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Applied Machine Learning and Data Analytics [[electronic resource] ] : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Applied Machine Learning and Data Analytics [[electronic resource] ] : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Autore Jabbar M. A
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (252 pages)
Disciplina 006.31
Altri autori (Persone) Ortiz-RodríguezFernando
TiwariSanju
SiarryPatrick
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Image processing—Digital techniques
Computer vision
Database management
Artificial Intelligence
Computer and Information Systems Applications
Computer Imaging, Vision, Pattern Recognition and Graphics
Database Management
Soggetto non controllato Science
ISBN 3-031-34222-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Deep Learning Methods to Automate Embryo Classification and Evaluation -- Univariate feature fitness measures for classification problems: An empirical assessment -- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading -- Keratoconus Classification using Feature Selection and Machine Learning Approach -- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model -- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets -- Brain MRI Image Classification using Deep Learning -- A Real Time Face Recognition Attendance using Machine Learning -- Towards abalone differentiation through machine learning -- Better Qualitative Searching for Effecting the Performance of Machine Translation -- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network -- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores -- Implementation of YOLOv7 Model for Pest Detection -- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective -- A novel approach: Semantic web enabled subject searching for Union Catalogue -- How People in South America is Facing Monkeypox Outbreak? -- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems.
Record Nr. UNISA-996546829903316
Jabbar M. A  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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Applied Machine Learning and Data Analytics : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Applied Machine Learning and Data Analytics : 5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22–23, 2022, Revised Selected Papers / / edited by M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
Autore Jabbar M. A
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (252 pages)
Disciplina 006.31
Altri autori (Persone) Ortiz-RodríguezFernando
TiwariSanju
SiarryPatrick
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Application software
Image processing - Digital techniques
Computer vision
Database management
Artificial Intelligence
Computer and Information Systems Applications
Computer Imaging, Vision, Pattern Recognition and Graphics
Database Management
Aprenentatge automàtic
Mineria de dades
Dades massives
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031342226
3031342224
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Deep Learning Methods to Automate Embryo Classification and Evaluation -- Univariate feature fitness measures for classification problems: An empirical assessment -- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading -- Keratoconus Classification using Feature Selection and Machine Learning Approach -- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model -- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets -- Brain MRI Image Classification using Deep Learning -- A Real Time Face Recognition Attendance using Machine Learning -- Towards abalone differentiation through machine learning -- Better Qualitative Searching for Effecting the Performance of Machine Translation -- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network -- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores -- Implementation of YOLOv7 Model for Pest Detection -- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective -- A novel approach: Semantic web enabled subject searching for Union Catalogue -- How People in South America is Facing Monkeypox Outbreak? -- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning -- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems.
Record Nr. UNINA-9910728389403321
Jabbar M. A  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Artificial Intelligence: Towards Sustainable Intelligence : First International Conference, AI4S 2023, Pune, India, September 4-5, 2023, Proceedings / / edited by Sanju Tiwari, Fernando Ortiz-Rodríguez, Sashikala Mishra, Edlira Vakaj, Ketan Kotecha
