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The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020) [[electronic resource] /] / edited by Álvaro Herrero, Carlos Cambra, Daniel Urda, Javier Sedano, Héctor Quintián, Emilio Corchado
| The 11th International Conference on EUropean Transnational Educational (ICEUTE 2020) [[electronic resource] /] / 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 |
| 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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2020 International Conference on Applications and Techniques in Cyber Intelligence [[electronic resource] ] : Applications and Techniques in Cyber Intelligence (ATCI 2020) / / edited by Jemal H. Abawajy, Kim-Kwang Raymond Choo, Zheng Xu, Mohammed Atiquzzaman
| 2020 International Conference on Applications and Techniques in Cyber Intelligence [[electronic resource] ] : Applications and Techniques in Cyber Intelligence (ATCI 2020) / / edited by Jemal H. Abawajy, Kim-Kwang Raymond Choo, Zheng Xu, Mohammed Atiquzzaman |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (1,162 pages) : illustrations |
| Disciplina | 005.8 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Data Engineering Computational Intelligence |
| ISBN | 3-030-53980-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Combination of Information Technology and College English in the Age of Media -- The Application of Computer Internet of Things in Modern Agricultural Planting Management -- The Influencing Factors Analysis of Network Interactive Teaching Mode Validity -- The Application Analysis of Computer Network Security Data Encryption Technology -- The Application of Computer Technology in Sports Training and Competition -- The Application of BIM Technology in Landscape Garden Engineering Projects -- College Physical Education Based on Multimedia Network Teaching Platform -- Development and Implementation of Health Information Management Platform in Medical Institutions -- Teaching Methods of University Economic Management Course Based on Python -- Innovative Application Paths of Big Data of Automobile Based on Internet of Vehicles. |
| Record Nr. | UNINA-9910483970303321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 | ||
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4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering [[electronic resource] ] : ICAIAME 2022 / / edited by D. Jude Hemanth, Tuncay Yigit, Utku Kose, Ugur Guvenc
| 4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering [[electronic resource] ] : ICAIAME 2022 / / edited by D. Jude Hemanth, Tuncay Yigit, Utku Kose, Ugur Guvenc |
| Autore | Hemanth D. Jude |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (779 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
YigitTuncay
KoseUtku GuvencUgur |
| Collana | Engineering Cyber-Physical Systems and Critical Infrastructures |
| Soggetto topico |
Computational intelligence
Artificial intelligence Engineering - Data processing Computational Intelligence Artificial Intelligence Data Engineering |
| Soggetto non controllato |
Engineering
Technology & Engineering |
| ISBN | 3-031-31956-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Sentiment Analysis in Turkish using Transformer-based Deep Learning Models -- Mathematical Modeling of an Antenna Device Based on a T-shaped Waveguide of the Microwave Range -- Higher-order and stable numerical scheme for nonlinear diffusion system via compact finite difference and adaptive step-size Runge-Kutta methods -- Explainable Artificial Intelligence (XAI) for Deep Learning Based Intrusion Detection Systems -- A Color Channel Based Analysis on Image Tessellation -- Modeling of Shear Strength of Basalt Fiber Reinforced Clay (BFRC) Soil Using Artificial Neural Network (ANN) -- Change of the Internet with Blockchain and Metaverse Technologies -- A Language-Free Hate Speech Identification on Code-Mixed Conversational Tweets -- Decision Trees in Causal Inference -- The Resilience of Unmanned Aerial Vehicles to Cyberattacks and Assessment of Potential Threats. |
