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Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part IV / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin
| Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part IV / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (574 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
PhamVan Huy
DaoTran Trong HongTzung-Pei ManolopoulosYannis Le KhacNhien An TinPhu Tran |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 3-031-98170-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Machine Learning. -- Clickbait Detection: A Comparative Analysis of Traditional Machine Learning, Deep Learning, and Large Language Models. -- Breast cancer classification based on fuzzy rules and deep learning techniques. -- Enhancing Financial Time Series Forecasting through Anomaly Detection and Repair. -- Explainable AI for Lung Cancer Classification Using Histopathological Images -- Predicting protein-protein interactions: A case study using Hilbert transform with combining ensemble learning model. -- Understanding Job Switching Risks through Interpretability Evaluation. -- Tensor Synergy Network for Multimodal Hate Speech Detection. -- An Ensemble-Based Approach with PhoBERT for Vietnamese Hate and Offensive Spans Detection. -- Scene Sino-Nom Text Optical Character Recognition in Vietnam: a novel approach combining deep learning and linguistic knowledge. -- RAG Prompting for Mental Health Classification with LLM: A Resource-Efficient Alternative to Instruction Tuning. -- Detecting AI-Generated Vietnamese News Articles with Multilingual-E5 and BERT. -- Time Series Classification based on Motif Information and Random Forest Algorithm. -- Deep Learning-Based Classification of Ovarian Cancer Subtypes in Histopathology. -- Illuminating Advances: A Comprehensive Review of Optical Character Recognition for the English Language. -- Imbalanced Data Handling in Financial Distress Prediction: Resampling or Weighted Loss? -- Spatial-Temporal Feature Extraction for Tanzanian Sign Language Recognition in Medical Diagnostics. -- Convolutional Neural Network to Classify Lumber Spine Degenerative Conditions from MRI Images. -- Time Series Classification Using HMM and GMM with Pomegranate Library. -- Control Systems. -- Formation Control of Wheeled Mobile Robots for Moving Target Circumnavigation Using Distributed Estimator and Dynamic Surface Control. -- Integrating Visual Attention into Deep Reinforcement Learning for Enhanced Control in Racing Games. -- PlanFormer: Enhancing Transformer-based Closed-loop Planning Performance for Autonomous Driving. -- EMG-Based Upper Limb Joint Angle Estimation Using LSTM and High-speed Tracking System. -- Design of Control of Battery Storage System for Enhance Power Tracking following the Composite PID model. -- Hybrid Metaheuristic Speed Controller for Uncertain Permanent Magnet Synchronous Motor. -- Advanced Sliding Sensorless Speed Control of PMSM Driving System Using Enhanced Sliding Mode Observer. -- Comparative Evaluation of Memristor-Based 7T2M and 8T3M NVSRAM Architectures. -- An Implementation of Rights Management Mechanism within the e-Healthcare Domain. -- A Real-time Gateway Hydroponic System Design. -- Reducing Energy Losses and Enhancing Efficiency of Inverter Systems in Electric Vehicle Drivetrains. |
| Record Nr. | UNINA-9911113282503321 |
Nguyen Ngoc Thanh
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin
| Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (626 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
PhamVan Huy
DaoTran Trong HongTzung-Pei ManolopoulosYannis Le KhacNhien An TinPhu Tran |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 3-031-98161-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Machine Learning. -- A Hardware-Friendly Approach for ECG Classification based on Deep Learning Algorithm. -- PRIMO: A Privacy-Preserving Decentralized Machine Learning Algorithm. -- Smart Harvesting: Sorting Coffee Fruit Maturity Using Deep Learning. -- Combining Explainable AI (XAI) and Regression Analysis to Explain Relationships in Electricity Consumption Behavior. -- Detecting Anomalies and Defects in Integrated Circuits by Ensembling Deep Learning Models. -- Doctor AI: A Hybrid Model for Clinical Ocular Disease Classification. -- Forecasting Weather: A Scenario of the Mekong Delta. -- Melanoma Detection Using Augmented ResNet34 for High-Precision Dermoscopic Image Classification. -- Abnormal Plum Fruit Detection Using Unsupervised Learning. -- Hybrid Deep Learning Model for MRI