Artificial Intelligence: Towards Sustainable Intelligence : First International Conference, AI4S 2023, Pune, India, September 4-5, 2023, Proceedings / / edited by Sanju Tiwari, Fernando Ortiz-Rodríguez, Sashikala Mishra, Edlira Vakaj, Ketan Kotecha
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (234 pages)
Disciplina 060
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Machine learning
Database management
Image processing - Digital techniques
Computer vision
Application software
Artificial Intelligence
Machine Learning
Database Management System
Computer Imaging, Vision, Pattern Recognition and Graphics
Computer and Information Systems Applications
Computer Vision
ISBN 9783031479977
3031479971
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Keynote Abstracts -- Data Analytics for Sustainable Global Supply Chains -- Building Trustworthy Neuro-Symbolic AI Systems with Explainability and Safety: Knowledge is the Key -- Contents -- An Approach Towards Mitigation of Renewable Energy Curtailment -- 1 Introduction -- 2 Test Case Modifications and Assumptions -- 2.1 Test Case and Modifications -- 2.2 Assumptions -- 3 Solution Methodologies and Cases -- 3.1 Solution Methodology -- 3.2 Configuration of Cases -- 4 Results and Discussion -- 4.1 Results -- 4.2 Discussion -- 5 Conclusion and Future Scope -- References -- ESG and IoT: Ensuring Sustainability and Social Responsibility in the Digital Age -- 1 Introduction -- 2 Overview of ESG and Sustainability -- 2.1 Environmental, Social and Governance Impacts of IoT -- 2.2 The Contribution of Artificial Intelligence to ESG -- 2.3 Industry 4.0 and Its Potential Impact on ESG -- 3 Proposed Approach -- 3.1 Proposed Architecture -- 3.2 SAS® Intelligent Monitoring: Product Overview -- 4 Possible Applications -- 5 Future Work -- 6 Conclusion -- References -- AI and Assistive Technologies for Persons with Disabilities - Worldwide Trends in the Scientific Production Using Bibliometrix R Tool -- 1 Introduction -- 1.1 Background -- 1.2 Problem Statement -- 2 Methodology -- 2.1 Data Collection -- 2.2 Analysis -- 3 Results and Discussion -- 3.1 Production -- 3.2 Sources -- 3.3 Authors -- 3.4 Documents -- 4 Conclusion -- 4.1 Limitations and Future Research Directions -- Appendix A: -- References -- Leaf Disease Detection Using Transfer Learning -- 1 Introduction -- 2 Related Work -- 3 Model Architecture and Design -- 3.1 ResNet -- 3.2 MobileNet -- 3.3 VGG16 -- 3.4 Design Consideration -- 4 Dataset Preparation and Training -- 4.1 Kaggle Dataset: Potato, Tomato, and Pepper Black Diseases -- 4.2 Training the Models.
5 Results -- 5.1 VGG16 Model -- 5.2 ResNet Model -- 5.3 MobileNet Model -- 5.4 Performance Comparison -- 6 Conclusion -- References -- Automated Scene Recognition for Environmental Monitoring: A Cluster Analysis Approach using Intel Image Classification Dataset -- 1 Introduction -- 2 Literature Review -- 3 Data Preprocessing and EDA -- 3.1 About the Dataset -- 3.2 Data Transformation -- 3.3 Dimensionality Reduction with PCA for Improved Clustering Efficiency -- 4 Clustering Methods for Scene Recognition -- 4.1 K Means Clustering Technique -- 4.2 Agglomerative Clustering -- 4.3 BIRCH (Balanced Iterative Reducing and Clustering Using Hierarchies) -- 4.4 DBSCAN (Density Based Spatial Clustering of Applications with  Noise) -- 4.5 Spectral -- 5 Evaluation of Clustering Algorithms -- 5.1 Silhouette Score -- 5.2 Davis-Bouldin Score -- 5.3 Calinski-Harabasz Score -- 6 Conclusion and Future Scope -- References -- Unveiling the Potentials of Deep Learning Techniques for Accurate Alzheimer's Disease Neuro Image Classification -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 The Proposed Bi-LSTM-AJSO Model Development -- 5 Experimentation -- 5.1 Datasets Used and Model Training and Testing -- 5.2 Comparison with Other Machine and Deep Learning Approaches -- 5.3 Execution Time Comparisons -- 5.4 Interpretability Analysis and Significance -- 6 Conclusion and Future Directions -- References -- Food Composition Knowledge Extraction from Scientific Literature -- 1 Introduction -- 2 Food Composition Knowledge -- 3 Food Composition Knowledge Extraction from Scientific Papers -- 3.1 Knowledge Sources -- 3.2 Knowledge Extraction -- 4 Knowledge Validation -- 4.1 Matching to Existing Vocabularies -- 5 Conclusion -- References -- Design and Analysis of an Algorithm Based on Biometric Block Chain for Efficient data sharing in VANET -- 1 Introduction.
