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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
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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Lin Frank M
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Computational Intelligence in Management & Mathematics : 8th ICCM, Nirjuli, AP, India, July 29–30, 2022 / / edited by Madhusudhan Mishra, Nishtha Kesswani, Imene Brigui
| Applications of Computational Intelligence in Management & Mathematics : 8th ICCM, Nirjuli, AP, India, July 29–30, 2022 / / edited by Madhusudhan Mishra, Nishtha Kesswani, Imene Brigui |
| Autore | Mishra Madhusudhan |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (354 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KesswaniNishtha
BriguiImene |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Mathematical statistics
Neural networks (Computer science) Computational intelligence Mathematical Statistics Mathematical Models of Cognitive Processes and Neural Networks Computational Intelligence Intel·ligència computacional |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| Soggetto non controllato | Science |
| ISBN | 3-031-25194-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Development of Energy Efficient Routing Protocol for Lifespan Optimization in Wireless Sensor Networks (EERP) (A. Yadav) -- Sentiment Analysis using Social Media and Product Reviews (S. Kumar) -- A Stable Model for Learning and Memorization in Over-Parameterized Networks (S. Kumar) -- Analysis of Depth Sensing & Lane Detection Algorithms for Advanced Driver Assistance Systems (S. Mondal) -- Implementation Of E-Commerce Application with Analytics (Pooja M R) -- A Survey on the latest intrusions & their detection systems in IoT-based networks (S. Majumder) -- Design and analysis of Z-Source Inverter with Maximum Constant Boost Control Method (S. Sonar) -- SPV/Wind Energy-based Hybrid Grid-Connected System with Optimum Power Flow Operation (S. Rauth) -- A Study on Benchmarks for Ectopic Pregnancy Classification using Deep Learning Based on Risk Criteria (L. Suresh) -- An ontology-based approach for making smart suggestions based on sequence-based context modeling and deep learning classifications (S. Cheriyan) -- Simulation of GA Based Harmonics Elimination in CHMLI using DTC for Dynamic load (A. Sharma) -- Discussing the future perspective of Machine learning and Artificial Intelligence in COVID-19 Vaccination: A review (R. Roy) -- Embedded Platform based Heart Lung Sounds Separation using Variational Mode Decomposition (M. Mishra) -- MIMO- Modulation Schemes for Visible Light Communication in Indoor Scenarios (V. Vakamullu) -- Image Resampling Forensics: A Review on Techniques for Image Authentication (V. Kadha) -- The Impact of Perceived Justice and Customer Trust on Customer Loyalty (A. S. Rao) -- Performance analysis of wind diesel generation with three phase fault (A. Sharma) -- C-RPI : Cluster based Rendezvous Point Identification and Mobile Sink based data collection in LR-WPAN (Jayalekshmi S) -- Effect of Weather on COVID-19 pandemic in North East India (P. Das) -- A comparative study on the performance of Soft Computing models in the prediction of Orthopedic disease in the environment of Internet of Things (J. P. Choudhury) -- Maximization of Active Power Delivery in WECS Using BDFRG (M Paul) -- Identification and Detection of Credit Card Frauds Using CNN (Nalayini C M) -- Different degradation modes of field deployed Photovoltaic modules: A literature review (P. Das) -- Impact of Security Attacks on Spectrum Allocation in Cognitive Radio Networks (W. Singh) -- Human Activity Detection Using Attention Based Deep Network (M. Kumar) -- Software Vulnerability classification Using Learning Techniques (B. Verma) -- Service Recovery: Past, Present, and Future (A. S. Rao) -- An in-depth accessibility analysis of top online shopping websites (N Kesswani). |
| Record Nr. | UNINA-9910728949603321 |