| Record Nr. | UNINA-9910728392403321 |
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Hemanth D. Jude
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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 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) [[electronic resource] /] / edited by Muhammad Younas, Irfan Awan, Salima Benbernou, Dana Petcu
| The 4th Joint International Conference on Deep Learning, Big Data and Blockchain (DBB 2023) [[electronic resource] /] / edited by Muhammad Younas, Irfan Awan, Salima Benbernou, Dana Petcu |
| Autore | Younas Muhammad |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (148 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
AwanIrfan
BenbernouSalima PetcuDana |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Computational Intelligence Data Engineering |
| ISBN | 3-031-42317-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Block Chain Systems -- Distributed Ledger Technology for Collective Environmental Action -- 1 Introduction -- 2 Literature Background -- 3 Design Science Research Methodology -- 4 DLT Prototype Construction and Evaluation -- 4.1 Prototype Design Components -- 4.2 Prototype Functional Logic Components -- 4.3 Prototype Evaluation -- 5 Discussion of Empirical Findings -- 6 Conclusions -- References -- Moving Towards Blockchain-Based Methods for Revitalizing Healthcare Domain -- 1 Introduction -- 2 Blockchain Technology Fundamentals -- 2.1 Key Concepts -- 2.2 Blockchain Taxonomy -- 3 Blockchain Technology in Service of Healthcare -- 4 Related Works -- 4.1 Research Methodology -- 4.2 Our Research Foresight Regarding Healthcare Challenges -- 4.3 Blockchain Adoption in Healthcare Domain -- 5 Discussion -- 6 Our Forthcoming Proposition -- 7 Conclusion -- References -- Design of a Tokenized Blockchain Architecture for Tracking Trade in the Global Defense Market -- 1 Introduction -- 2 Related Work -- 3 Value of Blockchain for Trades in Defense Market -- 4 Design and Implementation of a NFT Based Decentralized Architecture -- 4.1 System Design -- 4.2 Implementation and Testing -- 5 Conclusion -- References -- Requirements for Interoperable Blockchain Systems: A Systematic Literature Review -- 1 Introduction -- 1.1 Research Problem -- 1.2 Key Contributions -- 2 Blockchain Interoperability Overview -- 2.1 Related Studies -- 3 Methodology -- 4 Results and Discussion -- 4.1 Technical and semantic interoperability requirements. -- 4.2 Organizational Interoperability Requirements -- 4.3 Legal Interoperability Requirements -- 5 Conclusion -- References -- Deep Learning and Healthcare Applications -- PENN: Phase Estimation Neural Network on Gene Expression Data -- 1 Introduction -- 2 Related Work -- 3 Method.
3.1 Objective Function of PENN -- 4 Results -- 4.1 Dataset -- 4.2 Experiments -- 4.3 Implementation -- 5 Conclusion -- References -- MRIAD: A Pre-clinical Prevalence Study on Alzheimer's Disease Prediction Through Machine Learning Classifiers -- 1 Introduction -- 2 Related Work -- 3 Research Methodology -- 3.1 Development and Testing Approach -- 3.2 Data Source -- 3.3 Data Preprocessing -- 3.4 Feature Selection -- 4 Results and Discussion -- 5 Conclusions -- References -- Exploring the Link Between Brain Waves and Sleep Patterns with Deep Learning Manifold Alignment -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset -- 3.2 Deep Learning Manifold Alignment Method -- 4 Experimental Results -- 5 Conclusion and Future Work -- References -- Machine Learning and Commercial Systems -- YOLOv5 for Automatic License Plate Recognition in Smart Cities -- 1 Introduction -- 2 Applications of ALPR -- 2.1 Use Cases of ALPR -- 2.2 Object Detection with Deep Learning Techniques -- 3 Related Work -- 4 Experimentation and Results -- 4.1 Methodology -- 4.2 Results -- 5 Conclusion -- References -- An