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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 | ||
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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 | ||
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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 | ||
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Intelligence of Things : The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 1
| Intelligence of Things : The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 1 |
| Autore | Dao Nhu-Ngoc |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (397 pages) |
| Altri autori (Persone) |
PhamQuang-Dung
ChoSungrae NguyenNgoc Thanh |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN |
9783031755934
3031755936 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910917794803321 |
Dao Nhu-Ngoc
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||
| Cham : , : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligence of Things : The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 2
| Intelligence of Things : The Third International Conference on Intelligence of Things (ICIT 2024), Da Nang, Vietnam, September 12-14, 2024, Proceedings, Volume 2 |
| Autore | Dao Nhu-Ngoc |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2025 |
| Descrizione fisica | 1 online resource (385 pages) |
| Altri autori (Persone) |
PhamQuang-Dung
ChoSungrae NguyenNgoc Thanh |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN | 9783031755965 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910918591303321 |
|
Dao Nhu-Ngoc
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||
| Cham : , : Springer, , 2025 | ||
| 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 |
| Soggetto topico |
Internet of things
Artificial intelligence |
| ISBN |
9783031467493
3031467493 |
| 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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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 |
| Soggetto topico |
Artificial intelligence
Internet of things |
| ISBN |
9783031465734
3031465733 |
| 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 |
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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 : 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Tokuro Matsuo, Ford Lumban Gaol, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Krystian Wojtkiewicz
| Intelligent Information and Database Systems : 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Tokuro Matsuo, Ford Lumban Gaol, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Krystian Wojtkiewicz |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXXIV, 385 p. 125 illus., 103 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Database management Data mining Information storage and retrieval systems Application software Artificial Intelligence Computer Communication Networks Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications |
| ISBN | 981-9660-08-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Data Mining, Processing and Integration. -- Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems. -- A Hybrid Discovery Framework for USV Voyage Route Generation Using AIS Data. -- Proactive approach to personnel assignment in University Course Timetabling Problem. -- Improving Traffic Sign Detection Using Synthetic Data and Automatic Labeling. -- Unraveling Research Patterns in Quantum Computing Through Topic Modeling and Network Analysis. -- Mining Erasable Patterns Using the Bitmap Method in Quantitative Component Databases. -- Privacy Preserving Based on SHA Encryption and Cluster Analysis in Federated Frequent Itemset Mining. -- An Optimization Algorithm for Finding Extractive Summary from Multiple Source Documents Based on Association and Clustering. -- Improving Stress Detection with Synthetic Datasets: GPT-4o-mini and Transformer Model Evaluation. -- On Translating Association-Oriented Structures of Unified Process Metamodel into OWL. -- A Method for Evaluating Expressive Power and Semantic Capacity of Metamodel in Conceptual Data Modeling. -- Optimizing Task Estimation Accuracy in Agile Projects: A Data-Driven Study. -- Low Computational Aggregation Method for Time Series Forecasting. -- Information graphs in process analysis. -- Deep Learning Methods and Applications. -- ESM-VAE: Bias Reduction in EEG Models via Synthetic Data Generation with Variational Autoencoders. -- Chromatic Aberration Detection Using Fully Convolutional Networks. -- Contextual Statistical Evaluation of Selected CRISPR-Cas9 Recurrent Deep Learning Models Predicting Off-target Activities for K562 and Hek293 Cell Lines. -- CerMixer: An Efficient Model for Cervical Cancer Classification Based on Patching and Multi-Scale