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Mishra Madhusudhan
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Future of Artificial Intelligence and Robotics : Proceedings of 5th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2023 - Progress in AI-Driven Business Decisions and Robotic Process Automation
| The Future of Artificial Intelligence and Robotics : Proceedings of 5th International Conference on Deep Learning, Artificial Intelligence and Robotics, (ICDLAIR) 2023 - Progress in AI-Driven Business Decisions and Robotic Process Automation |
| Autore | Pastor-Escuredo David |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (0 pages) |
| Altri autori (Persone) |
BriguiImene
KesswaniNishtha BordoloiSushanta RayAshok Kumar |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN |
9783031609350
9783031609343 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Contents -- A Comparative Study of Machine Learning Algorithms for Predicting Cardiovascular Disease -- 1 Introduction -- 2 Related Works -- 2.1 Supervised Machine Learning-Based Approaches -- 2.2 Unsupervised Machine Learning-Based Approaches -- 2.3 Hybrid Machine Learning-Based Approaches -- 3 Methodology and Study Design -- 4 Experiments and Discussions -- 4.1 Experiments: Setup and Datasets -- 4.2 Discussions: Performance Evaluation -- 5 Conclusion -- References -- Deep W-Net: DNN for Spatial Saliency Prediction in Video Frames -- 1 Introduction -- 2 Related Work -- 2.1 Recent Work -- 3 Proposed Model -- 3.1 Proposed Architecture -- 3.2 Encoder Block -- 3.3 Decoder Block -- 3.4 Training Process -- 4 Experimental Results -- 4.1 Evaluation Methodology -- 4.2 Comparative Research Employing Techniques that Are Already Proposed -- 5 Conclusion -- References -- Optimal Pose Estimation with Particle Filters Using Unpowered Wheels -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement -- 4 Error Analysis in Conventional Approaches -- 4.1 GPS Based Path Tracking Analysis -- 4.2 Wheel Odometry Data-Based Path Tracking Analysis -- 5 Improved Path Tracking Technique -- 6 Conclusion -- References -- A Short Survey on Comparative Study of Modern Cryptography Approach -- 1 Introduction -- 1.1 Cryptography Goals -- 1.2 Cryptography Algorithm -- 1.3 Applications of Cryptography -- 1.4 Aims and Objectives of the Study -- 1.5 Structure of the Paper -- 2 Background -- 2.1 History of Cryptography -- 2.2 Short Overview of Classic to Modern Cryptography Path -- 2.3 Basic Terminology of Cryptography -- 2.4 Cryptography Attacks -- 2.5 Related Work -- 3 Comparative Study of Modern Cryptography -- 3.1 Symmetric Encryption -- 3.2 Asymmetric Encryption -- 3.3 Hashing -- 4 Conclusion -- References.
Advances in Computer-Aided Detection and Diagnosis of Retinal Diseases: A Comprehensive Survey of Fundal Image Analysis -- 1 Introduction -- 2 Literature Review -- 2.1 Data Acquisition -- 2.2 Data Pre-processing and Feature Selection -- 2.3 Techniques Used -- 3 Critical Evaluation -- 4 Conclusion -- References -- Driver Safety and Drowsiness Detection in Internet of Vehicles with Federated Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Results and Discussion -- 4.1 Tools Used and Dataset -- 4.2 Vehicle Network Simulation -- 5 Conclusion and Future Work -- References -- Privacy Preserving Fingerprint Classification Using Federated Learning -- 1 Introduction -- 2 Related Work -- 3 Proposed Solution -- 4 Results and Discussion -- 4.1 Network Architecture -- 4.2 Training Setup -- 4.3 Authentication Results -- 5 Conclusion and Future Direction -- References -- Comparative Study of Ensemble Learning Models for Smart Meter Load -- 1 Introduction -- 2 Literature Review -- 3 Ensemble Learning Based Forecasting Model -- 4 Results and Discussion -- 4.1 Experimental Setup and Dataset -- 4.2 Performance Analysis -- 5 Conclusion -- References -- Social-Media Video Summarization Using Convolutional Neural Network and Kohnen's Self Organizing Map -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 3.1 Pre-processing -- 3.2 Feature Extraction -- 3.3 SOM Clustering -- 3.4 Keyframe Selection -- 4 Experimental Results and Discussion -- 4.1 Experimental Settings -- 4.2 Dataset -- 4.3 Evaluation Metrics -- 4.4 Results Analysis -- 5 Conclusion -- References -- Machine Learning and Deep Leaning in Predicting Coronary Heart Disease -- 1 Introduction -- 2 Research Methodology -- 2.1 Collection and Properties of Dataset -- 2.2 Data Pre-processing -- 3 Experiment and Output -- 4 Conclusion -- 5 Future Works -- References. Augmented Super Resolution GAN (ASRGAN) for Image Enhancement Through Reinforced Discriminator -- 1 Introduction -- 2 Super Resolution -- 3 Proposed Method -- 4 Results and Findings -- 5 Conclusion -- References -- Convolutional Block Attention Assisted Dense Stacked Bi-LSTM for the Generation of RDF Statements -- 1 Introduction -- 2 Related Works -- 3 Proposed Methodology -- 3.1 Pre-processing -- 3.2 Feature Extraction Using the BERT-LSTM Model -- 3.3 Feature Clustering Using Adaptive Density K-means Clustering -- 3.4 RDF Classification Using Convolutional Block Attention Assisted Dense Stacked Bi-LSTM Model -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Performance Measures -- 4.3 Performance Analysis -- 4.4 Discussion -- 5 Conclusion -- References -- Real-Time Permanent Change Proposals for Abandoned Object Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experiment Results -- 4.1 Accuracy Results -- 4.2 Accuracy Comparison -- 4.3 Runtime Speed Analysis -- 5 Conclusion -- 6 Future Work -- References -- An Excursion to Ontology-Based Non-functional Requirements Specification -- 1 Introduction -- 2 Non-functional Requirements -- 3 Quality Models -- 4 Ontology -- 5 NFRs Specification -- 5.1 NFRs: A Hard or Soft Goal? -- 5.2 NFRs Extraction: Interview-Based Approach to Ontology-Based Approach -- 5.3 Comparative Analysis and Issues -- 6 Conclusions -- References -- A Review of Traditional and Neural Network Methods for Protecting Privacy in Big Data Analytics -- 1 Introduction -- 2 Anonymization Techniques -- 3 Data Distribution Technique -- 3.1 Horizontal Distribution -- 3.2 Vertical Distribution -- 4 Randomization Technique -- 5 Privacy Preserving Neural Networks -- 5.1 Cloud-Based Neural Networks -- 5.2 Clustering Based Algorithms -- 6 Privacy Preservation Using Fuzzy Neural Network -- 7 Conclusion -- References. A Long Short-Term Memory Learning Based Malicious Node Detection for Clustering in Wireless Sensor Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed System Architecture -- 3.1 Parameter Tuning, and Evaluation Metrics -- 4 Results and Discussions -- 5 Conclusion -- References -- Experimental Analysis for Sensor Reduction to Depict Real-Time Applications Through Regression Techniques -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Regression Technique -- 3.2 Mathematical Model -- 4 Experiments and Results -- 5 Conclusion -- References -- Multi-resolution Neural Network for Road Scene Segmentation -- 1 Introduction -- 2 Related Works -- 3 Proposed Work -- 3.1 Proposed Neural Network -- 3.2 Dataset -- 3.3 Benchmarking -- 4 Results and Discussion -- 4.1 Discussion -- 5 Conclusion -- References -- A CNN-Based Road Accident Detection and Comparison of Classification Techniques -- 1 Introduction -- 1.1 Motivation -- 1.2 Objective -- 1.3 Contribution -- 1.4 Paper Organization -- 2 Related Works -- 2.1 Machine Learning Methods -- 3 Proposed Work -- 3.1 Feature Extraction by CNN -- 3.2 Architecture Used -- 4 Results and Analysis -- 5 Conclusion and Future Work -- References -- Football Match Result Prediction Using Twitter Statistical/Historical Data -- 1 Introduction -- 1.1 Motivation -- 1.2 Objective -- 1.3 Contribution -- 2 Literature Survey -- 3 Methodology -- 3.1 Datasets -- 3.2 Training and Testing Splitting -- 3.3 Models Used -- 3.4 Evaluation Matrices -- 4 Results and Discussion -- 4.1 Random Forest Classifier -- 4.2 SVM Classifier -- 4.3 Naive Bayes