Brain Tumor Identification. -- Leveraging Machine Learning for Accurate Order Quantity Forecasting: A Case Study of Vietnam’s Coffee Production Industry. -- An Attentive Deep Neuro-Fuzzy Network for Interpretable Breast Cancer Diagnosis. -- Detection of Littering Behavior Using MobileNet and Vision Transformer. -- The effectiveness of channel and spatial attention for improving image classification. -- ATMOS: IoT-Driven Air Quality Monitoring and Forecasting System Using Machine Learning and Fog Computing. -- Leveraging Deep Neural Networks for Regional Weather Forecasting in Vietnam. -- Detecting Abnormalities in Chest X-ray Images by Combining Classification Methods, Object Detection, and Data Balancing. -- Support Decision Making for Supplier Selection using Feature Importance. -- Optimizing NP-Hard Problems: A Comparative Study of Metaheuristic Algorithms with Benchmark Performance Analysis. -- Wireless Networks (6G). -- On the Performance of Downlink LoRa Networks with Fountain Codes and Diversity Techniques. -- Maximizing Secrecy Performance in UAV-Based Cognitive Relay Systems. -- Outage Performance of NOMA-Aided Multi-hop Relay Schemes in Underlay Cognitive Networks using Foun-tain Codes. -- Energy Outage Analysis for NOMA-based UAV-MEC with imperfect CSI and SIC in IoT network. -- Secure Edge Computing in UAV-Assisted Backscatter Communication NOMA Wireless Sensor Network with Friendly Jamming. -- Multi-Factor Authentication Healthcare Data Security Framework. -- Human-Centric Wireless Energy Harvesting System Design for Rural Ubiquitous Communication in Industry 5.0. -- Performance Analysis of MISO TAS System Using Short Packet Communication Under Impact of Co-Channel Interference. -- Performance Enhancement for Antenna Array using Partial Ground and Reflective Surface. -- BLER analysis of Short Packet Communication in Wireless Energy Harvesting Relaying Networks over Nakagami-m fading. -- A Lightweight Full-Resolution Encoder-Decoder Network for 5G-LTE Spectrogram-based Spectrum Sensing. -- On Performance Evaluation of Fountain Codes-Based Multicast Scheme in Presence of Multiple Passive Eavesdroppers Over INID Rayleigh Fading Channels. |
| Record Nr. | UNINA-9911113953603321 |
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Nguyen Ngoc Thanh
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part III / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin
| Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part III / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (486 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
PhamVan Huy
DaoTran Trong HongTzung-Pei ManolopoulosYannis Le KhacNhien An TinPhu Tran |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 3-031-98167-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Intelligent Systems. -- Skeleton-based action recognition based on dynamic – adaptive spatial graph convolution neural network. -- Pre-trained Intra- and Inter-framework: An Efficient Approach for Cocktail Party Effect. -- A Comparison of Frequent Itemset Mining Algorithms in Distributed File Systems Using PySpark: A-Priori versus PCY. -- Improved Greedy Algorithms for the Set Covering Problem. -- Blockchain-Based Detection of Unauthorized Data Modification in Database. -- A Secure Identity-based Schnorr Multi-Signature Scheme. -- An approach for enhancing Ripe Tomato Classification and Counting by using Deep Learning and SAHI image Processing. -- Performance Evaluation of NSGA-II Evolutionary Algorithm on ZCAT Test Problems with pymoo. -- Game Theory Approaches for Pok´emon AI Battle Simulation. -- LOC-based Instruction Selection for Statistical Root Cause Analysis. -- A Performance Study of Hashing Techniques Used in Bloom-Filters-Based Automatic Bus Ticketing Systems. -- Digital document signing solution without PKI infrastructure for small and medium enterprises. -- Tail-Diffusion: Simulation Scenarios in Finance with Denoising Diffusion Models and Tail Risk Analysis. -- Impact Of Knowledge Management System On Competitive Advantage In Small And Medium Enterprises. -- Option pricing problems in the Heston Model using Discretization and Neural Networks. -- Intelligent Tutoring Systems for Personalized Mathematics Learning: A TPACK Perspective. -- Comparison of Decision Tree and K-Nearest Neighbor for Ad Click Prediction. -- Predicting The Likelihood of Discontinuing Banking Services Using Probabilistic Graphical Models. -- Internet of Things. -- Joint Caching, Transmission Mode Selection, and Phase-shift Optimization for Video Multicasting