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Advanced Computational Methods for Knowledge Engineering : Proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019 / / edited by Hoai An Le Thi, Hoai Minh Le, Tao Pham Dinh, Ngoc Thanh Nguyen
| Advanced Computational Methods for Knowledge Engineering : Proceedings of the 6th International Conference on Computer Science, Applied Mathematics and Applications, ICCSAMA 2019 / / edited by Hoai An Le Thi, Hoai Minh Le, Tao Pham Dinh, Ngoc Thanh Nguyen |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (434 pages) |
| Disciplina |
004
006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-38364-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910483666603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Agent and multi-agent systems : technologies and applications : second KES international symposium, KES-AMSTA 2008 : Incheon, Korea, March 26-28, 2008 : proceedings / / Ngoc Thanh Nguyen ... [et al.], (eds.)
| Agent and multi-agent systems : technologies and applications : second KES international symposium, KES-AMSTA 2008 : Incheon, Korea, March 26-28, 2008 : proceedings / / Ngoc Thanh Nguyen ... [et al.], (eds.) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2008 |
| Descrizione fisica | 1 online resource (XX, 912 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | NguyenNgoc Thanh |
| Collana |
Lecture notes in computer science
LNCS sublibrary. SL 7, Artificial intelligence Lecture notes in artificial intelligence |
| Soggetto topico |
Intelligent agents (Computer software)
Distributed artificial intelligence |
| ISBN | 3-540-78582-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Main Track 1: Methodological Aspects of Agent Systems -- Main Track 2: Agent-Oriented Web Applications -- Main Track 3: Ontology Management -- Main Track 4: Multi-agent Resource Allocation -- Main Track 5: Cooperation, Coordination, and Teamwork -- Main Track 6: Agents for Network Management -- Main Track 7: Multi-agent Learning -- Main Track 8: Mobile Agents -- Main Track 9: Agents in Applications -- Doctoral Track -- Special Session: Self-organization in Multi-agent Systems -- Special Session: Intelligent and Secure Agent for Digital Content Management. |
| Record Nr. | UNINA-9910484311703321 |
| Berlin ; ; New York, : Springer, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational collective intelligence [[electronic resource] ] : technologies and applications ; Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010, proceedings . Part II / / Jeng-Shyang Pan, Shyi-Ming Chen, Ngoc Thanh Nguyen (eds.)
| Computational collective intelligence [[electronic resource] ] : technologies and applications ; Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010, proceedings . Part II / / Jeng-Shyang Pan, Shyi-Ming Chen, Ngoc Thanh Nguyen (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XV, 514 p. 257 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PanJeng-Shyang
ChenShyi-Ming NguyenNgoc Thanh |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computer networks Computer science Computer software Data mining Information storage and retrieval systems |
| ISBN |
1-280-39022-0
9786613568144 3-642-16732-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Social Networks -- Influence Clubs in Social Networks -- A Method of Label-Dependent Feature Extraction in Social Networks -- Identifying Representative Reviewers in Internet Social Media -- Fitcolab Experimental Online Social Networking System -- General Network Properties of Friendship Online Social Network -- Innovations in Computation and Application -- Fuzzy Decision Making for IJV Performance Based on Statistical Confidence-Interval Estimates -- Designing a Learning System Based on Voice Mail – A Case Study of English Oral Training -- A Gene Selection Method for Microarray Data Based on Sampling -- The Similarity of Video Based on the Association Graph Construction of Video Objects -- Using SOA Concept to Construct an e-Learning System for College Information Management Courses -- Cryptanalysis on Sun-Yeh’s Password-Based Authentication and Key Distribution Protocols with Perfect Forward Secrecy -- Using Genetic Algorithms for Personalized Recommendation -- Intellignet Signal Processing for Human-Machine Interaction (I) -- Pretreatment for Speech Machine Translation -- Emotion Aware Mobile Application -- Boosting-Based Ensemble Learning with Penalty Setting Profiles for Automatic Thai Unknown Word Recognition -- AONT Encryption Based Application Data Management in Mobile RFID Environment -- A Query Answering Greedy Algorithm for Selecting Materialized Views -- Capturing Users’ Buying Activity at Akihabara Electric Town from Twitter -- Novel Approaches to Intelligent Applications -- Private Small-Cloud Computing in Connection with WinCE Thin Client -- Honey Bee Mating Optimization Algorithm for Approximation of Digital Curves with Line Segments and Circular Arcs -- Harmful Adult Multimedia Contents Filtering Method in Mobile RFID Service Environment -- Efficient GHA-Based Hardware Architecture for Texture Classification -- Stability by Feedback of the Second Order Singular Distributed Parameter Systems Containing Infinite Many Poles -- Mining Generalized Association Rules with Quantitative Data under Multiple Support Constraints -- Intelligent Technologies for Medical Related Applications -- Comparison of Edge Segmentation Methods to Tongue Diagnosis in Traditional Chinese Medicine -- The Grading of Prostatic Cancer in Biopsy Image Based on Two Stages Approach -- Automatic Drug Image Identification System Based on Multiple Image Features -- On the Development of a Brain Simulator -- Obstructive Sleep Apnea Diagnosis from Electroencephalography Frequency Variation by Radial Basis Function Neural Network -- Authentication and Protection for Medical Image -- Intellignet Signal Processing for Human-Machine Interaction (II) -- FLC-Regulated Speaker Adaptation Mechanisms for Speech Recognition -- Monitoring of the Multichannel Audio Signal -- Watermark Synchronization Based on Locally Most Stable Feature Points -- Audio Watermarking with HOS-Based Cepstrum Feature -- Processing Certificate of Authorization with Watermark Based on Grid Environment -- Novel Approaches to Collective Computations and Systems -- Probability Collectives Multi-Agent Systems: A Study of Robustness in Search -- An Improved Ant Algorithm for Fuzzy Data Mining -- Information-Driven Collective Intelligences -- Instructional Design for Remedial English e-Learning -- A Web-Based E-Teaching System under Low Bit-Rate Constraint -- Using Freeware to Construct a Game-Based Learning System -- Intelligent Systems -- Three Kinds of Negations in Fuzzy Knowledge and Their Applications to Decision Making in Financial Investment -- Using Fuzzy Neural Network to Explore the Effect of Internet on Quality of Life -- The Power Load Forecasting by Kernel PCA -- A Study of USB 3 in Perspective Aspect -- A Study of CAPTCHA and Its Application to User Authentication -- TAIEX Forecasting Based on Fuzzy Time Series and the Automatically Generated Weights of Defuzzified Forecasted Fuzzy Variations of Multiple-Factors -- Advanced Knowledgement Management (I) -- Concept Document Repository to Support Research of the Coal Industry Development Forecasting -- Forecasting Coal and Rock Dynamic Disaster Based on Adaptive Neuro-Fuzzy Inference System -- Context-Aware Workflow Management Based on Formal Knowledge Representation Models -- A Consensus-Based Method for Fuzzy Ontology Integration -- Contextual Information Search Based on Ontological User Profile -- Rough Sets Based Association Rules Application for Knowledge-Based System Design. |
| Record Nr. | UNINA-9910484976103321 |
| Berlin ; ; New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Computational Collective Intelligence [[electronic resource] ] : technologies and applications ; Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010, proceedings . Part III / / Jeng-Shyang Pan, Shyi-Ming Chen, Ngoc Thanh Nguyen (eds.)
