithm for the Vehicle Routing Problem in Home-Health Care
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    Chapter 40 Ontology-Based Machine Learning to Predict Diabetes Patients
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    Chapter 41 Automatic Static Vulnerability Detection Approaches and Tools: State of the Art
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    Chapter 42 Machine Learning Techniques for Intrusion Detection in SDN: A Survey
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    Chapter 43 A Suricata and Machine Learning Based Hybrid Network Intrusion Detection System
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    Chapter 44 Experimental Study on the Effectiveness of Machine Learning Methods in Web Intrusion Detection
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    Chapter 45 A Review of Indoor Positioning Systems (IPS) and Their Different Use-Cases
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    Chapter 47 A Study of Connection Speeds in Transport Layer Security Version 1.3 (TLS 1.3) Using Different Handshake Modes
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    Chapter 48 Robust Secret Share to Reinforce the Security of IBE’s Master Key
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    Chapter 49 Single Sign-On Revocation Access
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    Chapter 50 New Way to Enumerate Large Quadratic Residue Codes Based on Hash and Automorphism Group
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    Chapter 51 Two-Stage Pipelining Implementation of the Secure Hash Algorithm SHA-3 on Virtex-5 and Virtex-6 FPGAs
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    Chapter 52 Securing MQTT Architecture Using a Blockchain
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    Chapter 53 The Human Factor Capabilities in Security Operation Center (SOC)
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    Chapter 54 A Systematic Review on Software Defined Networks Security: Threats and Mitigations
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    Chapter 55 Correction to: Ontology-Based Machine Learning to Predict Diabetes Patients
Attention for Chapter 36: An Artificial Neural Network-Based System to Predict Cardiovascular Disease
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Citations

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Chapter title
An Artificial Neural Network-Based System to Predict Cardiovascular Disease
Chapter number 36
Book title
Advances in Information, Communication and Cybersecurity
Published by
Springer, Cham, January 2022
DOI 10.1007/978-3-030-91738-8_36
Book ISBNs
978-3-03-091737-1, 978-3-03-091738-8
Authors

Bihri, Hayat, Nejjari, Rachid, Azzouzi, Salma, Charaf, My El Hassan

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Professor > Associate Professor 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 1 25%
Engineering 1 25%
Unknown 2 50%

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