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ویرایش: نویسندگان: R. Asokan (editor), Diego P. Ruiz (editor), Zubair A. Baig (editor), Selwyn Piramuthu (editor) سری: ISBN (شابک) : 9811933103, 9789811933103 ناشر: Springer سال نشر: 2022 تعداد صفحات: 589 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 18 مگابایت
در صورت تبدیل فایل کتاب Smart Data Intelligence: Proceedings of ICSMDI 2022 (Algorithms for Intelligent Systems) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب هوشمندی داده های هوشمند: مجموعه مقالات ICSMDI 2022 (الگوریتم های سیستم های هوشمند) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
Preface Contents About the Editors 1 Detection and Analysis of Sentiments on Twitter Using Machine Learning Algorithm 1 Introduction 2 Literature Review 3 Data Retrieval 3.1 Data Description 3.2 Implementation and Procedure for Data Collection 4 Important Field of Intensifying Scrutiny 4.1 Emotion Detection 4.2 Building Resources 4.3 Transfer Learning 5 Intensifying Scrutiny Approach 5.1 Machine Learning Approach 5.2 Lexicon-Based Approach 5.3 Hybrid-Based Approach 6 IS Model and Procedure 7 Comparison of Existing Approaches 8 Results and Discussion 9 Conclusion and Future Scope References 2 Malware Attack Detection on IoT Devices Using Machine Learning 1 Introduction 2 Analysis of Mirai Traffic 3 Methodology 4 Result Analysis 5 Conclusion References 3 BeSafe: IoT-Based Safety Band 1 Introduction 2 Background Study 3 Working Principle 3.1 Flow of Proposed Application 3.2 Flow of Proposed Band 3.3 Flow When APP and Band Are Connected 4 Implementation 4.1 Hardware Features 4.2 Software Features 5 Conclusion 6 Future Scope References 4 Stock Market Analysis and Forecasting with Statistical and Deep Learning Methods 1 Introduction 2 Dataset 3 Methodology 3.1 Statistical Approach Without Exogenous Feature 3.2 Statistical Approach with Exogenous Feature 3.3 Deep Learning Approach 3.4 Facebook’s Prophet 4 Forecasting with LSTM for Next 365 Days 4.1 Forecast for Reliance Stock Price 4.2 Forecast for Tech Industry 4.3 Forecast for Finance Industry 5 Conclusion References 5 The Paradigm Shift in Higher Education from Traditional Learning to Digitalization 1 Introduction 2 Literature Review 3 Research Methodology 4 Results and Discussions 5 Conclusion References 6 Designing a Socially Intelligent System by Cognitive Modeling of Human-Environment Interaction 1 Introduction 2 Literature Survey 3 Challenges in Representing a Socially Aware Intelligent System 3.1 Data Collection 3.2 Semantic Extraction 3.3 Intelligent Knowledge Mining 3.4 Refinement Through Reinforcement Learning 4 Proposed Framework for Socially Intelligent Systems 4.1 Data Preparation 4.2 Semantic Extraction 4.3 Model Development 5 Conclusion References 7 Web-Based Recycle Waste Management for E-commerce 1 Introduction 2 Current and Previous Similar Research Papers 3 Result and Discussion 4 Conclusion References 8 Efficacy of TCP/IP Over ATM Architecture Using Network Slicing in 5G Environment 1 Introduction 2 Literature Review 3 Methodology 4 Results and Discussion 5 Conclusion References 9 Malware Detection Using Machine Learning Techniques 1 Introduction 2 Proposed Approach 3 Data Collection and Processing of Data Based on the Given Datasets 4 Discussion of Machine Learning Techniques 5 Convolutional Neural Network 5.1 Input Layer or Convolution Layer 5.2 Hidden Layer 5.3 Output Layer 6 Batch Normalization and Regularization 7 Random Forest Classifier 7.1 Decision Tree Classifier Algorithm 7.2 Justification of Choosing Random Forest Algorithm 7.3 Comparison of Algorithms 7.4 Justification of Python 8 Malware Detection Framework Architecture 9 Results 10 Conclusion References 10 Empirical Asset Pricing via Deep Learning Algorithms 1 