توضیحاتی در مورد کتاب Decision Intelligence Solutions: Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 2 (Lecture Notes in Electrical Engineering, 1080)
نام کتاب : Decision Intelligence Solutions: Proceedings of the International Conference on Information Technology, InCITe 2023, Volume 2 (Lecture Notes in Electrical Engineering, 1080)
عنوان ترجمه شده به فارسی : راه حل های اطلاعاتی تصمیم گیری: مجموعه مقالات کنفرانس بین المللی فناوری اطلاعات ، تحریک 2023 ، جلد 2 (یادداشت های سخنرانی در مهندسی برق ، 1080)
سری :
نویسندگان : Nitasha Hasteer (editor), Seán McLoone (editor), Manju Khari (editor), Purushottam Sharma (editor)
ناشر : Springer
سال نشر : 2023
تعداد صفحات : 388
ISBN (شابک) : 9819959934 , 9789819959938
زبان کتاب : English
فرمت کتاب : pdf
حجم کتاب : 11 مگابایت
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فهرست مطالب :
Preface
Contents
About the Editors
Dual Band Open Slot and Notch Loaded Bandwidth Enhanced Microstrip Patch Antenna for IoT/WiMAX/WLAN Applications
1 Introduction
2 Antenna Design
3 Design Specifications and Proposed Geometry
4 Procedure of Antenna Design
5 Results and Discussion
6 Conclusion
References
Carbon Nanotubes as Interconnects: A Short Review on Modelling and Optimization
1 Introduction
2 Literature Reviews on Carbon Interconnect
3 Conclusions
References
AutoML Based IoT Application for Heart Attack Risk Prediction
1 Introduction
2 Proposed System Architecture
3 Methodology Auto ML
4 Results
5 Conclusion
References
An Overview of Security Issues in IoT-Based Smart Healthcare Systems
1 Introduction
2 Literature Review
3 Discussion
3.1 Attacks on Smart Health System’s Security
3.2 Attack’s Classification
4 Conclusion
References
Continuous Integration and Continuous Deployment (CI/CD) Pipeline for the SaaS Documentation Delivery
1 Introduction
2 Background of Software Solution Delivery Workflow
2.1 Lack of Proper Product Technical Documentation for SaaS Customization
3 What is CI/CD Pipeline Approach?
3.1 CI/CD Code and Manual Doc Approach
3.2 Help as a Service (HaaS)
3.3 Measuring Success
4 Research Methodology
4.1 Requirement Gathering and Analysis
5 CI/CD Documentation by Example
5.1 Objectives and Key Results
5.2 Build Automation Workflow
5.3 Configure Build Automation Workflow
6 An Experimental Study Using the CI/CD Pipeline
6.1 Result of the Testing Exercise
7 Conclusions
References
Secure & Trusted Framework for Cloud Services Recommendation-A Systematic Review
1 Introduction
2 Related Work
3 SWOT Analysis of Secure and Trusted Framework (STF) for Cloud Services Recommendations
3.1 Strengths of STF
3.2 Weakness of STF
3.3 Opportunities of STF
3.4 Threats of STF
3.5 This Review Paper Will Be Trying to Answer Some of the Research Questions(RQs)
4 Conclusion
5 Future Work
References
Time-Series Based Prediction of Air Quality Index Using Various Machine Learning Models
1 Introduction
2 Related Work
3 Methodology
3.1 Data Description and Pre-processing
3.2 Model Optimization and Training
3.3 Performance Evaluation Metrics
4 Experimental Result and Discussion
5 Conclusion
References
The Development of Internet of Things Skills to Enhance Youth Employability in Developing Countries: A Systematic Literature Review
1 Introduction
2 Background and Motivation for the Study
3 Research Method
4 Discussion of Findings
4.1 Job Opportunities Available for the Youth
4.2 Skills for the Youth to Adopt
4.3 Recommendations for Developing IoT Skills in Youth
5 Conclusion
References
Investigating Robotic Process Automation Adoption in South African Banking
1 Introduction
2 Literature Review
2.1 Background
2.2 Case Studies of RPA Implementations Specifications
3 Research Model
3.1 Propositions
3.2 Research Approach
4 Data Analysis
4.1 Data Analysis Technique
4.2 Participant Demographics
4.3 Thematic Analysis
5 Discussion
5.1 Technology
5.2 Organisation
5.3 Environment
6 Conclusion
6.1 Recommended Further Research
References
Calculation of Polarization Conversion Ratio (PCR) of Proposed Polarization Conversion Metamaterials (PCM) is Employed in Reduction of RCS Using AI Techniques for Stealth Technology
1 Introduction
2 PCM Unit Cell Design
3 Artificial Neural Networks
4 Data Collection
4.1 Training Data of PCM
4.2 ANN Trained Model
5 Validation of Linear Regression Medium Neural Network (LRMNN)
