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The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020) / / edited by Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
| The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020) / / edited by Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (450 pages) |
| Disciplina |
371.33
378.016 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Education Computational Intelligence Data Engineering Education, general |
| ISBN | 3-030-57799-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910733724103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The 12th Conference on Information Technology and Its Applications [[electronic resource] ] : Proceedings of the International Conference CITA 2023 / / edited by Ngoc Thanh Nguyen, Hoa Le-Minh, Cong-Phap Huynh, Quang-Vu Nguyen
| The 12th Conference on Information Technology and Its Applications [[electronic resource] ] : Proceedings of the International Conference CITA 2023 / / edited by Ngoc Thanh Nguyen, Hoa Le-Minh, Cong-Phap Huynh, Quang-Vu Nguyen |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (414 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
Le-MinhHoa
HuynhCong Phap NguyenQuang-Vu |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Engineering—Data processing
Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-36886-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Conference Organization -- Contents -- Data Science and Artificial Intelligence -- A New ConvMixer-Based Approach for Diagnosis of Fault Bearing Using Signal Spectrum -- 1 Introduction -- 2 Related Work -- 2.1 Conv-Mixer Neural Networks -- 2.2 Siamese Neural Networks -- 3 Methodology -- 3.1 General Architecture for Failure Diagnosis -- 3.2 The Proposed Siamese-Based Conv-Mixer Model -- 3.3 Diagnosis Network -- 4 Experiment -- 4.1 Datasets -- 4.2 Training -- 4.3 Results -- 4.4 Comparison -- 5 Conclusion -- References -- Differentially-Private Distributed Machine Learning with Partial Worker Attendance: A Flexible and Efficient Approach -- 1 Introduction -- 1.1 Background -- 1.2 Our Contributions -- 1.3 Paper Organization -- 2 Preliminaries -- 3 Our Proposed Algorithm -- 4 Experiments -- 5 Conclusion -- References -- Building Legal Knowledge Map Repository with NLP Toolkits -- 1 Introduction -- 2 Legal Knowledge Maps -- 2.1 Modeling -- 2.2 Hierarchy of Legislation -- 2.3 Legal Ontology Design -- 2.4 Legal Knowledge Map Construction -- 3 Implementation -- 3.1 Materials -- 3.2 Vietnamese NLP Toolkits -- 3.3 Building VLegalKMaps as Linked Data -- 4 Validations -- 4.1 Experiment Setup -- 4.2 Case Study -- 4.3 Statistics and Discussions -- 5 Conclusions and Future Works -- References -- Classification of Ransomware Families Based on Hashing Techniques -- 1 Introduction -- 2 Overview of Hashing Techniques in Malware Analysis -- 3 The Proposed Method -- 3.1 The Combined Analysis Method of Imphash, File Level Ssdeep Hashing, and Section Level Ssdeep Hashing -- 3.2 Preparing the Database -- 3.3 Predictive Model -- 3.4 Evaluation Criteria -- 4 Evaluations and Results -- 4.1 Experiment with Test Set Containing only Ransomware -- 4.2 Experiment with Test Set Containing both Malicious and Benign Samples.