Introduction 2 Related Work 3 Data Preprocessing 4 Empirical Methods 4.1 Vanilla Neural Network 4.2 Recurrent Neural Networks and Long Short-Term Memory 5 Results 6 Conclusion References 11 Defense Against Adversarial Attacks Using Chained Dual-GAN Approach 1 Introduction 2 Existing Adversarial Attack Techniques 2.1 White-Box Attacks 2.2 Black-Box Attacks 2.3 Gray-Box Attacks 3 Existing Defense Approaches 3.1 Gradient Masking 3.2 Robust Optimization 3.3 Adversarial Example Detection 4 Closely Related Works to Proposed Approach 4.1 PixelDefend 4.2 Defense-GAN 4.3 APE-GAN 4.4 MagNet 5 Research Gaps 5.1 Gradient Masking Methods Are Not Safe 5.2 Robust Optimization Does not Work Well Against New Attacks 5.3 Limited or only Partial Provable Defense 5.4 Very Few Generalized Defenses 6 Proposed Approach: Chained Dual-GAN Based Perturbation Minimizer 6.1 Theoretical Design 6.2 Advantages of This Approach over Previous Approaches 7 Future Scope and Conclusion 7.1 Future Scope 7.2 Conclusion References 12 Anomaly Detection System and Resolution of Anomalies for Firewall Policies 1 Introduction 2 Preliminaries 2.1 Firewall Policies 2.2 Anomalies 3 Architecture 3.1 Anomaly Resolution Algorithms 4 Firewall Policy Representation 5 Results and Discussion 6 Conclusion and Future Work References 13 A Survey on Traffic Sign Recognition, Pedestrian Detection Techniques, and Vehicle Detection Techniques for Autonomous Vehicles 1 Introduction 2 Related Work 2.1 Traffic Sign Recognition 2.2 Pedestrian Detection 2.3 Vehicle Detection 3 Algorithms 3.1 Convolutional Neural Network 4 Pedestrian Detection Techniques 4.1 Histogram of Oriented Gradients Feature Descriptor 4.2 Support Vector Machine Classifier 4.3 Pedestrian Detection by Using Deep Network Cascades 5 Vehicle Detection Techniques 5.1 Hungarian Algorithm with Kalman Filter for Multiple Vehicle Detection 5.2 Kalman Filter Algorithm 6 Conclusion References 14 EctroS-ID: A Mobile Application for Power Management 1 Introduction 2 Related Previous Similar Research Papers 3 TCP/IP and Push and Pull Services 4 Proposed Ideas 5 Conclusion References 15 Cryptanalysis of RFID Mutual Authentication Protocol for IoT 1 Introduction 1.1 Related Work 1.2 Motivation and Contribution 1.3 The Structure of the Paper 2 Mathematical Preliminaries 2.1 Notations 2.2 Elliptic Curve Cryptography 2.3 Computational Hard Problem 3 Review of Alamr et al. ch15SC Framework 3.1 Initialization Phase 3.2 Authentication Phase 4 Cryptanalysis of Alamr et al. Framework 4.1 Tag Anonymity 4.2 Reader Anonymity 4.3 Denial of Service (DoS) Attacks 4.4 Clock Synchronization Problem 4.5 Fails in Traceability 4.6 Guessing Attack 4.7 Fail in Protection to Agreement Key 5 Suggestion Improvement for Alamr et al. Framework 6 Conclusion and Future Work References 16 NLP-Oriented Voice-Based Order Picking System in a Warehouse Management: A Systematic Review 1 Introduction 2 Literature Review 2.1 Voice Picking System 2.2 Natural Language Processing 3 Conclusion and Discussion References 17 Regular Expression-Based Text Classification Using mSVM and Machine Learning Techniques 1 Introduction 2 Literature Survey 3 Proposed System Design 4 Algorithm Design 5 Results and Discussion 6 Conclusion References 18 Authentication Using Typing Pattern 1 Introduction 1.1 Survey Conducted 1.2 Results and Inferences 1.3 Literature Survey 2 System Description 2.1 Components 3 Results and Analysis 3.1 Data Description 3.2 Performance Metrics 3.3 Statistical Tests 4 Conclusion 5 Limitations References 19 Deep Learning Aided Digitization of Indian Music Treatises 1 Introduction 2 Analysis of the Problem 3 Literature Review 4 Methodology of the Proposed Work 4.1 Scan the Book 4.2 Machine Translation 4.3 Data Creation Process 4.4 Meaning Model 4.5 Internal API Gateway 4.6 External API Gateway 5 Conclusion References 20 Garbage Segregator Using Deep Learning 1 Introduction 1.1 Garbage Segregation 1.2 Robotic Garbage Segregation 1.3 Convolutional Neural Networks 2 Literature Survey 2.1 An Automatic Garbage Classification System Based on Deep Learning—Kang, Zhuang, et al.