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Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24-25
Accelerating Discoveries in Data Science and Artificial Intelligence I : ICDSAI 2023, LIET Vizianagaram, India, April 24-25
Autore Lin Frank M
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (862 pages)
Altri autori (Persone) PatelAshokkumar
KesswaniNishtha
SambanaBosubabu
Collana Springer Proceedings in Mathematics and Statistics Series
ISBN 3-031-51167-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface: Volume 1 -- Organization -- Contents -- Analysis of Fraud Detection Approaches in Online Payment Systems -- 1 Introduction -- 2 Fraud Detection and Sector-Specific Fraud -- 3 Scenarios of Credit Card Fraud -- 4 Analysing Unbalanced Dataset -- References -- Investigating Context-Aware Sentiment Classification Using Machine Learning Algorithms -- 1 Introduction -- 1.1 Context Overview -- 2 Literature Review -- 3 Modelling -- 4 Challenges -- 5 Conclusion -- References -- Opioid Recommendation to Arthroplasty Patients, Using Pearson Correlation and Shapiro Wilk Test -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 4 Result Analysis -- 5 Conclusion -- References -- Sindhi POS Tagger Using LSTM and Pre-Trained Word Embeddings -- 1 Introduction -- 2 Literature Review -- 3 Experimental Setup -- 4 Proposed System -- 5 Evaluation -- 6 Conclusion -- References -- An Early-Stage Colorectal Cancer Detection from Colonoscopy Images Using Enhanced Res-UNET -- 1 Introduction -- 2 Literature Review -- 3 Deep Learning -- 3.1 U-Net with Base Convolution Neural Network -- 4 Proposed Model (U-Net with Base as ResNet) -- 4.1 ResNet-Based Encoder -- 4.2 ResNet-Based Decoder -- 5 Experimental Results and Analysis -- 5.1 Dataset -- 5.2 Data Augmentation -- 5.3 Experimental Setup -- 5.4 Results and Discussion -- 6 Conclusion -- References -- Prediction of Rice Leaf Diseases at an Early Stage Using Deep Neural Networks -- 1 Introduction -- 1.1 Rice Leaf Diseases -- 2 Literature Review -- 3 Proposed Model -- 3.1 DenseNet-201 -- 3.2 Naive Inception Module -- 3.3 System Design -- 4 Data Accumulation and Preparation -- 4.1 Data Augmentation and Preprocessing -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- A Study of the Impact of Implementing a Procedure for Creation of Risk Factor Software -- 1 Introduction.
1.1 Necessity for Software Engineering -- 2 Kinds of Necessities -- References -- Chat Analysis and Spam Detection of WhatsApp Using Machine Learning -- 1 Introduction -- 2 Related Works -- 2.1 Observations on the Existing System -- 3 Proposed System -- 3.1 Proposed System Architecture -- 4 Implementation -- 4.1 Text Messages Collection -- 4.2 Purification of Data -- 4.3 Text Preprocessing -- 4.4 Data Set Balancing (Undersampling or Downsampling) [5] -- 4.5 Text Vectorization [14] -- 4.6 Building and Testing the Classifier -- 5 Results and Analysis (Figs. 2, 3, 4, 5, 6, 7, 8, and 9) -- 6 Conclusions and Future Scope -- References -- A Study of Hate Speech Detection Using Different Models -- 1 Introduction -- 2 Literature Survey -- 3 Problem Statement -- 3.1 Existing System -- 3.2 Proposed System -- 4 Results -- 5 Conclusion and Future Scope -- References -- Image Feature Narrator for the Blind -- 1 Introduction -- 2 Literature Survey -- 3 Existing System -- 4 Proposed System -- 5 Basic Concepts -- 6 System Architecture -- 7 System Block Diagram -- 8 Datasets -- 9 Experiment and Result -- 10 Conclusion -- References -- Recognition of Indian Gestural Language Through Neural Networks: Narrative Approach -- 1 Introduction -- 2 Indian Gestural System -- 2.1 Types of Gestures -- 2.2 Related Work -- 3 Indian Gestural Language: Sign Language -- 3.1 Neural Network -- 3.2 Supervised Learning -- 3.3 Unsupervised Learning -- 4 Comparative Analysis by Neural Network on Indian Gestural Language -- 4.1 Analysis of Various Existing Methodologies -- 5 Comparison Findings -- 6 Conclusions and Future Scope -- References -- Frequency and Voltage Control of Multi-Area Multisource Power System Using Whale Optimization Algorithm -- 1 Introduction -- 2 Power System Model -- 3 Proposed Control Methodology -- 4 Whale Optimization Algorithm.