4.3 Advantages and Limitations of the Proposed Method -- 5 Conclusions -- References -- Towards a New Multi-tasking Learning Approach for Human Fall Detection -- 1 Introduction -- 2 Related Work -- 2.1 Simulated Falls -- 2.2 Real Falls -- 2.3 Multi-task Learning -- 2.4 Summary -- 3 Multi-task Deep Neural Network for Fall Detection -- 3.1 Multiple Classifiers -- 3.2 Temporal Convolutional Network as a Feature Extractor -- 3.3 Re-sampling for Class and Task Balance -- 3.4 Data Augmentation -- 4 Experiments -- 4.1 Datasets -- 4.2 Experiment Settings -- 4.3 Evaluation and Discussion -- 5 Conclusion and Future Work -- References -- A Comparative Study of Wrapper Feature Selection Techniques in Software Fault Prediction -- 1 Introduction -- 2 Related Work -- 3 Feature Selection -- 3.1 Software Metrics -- 3.2 Genetic Algorithm -- 3.3 Particle Swarm Optimization -- 3.4 Whale Optimization Algorithm -- 3.5 Cuckoo Search -- 3.6 Mayfly Algorithm -- 3.7 Binary Bat Algorithm -- 3.8 Feature Selection Details -- 4 Methodology -- 4.1 Proposed Approach -- 4.2 VanillaGAN for Handling Imbalanced Data -- 4.3 Dataset -- 4.4 Evaluation Measurement -- 5 Experimental Result -- 6 Conclusion -- References -- Incorporating Natural Language-Based and Sequence-Based Features to Predict Protein Sumoylation Sites -- 1 Introduction -- 2 Methodology -- 2.1 Data Preparation and Pre-processing -- 2.2 Feature Extraction and Encoding -- 2.3 Model Construction, Learning and Evaluation -- 3 Results and Discussion -- 3.1 Impact of Amino Acid Composition and Single Features -- 3.2 Impact of Hybrid Features -- 3.3 RSXSUMO Model Construction -- 3.4 Comparison with Other Predictors -- 4 Conclusion -- References -- A Model for Alliance Partner Selection Based on GM (1, 1) and DEA Frameworks - Case of Vietnamese Coffee Industry -- 1 Introduction -- 2 Related Works -- 2.1 Strategic Alliance. 2.2 Grey Forecasting Model -- 2.3 Data Envelopment Analysis -- 3 Proposal Research -- 4 Case Study -- 4.1 DMU Collection -- 4.2 Inputs and Outputs Selection -- 4.3 Forecast the Performance of All DMU by GM (1, 1) Model. -- 4.4 Analysis Performance Before Alliance -- 4.5 Analysis the Performance After Alliance -- 5 Conclusions -- References -- Car Detector Based on YOLOv5 for Parking Management -- 1 Introduction -- 2 Related Works -- 2.1 Traditional Machine Learning-Based Methods -- 2.2 CNN-Based Methods -- 3 Methodology -- 3.1 Proposed Network Architecture -- 3.2 Loss Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimental Setup -- 4.3 Experimental Results -- 4.4 Ablation Study -- 5 Conclusion -- References -- Deep Learning-Based Approach for Automatic Detection of Malaria in Peripheral Blood Smear Images -- 1 Introduction -- 2 Related Works -- 3 Experiments -- 3.1 Data Collection -- 3.2 Exploratory Data Analysis -- 3.3 Two-Stage Approach -- 4 Results and Discussions -- 4.1 Evaluation Metrics -- 4.2 Results -- 5 Conclusion -- References -- An Improved Transfer Learning-Based Approach for Detecting Abnormal Cervical Cells from Pap Smear Microscopic Images -- 1 Introduction -- 2 Abnormal Cervical Cells and Preprocessing Data -- 2.1 Abnormal Cervical Cells -- 2.2 Exploratory Data Analysis and Preprocessing -- 3 Transfer Learning and Proposed Approach -- 3.1 ResNet50v2 -- 3.2 EfficientNetv2L -- 3.3 Proposed Approach Based on Transfer Learning -- 4 Experimental Results -- 5 Conclusion -- References -- Digital Economy -- Emotional Intelligence and Social Media Site Experiences' Effects on College Choice Behavior: The Mediating Role of Brand Attitude -- 1 Introduction -- 2 Theoretical Background and Hypotheses -- 2.1 Website Experiences and Emotional intelligence -- 2.2 The Attitude Toward Website Model - AWS Model. 