—2020 IEEE Access 8 Journal [1] 2.2 Recyclable Waste Image Recognition Based on Deep Learning—Zhang, Qiang, et al.—2021 Science Direct, Conservation and Recycling 171 [2] 2.3 A Novel Framework for Trash Classification Using Deep Transfer Learning—Vo, Anh H., Minh Thanh Vo, and Tuong Le—2019 IEEE Access 7 Journal [3] 2.4 Intelligent Waste Management System Using Deep Learning with IoT—Rahman, Md Wahidur, et al.—2020 Science Direct, Journal of King Saud University-Computer and Information Sciences [4] 2.5 A Deep Convolutional Neural Network to Simultaneously Localize and Recognize Waste Types in Images—Liang, Shuang, and Yu Gu—2021 Science Direct Journal of Waste Management 126 [5] 3 System Architecture 3.1 Architecture 4 System Design and Implementation 4.1 Dataset 4.2 Data Preprocessing and Augmentation 4.3 Convolutional Neural Network Architecture for Model-1 5 Conclusion 5.1 Scope for Future and Further Improvements 5.2 Appendix References 21 Fusion Model-Based Robotic Arm Using Laboratory Virtual Instrument Engineering Workbench 1 Introduction 2 Literature Review 3 Methodology 4 Results and Discussions 5 Conclusion References 22 An Effective Traffic Sign Image Classification and Detection Using CNN 1 Introduction 2 Related Work 3 Traffic Sign Dataset 3.1 Data Preprocessing 3.2 Tuning of Hyperparameters 3.3 Evaluation of a Model 3.4 Design and Implementation 4 Convolutional Neural Network 4.1 Convolutional Layer 4.2 Max Pooling Layer 4.3 The Activation Function of the ReLU 4.4 Fully Connected Layer 5 Conclusion References 23 Design and Simulation of Mems Force Sensor for Detection of Human Inhale and Exhale Rate 1 Introduction 2 Mems Pressure Sensor 3 Working Principle 4 Block Diagram of Mems 5 Methodology 6 Design Consideration 7 Dimension of the Proposed Design 8 Materials and Physical Properties 9 Flow Chart 10 Sensitivity of Material 11 Displacement Sensitivity 12 Capacitance Sensitivity 13 Conclusion References 24 Load Balancing with Hashmap in Cloud Computing Using Cloud Simulator 1 Introduction 1.1 Objective 1.2 Challenges and Motivation 2 Importance of Load Balancing 3 Modified Hash ESCE Algorithm 3.1 Working of Modified Hash ESCE Algorithm 3.2 Flowchart of Hashmap ESCE 4 Results and Comparison 4.1 Region and Userbase Configuration 4.2 Cloud Analyst Workspace 4.3 Simulation of Proposed Algorithm 4.4 Comparison of Hash ESCE with Existing Algorithms 5 Conclusion References 25 Network Scanning Topology Based on Inventory Using Query SNMP Method 1 Introduction 2 Frontend and Backend Sides 3 Flow Process 4 Conclusion References 26 Platform Utilising Blockchain Technology for eLearning and Online Education for Open Sharing of Academic Proficiency and Progress Records 1 Introduction 2 Blockchain Technology: A Concise Overview 3 Blockchain Technology’s Application to eLearning 4 Resources Decentralisation in the Realm of Education 5 Brief Introduction to Blockchain Technology and Its Application in Online Education 6 Blockchain-Based Solutions 7 Future Implications of Blockchain Technology on Education System 8 Concluding Remarks References 27 Tk.DataViz: A Powerful Data Visualization Tool 1 Introduction 2 Related Work 3 Methodology 3.1 Basic Data Structure 3.2 Design and Development of the Software 3.3 User Interface 4 Results and Discussion 4.1 Results 4.2 Product Analysis 5 Conclusion References 28 Smart Surveillance with Facial Recognition Using Inception Resnet-V1 