6 Result
7 Conclusion
References
A Mobile Application for Currency Denomination Identification for Visually Impaired
1 Introduction
2 Related Work
3 Proposed Method for Currency Identification
3.1 Significant Feature Point Generation
3.2 Development of Feature Point Descriptors
3.3 Feature Point Matching
3.4 Mobile App
4 Results and Performance Evaluation
5 Conclusions and Future Work
References
Deep Belief Network Algorithm-Based Intrusion Detection System in Internet of Things Environments
1 Introduction
2 Related Work
3 Proposed System
3.1 Deep Belief Network (DBN)
3.2 K Nearest Neighbor
3.3 Intrusion Detection System
4 Result and Discussion
4.1 Environmental Setup
4.2 Validation Dataset (Sec)
4.3 Accuracy (%)
4.4 Mathew Correlation Coefficient (%)
5 Conclusion
References
Crop Classification Based on Multispectral and Multitemporal Images Using CNN and GRU
1 Introduction
2 Existing Systems
3 Proposed System Design
4 Proposed Methodology
4.1 Dataset
4.2 Data Preprocessing
4.3 Data Augmentation
4.4 Data Standardization
4.5 Train and Test Data Split
5 Model Architecture
5.1 Flow Diagram
5.2 2D CNN Layer
5.3 Group Normalization Layer
5.4 GRU Layer
5.5 Linear Layer
6 Results and Comparison
6.1 Performance Metrics
6.2 Training and Validation Results
6.3 Results Comparison
7 Conclusion and Future Work
References
An IoT-based Arduino System for Client Health Monitoring & Interpretation on Account of Basic Essential Markers
1 Introduction
2 Related Work
3 Proposed Work
4 Experimental Results
4.1 Assessment of Quasi Temperature Mercury Thermometer and Sensor Components (MLX90614) for Bodily Temperature Readings (FI01)
4.2 For Those with Respiratory Disease, a Comparison of the MLX90614 Detectors’ Measurements of Internal Temperature with a Quasi-Infrared Camera (F101)
4.3 A Comparison of the MLX90614 Sensors’ Measurements of Core Body Temperature with a Quasi-infrared Camera for Asthmatic Patients (F101). A Subsection Sample
5 Conclusions
References
A Blockchain Based System for Product Tracing and Tracking in the Supply Chain Management
1 Introduction
2 Literature Survey
3 Methodology
3.1 System Design
3.2 System Implementation
4 Results and Discussion
5 Conclusion and Future Work
References
Deadline Laxity and Load Imbalance Analysis for Energy Efficient Greedy, Semi-Greedy and Random Fog Scheduling
1 Introduction
2 Related Work and Objective
3 Simulation Set-Up
4 Performance Metrics
5 Results and Discussion
6 Conclusion
References
Survey on the Effectiveness of Traffic Sign Detection and Recognition System
1 Introduction
2 Traffic Sign and Dataset
3 Sign Detection and Recognition
4 Performance Evalution of the TSDR
5 Challenges in Accurate Tsdr
6 Conclusion
References
Detection of Ductal Carcinoma Using Restricted Boltzmann Machine and Autoencoder (RBM-AE) in PET Scan
1 Introduction
2 Literature Survey
3 Materials and Methods
3.1 Restricted Boltzmann Machine (RBM) for Image Extraction
3.2 Autoencoder (AE) for Detection
4 Materials and Methods
4.1 Synthetically Generated PET Scan and Data Normalization
4.2 Image Extraction Using RBM
4.3 Detection of Malignant and Benign Tumors Using Autoencoder
5 Experimentation and Results
5.1 Experimentation Setup
5.2 Results and Discussion
6 Conclusion
References
Novel Approach for Network Anomaly Detection Using Autoencoder on CICIDS Dataset
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Computer Model
3.2 CICIDS-2017 Dataset
3.3 Proposed Workflow
4 Performance Evaluation
5 Result and Discussion
6 Conclusion and Future Scope
References
Predictive Analysis of Road Accidents Using Data Mining and Machine Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Defining Problem Statement
3.2 Data Collection
3.3 Data Cleaning and Preprocessing
3.4 Data Analysis (on Various Identified Parameters)
3.5 Building Prediction Model
3.6 Model Validation, Accuracy Test and Monitoring
4 Building Prediction Model
4.1 Parameter Identification
4.2 Model Training
4.3 Prediction Using Linear Regression
4.4 Prediction Using Random Forest
5 Results and Discussions
5.1 Analytical Observations
5.2 Prediction Result
6 Conclusion
References
Digital Shopping Cart with Automatic Billing System
1 Introduction
2 Literature Review
3 Methodology
3.1 Existing System