2.3 The Research Model and Hypotheses -- 3 Research Method -- 4 Research Result -- 4.1 Descriptive Data Statistics -- 4.2 Reliability Test Results -- 4.3 Exploratory Factor Analysis (EFA) Results -- 4.4 Research Model Testing -- 5 Discussion -- 6 Conclusion -- References -- Image and Natural Language Processing -- A Multi Context Decoder-based Network with Applications for Polyp Segmentation in Colonoscopy Images -- 1 Introduction -- 2 Related Work -- 2.1 Vision Transformer -- 2.2 Fusion On Multi Resolution Feature Map -- 3 Methodology -- 3.1 Overview -- 3.2 Generate Context Feature Map (GCF) -- 3.3 Decoder Block -- 4 Experiments -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Implementation Details -- 4.4 Representative Results -- 4.5 Comparative Results -- 5 Conclusion -- References -- AMG-Mixer: A Multi-Axis Attention MLP-Mixer Architecture for Biomedical Image Segmentation -- 1 Introduction -- 2 Related Work -- 3 Proposed Network Architecture -- 3.1 AxialMBConv Token Mix and Mixer Building Block -- 3.2 Multi-scale Multi-axis MLP Gated (MS-MAMG) -- 3.3 Decoder Unit -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Strategy -- 4.3 Evaluation Metrics -- 4.4 Representative Results -- 4.5 Comparative Results -- 5 Conclusion -- References -- Investigating YOLO Models for Rice Seed Classification -- 1 Introduction -- 2 Methodology -- 2.1 YOLOv5 -- 2.2 YOLOv6 -- 2.3 YOLOv7 -- 3 Experiments and Results -- 3.1 Data Description -- 3.2 Performance Indicator -- 3.3 Result and Discussion -- 4 Conclusion -- References -- Extending OCR Model for Font and Style Classification -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Problem Formulation -- 3.2 Overview -- 3.3 Encoder -- 3.4 Decoder -- 3.5 Image-wise Font Clsasification -- 3.6 Style Classification -- 3.7 Loss Function -- 4 Experiments -- 4.1 Experiment Setting -- 4.2 Benchmarks. 4.3 Experiment Result and Discussion -- 5 Conclusion -- References -- STG-SimVP: Spatiotemporal GAN-Based SimVP for Video Prediction -- 1 Introduction -- 2 Related Work -- 2.1 Video Frame Synthesis -- 2.2 Generative Adversarial Networks - GAN -- 2.3 SimVP -- 3 Proposed Methods -- 3.1 STG-SimVP -- 3.2 Dual Discriminators -- 3.3 Objective Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Training Details -- 4.3 Comparisons With State-of-the-Art Methods -- 5 Ablation Study -- 6 Limitations -- 7 Conclusion -- References -- Tritention U-Net: A Modified U-Net Architecture for Lung Tumor Segmentation -- 1 Introduction -- 2 Tritention U-Net Architechture (TU-Net) -- 2.1 Architechture Overview -- 2.2 Backbone U-Net Architecture -- 2.3 Tritention Gate -- 3 Experimental and Results -- 3.1 Dataset -- 3.2 Experimental Setup -- 3.3 Results -- 4 Conclusion -- References -- Multi-modal with Multiple Image Filters for Facial Emotion Recognition -- 1 Introduction -- 2 Multiple Filter Levels for FER -- 2.1 Multiple Model -- 2.2 Dropping Pixels - Processor -- 2.3 Blurring Image - Processor -- 3 Experimental and Results -- 3.1 Dataset -- 3.2 Experimental Setup -- 3.3 Results -- 4 Conclusion -- References -- Few-Shots Novel Space-Time View Synthesis from Consecutive Photos -- 1 Introduction -- 2 Related Work -- 3 Proposed Methods -- 3.1 Background: Neural Scene Flow Fields (NSFF) -- 3.2 NSFF with Encoder -- 4 Experiments -- 4.1 Implement Details -- 4.2 Evaluations -- 5 Limitations -- 6 Conclusion -- References -- Information Technology Skills Extractor for Job Descriptions in vku-ITSkills Dataset Using Natural Language Processing -- 1 Introduction -- 2 Preliminary -- 3 Construct IT Skills Dictionary and vku-ITSkills Dataset -- 4 The Proposed NLP Pipeline for IT Skills Extractor -- 4.1 Tokenizer -- 4.2 Transformers Based Token Embedding. 4.3 Part of Speech (POS) Tagging, Noun Phrases and Combination Rules. |
| Record Nr. | UNINA-9910736019003321 |
Nguyen Ngoc Thanh
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021) / / edited by Juan José Gude Prego, José Gaviria de la Puerta, Pablo García Bringas, Héctor Quintián, Emilio Corchado
| 14th International Conference on Computational Intelligence in Security for Information Systems and 12th International Conference on European Transnational Educational (CISIS 2021 and ICEUTE 2021) / / edited by Juan José Gude Prego, José Gaviria de la Puerta, Pablo García Bringas, Héctor Quintián, Emilio Corchado |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (430 pages) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Computational Intelligence Data Engineering |
