Data Science and Security : Proceedings of IDSCS 2023

• Autore: Shukla Samiksha
• Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (568 pages)
• Altri autori: SayamaHiroki KureetharaJoseph Varghese MishraDurgesh Kumar
• Nota di contenuto: Intro -- Preface -- Contents -- Fear and Finance: An Unsupervised Machine Learning Study on Credit-Averse Households in the U.S -- 1 Introduction -- 1.1 Background on Credit Fear and Its Impact on Households -- 1.2 Purpose of the Research -- 1.3 Overview of the Methodology and Data Sources -- 2 Literature Review -- 2.1 Previous Research on Credit Fear and Credit Constraints -- 2.2 Overview of the Survey of Consumer Finances (SCF) -- 2.3 Overview of Unsupervised Machine Learning Method with Clustering -- 3 Methodology -- 3.1 K-means Clustering -- 4 Analysis and Results -- 4.1 Data Preparation -- 4.2 Feature Selection Approach -- 4.3 Principal Component Analysis -- 5 Conclusions -- 5.1 Limitations and Future Research Directions -- References -- OGIA: Ontology Integration and Generation Using Archaeology as a Domain -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Results and Performance Evaluation -- 5 Conclusions -- References -- Data: A Key to HR Analytics for Talent Management -- 1 Introduction -- 2 Conventional Talent Management Techniques -- 2.1 Comparison Between the Traditional Performance Management System and the Unconventional Performance Management System -- 3 Framework for Data-Driven Talent Management -- 4 Parameters Used in HR Analytics -- 5 Tools Used for HR Analytics -- 6 Challenges of Conventional Talent Management Techniques -- 7 Importance of Data and HR Analytics in Workforce Planning -- 7.1 Analyzing Workforce Turnover Patterns Using Data Analytics: A Case Study -- 8 Application of Data-Oriented HR Analytics -- 8.1 Healthcare Sector -- 8.2 Academics -- 8.3 IT Sector -- 9 Limitations -- 10 Conclusion and Future Recommendations -- References -- An Early Lumpy Skin Disease Detection System Using Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Data Collection -- 3.1 Data Pre-processing. ; 4 Model Training -- 4.1 Decision Tree -- 4.2 Random Forest -- 4.3 Logistic Regression -- 4.4 Support Vector Machine -- 4.5 KNN -- 5 Results and Discussion -- 6 Conclusion -- References -- Extracting Network Structures from Corporate Organization Charts Using Heuristic Image Processing -- 1 Introduction -- 2 Dataset -- 3 Method -- 4 Results -- 5 Conclusions -- References -- Generating Equations for Mathematical Word Problems Using Multi-head Attention Transformer -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Baseline Model (Bi-LSTM Model with Attention Layers) -- 3.3 Transformer Model with Attention -- 4 Results and Conclusions -- 5 Future Scope -- References -- Autonomous System Enabling Node and Edge Detection, Path Optimization, and Effective Color-Coded Box Management in Diverse Robotic Environments -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Extracting Necessary Features and Information from the Given Image -- 3.2 Path Planning and Navigation -- 4 Implementation Using LiDAR -- 5 Comparative Study -- 6 Results -- 7 Future Scope and Conclusion -- References -- GLANCE-Guided Language Through Autoregression Establishing Natural and Classifier-Free Editing -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Scene Tokenizing and Representation -- 3.2 Prioritizing Human Attention in Tokenization -- 3.3 Vector Quantization of Faces -- 3.4 Enhancing Facial Emphasis Within the Scene Context -- 3.5 Object Vector Quantization -- 3.6 Transformer-Scene Based -- 3.7 Pioneering Classifier-Free Transformer Guidance -- 4 Results -- 4.1 Dataset -- 4.2 Metrics -- 4.3 Previous Work Comparison -- 4.4 Experimental Setting with Result Analysis for Storytelling -- 5 Conclusion -- References -- Method for Design of Magnetic Field Active Silencing System Based on Robust Meta Model -- 1 Introduction. ; 1.1 Introduction to the Problem -- 1.2 Contribution -- 1.3 Paper Organization -- 2 Related Works -- 3 Exact Model Design -- 4 Robust Meta Model Design -- 5 Active Silencing Robust System Design -- 6 Games Solutions Calculation -- 7 Numerical Study -- 8 Experimental Study -- 9 Conclusions -- References -- Ontology Integration for Cultural Landscape Management Using ML and Assistive Artificial Intelligence -- 1 Introduction -- 2 Related Works -- 3 Proposed System Architecture -- 4 Performance Evaluation and Results -- 5 Conclusion -- References -- Early Phase Detection of Bacterial Blight in Pomegranate Using GAN Versus Ensemble Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Comparison Table of Previous Existing Techniques and Methods -- 3 Methodology -- 3.1 Steps Involved -- 3.2 Cycle-GAN Generated Images of Different Classes -- 3.3 Ensemble Learning Model -- 4 Graphs -- 5 Results -- 6 Conclusion -- References -- Classification of Diseased Leaves in Plants Using Convolutional Neural Networks -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 4 Data Analysis -- 5 Results, Discussion, and Conclusion -- References -- Brain Tumor Localization Using Deep Ensemble Classification and Fast Marching Segmentation -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 3.1 Dataset -- 3.2 Experimental Setup -- 3.3 MobileNet-V3 -- 3.4 EfficientNetV2L -- 3.5 The Ensemble Model -- 3.6 Fast Marching Segmentation -- 4 Results and Discussions -- 4.1 MobileNetV3L -- 4.2 EfficientNetV2 -- 4.3 Ensemble Model -- 4.4 Segmentation -- 5 Conclusion -- References -- Spectrum and Energy of the Mobius Function Graph of Finite Cyclic Groups -- 1 Introduction -- 2 Preliminaries -- 3 Adjacency Spectrum of upper M left parenthesis normal upper G right parenthesis M(G). ; 4 Laplacian Spectrum of upper M left parenthesis normal upper G right parenthesis M(G) -- 5 Energy of upper M left parenthesis normal upper G right parenthesis M(G) and the Laplacian Energy of upper M left parenthesis normal upper G right parenthesis M(G) -- 6 Conclusion -- References -- Analysis of Multinomial Classification for Legal Document Categorization -- 1 Introduction -- 2 Dataset Preparation and Methodology -- 2.1 Dataset Preprocessing -- 2.2 Methodology -- 3 Discussions -- 4 Conclusion -- References -- Pioneering Image Analysis with Hybrid Convolutional Neural Networks and Generative Adversarial Networks for Enhanced Visual Perception -- 1 Introduction -- 1.1 Scope -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Problem Definition -- 3.2 Data Acquisition and Pre-processing -- 3.3 Hybrid Deep CNN Architecture -- 3.4 GAN Architecture -- 3.5 Hybrid Integration -- 3.6 Training -- 3.7 Evaluation -- 4 Result and Discussion -- 4.1 Accuracy -- 4.2 Loss -- 5 Conclusion -- References -- Enhancing Medical Decision Support Systems with the Two-Parameter Logistic Regression Model -- 1 Introduction -- 2 Methodology -- 3 Empirical Study -- 4 Conclusion -- 5 Future Research -- References -- BI-RADS Score Prediction Using AI for Breast Cancer Screening -- 1 Introduction -- 2 Literature Survey -- 3 Materials and Methods -- 3.1 Collection of Mammograms -- 3.2 Data Pre-processing -- 3.3 Transforming DICOM -- 3.4 DICOM Annotation -- 3.5 Model Building -- 4 Results and Discussion -- 5 Conclusion -- References -- Modeling and Analysis of the Lead-Lag Network of Economic Indicators -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Conclusion and Limitations -- References -- Predictive Maintenance Model for Industrial Equipment -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Result and Discussion -- 5 Conclusion -- References. ; Taming the Complexity of Distributed Lag Models: A Practical Approach to Multicollinearity, Outliers, and Auto-Correlation in Finance -- 1 Introduction -- 2 Methodology -- 3 Empirical Application -- 4 Conclusions -- 5 Future Scope -- References -- Algorithm of Robust Control for Multi-stand Rolling Mill Strip Based on Stochastic Multi-swarm Multi-agent Optimization -- 1 Introduction -- 1.1 Introduction to the Problem -- 1.2 Contribution -- 1.3 The Organization of the Paper -- 2 Literature Review and Problem Statement -- 3 Design of an Exact Model of the Random Processes of the Longitudinal Variation in Strip Thickness -- 4 Design of a Robust Meta-Model of the Random Processes of the Longitudinal Variation in Strip Thickness -- 5 Model Description for Multi-stand Rolling Mill -- 6 Robust System Design -- 7 Calculation of Vector Games Solutions -- 8 Simulation Results -- 9 Conclusions -- References -- Emoji Sentiment Analysis of User Reviews on Online Applications Using Supervised Machine Learning -- 1 Introduction -- 2 Related Work -- 2.1 Inference from Literature Review -- 3 The Materials and the Method -- 3.1 Data Set -- 3.2 Data Preprocessing -- 3.3 Experimental Setup -- 3.4 Data Exploration and Analysis -- 3.5 Machine Learning Models for Data Classification -- 3.6 Performance Evaluation -- 4 Research Results and Discussions -- 5 Conclusion -- References -- An Enhanced Power Management and Prediction for Smart Grid Using Machine Learning -- 1 Introduction -- 2 Related Work -- 3 Comfort Level Prediction -- 4 Proposed Algorithm -- 5 Simulation and Experimental Result -- 5.1 Simulation Analysis -- 6 Conclusion -- References -- Feature Reduction Set for the Prediction of Renal Disease Using Ensemble Methods and Optimal Hyperplane Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Data Pre-processing -- 4 Data Reduction. ; 5 Supervised and Ensemble Learning Approach.
• Titolo autorizzato: Data Science and Security
• ISBN: 981-9709-75-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910865286903321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems Series