Classifier -- 4.4 KNN Classifier -- 4.5 Comparison of all Models Used -- 4.6 Comparison with Existing Models -- 5 Conclusion and Future Work -- References. Safeguarding Ecosystems and Efficiency in Peer-to-Peer File Sharing Systems: An IoT-Inspired Approach to Pollution Mitigation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Experiments and Results -- 4.1 Analysis -- 4.2 Impact -- 5 Conclusion -- References -- A Heuristic for Minimizing Resource Requirement for Quantum Graph Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 3.1 GNNs for Graph Classification -- 3.2 Quantum Circuits -- 3.3 Hybrid-QGNNs for Graph Classification -- 3.4 Clustering Algorithms -- 4 Methodology -- 4.1 Parameter Training -- 4.2 Classification -- 5 Experiments and Results -- 6 Conclusion -- References -- Light-Gated Recurrent Unit Based Acoustic Modeling for Improved Hindi ASR -- 1 Introduction -- 2 DNN-Li-GRU Hybrid Architecture -- 3 Corpus Details and Experimental Setup -- 3.1 Corpus Details -- 3.2 Experimental Setup -- 4 Experiments -- 4.1 Experiment with Different Acoustic Features -- 4.2 Role of Batch-Normalization -- 4.3 Impact of Diffent Techniques -- 4.4 Computational Efficiency of Different Models -- 4.5 Hybrid Acoustic Modeling -- 5 Conclusion -- References -- Detecting Phishing URLs Using Machine Learning: A Review -- 1 Introduction -- 2 Literature Review -- 3 Issues and Challenges -- 3.1 Datasets and Insufficient Training Data -- 3.2 Dynamic and Changing Nature of Phishing Techniques -- 3.3 Feature Extraction Challenges -- 3.4 Class Imbalance -- 4 Future Research Directions -- 4.1 Improved Feature Extraction and Selection -- 4.2 Better Training Data -- 4.3 Hybrid Approaches -- 4.4 Integration with User Education -- 5 Conclusion -- References -- Comparative Analysis of Pneumonia Detection from Chest X-ray Using Deep Learning -- 1 Introduction -- 1.1 Transfer Learning -- 1.2 Ensemble Learning -- 2 Available Datasets -- 3 Issues with Datasets. 4 Comparative Analysis of Pneumonia Detection Approaches. |
| Record Nr. | UNINA-9910881088303321 |
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Pastor-Escuredo David
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Information Systems and Management Science : Conference Proceedings of 3rd International Conference on Information Systems and Management Science (ISMS) 2020
| Information Systems and Management Science : Conference Proceedings of 3rd International Conference on Information Systems and Management Science (ISMS) 2020 |
| Autore | Garg Lalit |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
| Descrizione fisica | 1 online resource (261 pages) |
| Altri autori (Persone) |
KesswaniNishtha
VellaJoseph G XuerebPeter A LoMan Fung DiazRowell MisraSanjay GuptaVipul RandhawaPrincy |
| Collana | Lecture Notes in Networks and Systems Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN | 3-030-86223-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Information Systems and Management Science |
| Record Nr. | UNINA-9910497097203321 |
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Garg Lalit
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| Cham : , : Springer International Publishing AG, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine Learning and Big Data Analytics : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 / / edited by Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra
| Machine Learning and Big Data Analytics : 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022 / / edited by Rajiv Misra, Rana Omer, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Nishtha Kesswani, Priyanka Mishra |
| Autore | Misra Rajiv |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (552 pages) |
| Disciplina | 006.31 |
| Altri autori (Persone) |
OmerRana
RajarajanMuttukrishnan VeeravalliBharadwaj KesswaniNishtha MishraPriyanka |
| Collana | Springer Proceedings in Mathematics & Statistics |
| Soggetto topico |
Mathematical statistics