| ISBN | 3-030-87872-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | BIECO Runtime Auditing Framework -- Basic aspects in redundancy-based intrusion tolerance -- A Survey on the State of the Art of Vulnerability Assessment Techniques -- Comparison of Safety and Security analysis techniques -- Longitudinal study of grades for the Industrial Electronics and Automation Engineering degree programme -- Analysis of students' online interactions in the Covid era from the perspective of anomaly detection -- Evaluation of e-learning criteria to improve the academic and functional results of PhD studies -- Development of competencies applying the project method. Application in environmental engineering -- Bioengineering as a strategy for the consolidation of innovation and technological development processes in the central zone of Colombia -- Challenges and competences in Master Degrees from a Comprehensive Security perspective. |
| Record Nr. | UNINA-9910733725203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXXI, 884 p. 221 illus., 150 illus. in color.) |
| Disciplina | 620.00285 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62743-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483068103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy [[electronic resource] ] : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (XXXII, 863 p. 222 illus., 128 illus. in color.) |
| Disciplina | 004.678 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62746-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483082303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 2 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer International Publishing, 2021 |
| Descrizione fisica | 1 online resource (XXXII, 863 p. 222 illus., 128 illus. in color.) |
| Disciplina | 004.678 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62746-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910863143603321 |
| Springer International Publishing, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma
| The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy : SPIoT-2020, Volume 1 / / edited by John MacIntyre, Jinghua Zhao, Xiaomeng Ma |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Springer International Publishing, 2021 |
| Descrizione fisica | 1 online resource (XXXI, 884 p. 221 illus., 150 illus. in color.) |
| Disciplina | 620.00285 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering—Data processing
Cooperating objects (Computer systems) Computational intelligence Machine learning Big data Data Engineering Cyber-Physical Systems Computational Intelligence Machine Learning Big Data |
| ISBN | 3-030-62743-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910863143703321 |
| Springer International Publishing, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Information Networking and Applications [[electronic resource] ] : Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), Volume 1 / / edited by Leonard Barolli
| Advanced Information Networking and Applications [[electronic resource] ] : Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), Volume 1 / / edited by Leonard Barolli |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XXIX, 577 p. 249 illus., 188 illus. in color.) |
| Disciplina | 620.00285 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Engineering—Data processing
Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-29056-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910682552103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advancement of Machine Intelligence in Interactive Medical Image Analysis [[electronic resource] /] / edited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal
| Advancement of Machine Intelligence in Interactive Medical Image Analysis [[electronic resource] /] / edited by Om Prakash Verma, Sudipta Roy, Subhash Chandra Pandey, Mamta Mittal |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (336 pages) |
| Disciplina | 610.28563 |
| Collana | Algorithms for Intelligent Systems |
| Soggetto topico |
Engineering—Data processing
Machine learning Big data Signal processing Image processing Speech processing systems Optical data processing Data Engineering Machine Learning Big Data/Analytics Signal, Image and Speech Processing Image Processing and Computer Vision |