1 Introduction 2 Related Work 2.1 Facial Feature Detection and Recognition 2.2 Comparative Study 3 Proposed System 3.1 Features of Video Surveillance 3.2 System Design 3.3 Implementation Details 4 Results and Conclusion 5 Conclusion and Future Work References 29 Doppler Radar Technique for Geriatric Fall Detection 1 Introduction 2 Micro-Doppler Signature-Based Fall Detection Technique 2.1 Description of Micro-doppler Signature 3 Experimental Results and Detection Analysis 4 Conclusion References 30 Digital Recognition of Handwritten Digits Using Convolutional Neural Networks 1 Introduction 2 Review of the Literature 3 Dataset Utilization 4 Methodology 4.1 Image Acquisition 4.2 Preprocessing 4.3 Segmentation 4.4 Feature Extraction Together with Classification 4.5 Post-processing 5 Proposed System 6 Implementation 6.1 Convolutional Neural Network Modeling 6.2 Working of the Model 7 Results 7.1 User Interface and Spreadsheet Results 7.2 Loss and Accuracy Curves 8 Conclusion References 31 Cyberbully Classification Based on Tweet Texts for Detection of Phishing Links 1 Introduction 2 Literature Review 3 Proposed Work 3.1 Dataset 3.2 Technique/Method 4 Result Analysis 4.1 Accuracy Assessment 4.2 Precision 4.3 Recall 4.4 F1-score 5 Conclusion References 32 Multipath Communication for Cloud Security 1 Introduction 2 Related Work 2.1 Multi-Homing 2.2 Overlay Routing 2.3 Topology-Aware Overlay Routing 2.4 Single-Hop Versus Multi-Hop Overlay Routing 2.5 Multipath TCP 2.6 Multipath Routing for Security 3 Architecture 3.1 Component Structure 3.2 Component Structure 4 Evaluation 5 Conclusion References 33 Hierarchical Clustering for Covid-19 in Asia 1 Introduction 2 Related Previous Similar Research Papers 3 Methods 3.1 Data Source 3.2 Dendrogram 3.3 Measuring the Distance Algorithm 3.4 Centroid Linkage 3.5 Pseudocode 4 Result and Discussion 5 Conclusion References 34 A Comparative Analysis of Different Algorithms in Machine Learning Techniques for Underwater Acoustic Signal Recognition 1 Introduction 2 Motivation 3 Review of Machine Learning for Acoustic Signal Recognition 4 Comparative Evaluation 5 Conclusion References 35 Design of FIR Filter-Based on Least Square Error Method 1 Introduction 2 Linear Phase Filters 3 Methodology 4 Simulation of LSE-Based FIR Filters 5 Results 6 Conclusion References 36 Product Review Analysis by Web Scraping Using NLP 1 Introduction 2 Related Works 3 Existing System 4 Proposed System 5 Modules 6 Experimental Result 7 Conclusion References 37 Comparative Study of Features for Missing Links Prediction in Social Network 1 Introduction 2 Methodology 2.1 Dataset Used 2.2 Features 2.3 Evaluation Metrics 3 Results and Discussion 4 Conclusion References 38 Comparative Analysis of Fuzzy Logic-based Image Enhancement Techniques for MRI Brain Images 1 Introduction 2 HE Technique 3 CLFAHE Technique 4 AFHE Technique 5 Image Quality Assessment Parameters 5.1 Visual Quality 5.2 Entropy 5.3 PSNR 5.4 SSIM 6 Results 7 Conclusion References 39 Influence of Bias and Variance in Selection of Machine Learning Classifiers for Biomedical Applications 1 Introduction 2 Literature Survey 3 Materials and Methods 3.1 Conventional Machine Learning Models 3.2 Preprocessing of Data Using Min–Max Normalization 3.3 Analysis of Linear Separability of Bio Signals Based on the Correlation Coefficient 3.4 Selection of Machine Model Based on the Bias–Variance of Data and Performance Optimization of Various Linear/Nonlinear Models 4 Result and Discussion 5 Comparison with Existing Work 6 Conclusion and Future Work References 40 Development of Automated Image Caption Generator in Real-Time Application Using Pre-trained CNN Models 1 Introduction 2 Literature Survey 2.1 Retrieval-Based Method 2.2 Show and Tell Method 2.3 