2 Literature Review -- 3 Proposed Work -- 4 Experimental Result -- 5 Conclusion -- References -- An Improved Deep Learning Model Implementation for Pest Species Detection -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Deep Learning -- 3.3 Data Augmentation -- 3.4 Model Architecture -- 3.5 Classification -- 4 Results -- 5 Conclusion -- References -- Identification of Diseases Affecting Mango Leaves Using Deep Learning Models -- 1 Introduction -- 2 Literature Survey -- 2.1 Disease Affecting Mango Leaves -- 2.2 Factor Influencing Fungal Diseases -- 3 Dataset Description -- 4 Methodology -- 4.1 Feature Extraction -- 4.2 Classification -- 4.3 Model Evaluation -- 4.4 Prediction -- 5 Results and Discussion -- 6 Conclusion -- References -- RWNR: Radial Basis Feed Forward Neural Network Driven Semantically Inclined Strategy for Web 3.0 Compliant News Recommendation -- 1 Introduction -- 2 Related Works -- 3 Proposed Architecture -- 4 Implementation -- 5 Results and Performance Evaluation -- 6 Conclusion -- References -- WDNRegClass - A Hybrid ANN + Bayesian Learning Model to Reduce Temporal Predictive In-Variance Towards Mitigation of WDN Revenue Losses -- 1 Introduction -- 2 Literature Study -- 2.1 Leak Identification Using Hydraulic Model Parameters: -- 2.2 Data-Driven Approaches with Sequential or Temporal Data: -- 2.3 The Integration of Bayesian Belief Propagation: -- 3 Proposed Work -- 4 Result and Discussion -- 5 Conclusion -- References -- Real-Time Birds Shadow Detection for Autonomous UAVs -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Acquiring a Sample Dataset -- 3.2 Shadow Generation -- 3.3 Data Cleaning -- 3.4 Post-processing -- 3.5 Detection Model Training -- 4 Results and Discussion -- 5 Conclusion -- References.
Knowledge Graph for Fraud Detection: Case of Fraudulent Transactions Detection in Kenyan SACCOs -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 4 Results -- 4.1 Sample Fraudulent Funds Movement Detection -- 5 Conclusion and Future Work -- References -- Conceptual Framework for Representing Knowledge in the Energy Sector -- 1 Introduction -- 2 State of the Art -- 3 Methodology for Semantic Data Model Design and Construction -- 3.1 Step 1: Ontology Requirements Specification -- 3.2 Step 2: Ontology Analysis -- 3.3 Step 3: Overview of Ontological Modules -- 3.4 Step 4: Interaction with Stakeholders and Ontology Formalization -- 4 Overview of Main Pilots' Topics -- 5 Methodology Application -- 5.1 Application of Step 1 - Ontology Requirements Specification -- 5.2 Application of Step 2 - Ontology Analysis -- 5.3 Application of Step 3 - Overview of Ontological Model -- 5.4 Application of Step 4 - Formalization of Semantic Data Models -- 5.5 Use Case Instantiation with an Illustrative Example -- 6 Discussion -- 7 Conclusion -- References -- Semantic Carbon Footprint of Food Supply Chain Management -- 1 Introduction -- 2 Ontology Methodology -- 2.1 Ontology Requirements Specification -- 2.2 Competency Questions -- 2.3 Users -- 2.4 Intended Use -- 3 Ontology Design -- 3.1 Data Sources -- 3.2 Evaluation -- 4 Conclusion -- References -- Author Index.
Record Nr. UNINA-9910767584103321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Electronic Governance with Emerging Technologies : Third International Conference, EGETC 2024, Jakarta, Indonesia, September 25–26, 2024, Revised Selected Papers / / edited by Fernando Ortiz-Rodriguez, Sanju Tiwari, Adila Alfa Krisnadhi, Jose Melchor Medina-Quintero, David Valle-Cruz
Electronic Governance with Emerging Technologies : Third International Conference, EGETC 2024, Jakarta, Indonesia, September 25–26, 2024, Revised Selected Papers / / edited by Fernando Ortiz-Rodriguez, Sanju Tiwari, Adila Alfa Krisnadhi, Jose Melchor Medina-Quintero, David Valle-Cruz
Autore Ortiz-Rodriguez Fernando
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (238 pages)
Disciplina 621.39
004.6
Altri autori (Persone) TiwariSanju
KrisnadhiAdila Alfa
Medina-QuinteroJose Melchor
Valle-CruzDavid
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Software engineering
Application software
Computer Engineering and Networks
Software Engineering
Computer Communication Networks
Computer and Information Systems Applications
ISBN 9783031770296
9783031770289