5 Implementation and Results Discussion -- 5.1 Optimization of 2-Area IPS -- 5.2 Optimal Values of Controller Parameters -- 5.3 Result Analysis of 2-Area IPS -- 6 Conclusion and Future and Work -- References -- Tumor Prediction Using Microarray Gene Expression Profiles Through SVM and CBFS -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Classification Algorithm -- 3.1 Inductive Support Vector Machines (ISVMs) -- 4 Proposed Feature Selection Algorithm -- 4.1 Consistency Based Feature Selection (CBFS) -- 5 Existing Feature Selection Algorithms -- 5.1 Signal to Noise Ratio (SNR) -- 6 Experiment Analysis and Results -- 6.1 Datasets -- 6.2 Choice of Features -- 6.3 Input Parameters -- 6.4 Performance Assessment -- 6.5 Report -- 7 Conclusion and Discussion -- References -- Advanced Machine Learning Approaches for Improving Traffic Flow Predictions in Smart Transportation Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Result and Analysis -- 5 Conclusions -- References -- Deep Learning-Based Surrounding Descriptor for the Visually Challenged -- 1 Introduction -- 2 Literature Survey -- 3 Proposed System Methodology -- 3.1 Importing Images -- 3.2 Importing Captions -- 3.3 Visualizing -- 3.4 Image Preprocessing -- 3.5 Text Preprocessing -- 3.6 Image Feature Extraction -- 3.7 Splitting the Dataset -- 3.8 Training the Model -- 3.9 Evaluate the Model -- 3.10 Predict and Convert Text to Speech -- 4 Experimental Result -- 5 Conclusion -- References -- Wind Power Prediction Using Artificial Neural Network Model: A Case Study -- 1 Introduction -- 2 Methodology -- 2.1 Wind Energy Dataset -- 2.2 Artificial Neural Networks -- 3 Results and Discussion -- 4 Conclusion -- References -- Optimizing Wind Farm Design by Incorporating Wind Turbines of Diverse Hub Heights Through PSO -- 1 Introduction -- 2 Methodology.
2.1 Mathematical Modelling of Wake Effect -- 2.2 Particle Swarm (PSO) Algorithm for Optimization -- 2.3 Definition of the Problem Statement -- 3 Results and Discussion -- 3.1 Scenario with Consistent Velocity and Direction of Wind -- 3.2 The Scenario of Fixed Wind Velocity and Changing Direction -- 3.3 Discussion and Comparison -- 4 Conclusion -- References -- Use of Regression Algorithm for Bike Ride Sharing DemandProjection -- 1 Introduction -- 2 Background Study -- 3 Methodology -- 3.1 Data Analysis (Pre-processing) -- 3.2 Feature Engineering -- 3.3 Evaluation and Comparative Analysis of Metrics -- 3.4 Model Selection and Hyperparameter Tuning -- 4 Results -- 5 Conclusion -- 6 Discussion and Future Work -- References -- Quantifiable Procedures for Covid Improvement Expectation Cox Regression Model -- 1 Introduction -- 2 Analysis and Prognostication -- 2.1 Cox's Regression Model -- 2.2 Cox's Partial Probability -- 2.3 Development of the Cox's Regression Model -- 3 Tree Diagram with Seven Nodes (Fig. 2) -- 3.1 Recovered Cases -- 4 Scope of Cox's Model in Coronavirus -- 5 Conclusion -- References -- Bayesian Optimized Random Forest Classifier for Improved Credit Card Fraud Detection: Overcoming Challenges and Limitations -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model Architecture for RFC and BORFC -- 3.1 Dataset Collection and Analysis -- 3.2 Data Pre-processing -- 3.3 Feature Selection Using Binary Particle Swarm Optimization (BPSO) -- 3.4 Random Forest Classifier Algorithm -- 3.5 Bayesian Optimization of Random Forest Classifier Algorithm -- 4 Simulated Results -- 5 Conclusion and Future Work -- References -- Early Stage Detection of PCOS Using Deep Learning -- 1 Introduction -- 1.1 Problem Background -- 1.2 Problem Definition -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Building CNN Models.