4 Flowchart
5 Method
6 Results and Discussions
7 Future Scope
8 Conclusion
References
Analysis of Automated Music Generation Systems Using RNN Generators
1 Introduction
2 Literature Review
3 Methodology
3.1 Artificial Intelligence
3.2 Deep Learning
3.3 Recurrent Neural Networks (RNN’s)
3.4 Long Short Term (LSTM)
3.5 Architecture of LSTM
3.6 Description
4 Results and Discussions
5 Conclusion and Future Scope
References
Differential Evolution Image Contrast Enhancement Using Clustering
1 Introduction
2 Differential Evolution Algorithm
3 Related Work
4 Proposed Method
5 Preciseness of Proposed Method
6 Experiment and Results
6.1 Comparison
7 Conclusion
References
Smart Traffic Monitoring System
1 Introduction
2 Related Works
3 Proposed Methodology
4 Implementation
5 Result and Analysis
6 Conclusion
References
Intelligent Waste Bot Using Internet of Things and Deep Learning for a Smart City
1 Introduction
2 Method
3 Results and Discussion
3.1 Training Dataset
3.2 Data Estimation of the Sensor
4 Conclusion
References
Effect of Climate Change on Soil Quality Using a Supervised Machine Learning Algorithm
1 Introduction
2 Climate and Soil Database
2.1 Methods and Techniques
3 Implementation of Techniques/Experiment Work
3.1 Holt Winter’s Method
3.2 Mean Absolute Percentage Error (MAPE)
3.3 First Derivative of Soil Sample
3.4 Machine Learning Algorithms for Soil Analysis
4 Conclusion
References
Human Eye Fixations Prediction for Visual Attention Using CNN - A Survey
1 Introduction
1.1 Visual Saliency
1.2 Significance
2 Related Works
2.1 Saliency- Heuristic and Learning Based Models
2.2 Deep Learning-Based Saliency Models
3 Visual Saliency Prediction Datasets
4 Evaluation Metrics of Visual Saliency
5 Comparison of Different Models in Prediction
6 Qualitative Analysis on Deep Learning Models
7 Future Enhancements
8 Conclusion
References
Comparative Analysis of Control Schemes for Fuel Cell System
1 Introduction
2 PEM Fuel Cell Model
3 Boost Converter Design
4 PID Controller Design
5 Simulation Results
6 Conclusion
References
A Comparative Review on Channel Allocation and Data Aggregation Techniques for Convergecast in Multichannel Wireless Sensor Networks
1 Introduction
2 Channel Allocation and Aggregation Role in Covergecast
3 Literature Work
3.1 Multi Channel MAC Related Work
3.2 Energy Efficiency Through Data Aggregation Related Work
4 Comparative Analysis of Scheduling Techniques
5 Conclusion and Future Work
References
Design of Hybrid Energy Storage System for Renewable Energy Sources
1 Introduction
1.1 Background
1.2 Characteristics of Storage Devices
2 System Design and Modelling
2.1 Fly Back Converter Design
3 Simulations and Results
3.1 Fly Back Converter
4 Hardware Implementation
5 Conclusion
References
Efficient Net V2 Algorithm-Based NSFW Content Detection
1 Introduction
2 Literature Review
3 Methodology
3.1 Research Gap Identification
3.2 Objectives of the Research
4 Implementation and Analysis
4.1 The Efficient Net V2M Algorithm
4.2 The Efficient Net V2L Algorithm
4.3 The CNN Algorithm
5 Result and Discussion
6 Conclusion and Future Scope
References
A Survey of Green Smart City Network Infrastructure
1 Introduction
2 Sustainable Smart City
3 Energy Saving Strategies
3.1 Energy Saving in Smart Cities
3.2 Machine Learning Based Power Saving
3.3 Case Studies
4 Observations
5 Discussions
6 Conclusion and Future Work
References
Leveraging Machine Learning Algorithms for Fraud Detection and Prevention in Digital Payments: A Cross Country Comparison
1 Introduction
2 Digital Payments Frauds Landscape: Pre and Post Covid 19
3 Digital Payments Fraud Statistics and Practices Adopted: Cross Country Comparison
3.1 European Payments Fraud Statistics
3.2 UK Payments Fraud Statistics
3.3 US Payments Fraud Statistics
3.4 Asia Pacific (APAC) Payments Fraud Statistics
4 Application of Machine Learning Algorithms for Fraud Detection and Prevention
5 Algorithm for Fraud Detection
6 Conclusion and Recommendations
References
Automatic Data Generation for Aging Related Bugs in Cloud Oriented Softwares
1 Introduction
2 Related Work
3 Research Methodology
3.1 Aging Related Keywords
3.2 Software Metrics
4 Datasets
4.1 Experimental Setup
5 Results
6 Threats to Validity
7 Summary
8 Future Work
References