Attention Models 3 Proposed Method 3.1 Data Preprocessing 3.2 Feature Extraction 3.3 Word Embeddings 3.4 Language Model 4 Implementation in Real-Time Device 4.1 Components Used 4.2 Prototype 5 Evaluation Metrics 5.1 Bilingual Evaluation Understudy (BLEU) 5.2 Meteor 6 Experimental Results 7 Conclusions References 41 Mobile Application for Smart Parking Systems 1 Introduction 2 Current and Previous Similar Research Papers 3 Result and Discussion 4 Conclusion References 42 Normalization of Identical Record from Multiple Sources 1 Introduction 1.1 The Principles of Data Mining 1.2 Techniques in Duplicate Record Mining 2 Related Work 3 Existing Methodology 3.1 Drawbacks 4 Proposed Methodology 5 Experimental Setup 6 Conclusion References 43 Grey Wolf Optimization Technique for Predictive Analysis of Products in E-Commerce—An Adaptive Approach 1 Introduction 2 Related Works 3 Proposed Methodology 4 Experimental Results 5 Conclusion References 44 Automatic Vehicle Bangla License Plate Detection and Recognition 1 Introduction 2 Related Work 2.1 Preprocessing 2.2 Feature Analysis 2.3 Region Analysis 2.4 Character Segmentation 2.5 Recognition 3 Methodology 3.1 Plate Localization 3.2 Image Enhancement 3.3 Plate Extraction 3.4 Character Recognition 3.5 Neural Network Design 4 Experiment and Results 5 Conclusion and Future Work References 45 An Effective Framework for Ensuring Data Privacy in Private Cloud 1 Introduction 2 Literature Survey 3 Proposed Scheme 3.1 Working of Proposed Scheme 4 Results & Analysis 5 Conclusion References 46 Comparative Study of Machine Learning Techniques to Forecast Short-Term Wind Power 1 Introduction 2 Methodology 2.1 Visualization of Dataset in Cartesian Coordinate System 2.2 LASSO Regression 2.3 Random Forecast Regression 3 Results and Discussion 3.1 Random Forest Regression 3.2 LASSO Regression 4 Conclusion References 47 Automatic Scraping of Employment Record Using Machine Learning—An Assistance for the Recruiter 1 Introduction 2 Literature Survey 2.1 Table Scraps: An Actionable Framework for Multi-table Data Wrangling from an Artifact Study of Computational Journalism 2.2 Efficient Match-Based Candidate Network Generation for Keyword Queries Over Relational Databases 2.3 Guide for Architectural Framework and Application of Federated Machine Learning 2.4 Natural Language Processing for the Job Portal Enhancement 2.5 A Data Mining Approach for Finding Similar Job Positions to Upgrade a Job Position in a System for Evaluating Competencies 2.6 Job Portal—A Web Application for Geographically Distributed Multiple Clients 2.7 Open-Source Job Submission Portal for Grid 2.8 Exploration and Integration of Job Portals in Vietnam 2.9 Information Extraction Using Web Usage Mining, Web Scrapping, and Semantic Annotation 2.10 A Two-Step Resume Information Extraction Algorithm 2.11 Resume Parser Using Natural Language Processing Techniques 2.12 Resume Analyzer Using Text Processing 2.13 Resume Information Extraction Framework 2.14 Resume Information Extraction Framework 2.15 Big Data Analytics for Improved Risk Management and Customer Segregation in Banking Applications 2.16 Big Data Analysis and Perturbation Using Data Mining Algorithm 3 Discussion 4 Methodology 5 Experimental Results 6 Conclusion and Future Work References 48 Weather Forecasting Using Time Series in Long Short-Term Memory 1 Introduction 2 Literature Review 2.1 Objectives 2.2 Challenges 3 Description of the Dataset 4 Proposed Methodology 5 Results 6 Conclusions and Future Scope References 49 Augmented Reality Integrated Smart Math Solver 1 Introduction 2 Related Work 2.1 Existing Technologies 2.2 Literature Review 3 Proposed Work 3.1 Overview 3.2 System Architecture 3.3 Basic Working 4 Results 5 Conclusion References Author Index