Investigation into Predicting Flight Fares in India Using Machine Learning Models -- 1 Introduction -- 2 Literature Review -- 2.1 Empirical Approach to Determine Changes of Airfares and Customer Behavior When Purchasing Flight Tickets -- 2.2 Statistical Approaches for Determining Changes in the Airfare -- 2.3 Supervised Machine Learning for Determining the Changes in the Airfares -- 3 Research Methodology -- 4 Design Specifications -- 5 Evaluation Results and Discussion -- 5.1 Ensemble Model Analysis -- 5.2 Basic Machine Learning Model Results -- 6 Conclusion and Future Work -- References -- Securing Internet of Things (IoT) Devices Through Distributed Ledger Technologies (DLTs) and World Wide Web Consortium (W3C) Standards -- 1 Introduction. 2 Overview of IoT and DLTs -- 2.1 Overview of IoT -- 2.2 Overview of DLTs -- 3 DLT-Based Applications and Services for IoT -- 4 Proposed Architecture -- 5 Conclusion and Future Work -- References -- Analysis and Forecast of Energy Demand in Senegal with a SARIMA Model and an LSTM Neural Network -- 1 Introduction -- 2 Analysis of Woyofal Customers Database -- 3 Building a Forecasting Model of Electricity Demand -- 3.1 Forecasting Electricity Demand with a SARIMA Model -- 3.2 Forecasting Electricity Demand with an LSTM Neural Network -- 4 Deploying the Forecasting Model in a Web Application -- 5 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910743692703321 |
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Younas Muhammad
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) [[electronic resource] /] / edited by Aboul Ella Hassanien, Rawya Y. Rizk, Václav Snášel, Rehab F. Abdel-Kader
| The 8th International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA2022) [[electronic resource] /] / edited by Aboul Ella Hassanien, Rawya Y. Rizk, Václav Snášel, Rehab F. Abdel-Kader |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (708 pages) |
| Disciplina | 006.3 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Big data Engineering - Data processing Computational Intelligence Artificial Intelligence Big Data Data Engineering |
| ISBN | 3-031-03918-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Honorary Chair -- General Chairs -- Co-chairs -- International Advisory Board -- Publication Chair -- Program Chairs -- Publicity Chairs -- Technical Program Committee -- Local Arrangement Chairs -- Contents -- Deep Learning and Applications -- Plant Leaf Diseases Detection and Identification Using Deep Learning Model -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusions -- References -- Reinforcement Learning for Developing an Intelligent Warehouse Environment -- 1 Introduction -- 2 Machine Learning Techniques -- 3 Results and Discussion -- 4 Conclusion and Future Research -- References -- A Low-Cost Multi-sensor Deep Learning System for Pavement Distress Detection and Severity Classification -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Overall System Architecture -- 3.2 Deep Learning Distress Detection -- 3.3 Dataset and Training Information -- 3.4 Projection onto the Depth 3D Point Cloud and ROI Filtering -- 4 Case Study: Pothole Severity Classification -- 5 Experimental Results -- 5.1 Results for the Distress Detection -- 5.2 Results for Pothole Severity Classification -- 6 Conclusion -- References -- An Intrusion Detection Model Based on Deep Learning and Multi-layer Perceptron in the Internet of Things (IoT) Network -- 1 Introduction -- 2 Related Work -- 2.1 Multi Agent Systems for IDS -- 2.2 Fuzzy Systems for IDS -- 2.3 Game Theory Models for IDS -- 3 Architecture of the Proposed Intrusion Detection System -- 3.1 Pre-processing and Feature Engineering -- 3.2 Deep Learning Layer -- 3.3 Evaluation Layer -- 4 The Experimental Results -- 5 Comparison Between Proposed Models and the Others -- 6 Conclusion -- References -- Transfer Learning and Recurrent Neural Networks for Automatic Arabic Sign Language Recognition -- 1 Introduction.