Machine learning Quantitative research Artificial intelligence—Data processing Mathematical Statistics Machine Learning Data Analysis and Big Data Data Science Aprenentatge automàtic Dades massives |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-031-15175-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- A Comprehensive analysis on Mobile Edge Computing: joint offloading and resource allocation perspective -- Finding Significant Project Issues with Machine Learning -- Prediction of Heart Disease using various Data Analysis and Machine learning Techniques -- Artificial Intelligence: Recent Trends, Opportunities and Challenges in Real-World Scenarios -- Bilingual documents text line extraction using Conditional GANs -- Performance Comparison of YOLO Variants for Object Detection in Drone Based Imagery -- A Microservice Architecture with Load Balancing Mechanism in Cloud Environment -- An IoT Application for Detection and Monitoring of Manhole -- Resource Allocation in 5G & Beyond Edge-Slice Networking using Deep Reinforcement Learning -- The Important Influencing Factors in Machine Translation -- Damaged units return Investigation in Printer producing Industry utilizing Big Data -- Colorization of Grayscale Images: An Overview -- Evolutionary Approaches Towards Traditional to Deep Learning Based Chatbot -- Analysis of Machine Learning Algorithms for Detection of Cyber Bullying on Social Networks -- Sentiment Analysis of Political Tweets for Israel using Machine Learning -- A Novel Approach for Real-time Vehicle Re-identification using Content-based Image Retrieval with Relevance Feedback -- Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles -- RevCode for NLP in Indian Languages -- Application for Mood Detection of Students Using TensorFlow and Electron JS -- By Using CNN Technique and Webcam to Identify Face Mask Violation -- A Review on Internet of Things based Cloud Architecture and Its Application -- Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods -- HRescue: A Modern ML approach for Employee Attrition Prediction -- Using Machine Learning to Detect Botnets in Network Traffic -- Reducing Peak Electricity Demands of a Cluster of Buildings with Multi-agent Reinforcement Learning -- Virus Texture Classification using Genetic Algorithm and Pre-trained Convolutional Neural Networks -- Fog Computing enabled Internet of Things for resource optimization -- Network Media Content Model in the era of Smaft Devices -- Sentimental Analysis of Stock Market via Twitter -- Detection and Classification of Tumor Tissues in Colorectal Cancer using Pathology Images -- Challenges encountered in the implementation of machine learning in the healthcare industry -- Performance Evaluation of Deep Learning Architectures for Recognition of Moisture in Dried Coconut Copra -- Training Generative Adversarial Networks(GANs) over Parameter Server and Worker Node Architecture -- Handwritten Digit Recognition using Neural Network with Gabor Filter for Information Fusion -- FAFOC: Fog Based Energy Efficient Clustering Technique for Wireless Sensor Networks -- Evaluation of Supervised Classifiers for Fake News Detection using Twitter Dataset -- Analysis of Pest Recognition using Lightweight CNN -- Early Prediction of Alzheimer Disease Using Ensemble Learning Models -- Cattle Identification from Muzzle Print Image Pattern Using Hybrid Feature Descriptors and SVM -- Evaluate and Detection of Breast Cancer using Data Mining Models -- Lung Cancer Disease Prediction Using Machine Learning Techniques -- Video to Text Generation Using Sentence Vector and Skip Connections -- Machine Learning Techniques for COVID-19 pandemic updates for Analysis, Visualization and Prediction system -- Design and CFD Analysis of Drone Thrust with Duct -- Index. |
| Record Nr. | UNINA-9910729895203321 |
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Misra Rajiv
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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