in UAV-mounted IRS-assisted Edge Content Delivery Networks. -- A Weighted-Sum Approach for Multi-Objective Optimization of Strong Barrier Coverage in IoT Heterogeneous Wireless Sensor Networks. -- Efficient FPGA-Based Hardware Noise Filtering and Real-time Motion Detection Using RE200B Sensor on Trion T8 BGA81. -- BiAS: Transforming Cyber Defense - A Deep Learning Approach for APT Detection. -- Applying virtualization technology in PLC Experiment course with VMWare ESXi hypervisor. -- Temporal Pattern Image-Based Approach for Automotive Intrusion Detection on STM32 Embedded Platform. -- Teaching C++ with pleasure in Multimedia by developing a virtual park learning environment. |
| Record Nr. | UNINA-9911114497603321 |
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Nguyen Ngoc Thanh
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin
| Computational Intelligence in Engineering Science : First International Conference, ICCIES 2025, Ho Chi Minh City, Vietnam, July 23–25, 2025, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Van Huy Pham, Trong Dao Tran, Tzung-Pei Hong, Yannis Manolopoulos, Nhien An Le Khac, Phu Tran Tin |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (0 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
PhamVan Huy
DaoTran Trong HongTzung-Pei ManolopoulosYannis Le KhacNhien An TinPhu Tran |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 3-031-98164-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Computer Vision. -- A Fusion-Based Deep Learning Approach for Enhanced Polyp Detection in Medical Imaging. -- Detection and Distribution Estimation of Rice Seedlings in Direct Seeding Conditions Using UAV-based Imagery. -- Visual-GCN: A Hybrid Graph-Based Recommender System for Fashion. -- Inception Vision Mamba UNet for Breast Ultrasound Tumor Segmentation. -- High-Precision 3D Insect Modeling with Photogrammetry: A Comparative Study. -- Efficient Wheat Head Detection via Lightweight Deep Learning with YOLOv5 Enhancements. -- Enhancing Video Anomaly Detection: Object-based Pseudo Anomalies and Memory Augmented Autoencoder. -- Smart Food Manufacturing: Integrating Deep Learning Models for Enhancing Efficiency in Broken Egg Detection. -- An End-to-end System based on Deep Learning for Oral Disease Detection. -- Application of YOLO Models for Automated Object Detection: Comparison, Analysis, and Recommendations. -- Current Trends in Developing Parallel Corpora for Text-to-Sign Language Translation. -- Detecting Scratches in Microbiological Piping Using Usb Camera and Deep Learning. -- Explainable AI and Enhanced Fuzzy C-Means for Brain Tumor Detection. -- YOLO11n-RP: Lightweight deep learning model for the real-time detection based on YOLOv11. -- Natural Language Processing. -- Parallel Corpus Construction for Chinese and Vietnamese in Historical Texts. -- Insights into Customer Experience in Luxury Hotels: A Topic Modeling and Sentiment Analysis Approach. -- Enhancing Water Conservation through Voice-Activated Smart Irrigation: A User-Centric Approach for Sustainable Agriculture in Vietnam. -- Speech Synthesis on Mobile Device for Fon Language. -- A study on the application of Large Language Models for library security testing under low-resource conditionss. -- Natural Language Processing and Data Analysis for Cybercriminal Attribution: Conti Ransomware Chats. -- Automated Question-Answer Generation for Evaluating Vietnamese RAG-based Approaches . -- Building Machine Translation for Ancient Vietnamese Texts into English with Low Resources. -- Improving Text Generation Using Multi-Step Queries. -- Combination of Traditional Methods for Ukrainian-Vietnamese Deep Translation Models. -- Applying Graph RAG: Enhancing Retrieval and Synthesis of Vietnamese Legal Text Information. -- Decision Support System for Drug Recognition and Disease Diagnosi. -- Pedagogically Anchored Code Clustering: Integrating Assignment Specifications with Control Flow and Structural Features. -- A Transformer-Based OCR for Vietnamese Handwritten Text Recognition. -- Saigon Tourism: A Domain-Specific Dataset for Question Answering Systems. -- SymQA: Enhanced Knowledge Graph Question Answering with Symbolic Program Generation and Execution. |
| Record Nr. | UNINA-9911114340703321 |
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Nguyen Ngoc Thanh
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Hybrid Intelligent Systems : 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), December 13–15, 2022 / / edited by Ajith Abraham, Tzung-Pei Hong, Ketan Kotecha, Kun Ma, Pooja Manghirmalani Mishra, Niketa Gandhi