2 Related Work -- 3 Arabic Sign Language Dataset -- 4 Methodology -- 4.1 Prepare the Dataset -- 4.2 Extract the Spatial Features -- 4.3 Extract the Temporal Features -- 4.4 Video Augmentation -- 5 Experimental and Results -- 5.1 Experiment Settings -- 5.2 Models Results -- 6 Conclusion and Future Works -- References -- Robust Face Mask Detection Using Local Binary Pattern and Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusion -- References -- Steganography Adaptation Model for Data Security Enhancement in Ad-Hoc Cloud Based V-BOINC Through Deep Learning -- 1 Introduction -- 1.1 Ad-Hoc Cloud Computing -- 1.2 Deep Steganography -- 1.3 Contribution -- 1.4 Paper Organization -- 2 Literature Review -- 3 Proposed Solution -- 4 Experiment -- 5 Discussion and Analysis -- 6 Conclusion -- References -- Performance of Different Deep Learning Models for COVID-19 Detection -- 1 Introduction -- 2 Deep Learning (DL) -- 2.1 The DL-Algorithms Steps in COVID-19 Diagnosis -- 2.2 DL-Models for COVID-19 Detection -- 3 Discussion -- 4 Conclusion -- References -- Deep Learning-Based Apple Leaves Disease Identification Approach with Imbalanced Data -- 1 Introduction -- 2 Basics and Background -- 2.1 Data Imbalance -- 2.2 Convolutional Neural Networks -- 2.3 Transfer Learning -- 3 The Proposed Approach -- 3.1 Dataset Description -- 3.2 Data Preprocessing Phase -- 3.3 Training Phase -- 3.4 Evaluation Phase -- 4 Experimental Results and Analysis -- 4.1 Data Imbalance Problem -- 4.2 Data Augmentation -- 4.3 Setup of the Experiment -- 4.4 Evaluation of the Model -- 5 Conclusion and Future Work -- References -- Commodity Image Retrieval Based on Image and Text Data -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Image and Text Feature Fusion -- 3.2 Target Function -- 4 Experiment -- 4.1 Evaluation Metrics. 4.2 Datasets -- 4.3 Experimental Details -- 4.4 Experimental Results and Analysis -- 5 Conclusion -- References -- Machine Learning Technologies -- Artificial Intelligence Based Solutions to Smart Warehouse Development: A Conceptual Framework -- 1 Introduction -- 2 SWOT Analysis -- 2.1 Strengths -- 2.2 Weaknesses -- 2.3 Opportunities -- 2.4 Threats -- 3 Proposed Solutions and Current Approaches -- 3.1 WO Strategy (Improve): Testbed as a Trial for Investment Decision -- 3.2 WO Strategy (Improve): AI-Powered Solutions -- 3.3 SO Strategy (Attack): AI Resource Development -- 4 Conclusions and Future Research -- References -- Long-Short Term Memory Model with Univariate Input for Forecasting Individual Household Electricity Consumption -- 1 Introduction -- 2 Related Works -- 3 Deep Learning Models for Load Forecasting -- 3.1 LSTM and LSTM-ED Neural Networks -- 3.2 CNN-LSTM Neural Networks -- 3.3 GRU Neural Networks -- 3.4 BiLSTM Neural Networks -- 3.5 ConvLSTM Neural Networks -- 4 Results and Discussion -- 4.1 Dataset Description -- 4.2 Evaluation Metrics -- 4.3 Prediction Results of ConvLSTM -- 4.4 Discussion of the Forecasting Models -- 5 Conclusion and Future Work -- References -- DNA-Binding-Proteins Identification Based on Hybrid Features Extraction from Hidden Markov Model -- 1 Introduction -- 2 Materials and Methods -- 2.1 Datasets -- 2.2 Encoding -- 2.3 Framing -- 2.4 Hybrid Visual HMM Structure -- 2.5 Features Extraction -- 2.6 Classifier -- 3 Results and Discussions -- 4 Conclusions -- References -- Machine Learning Based Mobile Applications for Cardiovascular Diseases (CVDs) -- 1 Introduction -- 2 ML Based m-Health for CVDs -- 3 Characteristics of the Commercially Available CVDs Mobile Applications -- 4 Future Requirements -- 5 Conclusion -- References -- Regression Analysis for Remaining Useful Life Prediction of Aircraft Engines. 