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Empowering Multiple Sclerosis Patients: A Conceptual Technological Framework 4.0 for Personalized Automated Smart-Homes in Healthcare 4.0. -- Spatial Temporal Signatures: A Hybrid CNN-LSTM Architecture for Improved Sign Language Recognition -- Ecological Development of A Novel Machine Learning Technique for Electricity Consumption and Cost Prediction in Cloud Computing. -- Blockchain Based Decentralized Approach for Securing Fog Computing Environment. -- Enhancing Face Spoofing Detection via CNN Model Integration with Normalized Features. -- Study of ZigBee-Based Communication to Share Operative Weather Information between UASs in the Frame of Smart Cities Concept. -- Automating Exam Assessment Through Digital Transformation and Image Processing. -- An Analysis of Ethical Dimension of Machine Learning Models in Software Defect Prediction in Healthcare Sector. -- Leaf Diseases Detection in Peach using EfficientNet. -- MedInsight: A Personalized Prescription Recommendation Using Machine Learning. -- Intelligent Machine Learning for Cybersecurity: Anomaly Detection in Network Intrusion Systems and Beyond. -- Enhancing Cyber Resilience: Implementing DFMCAI for Threat Detection and Analysis. -- Forecasting Future Credit Card Delinquencies: Leveraging Data Tables and Visual Analysis for Enhanced Accuracy. -- Navigating the Strategic Landscape: An In-Depth Review of the Strategic Planning Process. -- Exploring text vectorization on the polarity detection of Spanish comments. -- Evolutionary Optimization Techniques for the Design of Three-Dimensional UAV’s Antenna Arrays. -- Cooperative Multi-Agent Pursuit-Evasion Using Convolutional Neural Networks.
Record Nr. UNINA-9910983314303321
Ortiz-Rodriguez Fernando  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Generative AI: Techniques, Models and Applications / / by Rajan Gupta, Sanju Tiwari, Poonam Chaudhary
Generative AI: Techniques, Models and Applications / / by Rajan Gupta, Sanju Tiwari, Poonam Chaudhary
Autore Gupta Rajan
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (XXV, 242 p. 25 illus., 16 illus. in color.)
Disciplina 006.3
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Computational intelligence
Engineering - Data processing
Artificial intelligence
Computational Intelligence
Data Engineering
Artificial Intelligence
ISBN 3-031-82062-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Artificial Intelligence -- Computational Foundation of Generative AI Models -- Generative AI Techniques and Models -- Foundation Models -- Large Language Models -- Large Generative Models for Different Data Types -- Prompt Engineering -- Applications of Generative AI Models -- Ethics, Governance, Security and Privacy -- Fairness and Biases in Generative AI.
Record Nr. UNINA-9910992778603321
Gupta Rajan  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Knowledge Graphs and Semantic Web [[electronic resource] ] : 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13–15, 2023, Proceedings / / edited by Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, Carlos Bobed
Knowledge Graphs and Semantic Web [[electronic resource] ] : 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13–15, 2023, Proceedings / / edited by Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, Carlos Bobed
Autore Ortiz-Rodriguez Fernando
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (303 pages)
Disciplina 006.3
Altri autori (Persone) Villazón-TerrazasBoris
TiwariSanju
BobedCarlos
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Database management
Mathematics - Data processing
Data structures (Computer science)
Information theory
Information technology - Management
Artificial Intelligence
Database Management System
Computational Mathematics and Numerical Analysis
Data Structures and Information Theory
Computer Application in Administrative Data Processing
ISBN 3-031-47745-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An ontology for Tuberculosis Surveillance System -- Should I Stay or Should I Go: A New Reasoner for Description Logic -- An Intelligent Article Knowledge Graph Formation Framework using BM25 Probabilistic Retrieval Model -- Defeasible Reasoning with Knowledge Graphs -- Recommendation of Learning Paths based on Open Educational Resources -- An enterprise architecture for interpersonal activity knowledge management -- Unlocking the Power of Semantic Interoperability in Industry 4.0: A Comprehensive Overview -- On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs -- Towards a Framework for Seismic Data -- Using Pregel to create Knowledge Graphs subsets described by non-recursive Shape Expressions -- ITAQ : Image Tag Recommendation Framework for Aquatic Species integrating Semantic Intelligence via Knowledge Graph -- Automatic Semantic Typing of Pet E-Commerce Products Using Crowdsourced Reviews: An Experimental Study -- A Modular Ontology for MODS – Metadata Object Description Schema -- A Topic Model for the Data Web -- Automating the Generation of Competency Questions for Ontologies with AgOCQs -- KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph -- Ontology-Based Models of Chatbots for Populating Knowledge Graphs -- An Ontology for Reasoning about Fairness in Regression and Machine Learning -- SCIVO: Skills to Career with Interests and Values Ontology -- Topic Modeling for Skill Extraction from Job Postings.