| Computational Collective Intelligence [[electronic resource] ] : technologies and applications ; Second International Conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010, proceedings . Part III / / Jeng-Shyang Pan, Shyi-Ming Chen, Ngoc Thanh Nguyen (eds.) |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XV, 472 p. 269 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
PanJeng-Shyang
ChenShyi-Ming NguyenNgoc Thanh |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Computer networks Computer science Computer software Data mining Information storage and retrieval systems |
| ISBN |
1-280-39019-0
9786613568113 3-642-16696-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Intelligent Computing for Image Analysis (I) -- Feature Analysis and Classification of Lymph Nodes -- Automatic and Accurate Image Matting -- Improved DCT-Based Watermarking through Particle Swarm Optimization -- A New Adaptive B-spline VFC Snake for Object Contour Extraction -- Algorithm for Computational Measure of Color Constancy -- Intelligent Digital Watermarking and Pattern Recognition -- GOP-Flexible Distributed Multiview Video Coding with Adaptive Side Information -- A Novel Embedded Coding Algorithm Based on the Reconstructed DCT Coefficients -- A Vehicle License Plate Recognition System Based on Spatial/Frequency Domain Filtering and Neural Networks -- Reversible Watermarking Based on Invariant Relation of Three Pixels -- Alphanumeric Shape Recognition of Fingertip Writing Trajectory -- Recognition of Tire Tread Patterns Based on Gabor Wavelets and Support Vector Machine -- Advanced Knowledgement Management (II) -- Terminological and Assertional Queries in KQL Knowledge Access Language -- Conditional Statements Grounded in Past, Present and Future -- Automatic Ontology Evolution in Open and Dynamic Computing Environments -- Diagnostic Tests Based on Knowledge States -- An Ontology-Supported Ubiquitous Interface Agent for Cloud Computing - Example on Zigbee Technique -- Semantic Optimization of Query Transformation in Semantic Peer-to-Peer Networks -- Intelligent Computing for Image Analysis (II) -- Comparative Studies of Parallel and Vertical Stereo Vision-Based 3D Pneumatic Arms -- An Effective Image Enhancement Method for Electronic Portal Images -- License Plate Tilt Correction Based on the Straight Line Fitting Method and Projection -- Differential Approximation of the 2-D Laplace Operator for Edge Detection in Digital Images -- ARToolkit-Based Augmented Reality System with Integrated 1-D Barcode: Combining Colorful Markers with Remote Servers of 3D Data for Product Promotion Purposes -- Innovative Information System and Application -- Design and Implementation of e-Journal Review System Using Text-Mining Technology -- Study on Architecture-Oriented Information Security Risk Assessment Model -- Constructing Problem-Based Learning Activities Using Self-assessment System -- Conducted EMI Analysis of a Three-Phase PWM Rectifier -- Synchronization of Duffing-Holmes Oscillators Using Stable Neural Network Controller -- Codes Base on Unambiguous Products -- Intelligent Computing for Networks -- A Study on the Topology Control Method for Bluetooth Scatternet Formation -- A Study on the Global Configured Method of Blueweb Routing Protocol -- Energy Efficient Framework for Mobility Supported Smart IP-WSN -- An Efficient Migration Framework for Mobile IPTV -- Auto-configuration Support for IPv4/IPv6 Translation in Smart Sensor Networks -- Soft Computing to Industrial Management and Applications -- Empirical Bayes Estimation of Customers’ Guarantee Time Length of Loyalty -- An Integrated EPQ Model for Manufacturer’s Replenishment Policies with Two Levels of Trade Credit Policy under Supplier Credits Linked to Ordering Quantity -- Modeling a Dynamic Design System Using the Mahalanobis Taguchi System— Two-Step Optimal Algorithm -- A Fuzzy Model Applied on Assessing Operating Performance of Industrial PC -- Inventory Models for Deteriorating Items with Variable Selling Price under Stock-Dependent Demand -- Innovations in Pervasive Computing -- Hierarchical IP Distribution Mechanism for VANET -- VisMusic: Music Visualization with Interactive Browsing -- The Study of Plagiarism Detection for Object-Oriented Programming Language -- A Distributed Sleep Scheduling Algorithm with Range Adjustment for Wireless Sensor Networks -- An Innovative Routing Algorithm with Reinforcement Learning and Pattern Tree Adjustment for Wireless Sensor Networks -- Biological Computing -- Swarm Intelligence for Cardinality-Constrained Portfolio Problems -- Immune Memory Mechanism Based on Cyclic Idiotypic Network -- Sensor Placement in Water Networks Using a Population-Based Ant Colony Optimization Algorithm -- The Codebook Design of Image Vector Quantization Based on the Firefly Algorithm -- Confronting Two-Pair Primer Design Using Particle Swarm Optimization -- Strategic Health Information Management and Forecast: The Birdwatching Approach. |
| Record Nr. | UNINA-9910484496103321 |
| Berlin ; ; New York, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Intelligence of Things : The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1
| Intelligence of Things : The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 1 |
| Autore | Dao Nhu-Ngoc |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (452 pages) |
| Altri autori (Persone) |
ThinhTran Ngoc
NguyenNgoc Thanh |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN | 3-031-46573-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- State-of-the-Art and Theoretical Analyses -- FPGA/AI-Powered Data Security for IoT Edge Computing Platforms: A Survey and Open Issues -- 1 Introduction -- 1.1 Related Work -- 1.2 Contributions -- 1.3 Outline -- 2 Preliminary -- 2.1 IoT Layers and Threats -- 2.2 IoT Security vs. Traditional Security -- 3 FPGA-Based Security for Edge Devices -- 4 AI-Based Security for Edge Devices -- 4.1 Processor-Based AI Approaches -- 4.2 FPGA-Based AI Approaches -- 5 FPGA/AI-Powered Security for Edge Devices: Open Issues -- 6 Conclusion -- References -- A Review in Deep Learning-Based Thyroid Cancer Detection Techniques Using Ultrasound Images -- 1 Introduction -- 2 Deep Learning-Based Thyroid Cancer Detection Using Ultrasound Image -- 2.1 Convolutional Neural Networks - CascadeMaskR-CNN -- 2.2 VGG16, VGG19, and Inception v3 -- 2.3 ThyNet -- 2.4 Generative Adversarial Networks (GANs) -- 3 Discussion -- 4 Conclusion -- References -- Bio-Inspired Clustering: An Ensemble Method for User-Based Collaborative Filtering -- 1 Introduction -- 2 Related Work -- 3 Bio-Inspired Clustering Model for User-Based Collaborative Filtering (BICCF) -- 4 Experiments and Results -- 4.1 Setting -- 4.2 Evaluation -- 5 Conclusions -- References -- Deep Reinforcement Learning-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Systems -- 1 Introduction -- 2 DRL-Based Sum-Rate Maximization for Uplink Multi-user SIMO-RSMA Framework -- 2.1 System Model and Problem Formulation -- 2.2 Proposed Deep Reinforcement Learning Framework -- 3 Evaluation -- 4 Conclusion -- References -- Multiobjective Logistics Optimization for Automated ATM Cash Replenishment Process -- 1 Introduction -- 2 Research Problem -- 3 Mathematical Model -- 3.1 Problem Statement -- 3.2 Constraints -- 3.3 Mathematical Model -- 4 Methodology -- 5 Testing and Evaluation.
6 Conclusion -- References -- Adaptive Conflict-Averse Multi-gradient Descent for Multi-objective Learning -- 1 Introduction -- 2 Conflict-Averse Methods for MOL -- 2.1 Multi-objective Learning Problems -- 2.2 Conflicting Gradients -- 2.3 Convergence and Learning Rate Issues -- 2.4 AdaCAGrad: Adaptive Conflict-Averse Multi-gradient Descent -- 3 Experiments -- 3.1 Toy Optimization Example -- 3.2 Image Classification -- 4 Conclusion -- References -- Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals as a Pseudoconvex Vector Optimization -- 1 Introduction -- 2 Multicriteria Portfolio Selection Problem -- 3 Multicriteria Portfolio Selection with Intuitionistic Fuzzy Goals -- 3.1 Intuitionistic Fuzzy Goals -- 3.2 Transformation to Deterministic Model -- 4 Computational Experiment -- 5 Conclusion -- References -- Research and Develop Solutions to Traffic Data Collection Based on Voice Techniques -- 1 Introduction -- 2 Related Work -- 3 Definition of Problem and End-to-End ASR System -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Language Modeling -- 3.4 Training End-to-End ASR -- 3.5 Decoding and Transcription -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Experimental Result -- 4.3 Analysis and Discussion -- 5 Conclusion -- References -- Using Machine Learning Algorithms to Diagnosis Melasma from Face Images -- 1 Introduction -- 2 Diagnostic Data for Melasma -- 3 Machine Learning Algorithm -- 3.1 About YOLO V8 -- 3.2 Anchor-Free Detection -- 3.3 Model for Diagnosing Melasma -- 3.4 Results of Model Evaluation -- 4 Conclusions -- References -- Reinforcement Learning for Portfolio Selection in the Vietnamese Market -- 1 Introduction -- 2 Overview -- 2.1 State-of-the-Art Reinforcement Learning -- 2.2 Related Work -- 3 Method -- 3.1 Modeling the Stock Trading Problem -- 3.2 Environment for Vietnamese Market -- 3.3 Noise Filter. 4 Experimental Evaluation -- 4.1 Data Pre-processing -- 4.2 Experimental Setup -- 4.3 Experimental Results -- 5 Conclusion -- References -- AIoT Technologies -- A Systematic CL-MLP Approach for Online Forecasting of Multiple Key Performance Indicators -- 1 Introduction -- 2 Preliminaries -- 3 Related Works -- 3.1 Time Series Forecasting Models -- 3.2 Online Learning -- 4 CL-MLP -- 4.1 Our Workflow -- 4.2 Model Construction -- 4.3 Online Learning -- 5 Experiment Results -- 5.1 Dataset -- 5.2 Our Results -- 6 Conclusion -- References -- Neutrosophic Fuzzy Data Science and Addressing Research Gaps in Geographic Data and Information Systems -- 1 Introduction -- 2 Neutrosophic Fuzzy Data Sciences -- 3 Neutrosophic Fuzzy GIS- Map -- 4 Neutrosophic Crisp Open in GIS Topology -- 5 Conclusion and Future Work -- References -- Inhibitory Control during Visual Perspective Taking Revealed by Multivariate Analysis of Event-Related Potentials -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Stimulus -- 2.3 Procedure -- 2.4 Analysis -- 3 Results -- 3.1 Go vs No/Go Condition in the Self and Other Conditions Combined -- 3.2 Go vs No/Go Condition in the Self and Other Perspective Condition -- 4 Discussion -- References -- A Novel Custom Deep Learning Network Combining 1D-Convolution and LSTM for Rapid Wine Quality Detection in Small and Average-Scale Applications -- 1 Introduction -- 2 Material and Methodology -- 2.1 Data Description -- 2.2 Sampling Procedure -- 2.3 Computation Algorithm -- 3 Computation Algorithm -- 4 Validation Strategy -- 5 Result and Discussion -- 6 Conclusion -- References -- IoT-Enabled Wearable Smart Glass for Monitoring Intraoperative Anesthesia Patients -- 1 Introduction -- 1.1 Surgical Patient Monitoring System -- 1.2 Literature Review -- 2 Experimental Setup and Procedure -- 3 Results and Discussions -- 4 Conclusion -- References. Traffic Density Estimation at Intersections via Image-Based Object Reference Method -- 1 Introduction -- 2 Related Work -- 3 Problem Definition and Proposed Solutions -- 3.1 Problem Definition -- 3.2 Proposed Solutions -- 4 Experiment Setup and Result -- 4.1 Overall System Architecture -- 4.2 Automatic Access -- 4.3 Data Setup -- 4.4 Error Rate Calculation -- 4.5 Result and Evaluation -- 5 Conclusion and Future Work -- References -- Improving Automatic Speech Recognition via Joint Training with Speech Enhancement as Multi-task Learning -- 1 Introduction -- 2 Related Work -- 3 ASR-SE: A MTL Approach -- 4 Experiments and Results -- 5 Conclusion -- References -- Solving Feature Selection Problem by Quantum Optimization Algorithm -- 1 Introduction -- 2 Feature Selection Model -- 3 Solving Feature Selection Problems by CVaR-QAOA -- 3.1 Quantum Approximate Optimization Algorithm -- 3.2 CVaR Optimization for QAOA -- 3.3 Apply CVaR-QAOA to Feature Selection Problem -- 4 Numerical Simulation -- 5 Conclusion and Feature Work -- References -- A Methodology of Extraction DC Model for a 65 nm Floating-Gate Transistor -- 1 Introduction -- 2 Floating-Gate Transistor Concepts -- 2.1 Device Structure -- 2.2 DC Operation -- 3 Methodology in Model Extraction -- 4 Result -- 4.1 Drain Current Versus Control Gate Voltage at Initial Condition -- 4.2 Drain Current Versus Control Gate Voltage When VSB Varies -- 4.3 Drain Current Versus Control Gate Voltage When VD Varies -- 4.4 Drain Current Versus Drain Voltage When VCG Varies -- 5 Conclusion -- References -- imMeta: An Incremental Sub-graph Merging for Feature Extraction in Metagenomic Binning -- 1 Introduction -- 2 Methods -- 2.1 Fundamentals and Notations -- 2.2 Algorithms -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Performance Metrics -- 3.3 Results -- 3.4 Parameter Evaluation -- 4 Conclusion -- References. Virtual Sensor to Impute Missing Data Using Data Correlation and GAN-Based Model -- 1 Introduction -- 2 Related Work -- 3 Problem Description -- 4 Virtual Sensor Components -- 4.1 Generator -- 4.2 Discriminator -- 4.3 Data Correlation Arrangement -- 4.4 Hint -- 4.5 Objective -- 5 Algorithm -- 6 Experiments -- 6.1 Performance of the Proposed Virtual Sensor -- 6.2 Virtual Sensor Prediction Accuracy -- 7 Conclusions and Future Work -- References -- An Edge AI-Based Vehicle Tracking Solution for Smart Parking Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experimental Results -- 4.1 Training Phase -- 4.2 Evaluation -- 5 Conclusion -- References -- Low-Light Image Enhancement Using Quaternion CNN -- 1 Introduction -- 2 Background -- 2.1 Quaternion Algebra -- 2.2 Quaternion Convolutional Neural Network -- 2.3 CNN Approaches for Image Enhancements -- 3 Proposed Quaternion Attention Unet -- 3.1 Quaternion ResUnet -- 3.2 Quaternion Attention Module -- 3.3 The proposed Quaternion Attention Unet model -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Training of Quaternion CNN -- 4.3 Performance Evaluations -- 5 Conclusion and Future Work -- References -- Leverage Deep Learning Methods for Vehicle Trajectory Prediction in Chaotic Traffic -- 1 Introduction -- 1.1 Vehicle Trajectory Prediction -- 1.2 The Challenges in Vietnamese Traffic -- 2 Related Work -- 3 Methods -- 3.1 Vehicle Detection -- 3.2 Vehicle Tracking -- 3.3 Vehicle Trajectory Prediction -- 4 Experiment -- 4.1 Experimental Setup and Implementation -- 4.2 Metrics -- 4.3 Experimental Result -- 5 Conclusion -- References -- AIoT System Architectures -- Wireless Sensor Network to Collect and Forecast Environment Parameters Using LSTM -- 1 Introduction -- 2 Related Work -- 3 Proposing System -- 3.1 System Overview -- 3.2 System Details -- 4 Simulation and Result -- 4.1 Product. 4.2 Training Result. |
| Record Nr. | UNINA-9910754096403321 |
Dao Nhu-Ngoc
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| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligence of Things : The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 2
| Intelligence of Things : The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 2 |
| Autore | Dao Nhu-Ngoc |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (368 pages) |
| Altri autori (Persone) |
ThinhTran Ngoc
NguyenNgoc Thanh |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN | 3-031-46749-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- AIoT Services and Applications -- Investigating Ensemble Learning Methods for Predicting Water Quality Index -- 1 Introduction -- 2 Methodology -- 2.1 Decision Tree -- 2.2 Bagging (Bootstrapped Aggregating) -- 2.3 Random Forest -- 2.4 Extra Trees -- 2.5 Adaptive Boosting -- 2.6 XGBoost (eXtreme Gradient Boosting) -- 3 Experiments and Results -- 3.1 Data Description -- 3.2 Metrics to Evaluate the Performance of ML Models -- 3.3 The Performance of Ensemble Methods on Predicting the WQI -- 4 Conclusions -- References -- Age-Invariant Face Recognition Based on Self-Supervised Learning -- 1 Introduction -- 2 Related Works -- 2.1 Age-Invariant Face Recognition -- 2.2 Self-Supervised Learning in Face Recognition -- 3 Methods -- 3.1 Data Augmentation -- 3.2 Age-Invariant Face Recognition Models -- 3.3 Self-Supervised Learning -- 4 Experimental Results -- 4.1 Experiment Setup -- 4.2 Experimental Results -- 5 Conclusion -- References -- Detection of Kidney Stone Based on Super Resolution Techniques and YOLOv7 Under Limited Training Samples -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dataset -- 3.2 Convolutional Block Attention Module -- 3.3 Single Image Super Resolution Techniques -- 3.4 The Proposed Re-Designed YOLOv7 Architecture -- 4 Experimental Results -- 4.1 Environment and Hyperparameters Setup -- 4.2 Evaluation Results -- 5 Conclusion -- References -- Hardware-Based Lane Detection System Architecture for Autonomous Vehicles -- 1 Introduction -- 2 Related Work -- 3 Proposed Hough Transform Hardware Design Architecture -- 4 Proposed Design Verification -- 5 Conclusions -- References -- Video Classification Based on the Behaviors of Children in Pre-school Through Surveillance Cameras -- 1 Introduction -- 2 Related Works -- 3 The BCiPS Dataset -- 3.1 Dataset Creation.
3.2 Dataset Analysis -- 4 Baseline Models -- 4.1 CNN+LSTM (ConvLSTM2D) -- 4.2 CNN+SVM -- 4.3 CNN+Random Forest -- 4.4 TimeSformer -- 4.5 MoViNets -- 4.6 (2+1)D Resnet-18 -- 4.7 EfficientNetB0 -- 5 Results -- 5.1 Results of Baseline Models -- 5.2 Error Analysis -- 6 Conclusion-Future Works -- References -- Land Subsidence Susceptibility Mapping Using Machine Learning in the Google Earth Engine Platform -- 1 Introduction -- 2 Study Area -- 3 Materials and Methods -- 3.1 Methods -- 3.2 Materials -- 4 Results and Discussions -- 5 Conclusions -- References -- Building an AI-Powered IoT App for Fall Detection Using Yolov8 Approach -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Network Architecture -- 3.2 Fall Detection Work Flow -- 3.3 Performance Metrics -- 4 Implementation and Result -- 4.1 Data -- 4.2 Comparison Result of Different YOLOv5 Models over 100 Epochs -- 4.3 Fall Detection Web Application Using Streamlit -- 5 Discussion and Conclusion -- References -- Seam Puckering Level Classification Using AIoT Technology -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 3.1 Framework Architecture -- 3.2 Custom Dataset -- 3.3 Models for Seam Puckering Level Classification -- 3.4 System Implementation -- 4 Result and Evaluation -- 4.1 Result -- 4.2 Evaluation -- 5 Discussion, Conclusion, and Future Works -- References -- Classification of Pneumonia on Chest X-ray Images Using Transfer Learning -- 1 Introduction -- 2 Related Works -- 3 Dataset and Methods -- 3.1 Dataset -- 3.2 Proposed Method -- 4 Experimental Results -- 5 Conclusions -- References -- Bayesian Approach for Static Object Detection and Localization in Unmanned Ground Vehicles -- 1 Introduction -- 2 Methodologies -- 2.1 Detecting Algorithms -- 2.2 Noise Reducing and Navigating Procedures -- 2.3 Sensor's Fusion and Target Localization. 3 Experiment and Prelim Results -- 3.1 Simulation Environment -- 3.2 Onsite Testing -- 4 Conclusion and Future Work -- References -- Diabetic Retinopathy Diagnosis Leveraging Densely Connected Convolutional Networks and Explanation Technique -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Preprocessing -- 3.2 Data Augmentation -- 3.3 Architectures for Classification -- 3.4 Grad-CAM for Output Visualization From the Trained Model -- 4 Experimental Results -- 4.1 Datasets -- 4.2 Evaluation Metrics -- 4.3 Scenarios -- 4.4 Result Summary and Comparison with Some Previous Studies -- 5 Conclusion -- References -- Deep Learning Approach for Inundation Area Detection Using Sentinel Data -- 1 Introduction -- 2 Methodology and Dataset -- 2.1 Methodology -- 2.2 Dataset -- 3 Prelim Results -- 4 Conclusion -- References -- Classification of Raisin Grains Based on Ensemble Learning Techniques in Machine Learning -- 1 Introduction -- 2 Problem and Data -- 3 Research Methodology -- 3.1 Existing Methods -- 3.2 Proposed Method -- 3.3 Data Preprocessing -- 3.4 Experimental Settings -- 4 Results -- 5 Conclusion -- References -- An Effective Deep Learning Model for Detecting Plant Diseases Using a Natural Dataset for the Agricultural IoT System -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Data Augmentation Methods -- 3.2 Datasets -- 3.3 CNN Architecture -- 4 The Proposed Model -- 5 Conclusions -- References -- Real-Time Air Quality Monitoring System Using Fog Computing Technology -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 3.1 System Design -- 3.2 Pollution Parameters Selection -- 3.3 Data Acquisition Module -- 3.4 Communication Module -- 3.5 Fog Computing Module -- 4 Implementation and Evaluation -- 4.1 Implementation -- 4.2 Evaluation -- 5 Discussion, Conclusion, and Future Works -- References. An Intelligent Computing Method for Scheduling Projects with Normally Distributed Activity Times -- 1 Introduction -- 2 Project Scheduling with Crisp Activity Duration Times Using Approach Based on Linear Programming -- 2.1 Program Evaluation and Review Technique: Some Fundamental Definitions and Concepts -- 2.2 Scheduling Projects Using Linear Programming -- 3 Schedule Project with Normally Distributed Activity Times Using an Approach Based on Fuzzy Linear Programming -- 3.1 Solving a Class of Stochastic Programming Problems Using Fuzzy Linear Programming -- 3.2 Computing the Project Completion Time when Project Activity Duration Times are Random Variables following Normal Distributions -- 3.3 Finding Critical Activities when Project Activity Duration Times are Random Variables following Normal Distributions -- 4 Concluding Observations -- References -- Security and Privacy -- An Improved Hardware Architecture of Ethereum Blockchain Hashing System -- 1 Introduction -- 2 Proposed Ethash Hardware Architecture -- 2.1 The Architecture of Ethash -- 2.2 The Architecture of Keccak256_2stage -- 2.3 The Architecture of Main_Loop -- 3 Implementation Results -- 3.1 Keccak Implementation Result -- 3.2 Ethash Implementation Result -- 4 Conclusion -- References -- CSS-EM: A Comprehensive, Secured and Sharable Education Management System for Schools -- 1 Introduction -- 2 Blockchain -- 2.1 Overview -- 2.2 Substrate -- 3 Proposed Scorechain System -- 3.1 Scorechain System Overview -- 3.2 A Comprehensive University Management System -- 3.3 High Secure Data Management Through a Hierarchical Role Assignment Mechanism -- 3.4 Multiple Universities' High Secure Privacy and Data-Sharing Platform -- 4 System Implementation -- 5 Discussion -- 6 Conclusion -- References -- A High-Speed Barret-Based Modular Multiplication with Bit-Correction for the CRYSTAL-KYBER Cryptosystem. 1 Introduction -- 2 The Preliminary Background -- 2.1 Barret Reduction Method -- 2.2 K-RED/K2-RED Reduction Method -- 3 The Proposed Design -- 4 Implementation Result -- 5 Conclusion -- References -- Securing Digital Futures: Exploring Decentralised Systems and Blockchain for Enhanced Identity Protection -- 1 Introduction -- 2 Centralized and Decentralized Identity Models -- 2.1 Definition -- 2.2 Process -- 2.3 Practical Applications -- 2.4 Advantages -- 2.5 Disadvantages -- 2.6 Decentralized Identity Model -- 3 Preliminaries of Blockchain-Based Digital Identity Management System -- 3.1 Blockchain Technology -- 3.2 AI and OCR Technologies -- 3.3 Zero-Knowledge Proof and Smart Contracts -- 4 Proposed System Model and Processes for Managing Privacy Attributes -- 4.1 Scheme Overview -- 4.2 User Registration -- 4.3 Identity Verification -- 4.4 Authentication in Digital Identity Decentralized System on Blockchain -- 4.5 Access Control -- 5 Conclusion and Future Work -- 5.1 Conclusion -- 5.2 Future Work -- References -- Enhancing Blockchain Interoperability Through Sidechain Integration and Valid-Time-Key Data Access Control -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 3.1 Blockchain -- 3.2 Sidechain -- 3.3 Valid Time Key - VTK -- 3.4 Cross-Chain Data Transfer -- 4 Experiments and Results -- 4.1 Performance Evaluation -- 4.2 Security Analysis -- 5 Conclusions and Future Work -- References -- An IoT Attack Detection Framework Leveraging Graph Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Graph Neural Networks (GNNs) -- 4 Data Preparation -- 4.1 Datasets -- 4.2 Data Acquisition and Integration -- 4.3 Data Preprocessing -- 4.4 Feature Selection -- 5 GraphSage-Based Attack Classification Framework -- 6 Performance Evaluation and Discussion -- 7 Conclusion -- References -- Network Attack Detection on IoT Devices Using 2D-CNN Models. 1 Introduction. |
| Record Nr. | UNINA-9910754096603321 |
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Dao Nhu-Ngoc
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| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems [[electronic resource] ] : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Kietikul Jearanaitanakij, Ali Selamat, Bogdan Trawiński, Suphamit Chittayasothorn
| Intelligent Information and Database Systems [[electronic resource] ] : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23–26, 2020, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Kietikul Jearanaitanakij, Ali Selamat, Bogdan Trawiński, Suphamit Chittayasothorn |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XLII, 652 p. 337 illus., 168 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computers Computer organization Optical data processing Computational intelligence Artificial Intelligence Information Systems and Communication Service Computer Systems Organization and Communication Networks Computer Imaging, Vision, Pattern Recognition and Graphics Computing Milieux Computational Intelligence |
| ISBN | 3-030-41964-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Knowledge Engineering and Semantic Web -- Toward Blockchain-Assisted Gami ed Crowdsourcing for Knowledge Refinement -- Predicting research collaboration trends based on the similarity of publications and relationship of scientists -- Assessing the in uence of con ict pro le properties on the quality of consensus -- OWL RL to Framework for Ontological Knowledge Integration preliminary transformation -- Natural Language Processing -- Cached Embedding with Random Selection: Optimization Technique to Improve Training Speed of Character-Aware Embedding -- A Comparative Study of Pretrained Language Models on Thai Social Text Categorization -- Comparative Analysis of Deep Learning Models for Myanmar Text Classification -- Open Information Extraction as Additional Source for Kazakh Ontology Generation -- Comparing High Dimensional Word Embeddings Trained on Medical Text to Bag-of-Words For Predicting Medical Codes -- Dyslexic Frequency Signatures in Relaxation and Letter Writing -- Decision Support and Control Systems -- A trading framework based on fuzzy Moore machines -- Fuzzy cation of repeatable trust game -- Online Auction and Optimal Stopping Game with Imperfect Observation -- Metaheuristics for Discovering Favourable Continuous Intravenous Insulin Rate Protocols from Historical Patient Data -- Continuous-Time Approach to Discrete-Time PID Control for UPS Inverters - a case study -- On stabilizability of discrete time systems with delay in control -- A Simple yet E cient MCSes Enumeration with SAT Oracles -- Alpha-N: Shortest Path Finder Automated Delivery Robot with Obstacle Detection and Avoiding System -- Image Representation for Cognitive Systems using SOEKS and DDNA: A case study for PPE compliance -- Harmony Search Algorithm with Dynamic Adjustment of PAR Values for Asymmetric Traveling Salesman Problem -- Graph-based Optimization of Public Lighting Retro -- Solving the Unrelated Parallel Machine Scheduling Problem with Setups Using Late Acceptance Hill Climbing -- Computer Vision Techniques -- Study on Digital Image Evolution of Artwork by Using Bio-Inspired Approaches -- 3D Model-Based 6D Object Pose Tracking on RGB Images -- Angiodysplasia Segmentation on Capsule Endoscopy Images Using AlbuNet with Squeeze-and-Excitation Blocks -- GOHAG: GANs Orchestration for Human Actions Generation -- Machine Learning and Data Mining -- Improved Finger-vein Classification Using Granular Support Vector Machine -- Mining Non-redundant Periodic Frequent Patterns -- On Robustness of Adaptive Random Forest Classifier on Biomedical Data Stream -- Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers -- Confidence in prediction: an approach for dynamic weighted ensemble -- Towards personalized radio-chemotherapy (learning from clinical data vs. model optimization -- Inference Ability Assessment of Modi ed Differential Neural Computer -- Simple Quantum Circuits for Data Classifification -- A DCA based algorithm for Feature Selection in Model-Based Clustering -- PRTNets: Cold-Start Recommendations Using Pairwise Ranking and Transfer Networks -- Deep Learning Models -- Dynamic Prototype Selection by Fusing Attention Mechanism for Few Shot Relation Classification -- An Enhanced CNN Model on Temporal Educational Data for Program-level Student Classification -- Ensemble of Multi-channel CNNs for Multi-Class Time-Series Classfication. Depth-Based Human Activity Recognition -- Post-training quantization methods for deep learning models -- Semi-supervised representation learning for 3D Point Clouds -- Stock Return Prediction Using Dual-Stage Attention Model with Stock Relation Inference -- Comparison of aggregation functions for 3D Point Clouds classification -- Benign and Malignant Skin Lesion Classifi cation Comparison for Three Deep-Learning Architectures -- Advanced Data Mining Techniques and Applications -- Automatic Parameter Setting in Hough Circle Transform -- Construction of an Intelligent Tennis Coach based on Kinect and a Sensor-based Tennis Racket -- Data Pre-Processing based on Convolutional Neural Network for Improving Precision of Indoor Positioning -- E cient Approaches for Updating Sequential Patterns -- Improving Accuracy of Peacock Identi cation in Deep Learning Model using Gaussian Mixture Model and Speeded Up Robust Features -- A Lifelong Sentiment Classifi cation Framework based on a Close Domain Lifelong Topic Modeling Method -- Multiple Model Approach to Machine Learning -- Data preprocessing for DES-KNN and its application to imbalanced medical data classification -- Novel approach to Gentle AdaBoost Algorithm with Linear Weak Classfiers -- Automatic Natural Image Colorization -- Remote Usability Testing of Data Input Methods for Web Applications -- Machine Learning Models For Real Estate Appraisal Constructed Using Spline Trend Functions -- Application of Intelligent Methods to Constrained Problems Configuration of employee competences in IT projects. |
| Record Nr. | UNISA-996418306503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intelligent Information and Database Systems [[electronic resource] ] : Third International Conference, ACIIDS 2011, Daegu, Korea, April 20-22, 2011, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Chong-Gun Kim, Adam Janiak
| Intelligent Information and Database Systems [[electronic resource] ] : Third International Conference, ACIIDS 2011, Daegu, Korea, April 20-22, 2011, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Chong-Gun Kim, Adam Janiak |
| Edizione | [1st ed. 2011.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 |
| Descrizione fisica | 1 online resource (XXVIII, 570 p.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Data mining Application software Database management User interfaces (Computer systems) Algorithms Artificial Intelligence Data Mining and Knowledge Discovery Information Systems Applications (incl. Internet) Database Management User Interfaces and Human Computer Interaction Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-20039-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465908803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intelligent information and database systems : second International Conference, ACIIDS, Hue City, Vietnam, March 24-26, 2010 : proceedings. Part I / / Ngoc Thanh Nguyen, Manh Thanh Le, Jerzy Swiatek, (eds.)
| Intelligent information and database systems : second International Conference, ACIIDS, Hue City, Vietnam, March 24-26, 2010 : proceedings. Part I / / Ngoc Thanh Nguyen, Manh Thanh Le, Jerzy Swiatek, (eds.) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Berlin, : Springer, 2010 |
| Descrizione fisica | 1 online resource (XXIII, 477 p. 196 illus.) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
NguyenNgoc Thanh
LeManh Thanh SwiatekJerzy |
| Collana |
LNCS sublibrary. SL 7, Artificial intelligence
Lecture notes in artificial intelligence |
| Soggetto topico | Databases |
| ISBN | 3-642-12145-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Keynote Speeches -- Selected Problems of the Static Complex Systems Identification -- Combining and Integrating Advanced IT-Concepts with Semantic Web Technology Mashups Architecture Case Study -- Intelligent Database Systems -- Web Page Augmentation with Client-Side Mashups as Meta-Querying -- Soft Computing Techniques for Intrusion Detection of SQL-Based Attacks -- Efficiently Querying XML Documents Stored in RDBMS in the Presence of Dewey-Based Labeling Scheme -- From Data Mining to User Models in Evolutionary Databases -- How to Construct State Registries–Matching Undeniability with Public Security -- Data Warehouses and Data Mining -- Regions of Interest in Trajectory Data Warehouse -- AFOPT-Tax: An Efficient Method for Mining Generalized Frequent Itemsets -- A Novel Method to Find Appropriate ? for DBSCAN -- Towards Semantic Preprocessing for Mining Sensor Streams from Heterogeneous Environments -- HOT aSAX: A Novel Adaptive Symbolic Representation for Time Series Discords Discovery -- The Vector Space Models for Finding Co-occurrence Names as Aliases in Thai Sports News -- Efficiently Mining High Average Utility Itemsets with a Tree Structure -- Intelligent Information Retrieval -- Human Activity Mining Using Conditional Radom Fields and Self-Supervised Learning -- Visualization of Influenza Protein Segment HA in Manifold Space -- Multimodal s n,k -Grams: A Skipping-Based Similarity Model in Information Retrieval -- Going Beyond the Surrounding Text to Semantically Annotate and Search Digital Images -- Context Oriented Analysis of Web 2.0 Social Network Contents - MindMeister Use-Case -- Technologies for Intelligent Information Systems -- Generation of a FIR Filter by Means of a Neural Network for Improvement of the Digital Images Obtained Using the Acquisition Equipment Based on the Low Quality CCD Structurecture -- Robust Fuzzy Clustering Using Adaptive Fuzzy Meridians -- An Ambient Agent Model Incorporating an Adaptive Model for Environmental Dynamics -- A New Algorithm for Divisible Load Scheduling with Different Processor Available Times -- Evolutionary Computational Intelligence in Solving the Fractional Differential Equations -- A Neural Network Optimization-Based Method of Image Reconstruction from Projections -- Entrance Detection of Buildings Using Multiple Cues -- Spectrum Sharing with Buffering in Cognitive Radio Networks -- Extracting Chemical Reactions from Thai Text for Semantics-Based Information Retrieval -- Coalition Formation Using Combined Deterministic and Evolutionary Approach -- Applications of Intelligent Systems -- A New CBIR System Using SIFT Combined with Neural Network and Graph-Based Segmentation -- Computer-Aided Car Over-Taking System -- Learning Model for Reducing the Delay in Traffic Grooming Optimization -- Power Load Forecasting Using Data Mining and Knowledge Discovery Technology -- A Collaborative Framework for Multiagent Systems -- Solving Unbounded Knapsack Problem Based on Quantum Genetic Algorithms -- Detecting Design Pattern Using Subgraph Discovery -- A Fuzzy Time Series-Based Neural Network Approach to Option Price Forecasting -- Integrated Use of Artificial Neural Networks and Genetic Algorithms for Problems of Alarm Processing and Fault Diagnosis in Power Systems -- Using Data from an AMI-Associated Sensor Network for Mudslide Areas Identification -- Semantic Web Service Composition System Supporting Multiple Service Description Languages -- Forecasting Tourism Demand Based on Improved Fuzzy Time Series Model -- Weighted Fuzzy Time Series Forecasting Model -- A System for Assisting English Oral Proficiency – A Case Study of the Elementary Level of General English Proficiency Test (GEPT) in Taiwan -- Verification of Stored Security Data in Computer System -- Ant Colony Clustering Using Mobile Agents as Ants and Pheromone -- Mining Source Codes to Guide Software Development -- Forecasting Stock Market Based on Price Trend and Variation Pattern -- Intelligent Prebuffering Using Position Oriented Database for Mobile Devices. |
| Record Nr. | UNINA-9910483597303321 |
| Berlin, : Springer, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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New frontiers in applied artificial intelligence : 21st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2008, Wrocaw, Poland, June 18-20, 2008 : proceedings / / Ngoc Thanh Nguyen . [et al.] (eds.)
| New frontiers in applied artificial intelligence : 21st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2008, Wrocaw, Poland, June 18-20, 2008 : proceedings / / Ngoc Thanh Nguyen . [et al.] (eds.) |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin ; ; New York, : Springer, c2008 |
| Descrizione fisica | 1 online resource (XVIII, 879 p.) |
| Disciplina | 006.3 |
| Altri autori (Persone) | NguyenNgoc Thanh |
| Collana |
Lecture notes in computer science. Lecture notes in artificial intelligence
LNCS sublibrary. SL 7, Artificial intelligence |
| Soggetto topico |
Artificial intelligence - Industrial applications
Expert systems (Computer science) - Industrial applications |
| ISBN | 3-540-69052-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Computer Vision -- Fuzzy System Applications -- Robot and Manufacturing -- Data Mining and KDS -- Neural Networks -- Machine Learning -- Natural Language Processing -- Internet Application and Education -- Heuristic Search -- Application Systems -- Agent-Based System -- Evolutionary and Genetic Algorithms -- Knowledge Management -- Other Applications -- Special Session: Knowledge Driven Manufacturing Systems -- Special Session: Joint Session on Adaptive Networked Systems and Fuzzy Knowledge Bases -- Special Session: Software Agents and Multi-Agent Systems. |
| Altri titoli varianti |
21st International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
IEA/AIE 2008 |
| Record Nr. | UNINA-9910768170403321 |
| Berlin ; ; New York, : Springer, c2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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