Depthwise Convolutional Fusion. -- Generative Models Applications. -- Prompts De-Biasing Augmentation to Mitigate Gender Stereotypes in Large Language Models. -- Automatic Creation of Multilingual Knowledge Graph with Large Language Models. -- Simulating Oxford-Style Debates with LLM-based Multi-Agent Systems. -- An empirical review of the effectiveness of different language processing approaches in Software Code Vulnerability Detection. -- Intelligent Information Systems and Problem-Solving Algorithms. -- Analysis of Artificial Intelligence Solutions in Offensive Cybersecurity Domains. -- Research on the Application of Large Language Models (LLM) for Improving Recruitment Efficiency and Accuracy. -- A Trading Strategy Portfolio Optimization Approach Based on Fuzzy Mean-semivariance Model Using Memetic Algorithm. -- Brain-Computer Interface Framework for Real-Time Application Adaptation. -- Jaccard Distance under Incompleteness. |
| Record Nr. | UNINA-9910999672803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Tokuro Matsuo, Ford Lumban Gaol, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Krystian Wojtkiewicz
| Intelligent Information and Database Systems : 17th Asian Conference, ACIIDS 2025, Kitakyushu, Japan, April 23-25, 2025, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Tokuro Matsuo, Ford Lumban Gaol, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Krystian Wojtkiewicz |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (XXXIII, 423 p. 141 illus., 125 illus. in color.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer networks Database management Data mining Information storage and retrieval systems Application software Artificial Intelligence Computer Communication Networks Database Management Data Mining and Knowledge Discovery Information Storage and Retrieval Computer and Information Systems Applications |
| ISBN | 981-9660-05-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Games and Decision Theories. -- Deterministic and Nondeterministic Decision Trees for Recognition of All Realizable Decision Rules. -- Billiards-based Generation of Multi-task, Dense Subitizing Detection Diagrams. -- GAMER-Pong: Game Adjustment by Monitoring Emotional Response. -- Image Processing and Computer Vision. -- Machine Learning Algorithms for Hand sEMG-recorded Movements. -- Boosting Face Super-Resolution and Identification with Knowledge Distillation and Frequency Domain Loss. Improving Efficiency Image Captioning by using Attention Mechanism combined with Knowledge Graph. -- An approach of fuzzy-enhanced multi-viewed image embedding fusion for spinal disease detection. -- Boosting Lightweight Multi-Branch Network by Integrating Segment, Skeleton, and Attribute Information. -- Continuous Recognition of Mouth Patterns in Japanese Sign Language for Visual Communication. -- Towards an UAV Visual Navigation System Based on Map Processing and Spatial Matching Techniques: a Literature Review. -- Image enhancement with Boosted Schr¨odinger Bridge. -- Intelligent Techniques in Optimization. -- Kernel-Level Energy-Efficient Neural Architecture Search for Tabular Dataset. -- Estimation of Distribution Algorithms with Overlapped Populations. -- Energy-Efficient Edge Query Processing for Smart City using Query Prediction. -- Influence Maximization with Fairness Cost on Groups in Online Social Networks. -- TMMP: Efficient Continual Learning via Mixture of LoRA Experts and Top Maximum Magnitude Parameter Fusion. -- ADMEdge: Accelerating Edge Computing through Co-Design for Enhanced Data Mobility. -- Machine Learning Techniques and Applications. -- The recursive scheme of clustering. -- TOPSIS-inspired Socio-cognitive Mutation Operator for Metaheuristics. -- Feature-Based Drift Detection in Non-Stationary Data Streams Using Multiple Classifiers: A Comprehensive Analysis. -- A Feature Transformation Technique for Improving Ensemble Learning Systems. -- Explainable Artificial Intelligence to Improve Interpretability in Predictive Mutation Testing. -- An Analysis of Class Imbalance Challenges in Predictive Mutation Testing. -- Efficient Vietnamese Name Detection using Highly Discriminative N-Grams. -- Evaluation of the effectiveness of ranking methods in detecting feature drift in artificial and real data. -- Using Artificial Neural Networks for Automated Lithologic Mapping and Mineral Exploration in Mayantoc, Tarlac, and San Juan, Batangas. -- Enhancing Accuracy and Stability in XAI for Context-specific Applications. -- Integration of Dynamic Window Sizing with Neural Network Architectures for Real-Time Cryptocurrency Predictions. -- Domain-oriented GCN method for Sentiment Analysis. |
| Record Nr. | UNINA-9910999793503321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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