4 Results and Discussion -- 5 Conclusion -- 6 Future Enhancements -- References -- Challenges and Advancement in Federated Recommendation System: A Comprehensive Review -- 1 Introduction -- 2 Federated Recommendation Systems -- 2.1 Challenges in Federated Recommendation Systems -- 2.2 Assortment of Federated Recommendation Systems -- 3 Comparative Analysis of Various Recommendation Models -- 4 Communication Efficiency, Privacy, and Security in Federated Systems -- 5 Tools and Frameworks for FRS -- 6 Conclusion -- References -- Conditional DCGAN for Targeted Generation of MNIST Handwritten Digits -- 1 Introduction -- 2 Methods -- 2.1 cDCGAN (Fig. 1) -- 3 Experiment -- 3.1 Dataset -- 3.2 Hyperparameters -- 4 Comparison and Discussion -- 4.1 Epochs: 10 Vs 20 Vs 30 -- 4.2 Batch Size: 32 Vs 64 Vs 128 -- 4.3 Optimizer: Adam Vs SGD -- 4.4 Activation Function: LeakyReLU Vs ReLU -- 4.5 Learning Rate (LR) -- 4.6 Loss Function -- 5 Results Comparison -- 6 Results -- References -- Predicting Cryptocurrency Price Using Multiple Deep LearningModels -- 1 Introduction -- 1.1 Motivation -- 2 Literature Survey -- 3 Existing System -- 4 Proposed System -- 4.1 Proposed Dataset -- 4.2 Proposed Algorithms -- 5 Experimental Results -- 6 Conclusion -- 7 Future Enhancements -- References -- Efficient Object Detection, Segmentation, and Recognition Using YOLO Model -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Collection and Visualization -- 3.2 Model Building -- 3.3 Detection and Recognition -- 3.4 Conotour Segmentation -- 4 Results -- 5 Conclusion and Future Scope -- References -- Music Genre Classification Using XGB Boost -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Proposed Approach -- 5 Implementation -- 6 Results -- 7 Conclusion -- 8 Future Scope -- References -- Semantic Web 3.0 Streaming-Based Music Application.
1 Introduction.
Record Nr. UNINA-9910865293703321
Lin Frank M  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24-25
Accelerating Discoveries in Data Science and Artificial Intelligence II : ICDSAI 2023, LIET Vizianagaram, India, April 24-25
Autore Lin Frank M
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (377 pages)
Altri autori (Persone) PatelAshokkumar
KesswaniNishtha
SambanaBosubabu
Collana Springer Proceedings in Mathematics and Statistics Series
ISBN 3-031-51163-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface: Volume II -- Preface: Volume I -- Organization -- Contents -- Part I Computational Intelligence for Sciences -- Mood-Based Music Recommendation System -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Methodology -- 4 System Architecture -- 5 System Implementation -- 6 Results -- 7 Conclusion and Future Work -- References -- Internet Employment Detection Scam of Fake Jobs via Random Forest Classifier -- 1 Introduction -- 2 Literature Survey -- 3 Purpose -- 4 Methodologies -- 4.1 Existing System -- 4.2 Proposed System -- 4.3 Data Collection -- 4.4 Data Analysis -- 4.5 Data Cleaning and Preprocessing -- 5 System Architecture -- 6 Data Flow Diagram -- 7 Results -- 8 Algorithms -- 9 Conclusion -- 10 Future Scope -- References -- Sentiment Analysis and Age Factor Influences on Brand Usage of Personal Care Products: A Study with Reference to Visakhapatnam City, India -- 1 Introduction -- 2 Review of Literature -- 3 Methodology -- 4 Results and Analysis -- 4.1 Beauty Soaps -- Brand Categorization of Beauty Soaps -- Sentiment and Age and Usage of Beauty Soap Brand Analysis -- 4.2 Fairness Cream -- Brand Categorization of Fairness Cream -- Sentiment and Age-Based Usage of Fairness Cream Brands -- 5 Conclusion and Implications -- References -- Construction of Pythagorean and Reciprocal Pythagorean n-tuples -- 1 Introduction -- 2 Construction of Pythagorean and Reciprocal Pythagorean Triple -- 3 Construction of Pythagorean and Reciprocal Pythagorean Triple for 4-tuple -- 4 Construction of Pythagorean Triple and Reciprocal Pythagorean for 5-tuple -- 5 Construction of Pythagorean and Reciprocal Pythagorean Triple for n-tuple -- 6 Reciprocal Pythagorean n-tuple -- 7 Conclusion -- References -- Statistical Approaches for Forecasting Air pollution: A Review -- 1 Introduction -- 2 Related Work.