Record Nr. UNISA-996558464303316
Ortiz-Rodriguez Fernando  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Graphs and Semantic Web : 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13–15, 2023, Proceedings / / edited by Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, Carlos Bobed
Knowledge Graphs and Semantic Web : 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13–15, 2023, Proceedings / / edited by Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, Carlos Bobed
Autore Ortiz-Rodriguez Fernando
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (303 pages)
Disciplina 006.3
Altri autori (Persone) Villazón-TerrazasBoris
TiwariSanju
BobedCarlos
Collana Lecture Notes in Computer Science
Soggetto topico Artificial intelligence
Database management
Mathematics - Data processing
Data structures (Computer science)
Information theory
Information technology - Management
Artificial Intelligence
Database Management System
Computational Mathematics and Numerical Analysis
Data Structures and Information Theory
Computer Application in Administrative Data Processing
ISBN 9783031477454
3031477456
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto An ontology for Tuberculosis Surveillance System -- Should I Stay or Should I Go: A New Reasoner for Description Logic -- An Intelligent Article Knowledge Graph Formation Framework using BM25 Probabilistic Retrieval Model -- Defeasible Reasoning with Knowledge Graphs -- Recommendation of Learning Paths based on Open Educational Resources -- An enterprise architecture for interpersonal activity knowledge management -- Unlocking the Power of Semantic Interoperability in Industry 4.0: A Comprehensive Overview -- On the Representation of Dynamic BPMN Process Executions in Knowledge Graphs -- Towards a Framework for Seismic Data -- Using Pregel to create Knowledge Graphs subsets described by non-recursive Shape Expressions -- ITAQ : Image Tag Recommendation Framework for Aquatic Species integrating Semantic Intelligence via Knowledge Graph -- Automatic Semantic Typing of Pet E-Commerce Products Using Crowdsourced Reviews: An Experimental Study -- A ModularOntology for MODS – Metadata Object Description Schema -- A Topic Model for the Data Web -- Automating the Generation of Competency Questions for Ontologies with AgOCQs -- KnowWhereGraph-Lite: A Perspective of the KnowWhereGraph -- Ontology-Based Models of Chatbots for Populating Knowledge Graphs -- An Ontology for Reasoning about Fairness in Regression and Machine Learning -- SCIVO: Skills to Career with Interests and Values Ontology -- Topic Modeling for Skill Extraction from Job Postings.
Record Nr. UNINA-9910755080503321
Ortiz-Rodriguez Fernando  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) / / edited by Ajith Abraham, M. A. Jabbar, Sanju Tiwari, Isabel M. S. Jesus
Proceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019) / / edited by Ajith Abraham, M. A. Jabbar, Sanju Tiwari, Isabel M. S. Jesus
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (323 pages) : illustrations
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-030-49345-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Generalized Fuzzy Rough Sets Based on New Fuzzy Similarity Relation -- SV-NET: A Deep Learning Approach To Video Based Human Activity Recognition -- Machine Learning based Framework for Recognizing Traffic Signs on Road Surfaces -- Cursor Control Using Face Gestures -- A Smart Discussion Forum Website -- Certificate Management System Using Blockchain -- Reality Check in Virtual Space for Privacy Behavior of Indian Users of Social Networking Sites -- Application of artificial electric field algorithm for economic load dispatch problem -- Intelligent Data Compression Policy for Hadoop Performance Optimization.
Record Nr. UNINA-9910484516803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Tools, languages, methodologies for representing semantics on the web of things / / edited by Shikha Mehta, Sanju Tiwari, Patrick Siarry, M.A. Jabbar
Tools, languages, methodologies for representing semantics on the web of things / / edited by Shikha Mehta, Sanju Tiwari, Patrick Siarry, M.A. Jabbar
Pubbl/distr/stampa Hoboken, New Jersey : , : ISTE Ltd / John Wiley and Sons Inc, , [2022]
Descrizione fisica 1 online resource (272 pages)
Disciplina 929.605
Soggetto topico Semantic Web
Internet of things
ISBN 1-394-17146-3
1-394-17144-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910829813103321
Hoboken, New Jersey : , : ISTE Ltd / John Wiley and Sons Inc, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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