| ISBN | 981-15-1100-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pragmatic Medical Image Analysis and Deep Learning: An Emerging Trend -- Aspect of Big Data in Medical Imaging to Extract the Hidden Information Using HIPI in HDFS Environment -- Image Segmentation using Deep Learning Techniques -- Application of Machine Intelligence in Digital Pathology: Identification of Falciparum Malaria in Thin Blood Smear Image -- Efficient ANN Algorithms for Sleep Apnea Detection using Transform Methods -- Medical Image Processing in Detection of Abdomen Diseases -- Multi-Reduct Rough Set Classifier for Computer-Aided Diagnosis in Medical Data -- A New Approach of Intuitionistic Fuzzy Membership Matrix in Medical Diagnosis with Application -- Image Analysis and Automation of Data Processing in Assessment of Dental X-ray (OPG) Using MATLAB and Excel VBA -- Detecting Bone Fracture Using Transfer Learning -- GAN based novel approach for data augmentation with improved disease classification -- Automated glaucoma type identification using Machine learning or Deep learning techniques -- Glaucoma Detection from Retinal Fundus Images using RNFL Texture Analysis -- Artificial Intelligence based Glaucoma Detection -- Security Issues of Internet of Things in Health-Care Sector: An Analytical Approach. |
| Record Nr. | UNINA-9910483975203321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances and New Developments in Fuzzy Logic and Technology : Selected Papers from IWIFSGN'2019 – The Eighteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets held on October 24-25, 2019 in Warsaw, Poland / / edited by Krassimir T. Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak, Jan W. Owsiński, Sotir S. Sotirov, Evdokia Sotirova, Eulalia Szmidt, Sławomir Zadrożny
| Advances and New Developments in Fuzzy Logic and Technology : Selected Papers from IWIFSGN'2019 – The Eighteenth International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets held on October 24-25, 2019 in Warsaw, Poland / / edited by Krassimir T. Atanassov, Vassia Atanassova, Janusz Kacprzyk, Andrzej Kałuszko, Maciej Krawczak, Jan W. Owsiński, Sotir S. Sotirov, Evdokia Sotirova, Eulalia Szmidt, Sławomir Zadrożny |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (334 pages) |
| Disciplina | 511.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Engineering—Data processing Computational Intelligence Data Engineering Lògica difusa |
| Soggetto genere / forma |
Llibres electrònics
Congressos |
| ISBN | 3-030-77716-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Issues in the Representation, Processing and Analyses of Uncertain Information -- Intuitionistic Fuzzy Temporal-Modal Operators -- 1 Introduction -- 2 Preliminary Remarks -- 3 Definitions of the Intuitionistic Fuzzy Implications 139, ..., 185 over Intuitionistic Fuzzy Sets -- 4 Intuitionistic Fuzzy Temporal-Modal Operators ``Necessity'' and ``Possibility'' -- 5 Conclusion -- References -- In Direction of Intuitionistic Fuzzy Arithmetic -- 1 Introduction -- 2 Intuitionistic Fuzzy Set and Type 2 Fuzzy Set -- 3 Alternative Definition of the Fuzzy Set Type 2 -- 4 Conclusions -- References -- A New Approach for an Intuitionistic Fuzzy Sugeno Integral Using Morphological Gradient Edge Detector -- 1 Introduction -- 2 Sugeno Measures and Fuzzy Integrals -- 2.1 Monotonic Measures -- 2.2 Sugeno Measure -- 2.3 Sugeno Integral -- 3 Sugeno Integral with Intuitionistic Fuzzy Sets -- 3.1 Intuitionistic Fuzzy Set -- 3.2 Sugeno Integral with Intuitionistic Fuzzy Set -- 3.3 Intuitionistic Fuzzy Sugeno Integral Using πA = 0.4 -- 4 Edge Detection -- 5 Simulation Results -- 6 Conclusion -- References -- M-Probabilistic Versions of the Strong Law of Large Numbers -- 1 Introduction -- 2 Selected Elements of M-Probability Theory -- 3 M-Probabilistic Versions of the Strong Law of Large Numbers -- 4 An Illustrative Example -- 5 Conclusions -- References -- Intuitionistic Fuzzy Probability and Almost Everywhere Convergence -- 1 Introduction -- 2 IF-Event, IF-Probability, IF-State and IF-Observable -- 3 Product Operation, Joint IF-Observable and Function of Several IF-Observables -- 4 Lower and Upper Limits, m-Almost Everywhere Convergence -- 5 P-Almost Everywhere Convergence -- 6 Conclusion -- References -- Classification of Images by Using Distance Functions Defined on Intuitionistic Fuzzy Sets -- 1 Introduction.
2 Intuitionistic Fuzzy Sets -- 3 Preparation of the Data -- 3.1 Pre-processing of the Images -- 3.2 Pre-processing of the Data -- 3.3 Classification of the Images -- 4 Experimental Results -- 5 Conclusions -- References -- A Study on Local Properties and Local Contrast in Fuzzy Setting -- 1 Introduction -- 2 Preliminaries -- 3 Local Contrast and Local Properties -- 4 Notes on Application -- 5 Conclusions -- References -- Note on the Zadeh's Extension Principle Based on Fuzzy Variable Approach -- 1 Introduction -- 2 Fuzzy Variables -- 2.1 Generalized Measure Theory -- 2.2 From Possibility Measures to Fuzzy Sets -- 2.3 Non-interacting Sets -- 2.4 Extension Principles -- 3 Conclusions -- References -- OFNBee Method Applied for Solution of Problems with Multiple Extremes -- 1 Introduction -- 2 OFN Ordered Fuzzy Numbers -- 3 Test Functions -- 4 Results -- 5 Conclusions -- References -- Imprecision Indexes of Oriented Fuzzy Numbers -- 1 Introduction -- 2 Oriented Fuzzy Numbers - Basic Facts -- 3 Evaluation of Imprecision for Oriented Fuzzy Numbers -- 4 Imprecision Evaluation for Trapezoidal Oriented Fuzzy Numbers -- 5 Portfolio Diversification -- 6 Final Remarks -- References -- Detailed Evaluation of Fuzzy Sets in Rule Conditions as a Key for Accurate and Explainable Rule-Based Systems -- 1 Introduction -- 2 Methods -- 2.1 Design of Fuzzy Membership Functions -- 2.2 Evaluation of Fuzzy Membership Functions -- 2.3 Fuzzy Rules Design and Fuzzy Belief Measure Calculation -- 3 Experiments -- 4 Discussion and Conclusions -- References -- Tests for Estimates of the Tolerance Relation Based on Pairwise Comparisons in Binary and Multivalent Form -- 1 Introduction -- 2 Estimation Problem, Form of Estimators and Their Properties for Binary Comparisons -- 2.1 Estimation Problem for Binary Comparisons -- 2.2 The Form of Estimator and Its Properties. 3 Tests for Verification of an Estimate of Tolerance Relation for Binary Comparisons -- 4 Estimation Problem, Form of Estimators and Their Properties for Multivalent Comparisons -- 4.1 Estimation Problem for Multivalent Comparisons -- 4.2 The Form of Estimator and Its Properties -- 5 Tests for Verification of an Estimate of Tolerance Relation for Multivalent Comparisons -- 6 Summary and Conclusions -- References -- Applications in Healthcare, Medicine, and Sports -- Opportunity for Obtaining an Intuitionistic Fuzzy Estimation for Health-Related Quality of Life Data -- 1 Introduction -- 2 Multi Layer Perceptron -- 3 Discussion -- 4 Conclusion -- References -- InterCriteria Analysis of the Blood Group Distribution of Patients of Saint Anna Hospital in 2015-2019 -- 1 Introduction -- 2 Input Data -- 3 Application of the InterCriteria Analysis - Results and Discussion -- 4 Conclusion -- References -- Application of the InterCriteria Analysis Method to a Data of Malignant Melanoma Disease for the Burgas Region for 2014-2018 -- 1 Introduction -- 2 An Application of the ICA -- 2.1 Applying ICA Approach for International Statistical Classification of Diseases and Health Problems Group for Malignant Melanoma of Skin -- 2.2 Applying ICA Approach for Marital Status and Gender Data -- 3 Discussions -- 4 Conclusion -- References -- A Generalized Net Model of the Abdominal Aorta and Its Branches as a Part of the Vascular System -- 1 Introduction -- 2 A Generalized Net Model of the Abdominal Aorta and Its Branches as a Part of the Vascular System -- 3 Conclusion -- References -- A Generalized Net Model of the Human Body Excretory System -- 1 Introduction -- 2 The Generalized Net Model -- 3 Conclusion -- References -- Clustering of InterCriteria Analysis Data Using a Malignant Neoplasms of the Digestive Organs Data -- 1 Introduction -- 2 InterCriteria Analysis. 3 Self Organizing Map Neural Networks -- 4 Testing with Data for Malignant Neoplasms of the Digestive Organs Data -- 5 Conclusion -- References -- Fuzzy-Based Algorithm for QRS Detection -- 1 Introduction -- 2 Overview of Algorithm -- 2.1 The Preprocessing Stage -- 2.2 Estimation of the Amplitude Threshold with Fuzzy c-Median Clustering Method -- 3 Numerical Experiment and Results -- 3.1 Data -- 3.2 Results -- 4 Conclusion -- References -- Influence of the Indoor Hockey "Push & -- Flick" Methodology on the Ball Speed During the Penalty Corner Shooting -- 1 Introduction -- 2 Methodology -- 3 InterCriteria Analysis Background -- 4 Results and Discussion from the Study on the Speed of the Ball When Executing a Penalty Corner Using Flick -- 4.1 Variation Analysis of the Speed of the Ball When Executing a Penalty Corner in Goal-Scoring Areas -- 4.2 InterCriteria Analysis of the Speed of the Ball When Executing a Penalty Corner in Goal-Scoring Areas -- 5 Conclusion -- References -- InterCriteria Analysis of Data Obtained from University Students Practicing Sports Activities -- 1 Introduction -- 2 Presentation of the Input Data -- 3 Application of the InterCriteria Analysis -- 4 Conclusions -- References -- Applications in Industry, Business and Critical Infrastructure -- Forest Fire Analysis Based on InterCriteria Analysis -- 1 Introduction -- 2 Forest Fires Data -- 3 Methods Theoretical Background -- 3.1 Methodology of Lubenov -- 4 InterCriteria Analysis -- 5 Results and Discussion -- 6 Conclusion -- References -- Generalized Net Model of Overall Telecommunication System with Queuing -- 1 Introduction -- 2 Classical Conceptual Model of Overall Telecommunication System -- 2.1 Base Virtual Devices Representation and Their Parameters -- 2.2 Types and Names of the Base Virtual Devices -- 2.3 Comprise Virtual Devices. 3 Generalized Net Model of Overall Telecommunication System with Queuing -- 3.1 Generalized Net Model of the Dialing Stage -- 3.2 Generalized Net Model of the Switching Stage -- 3.3 Generalized Net Model of the Ringing Stage -- 3.4 Generalized Net Model of the Communication Stage -- 4 Analytical Modeling of the Overall Telecommunication System Using the GN Model -- 4.1 Static and Dynamic Parameters of the Model -- 4.2 Main Assumptions -- 4.3 Equation for the Traffic Intensity of the Called Terminals -- 5 Conclusions -- References -- Generalized Net Model of Information Security Activities in the Automated Information Systems -- 1 Introduction -- 2 Generalized Net Model of Information Security Activities in Automated Information Systems -- 3 Conclusion -- References -- Use of OFN in the Short-Term Prediction of Exchange Rates -- 1 Introduction -- 2 Exchange Rates and Currency Markets -- 3 Fuzzy Observation of the Exchange Rate of Euro in Relation to USD -- 4 Formalizing the Description of Fuzzy Observation -- 5 Conclusion -- References -- Ordered Fuzzy Numbers for IoT Smart Home Solution -- 1 Introduction -- 2 The Idea of IoT and Intelligent - Smart Homes -- 3 Ordered Fuzzy Numbers for Smart Home Heating and Cooling System -- 4 The Real Test of Proposed Method -- 5 Conclusion -- References -- When Two-Constraint Binary Knapsack Problem is Equivalent to Classical Knapsack Problem? -- 1 Introduction -- 2 Definitions -- 3 Lagrange and Dual Estimations -- 4 Probabilistic Analysis -- 5 Concluding Remarks -- References -- Author Index. |
| Record Nr. | UNINA-9910488700503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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