2.1 Techniques Related to Air Pollution Forecasting -- 3 Conclusion -- References -- Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems -- 1 Introduction -- 2 Experimental -- 2.1 Materials and Reference Solutions -- 2.2 Methods and Equipment for Analytical Research -- 2.3 Modelling Approach -- 3 Results and Discussion -- 3.1 The Role of Secondary Formations -- 3.2 Diagrams of the Distribution -- 3.3 Residual Analysis [42-45] -- 3.4 Effect of Surfactant -- 3.5 Consequences of Best-Fit Model Errors -- 4 Conclusions -- References -- A Study on Benefits of Continuous Integration and Continuous Delivery in Software Engineering -- 1 Introduction -- 2 Collaboration and Code Quality with CI/CD -- 3 Stages in the Continuous Delivery Pipeline -- 4 Benefits of CI/CD Pipeline -- 5 Tools and Applications of CI/CD -- 6 Conclusion and Future Work -- References -- An Overview: Progressive Report on Magic Labelling -- 1 Introduction -- 2 Literature Survey -- 3 Planar Graph -- 4 Conclusion -- References -- Part II Computing, Data Science & -- Intelligent Robotics -- Multi-keyword Ranked Search with Privacy Protection on Encrypted Cloud Data -- 1 Introduction -- 2 Objectives -- 3 Related Works -- 4 Problem Formulation -- 5 Basic Multi-keyword Fuzzy Search Scheme -- 6 Enhanced Multi-keyword Fuzzy Search Scheme -- 7 Architecture Diagram -- 8 Experimental Results -- 9 Conclusion -- References -- BERT-Based Similarity Measures Oriented Approach for Style Change Detection -- 1 Introduction -- 2 Existing Works -- 3 Description About Dataset -- 4 Proposed Approach for Style Change Detection -- 4.1 BERT -- 4.2 Similarity Measures -- Cosine Similarity Measure (CSM) -- Jaccard Similarity Measure (JSM) -- Dice Coefficient Measure (DCM) -- Pearson Correlation Coefficient (PCC).
5 Experimental Results -- 6 Conclusions and Future Scope -- References -- Computer Vision -Based Malpractice Detection System -- 1 Introduction -- 2 Literature Survey (Table 2) -- 3 Methodology -- 3.1 Algorithm -- 4 Results -- 5 Conclusion -- References -- The Evolution of Influence Maximization Studies: A Scientometric Analysis -- 1 Intoduction -- 2 Related Works -- 3 Data Collection and Methodology -- 4 Results -- 4.1 Observations -- 4.2 Co-author Analysis -- 4.3 Citation Analysis by the Organization -- 5 Conclusion -- References -- A Survey on Evolving Optimal Encryption Methods in Cloud Computing Data Forensics -- 1 Introduction -- 2 Challenges and Objectives in Data Forensics -- 3 Overview of System Model -- 4 Literature Review -- 5 Conclusion -- References -- DR-HIPI: Performance Evaluation of Retinal Images for DR Lesion Segmentation Using the HIPI Architecture -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Image Pre-processing -- Algorithm -- 3.2 Experimental Setup -- Distributed Parallel Computing in Hadoop -- 3.3 Proposed Model to Suggest Better Image Modality for the DR Lesion Segmentation Using Hadoop Environment -- Algorithm for Map Function -- Algorithm for Reduce Function -- 4 Experimental Results -- 5 Discussion -- 6 Conclusion and Future Directions -- References -- Adaptability of Robotic Process Automation and Capabilities of Human Automation -- 1 Introduction -- 1.1 Motivation -- 2 Literature Survey -- 3 Collective Robotic Learning -- 4 Open Source and Open Access -- 5 Proposed Methodology -- 6 Experimental Analysis -- 7 Conclusion -- References -- Part III Communication and Automation Applications -- A Brief Review on the Impact of Digital Trading on Conventional Marketing Strategies After COVID-19's Effect on Ecommerce -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Data Source.