| Hybrid Intelligent Systems : 22nd International Conference on Hybrid Intelligent Systems (HIS 2022), December 13–15, 2022 / / edited by Ajith Abraham, Tzung-Pei Hong, Ketan Kotecha, Kun Ma, Pooja Manghirmalani Mishra, Niketa Gandhi |
| Autore | Abraham Ajith <1968-> |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (1380 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
HongTzung-Pei
KotechaKetan MaKun Manghirmalani MishraPooja GandhiNiketa |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-27409-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910728399503321 |
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Abraham Ajith <1968->
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 18th Asian Conference, ACIIDS 2026, Kaohsiung, Taiwan, April 13-15, 2026, Proceedings, Part I
| Intelligent Information and Database Systems : 18th Asian Conference, ACIIDS 2026, Kaohsiung, Taiwan, April 13-15, 2026, Proceedings, Part I |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2026 |
| Descrizione fisica | 1 online resource (1028 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChenChun-Hao
FujitaHamido HongTzung-Pei ManolopoulosYannis WojtkiewiczKrystian |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 9789819200719 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911119150803321 |
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Nguyen Ngoc Thanh
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| Singapore : , : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 18th Asian Conference, ACIIDS 2026, Kaohsiung, Taiwan, April 13-15, 2026, Proceedings, Part I
| Intelligent Information and Database Systems : 18th Asian Conference, ACIIDS 2026, Kaohsiung, Taiwan, April 13-15, 2026, Proceedings, Part I |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2026 |
| Descrizione fisica | 1 online resource (1028 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
ChenChun-Hao
FujitaHamido HongTzung-Pei ManolopoulosYannis WojtkiewiczKrystian |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 9789819200719 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996726610103316 |
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Nguyen Ngoc Thanh
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| Singapore : , : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz
| Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part II / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (446 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
ChbeirRichard
ManolopoulosYannis FujitaHamido HongTzung-Pei NguyễnLê Minh WojtkiewiczKrystian |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer science
Computer Science |
| ISBN |
9789819749850
9819749859 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Data Modelling and Smart Information Systems. -- A systematic review of medicinal plant identification using deep learning. -- KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification. -- MVis4LD: Multimodal Visual Interactive System for Lie Detection. -- ULTIMATE Project Toolkit for Robotic AI-based Data Analysis and Visualization. -- Adaptive Traffic Management System based on Real-time Traffic Conditions. -- Formalizing Data Metamodel Semantics for Mapping Patterns Specification. -- Evolution and Refinement of the Formal Framework for Collective Systems. -- Multi-criteria temporal intelligent decision support system for sustainable energy mix assessment. -- Image and Video Processing. -- Brain Tumor Segmentation with FPN-based EfficientNet and XAI. -- V-DETR: Pure Transformer for End-To-End Object Detection. -- Enhancing Classification of Parasite Microscopy Images Through Image Edge-Accentuating Preprocessing. -- Enhancing Deepfake Detection Through Innovative Data Augmentation Strategies and Frame-Based Deep Learning Architecture. -- Self-supervised adversarial masking for 3D point cloud representation learning. -- Facial Ethnicity Recognition Based on a New Joint Loss Function. -- Decision-making Approach for Early Plant Stress Detection from Hyperspectral Images. -- Adaptive Scheme of Clustering-based Unsupervised Learning for Person Re-identification. -- Machine Learning Algorithms in Theory and Practice. -- An ensemble classifier based on kNN with an interval threshold strategy. -- Superior Parallel Big Data Clustering through Competitive Stochastic Sample Size Optimization in Big-means. -- Invigorative Art. Can a Computer Program Be Creative?. -- Exploring the Impact of Object Diversity on Classification