1 Introduction -- 2 Related Work -- 3 Aircraft Engine System -- 4 Proposed Model for Predicting the RUL -- 5 Experimental Results and Discussion -- 6 Conclusion and Future Work -- References -- Applying Machine Learning Technology to Perform Automatic Provisioning of the Optical Transport Network -- 1 Introduction -- 2 The Challenges in the Current Model of the Supervision of the OTN -- 3 Proposed Model for the Automatic Provision of the OTN -- 4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Robo-Nurse Healthcare Complete System Using Artificial Intelligence -- 1 Introduction -- 1.1 Related Work -- 2 Research Method -- 2.1 Software Implementation -- 2.2 Hardware Implementation -- 2.3 External Design Implementation -- 3 Results and Discussions -- 4 Conclusion -- References -- Resolving Context Inconsistency Approach Based on Random Forest Tree -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 IoT Data Collection Phase -- 3.2 Context Inconsistency Validator -- 3.3 Best Resolution Selection -- 3.4 Random Forest Tree -- 4 Experimental Results and Evaluations -- 5 Conclusion and Future Directions -- References -- Arduino Line Follower Using Fuzzy Logic Control -- 1 Introduction -- 2 Methodology -- 2.1 Lab Simulation -- 2.2 The ATmega328p Microcontroller -- 2.3 Voltage Regulator -- 2.4 Circuit Diagram Explanation -- 2.5 Microcontroller-Motor Driver IC Interface -- 2.6 Microcontroller-IR Sensor Module Interface -- 2.7 Microcontroller-Variable Resistor Interface -- 2.8 Arduino IDE Interface with Microcontroller -- 3 Summary of Methodology -- 4 Physical Modeling -- 4.1 Block Diagram -- 4.2 Flow Chart -- 4.3 Working Principle -- 5 Result and Analysis -- 6 Conclusion -- References -- Evaluating Adaptive Facade Performance in Early Building Design Stage: An Integrated Daylighting Simulation and Machine Learning. 1 Introduction -- 2 Related Works -- 3 Building as a Machine and Machine Learning in Architecture -- 4 Adaptive Facade -- 5 Methodology -- 5.1 Data Collection: Available Forms of Kinetic Façade Systems -- 5.2 Data Preparation: Applying System Possibility Scores -- 5.3 Data Exploration and Case Study Setup -- 5.4 Prediction Stage: Applying the KNN Algorithm as a Selective Filter -- 6 Systems Modeling and Simulation -- 7 Results and Discussion -- 8 Conclusion -- References -- LTE Downlink Scheduling with Soft Policy Gradient Learning -- 1 Introduction -- 2 Downlink Resource Allocation in LTE -- 3 Related Work -- 4 DSPG Scheduler: The Proposed Scheduling Algorithm -- 4.1 Problem Statement -- 4.2 Model Design -- 5 Simulation Implementation and Results -- 6 Conclusions -- References -- Predicting the Road Accidents Severity Using Artificial Neural Network -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 The Proposed Methodology -- 5 Results and Discussions -- 5.1 Attributes vs Accident Severity -- 5.2 Accident Severity Prediction Results -- 6 Conclusion -- References -- Predicting the Intention to Use Audi and Video Teaching Styles: An Empirical Study with PLS-SEM and Machine Learning Models -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Technology Acceptance Model (TAM) -- 2.2 Flow Theory -- 2.3 Virtual Reality Attributes -- 3 Research Methodology -- 3.1 Data Collection -- 3.2 Personal/Demographic Information -- 3.3 Study Instrument -- 3.4 Survey Structure -- 4 Findings and Discussion -- 4.1 Data Analysis -- 4.2 Convergent Validity -- 4.3 Discriminant Validity -- 4.4 Hypotheses Testing Using PLS-SEM -- 4.5 Hypothesis Testing Using Machine Learning Algorithms -- 5 Discussion of Results -- References -- Intellgenet Systems and Applications. Immunity of Signals Transmission Using Secured Unequal Error Protection Scheme with Various Packet Format. |
| Record Nr. | UNINA-9910561300503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| 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 | ||
| ||
Advanced Information Networking and Applications [[electronic resource] ] : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3 / / edited by Leonard Barolli, Isaac Woungang, Tomoya Enokido
| Advanced Information Networking and Applications [[electronic resource] ] : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 3 / / edited by Leonard Barolli, Isaac Woungang, Tomoya Enokido |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (753 pages) |
| Disciplina | 004.6 |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Engineering - Data processing
Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence Xarxes d'ordinadors Computació distribuïda Sistemes d'informació Intel·ligència artificial |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 3-030-75078-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Welcome Message from AINA-2021 Organizers -- AINA-2021 Organizing Committee -- General Co-chairs -- Program Committee Co-chairs -- Workshops Co-chairs -- International Journals Special Issues Co-chairs -- Award Co-chairs -- Publicity Co-chairs -- International Liaison Co-chairs -- Local Arrangement Co-chairs -- Finance Chair -- Web Co-chairs -- Steering Committee Chairs -- Tracks and Program Committee Members -- 1. Network Protocols and Applications -- Sec300 -- Sec301 -- 2. Next Generation Wireless Networks -- Sec303 -- Sec304 -- 3. Multimedia Systems and Applications -- Sec305 -- Sec306 -- 4. Pervasive and Ubiquitous Computing -- Sec105 -- Sec106 -- 5. Web-Based and E-Learning Systems -- Sec331 -- Sec312 -- 6. Distributed and Parallel Computing -- Sec256 -- Sec251 -- 7. Data Mining, Big Data Analytics and Social Networks -- Sec261 -- Sec389 -- 8. Internet of Things and Cyber-Physical Systems -- Sec265 -- Sec266 -- 9. Intelligent Computing and Machine Learning -- Sec291 -- Sec298 -- 10. Cloud and Services Computing -- Sec351 -- Sec352 -- 11. Security, Privacy and Trust Computing -- Sec365 -- Sec366 -- 12. Software-Defined Networking and Network Virtualization -- Sec382 -- Sec399 -- AINA-2021 Reviewers -- AINA-2021 Keynote Talks -- The Role of Artificial Intelligence in the Industry 4.0 -- Localization in 6G -- Contents -- An Improved DOA Estimation Algorithm of Neural Network Based on Interval Division -- 1 Introduction -- 2 Signal Model of DOA Estimation -- 3 Improved DOA Estimation Algorithm of Neural Networks Based on Interval Division -- 3.1 DOA Estimation Algorithm of Neural Networks Based on Interval Division -- 3.2 Improved Interval Division Method -- 3.3 Performance Analysis -- 4 Conclusion -- References -- The Application in Handwritten Digit Recognition of Deep Belief Network Based on Improved Genetic Algorithm.
1 Introduction -- 2 The DBN Optimized by Adaptive Genetic Algorithm (IAGA-DBN) -- 2.1 DBN -- 2.2 IAGA -- 2.3 The Algorithm Fow of IAGA-DBN -- 3 Realization of Handwritten Digit Recognition Based on IAGA-DBN -- 3.1 Experimental Data -- 3.2 Test Comparison and Analysis of Each Model -- 4 Conclusion -- References -- A Fuzzy-Based Scheme for Admission Control in 5G Wireless Networks: Improvement of Slice QoS Considering Slice Reliability as a New Parameter -- 1 Introduction -- 2 Software-Defined Networks (SDNs) -- 3 Outline of Fuzzy Logic -- 3.1 Linguistic Variables -- 3.2 Fuzzy Control Rules -- 3.3 Defuzzificaion Method -- 4 Proposed Fuzzy-Based System -- 5 Simulation Results -- 6 Conclusions and Future Work -- References -- Evaluation of a User Finger Movement Capturing Device for Control of Self-standing Omnidirectional Robot -- 1 Introduction -- 2 Related Work -- 3 Proposed Self-standing Omnidirectional Robot -- 3.1 Kinematics -- 3.2 Control System of the Proposed Self-standing Omnidirectional Robot -- 4 Implementation of User Finger Capturing Device -- 5 Experimental Results -- 6 Conclusions and Future Work -- References -- Adaptive Architecture for Fault Diagnosis of Rotating Machinery -- 1 Introduction -- 2 Related Work -- 3 Motivating Example -- 4 Fault Diagnosis of Rotating Machinery -- 4.1 RTRL Training -- 4.2 Online Monitoring -- 5 Experimental Results -- 5.1 Visualization of Variability Markers -- 6 Conclusions -- References -- Unsupervised Classification of Medical Documents Through Hybrid MWEs Discovery -- 1 Introduction -- 2 State of Art -- 3 Classification Methodology -- 3.1 Hybrid MWEs Discovery -- 3.2 Document Classification -- 4 Experiment -- 5 Conclusion and Future Work -- References -- Building a Pos Tagger and Lemmatizer for the Italian Language -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach. 4 Experiment and Evaluation -- 5 Conclusions and Future Work -- References -- Extracting Information from Food-Related Textual Sources -- 1 Introduction -- 2 Motivation -- 3 WEB Scraping -- 3.1 Extracting Meta-data -- 4 Extracting Images -- 5 Ontology Building -- 6 Conclusions -- References -- PaSy - Management of a Smart-Parking System Based on Priority Queues -- 1 Introduction -- 2 Related Work -- 3 Integration Model -- 3.1 Profiling -- 3.2 Mathematical Model -- 3.3 Priority Queues -- 3.4 Queues Categories -- 4 Conclusions -- References -- An Ontological Model to Represent Food Consumption Risks -- 1 Introduction -- 2 Case Study -- 3 The Represented Information -- 4 Conclusions -- References -- Intelligent Cloud Agents in Multi-participant Conversations for Cyber-Physical Exploitation of Cultural Heritage -- 1 Introduction -- 2 Related Work -- 3 The Cleopatra Project -- 4 Architecture Design -- 5 Bridging Multi Users Conversation with Dyadic Agents -- 5.1 Parallel Conversations versus Multiple Threads -- 5.2 Own Messages versus Multiple Receivers -- 5.3 Replies versus Posts -- 6 Prototype Development -- 7 Conclusion -- References -- E-government and Italian Local Government: Managerial Approach in Two Macro Areas to Improve Manager's Culture and Services -- 1 Introduction -- 2 Literature Review -- 2.1 Italian Public Administration -- 2.2 Case Study Context -- 2.3 Northern vs Southern IPA -- 3 Methodology -- 4 Empirical Results -- 5 Discussion -- 6 Conclusions -- References -- Container Based Simulation of Electric Vehicles Charge Optimization -- 1 Introduction -- 2 The Greencharge Simulator -- 3 Formulating the Energy Management Problem -- 4 Optimization Algorithm -- 4.1 GA Based Load Shifting -- 4.2 Linear EV Charge Optimization -- 5 Experimental Results -- 6 Conclusion -- References -- Cloud Computing Projects: A Bibliometric Overview. 1 Introduction -- 2 Background Information -- 2.1 Bibliometric Investigations -- 2.2 The Projects Under Analysis -- 3 Data Collection and Methodology -- 3.1 Data Sources -- 3.2 Data Preparation -- 4 Results -- 4.1 Impact Overview -- 4.2 Distribution of Papers and Collaboration -- 4.3 Co-occurrences of Keywords Analysis for Research Areas -- 5 Conclusions -- References -- Applying Patterns to Support Deployment in Cloud-Edge Environments: A Case Study -- 1 Introduction -- 2 State of the Art -- 3 The Methodology -- 3.1 Selection of the Computational Pattern -- 3.2 Mapping to an Agnostic Architectural Pattern -- 3.3 Mapping to an Agnostic Deployment Pattern -- 4 Conclusion and Future Work -- References -- Obserbot: A Totally Automated Watcher to Monitor Essential Services -- 1 Introduction -- 2 The Obserbot Framework -- 3 Platform Description -- 4 The Semantic Analysis -- 5 Results -- 6 Conclusions and Further Developments -- References -- Saving Electronic Health Record (EHR) in private and secure mHealth system with blockchain Smart contracts -- 1 Introduction -- 2 Previous Work -- 3 Blockchain -- 3.1 Consortium Blockchain -- 4 System Implementation -- 5 Discussion -- 6 Conclusion and Future Work -- References -- iNote: A Low Cost Banknote Recognition System for Visually Impaired Persons -- 1 Introduction -- 2 Literature Review -- 3 System Overview and Problem Formulation -- 3.1 System Overview -- 3.2 Problem Formulation -- 4 Methodology -- 4.1 Algorithm -- 5 Results -- 5.1 Hardware -- 5.2 Experimental Results -- 6 Conclusions and Future Work -- References -- Design of a Diagnostic Support Method Utilizing Interrogation Information in Traditional Chinese Medicine -- 1 Introduction -- 2 Related Research and Issues -- 2.1 Traditional Chinese Medicine (TCM) -- 2.2 Related Research -- 2.3 Technical Issues and Proposals -- 3 Diagnostic Support Method. 3.1 Outline of the Diagnostic Support Method -- 3.2 Pattern Candidate Extraction Method -- 3.3 Interpattern Relational Model Creation Method -- 4 Conclusion -- References -- Software-Defined Networking: Open-Source Alternatives for Small to Medium Sized Enterprises -- 1 Introduction -- 2 Literature Review -- 2.1 SDN Architecture in Smaller Networks -- 3 Methodology -- 3.1 Cisco DNA Centre -- 3.2 Key Technologies in Cisco DNA Centre -- 3.3 Open Source SDN Controller for SME-Based Network -- 3.4 OpenDaylight SDN Controller -- 4 Deploying LISP, VxLAN Within OpenDaylight SDN Controller -- 4.1 Location Identifier Separation Protocol (LISP) Within OpenDaylight -- 4.2 Virtual Extensible Local Area Networks and OpenDaylight -- 5 Conclusion -- References -- A Survey of Description Methods for Fieldbus Systems -- 1 Introduction -- 2 Description Methods -- 2.1 EDDL -- 2.2 ESI and ENI -- 2.3 EDS -- 2.4 CiA 311 -- 2.5 FIBEX -- 2.6 AutomationML -- 3 Evaluation -- 4 Summary -- References -- A Hybrid Message Delivery Method for Vehicular DTN Considering Impact of Shuttle Buses and Roadside Units -- 1 Introduction -- 2 Overview of DTN Protocols -- 3 Proposed Hybrid Message Delivery Method -- 4 Evaluation of Proposed Method -- 4.1 Evaluation Setting -- 4.2 Simulation Results -- 5 Conclusions -- References -- Optimum Path Finding Framework for Drone Assisted Boat Rescue Missions -- 1 Introduction -- 2 Related Work -- 3 Proposed Framework -- 4 Conclusions and Future Works -- References -- Algorithmic Aspects of the Maximum 2-edge-colorable Subgraph Problem -- 1 Introduction -- 2 Problem Statement -- 3 Related Work -- 4 Graphs with Bounded Carving-Width -- 5 Graphs with Bounded Pathwidth -- 6 Conclusion and Future Work -- References -- Effective Use of Low Power Heterogeneous Wireless Multimedia Sensor Networks for Surveillance Applications Using IEEE 802.15.4 Protocol. 1 Introduction. |
| Record Nr. | UNINA-9910484687603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
