Enabling machine learning applications in data science : proceedings of Arab Conference for Emerging Technologies 2020 / / Aboul Ella Hassanien [and three others] editors

• Record Nr.: UNINA9910484221903321
• Pubbl/distr/stampa: Gateway East, Singapore : , : Springer, , [2021]; ©2021
• ISBN: 981-336-129-8
• Descrizione fisica: 1 online resource (392 pages)
• Collana: Algorithms for Intelligent Systems
• Disciplina: 006.31
• Soggetti: Machine learning; Aprenentatge automàtic; Intel·ligència artificial; Congressos; Llibres electrònics
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: Intro -- Preface -- Contents -- About the Editors -- Part I Machine Learning and Intelligent Systems Applications -- 1 Who Is Typing? Automatic Gender Recognition from Interactive Textual Chats Using Typing Behaviour -- 1 Introduction -- 2 Background and Related Work -- 3 The Data -- 4 The Approach -- 4.1 Feature Extraction -- 4.2 Classification -- 5 Results and Discussion -- 5.1 Classification Results -- 5.2 Identification of Gender Makers -- 6 Conclusion -- References -- 2 An Efficient Framework to Build Up Heart Sounds and Murmurs Datasets Used for Automatic Cardiovascular Diseases Classifications -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 3.1 Dataset Logical Structure -- 3.2 Mobile Application and Database Design -- 3.3 Composition Stethoscope -- 4 Conclusion -- References -- 3 Facial Recognition and Emotional Expressions Over Video Conferencing Based on Web Real Time Communication and Artificial Intelligence -- 1 Introduction -- 2 WebRTC -- 2.1 WebRTC Client-Side -- 2.2 WebRTC Server-Side -- 3 Machine Learning -- 3.1 Machine Learning Models Examples -- 3.2 Machine Learning Libraries Examples ; -- 4 Implementation -- 4.1 Network Topology -- 4.2 Deployment -- 4.3 Results and Observations -- 5 Conclusion and Future Work -- References -- 4 Recent Advances in Intelligent Imaging Systems for Early Prediction of Colorectal Cancer: A Perspective -- 1 Introduction -- 2 Epidemiology of Colorectal Cancer -- 2.1 Current Trends in Incidence and Mortality of Colorectal Cancer -- 2.2 Etiology of Colorectal Cancer -- 3 Medical Diagnostic Procedures for Screening of Colorectal Cancer -- 4 Necessity for Early Prediction of Colorectal Cancer -- 5 Challenges in Early Detection of Colorectal Cancer -- 6 Analysis of Intelligent Medical Imaging Techniques for Early Detection of Colorectal Cancer -- 6.1 Collection of CRC Frames.; 6.2 Preprocessing -- 6.3 Intelligent Training Engine for Polyp Detection -- 6.4 Performance Evaluation -- 7 Discussion and Future Directions -- 8 Conclusion -- References -- 5 Optimal Path Schemes of Mobile Anchor Nodes Aided Localization for Different Applications in IoT -- 1 Introduction -- 2 Mobility Based Localization Model in WSN -- 3 Static Unknown Nodes, Mobile Anchor Nodes Class -- 3.1 Mobile Anchor Paths -- 4 Comparative Analysis -- 5 Conclusions -- References -- 6 Artificial Intelligence in 3D Printing -- 1 Introduction -- 2 Background and Basic Concepts -- 2.1 Additive Manufacturing (AM) -- 2.2 Artificial Intelligence (AI) -- 2.3 Machine Learning (ML) -- 3 Artificial Intelligence Applications in 3D Printing -- 3.1 Original Printability Checker -- 3.2 Improvement by ML -- 3.3 Further Developments -- 3.4 Slicing Acceleration -- 3.5 Path Optimization -- 3.6 Further Developments -- 3.7 Service Platform and Evaluation -- 3.8 Cloud Service Platform -- 3.9 Service Evaluation -- 3.10 Further Developments -- 3.11 Attack Detection -- 3.12 Further Developments -- 4 Conclusion -- References -- 7 Finding Suitable Threshold for Support in Apriori Algorithm Using Statistical Measures -- 1 Introduction -- 2 Background of Association Rules Mining -- 2.1 Process Association Rules Mining -- 2.2 Statistical Measures -- 3 Proposed Approach -- 4 Experiment Study -- 4.1 Reduction of a Number of Rules -- 4.2 The Running Time Analysis -- 4.3 The Quality of the Extracted Rules -- 5 Conclusion -- References -- 8 Optimum Voltage Sag Compensation Strategies Using DVR Series with the Critical Loads -- 1 Introduction -- 2 DVR Operation Characteristics -- 3 Tests and Results -- 3.1 Load Side Voltage Sag Protection -- 3.2 Load Side Voltage Swell Protection -- 4 Conclusion -- References -- 9 Robust Clustering Based Possibilistic Type-2 Fuzzy C-means for Noisy Datasets.; 1 Introduction -- 2 Materials and Methods -- 2.1 A Brief Review of the Baseline Methods -- 2.2 Discussion -- 3 Improved Possibilistic Type-2 Fuzzy C-means Clustering-Based Cluster Forests (IP-T2-FCM-CF) -- 4 Evaluation of the Proposed IP-T2-FCM-CF Algorithm -- 4.1 Experiments Setup -- 4.2 Experimental Results -- 4.3 Results' Discussion -- 5 Conclusion -- References -- 10 Wind Distributed Generation with the Power Distribution Network for Power Quality Control -- 1 Introduction -- 2 DG Installation Based on Voltage Stability -- 2.1 Analyzing of Active and Reactive Power Flow -- 3 Wind Energy Conversion with the Power System -- 3.1 Output Power and Compensation of Wind Generation -- 3.2 Wind Generation Control -- 4 Simulation and Discussion -- 5 Conclusion -- References -- 11 Implementation of Hybrid Algorithm for the UAV Images Preprocessing Based on Embedded Heterogeneous System: The Case of Precision Agriculture -- 1 Introduction -- 2 Precision Agriculture: Application and Algorithms -- 3 Image Processing in Precision Agriculture -- 3.1 Challenge and Proposed Method -- 4 Deblurring Algorithms -- 4.1 Blind Approach -- 4.2 Non-blind Approach -- 4.3 Deblurring Algorithms -- 5 Proposed Work -- 6 Results and Discussion -- 7 ; Conclusion and Perspectives -- References -- 12 SLAM Algorithm: Overview and Evaluation in a Heterogeneous System -- 1 Introduction -- 2 SLAM: Overview and Approach -- 3 Evaluation and Result -- 4 Conclusion -- References -- 13 Implementing big OLAP Cubes using a NoSQL-Based approach: Cube models and aggregation operators -- 1 Introduction -- 2 State of the Art -- 3 Contribution -- 3.1 Background -- 3.2 Approach Overview -- 3.3 First Approach -- 3.4 Second Approach -- 4 Implementation -- 4.1 Experiments Setting -- 4.2 Result and Evaluation -- 5 Conclusion -- References.; 14 Multi-objective Quantum Moth Flame Optimization for Clustering -- 1 Introduction -- 2 The Quantum-Behaved MFO (Q-MFO) -- 2.1 Moth Flame Optimization (MFO) -- 2.2 Quantum-Behaved MFO (QMFO) -- 3 Multi-Objective QMFO (MOQMFO) -- 4 MOQMFO for Clustering -- 5 MOQMFO Flowchart -- 6 Experiments -- 6.1 Datasets -- 6.2 Scenario -- 6.3 Results and Discussion -- 7 Conclusion and Perspectives -- References -- 15 On Optimizing the Visual Quality of HASM-Based Streaming-The Study the Sensitivity of Motion Estimation Techniques for Mesh-Based Codecs in Ultra High Definition Large Format Real-Time Video Coding -- 1 Introduction -- 2 Literature Review -- 3 Mesh Generation Techniques -- 3.1 Ordinal Three Step Search -- 3.2 Leap Three Step Search -- 3.3 Grid Three Step Search -- 3.4 Diamond Three Step Search -- 4 Experimental Results and Discussion -- 4.1 Video Sequences -- 4.2 Experimental Results -- 4.3 Discussion -- 5 Conclusion -- References -- 16 Rough Sets Crow Search Algorithm for Inverse Kinematics -- 1 Introduction -- 2 Rough Crow Search Algorithm for Inverse Kinematics -- 2.1 The Crow Search Algorithm -- 2.2 The Rough Searching Scheme -- 2.3 The Rough Crow Search Algorithm -- 3 The Forward Kinematics Model of Kuka-Kr16 -- 4 Experimental Analysis -- 4.1 Comparative Results -- 4.2 Non-parametric Statistical Analyses -- 5 Discussion and Perspectives -- References -- 17 Machine Learning for Predicting Cancer Disease: Comparative Analysis -- 1 Introduction -- 2 Background -- 3 Machine Learning: Review of Literature -- 3.1 Artificial Neural Network (ANN) -- 3.2 Support Vector Machine (SVM) -- 3.3 K-Nearest Neighbor Algorithm (KNN) -- 4 Discussion and Analysis -- 5 Conclusion and Future Works -- References -- 18 Modeling and Performance Evaluation of LoRa Network Based on Capture Effect -- 1 Introduction -- 2 Related Work -- 3 LoRa Overview.; 3.1 LoRa Physical Layer -- 3.2 LoRaWAN -- 3.3 LoRa Network Architecture -- 4 Model Scenario and Problem Statement -- 5 Markov Model -- 5.1 Performance Parameters for Unbacklogged Packets -- 5.2 Performance Parameters for Backlogged Packets -- 5.3 Finding the Social Optimum -- 6 Numerical Results -- 7 Conclusion and Perspectives -- References -- Part II Deep Learning Applications -- 19 ESwish Beta: Modifying Swish Activation Function for Deep Learning Improvement -- 1 Introduction -- 2 Related Works -- 3 ESwish Beta -- 4 Experiments and Results -- 4.1 MNIST Dataset -- 4.2 CIFAR 10 Dataset -- 4.3 CIFAR 100 Dataset -- 5 Conclusion -- References -- 20 Online Arabic Handwriting Recognition Using Graphemes Segmentation and Deep Learning Recurrent Neural Networks -- 1 Introduction -- 2 Arabic Script Specificity -- 3 Related Work -- 4 System Overview -- 4.1 Preprocessing -- 4.2 Baseline Detection and Grapheme Segmentation -- 4.3 Feature Extraction -- 4.4 Sequence Recognition -- 5 Experimental Results -- 5.1 Dataset -- 5.2 Results and Discussion -- 5.3 Comparison with the State of the Art -- 6 Conclusion -- References -- 21 On the Application of Real-Time Deep Neural Network for Automatic License Plate Reading from Sequence of Images Targeting Edge Artificial Intelligence Architectures -- 1 Introduction -- ; 2 Data Collection and Annotation -- 2.1 Annotation Types -- 2.2 Annotation Formats -- 2.3 Annotation Tool -- 3 Traning Models -- 3.1 Single-Shot Detector (SSD) -- 3.2 Faster Region-Based Convolution Neural Networks (Faster R-CNN) -- 3.3 Yolo -- 4 Optimization Hyperparameters -- 4.1 Learning Rate -- 4.2 Batch Size -- 4.3 Epochs -- 5 Experimental Setup -- 6 Results and Discussions -- 7 Conclusion and Future Work -- References -- 22 Localization of Facial Images Manipulation in Digital Forensics via Convolutional Neural Networks -- 1 Introduction.; 2 Related Work.