3.2 Ecommerce and the COVID-19 Pandemic -- 3.3 India's Internet Economy Growth -- 3.4 Traditional Marketing -- 3.5 Digital Marketing -- 4 Findings and Conclusions -- References -- Fall Support Assistant Application -- 1 Introduction -- 2 Literature Review -- 3 System Design -- 4 Methodology -- 5 Workflow of the Application -- 6 Challenges and Future Efforts -- 6.1 Real-Time Fall Detection Challenges -- 6.2 Future Efforts -- 7 Conclusion -- References -- A Systematic VANET Traffic Congestion by Eliminating Recursion Using Intervention Linear Minimum Spanning Tree (ILMST) for Traffic Management System -- 1 Introduction -- 2 Literature Survey -- 3 Vehicular Ad Hoc Network (VANET) Model -- 4 Proposed Methodology -- 4.1 ILMST-Based VANET Algorithm -- 5 Results and Discussion -- 5.1 Experimental Setup -- 5.2 Evaluation Metrics -- 6 Conclusion -- References -- Real-Time Object Cloning in Augmented Reality Using BASNet and Screenpoint Algorithms -- 1 Introduction -- 2 System Architecture -- 2.1 Screenprint Algorithm -- 3 BASNet Algorithm -- 3.1 Overview of Network Architecture -- 3.2 Predict Module -- 3.3 Refine Module -- 3.4 Hybrid Loss -- 4 Proposed Systems and Related Works -- 4.1 Problem Description -- 5 Results -- 6 Conclusion -- References -- Maximization of Energy Efficiency for Optimal Spectral Efficiency in Massive MIMO System -- 1 Introduction -- 2 Maximization of EE in Massive MIMO -- 2.1 Single-Antenna Systems Without Interference -- 2.2 Single-Antenna System with Interference -- 2.3 Multiple-Antenna System -- 3 Maximization of EE for Optimal SE -- 4 Simulation Results -- 5 Conclusion -- References -- Optimization of Spectral Efficiency Using Precoding Techniques in Multi-cell Massive MIMO -- 1 Introduction -- 2 Spectral Efficiency and Optimization -- 3 Proposed Method for Maximization of Spectral Efficiency -- 4 Simulation Results.
5 Conclusion -- References -- The Effect of Prerequisite Engineering Processes on the Production of Risk Factors in Software Development -- 1 Introduction -- 2 Necessity for Software Engineering -- 3 Necessities Are Essentially of Two Kinds -- 4 Prerequisite of Software Engineering Software Development -- 5 Research Issues in Software Engineering (Table 1) -- 6 Research Methodology -- 7 Review Planning -- 8 Conclusion Work -- References -- Comparison of Channel Equalization Schemes for MIMO-OFDM -- 1 Introduction -- 1.1 Related Work -- 2 MIMO-OFDM System -- 2.1 OFDM -- 2.2 MIMO -- 3 Channel Equalization -- 3.1 ZF Equalizer -- 3.2 MMSE Equalizer -- 3.3 Maximal Ration Combining -- 4 Results and Discussions -- 5 Conclusion and Future Scope -- References -- Part IV Internet of Things, Networks & -- Security -- QoS Enhancement Through Link-Quality Prediction Using Signal-to-Noise Ratio in MANET -- 1 Introduction -- 2 Communication Model in MANET -- 2.1 Network Infrastructure -- 2.2 Routing Topology -- 3 Challenges in Link-Quality Prediction -- 3.1 Path Loss -- 3.2 Communication Error -- 3.3 End-to-End Delay -- 3.4 Limitation and Challenges -- 4 Link-Quality Prediction -- 4.1 Link-State Aware Predictions -- 4.2 Accuracy in Link-Prediction -- 4.3 Prediction of Link Quality -- 5 Future Development Scope -- 6 Conclusion -- References -- Credential Manager Using Cloud Computing -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 4 Implementation -- 4.1 Creating the Front End -- 4.2 Integrating Python with Firebase [16] -- 4.3 Compile Firebase Configurations -- 4.4 Firebase Authentication Attachment -- 4.5 Setting Up the Fire Store Database -- 5 Results and Analysis -- 6 Conclusion -- References -- Accident Detection, Alert, and Tracking System Based on IoT -- 1 Introduction -- 2 Classification of Traffic Collision.
3 Road Accident Detection Technology.
Record Nr. UNINA-9910857784003321
Lin Frank M  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui