Emerging technologies in data mining and information security. Proceedings of IEMIS 2020. Volume 1 / Aboul Ella Hassanien [and four others], editors.

Format
Book
Language
English
Published/​Created
  • Singapore : Springer, [2021]
  • ©2021
Description
1 online resource (972 pages)

Details

Subject(s)
Editor
Series
  • Advances in intelligent systems and computing ; 1286. [More in this series]
  • Advances in Intelligent Systems and Computing ; 1286
Source of description
Description based on print version record.
Contents
  • 498518_1_En_OFC
  • 498518_1_En_BookFrontmatter_OnlinePDF
  • Preface
  • Contents
  • About the Editors
  • 498518_1_En_1_PartFrontmatter_OnlinePDF
  • Computational Intelligence
  • 498518_1_En_1_Chapter_OnlinePDF
  • Mathematical Modelling and Analysis of Walters Liquid Motion with Brownian Diffusion
  • 1 Introduction
  • 2 Mathematical Formulation
  • 3 Method of Solution
  • 4 Results and Discussion
  • 5 Conclusion
  • References
  • 498518_1_En_2_Chapter_OnlinePDF
  • Modelling of Two-Phase Fluid Flow Over a Stretching Sheet and Its Numerical Investigation
  • 2 Mathematical Formulation of the Problem
  • 5 Conclusions
  • 6 Nomenclature
  • 498518_1_En_3_Chapter_OnlinePDF
  • Boundary Layer Flow and Its Dual Solutions Over a Stretching Cylinder: Stability Analysis
  • 3 Stability Analysis
  • 498518_1_En_4_Chapter_OnlinePDF
  • Towards a Conceptual Modelling of Ontologies
  • 2 Related Work
  • 3 Conceptual Modelling of Ontology
  • 4 Conclusion
  • 498518_1_En_5_Chapter_OnlinePDF
  • Mathematical Modelling of Power Law Fluid Flow Through a Pipe and Its Rheology
  • 2 Mathematical Formulation of the Flow Analysis
  • 498518_1_En_6_Chapter_OnlinePDF
  • NeurolncRNA: A Database of LncRNAs Associated with Human Neurodegenerative Diseases
  • 2 Materials and Methods
  • 2.1 Data Extraction from Literature
  • 2.2 Retrieval of Sequence Information of the lncRNAs
  • 2.3 Extraction of Sequence-Based Features of the Collected lncRNAs
  • 2.4 Methodology of Development
  • 3 Results and Discussion.
  • 3.1 Categorization of lncRNAs and their Literature Details
  • 3.2 Different Sequence-Based Features of lncRNAs
  • 4 Conclusion and Future Scope
  • 498518_1_En_7_Chapter_OnlinePDF
  • Affective State Analysis Through Visual and Thermal Image Sequences
  • 2 Design of the Experiment
  • 3 Emotion Classification
  • 3.1 First Network: Face Detection
  • 3.2 Second Network: Emotion Classification
  • 4 Negative Affect Recognition
  • 4.1 Training the HMM
  • 4.2 Clustering of Emotion Sequences
  • 5 Experimental Results
  • 6 Conclusion
  • 498518_1_En_8_Chapter_OnlinePDF
  • An Ensemble Deep Learning Method for Diabetes Mellitus
  • 2 Related Works
  • 3 Dataset Description
  • 4 Proposed Methodology
  • 5 Results and Discussions
  • 6 Conclusion and Future Direction
  • 498518_1_En_9_Chapter_OnlinePDF
  • Memory Fluid Flow Past a Vertical Circular Cylinder and Its Energy Transfer
  • 498518_1_En_10_Chapter_OnlinePDF
  • A Comparative Study on Financial Market Forecasting Using AI: A Case Study on NIFTY
  • 2 Preliminaries
  • 2.1 Auto-Regressive Integrated Moving Average (ARIMA)
  • 2.2 Facebook's PROPHET
  • 2.3 Support Vector Regression (SVR)
  • 2.4 Recurrent Neural Network (RNN)
  • 3 Methodology
  • 3.1 Data Pre-processing
  • 4 Experimental Approach
  • 5 Result Analysis
  • 5.1 Root Mean Square Error (RMSE)
  • 5.2 Mean Absolute Percentage Error (MAPE)
  • 5.3 R2
  • 498518_1_En_11_Chapter_OnlinePDF
  • Hydromagnetic Oscillatory Couette Flow of a Visco-Elastic Fluid with Dust in a Channel with Radiative Heat
  • 5 Conclusion.
  • 498518_1_En_12_Chapter_OnlinePDF
  • Hard Exudates Detection: A Review
  • 2 Literature Review
  • 3 Conclusion
  • 498518_1_En_13_Chapter_OnlinePDF
  • Analysis of Visco-elastic Fluid Flow Over an Inclined Cylinder: A Numerical Approach
  • 2 Mathematical Formulations
  • 498518_1_En_14_Chapter_OnlinePDF
  • Convolution Neural Network-Driven Computer Vision System for Identification of Metanil Yellow Adulteration in Turmeric Powder
  • 2 Experimentation
  • 2.1 Sample Preparation
  • 2.2 Image Acquisition
  • 2.3 CNN Model
  • 3 Results and Discussion
  • 498518_1_En_15_Chapter_OnlinePDF
  • Identification of Biologically Relevant Biclusters from Gene Expression Dataset of Duchenne Muscular Dystrophy (DMD) Disease Using Elephant Swarm Water Search Algorithm
  • 2 Problem Description
  • 2.1 Biclustering
  • 2.2 Initial Population
  • 2.3 Cost Function
  • 3 Proposed Method
  • 3.1 Elephant Swarm Water Search Algorithm (ESWSA)
  • 3.2 Chaotic Move Elephant Swarm Water Search Algorithm (CM-ESWSA)
  • 4 Numerical Experiment
  • 4.1 Analysis of the Results on Benchmark Functions
  • 4.2 Convergence Analysis
  • 4.3 Statistical Testing
  • 4.4 Results on Real Life Problem
  • 498518_1_En_16_Chapter_OnlinePDF
  • Shadow Detection Using DenseUNet
  • 2 A Brief Review of Shadow Detection
  • 3.1 Intuition
  • 3.2 Basic UNet Architecture
  • 3.3 DenseUNet Architecture
  • 3.4 Preprocessing of Shadow Images
  • 3.5 Training
  • 4 Results and Discussions
  • 4.1 Testing
  • 4.2 Comparison to the State of the Art
  • 4.3 Failure Cases
  • 498518_1_En_17_Chapter_OnlinePDF.
  • Map Merging for an Autonomous Multi-robotic System
  • 2 Proposed Method
  • 2.1 Map-Merging Characteristics and Its Adaptation
  • 2.2 The Map-Merging Method
  • 3 Map Merging and Degrees of Freedom: A Mathematical Analysis
  • 4 Demonstration of the Map-Merging Process
  • 498518_1_En_18_Chapter_OnlinePDF
  • On Some Basic Graph Invariants of Unitary Addition Cayley Graph of Gaussian Integers Modulo n
  • 3 Some Properties of Gaussian Integers
  • 4 Clique Number and Chromatic Number of Gn[i]
  • 5 Domination Number of Gn[i]
  • 498518_1_En_19_Chapter_OnlinePDF
  • A Brief Survey of Token Curated Registries
  • 2 TCR and It's Working
  • 2.1 Consumers
  • 2.2 Candidates
  • 2.3 Token Holders
  • 2.4 The Incentive System of Token Curated Registries
  • 3 Types of TCRs
  • 3.1 TCR Classification Based on Design Pattern
  • 3.2 TCR Classification Based on Data
  • 3.3 TCR Classification Based on Implementation Metrics
  • 4 Advantages of TCR
  • 5 Applications or Use Cases of TCR
  • 5.1 Journalism
  • 5.2 Regulatory
  • 5.3 Ocean Protocol
  • 5.4 Deconet
  • 5.5 Advertising
  • 5.6 Medical
  • 5.7 Userfeeds.io
  • 5.8 Mapping
  • 5.9 Video
  • 5.10 Real Estate
  • 5.11 Employment
  • 6 TCR'S Open Challenges and Their Existing Solutions
  • 6.1 Chicken-Egg Problem
  • 6.2 Passive Token Holding/Speculation
  • 6.3 Coin-Flipping
  • 6.4 Parametric Issues
  • 6.5 Order/Ranking in TCRs
  • 6.6 Subjective Curation
  • 6.7 Economic Attacks
  • 6.8 Spam Attack
  • 6.9 Registry Poisoning
  • 6.10 Real Time Coordination Problem
  • 6.11 Publicly Available Data
  • 6.12 Nesting of TCRs
  • 7 Conclusion and Future Work
  • 498518_1_En_20_Chapter_OnlinePDF
  • Comparative Study of Effective Augmentation Method for Bangla ASR Using Convolutional Neural Network.
  • 3.1 Data Collection
  • 3.2 Data Augmentation
  • 3.3 CNN Architecture
  • 3.4 Linear Predictive Cepstral Coefficients (LPCC)
  • 3.5 Mel-Frequency Cepstral Coefficients (MFCC)
  • 4.1 Effect of Augmentation in LPCC Model
  • 4.2 Effect of Augmentation in MFCC Model
  • 4.3 Overall Evaluation
  • 498518_1_En_21_Chapter_OnlinePDF
  • A Novel Human Activity Recognition Strategy Using Extreme Learning Machine Algorithm for Smart Health
  • 3.1 Feature Extraction
  • 3.2 The Conventional ELM
  • 3.3 Proposed Ensemble ELM
  • 4 Experimental Setup
  • 5 Results
  • 498518_1_En_22_Chapter_OnlinePDF
  • Ranking Countries by Perception of Indigenous Companies: A Social Media Rank Metric
  • 1.1 Problem Statement
  • 1.2 Solution Proposed
  • 2 Existing Research
  • 3 Data and Resources Used
  • 3.1 GADM, the Database of Global Administrative Areas
  • 3.2 Forbes Global 2000
  • 3.3 Twitter Search API
  • 4 Methodology Adopted
  • 4.1 Technologies Used
  • 4.2 Obtaining List of Companies Under Consideration from Forbes Global 2000
  • 4.3 Collection of Relevant Tweets
  • 4.4 Use of Vader Sentiment Library
  • 4.5 Statistical Manipulation and Analysis
  • 5 Calculations Done
  • 6 Results
  • 7 Conclusion
  • 8 Shortcomings
  • 498518_1_En_23_Chapter_OnlinePDF
  • AIDE-AI and IoT-Enabled Home Automation for Disabled and Elderly
  • 3 Proposed Design
  • 4 Methodology
  • 4.1 Glove
  • 4.2 Hub
  • 4.3 AI Agent
  • 4.4 Mobile Application
  • 498518_1_En_25_Chapter_OnlinePDF.
  • Synthesizing Uniform Concentric Circular Array Antenna for Minimized Sidelobes Using Teaching-Learning-Based Optimization Algorithm.
ISBN
981-15-9927-0
OCLC
1259677959
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