Quality in Dispersed Data Environments. -- Identification of Users in a Gambling Problem with the Use of Machine Learning. -- Towards Robust Continual Learning: A Multi-Head Approach with Online Prototype Equilibrium and Adaptive Prototypical Feedback. -- On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks. -- Prediction and Recommendation Systems. -- A Clustering-Based Athlete Recommender System Considering the Discrepancy between Ability and Result. -- Interpretable Fuzzy Embedded Neural Network for Multivariate Time-Series Forecasting. -- How to Recommend Multidimensional Data with a Multiplex Graph?. -- Text, Speech and Natural Language Processing. -- Exploring Unsupervised Word Representations Models and Neural Networks for Informal Multilingual Text against Covid-19 Social Media Content. -- Comparative analysis of models for neural machine speech-to-text translation for Turkic state languages`. -- Vietnamese Automatic Speech Recognition for Financial Conversation Data. -- Involving Society to Protect Society from Fake News and Disinformation: Crowdsourced Datasets and Text Reliability Assessment. -- Deep semantic biomedical document representation method. -- Synergistic Text Annotation based on Rule-based Expressions and DistilBERT. |
| Record Nr. | UNINA-9910874691403321 |
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Nguyen Ngoc Thanh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz
| Intelligent Information and Database Systems : 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part I / / edited by Ngoc Thanh Nguyen, Richard Chbeir, Yannis Manolopoulos, Hamido Fujita, Tzung-Pei Hong, Le Minh Nguyen, Krystian Wojtkiewicz |
| Autore | Nguyen Ngoc Thanh |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (342 pages) |
| Disciplina | 004 |
| Altri autori (Persone) |
ChbeirRichard
ManolopoulosYannis FujitaHamido HongTzung-Pei NguyễnLê Minh WojtkiewiczKrystian |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer science
Computer Science |
| ISBN |
9789819749829
9819749824 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- Advanced Data Analysis Methods. -- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data. -- Energy Measurement System for Data Lake: An Initial Approach. -- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction. -- Stochastic approaches for criteria weight identification in multi-criteria decision analysis. -- Exploring Data Preparation Modules by Examples. -- A novel approach to the use of explainability to mine network intrusion detection rules`. -- AI-driven Cybersecurity And Medical Solutions. -- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification. -- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis. -- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques. -- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine. -- Application of Generative Models. -- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection. -- Named Entity Recognition Model for Polish Books. -- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard. -- Professionally Diverse: AI-Generated Faces for Targeted Advertising. -- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions. -- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification. -- Computational Intelligence. -- A Novel Dynamic Programming Method for Non-Parametric Data Discretization. -- Framework to Merge Possibilistic Belief Bases. -- Game-theory Based Voting Schemas for Ensemble of Classifiers. -- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions. -- Predicting Epidemic Outbreak using Climatic factors. -- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method. -- Masked Face-Landmark Prediction with Mask-Coefficient. -- Federated Erasable-itemset Mining with Quasi-erasable Itemsets. -- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm. -- Advanced Data Analysis Methods. -- Continual AE-WGAN for Unsupervised Anomaly Detection in Streaming Data. -- Energy Measurement System for Data Lake: An Initial Approach. -- CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction. -- Stochastic approaches for criteria weight identification in multi-criteria decision analysis. -- Exploring Data Preparation Modules by Examples. -- A novel approach to the use of explainability to mine network intrusion detection rules`. -- AI-driven Cybersecurity And Medical Solutions. -- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification. -- Oral Diseases Recognition Based on Photographic Images and Dental Decay Diagnosis. -- Multifaceted ECG Feature Extraction for AFIB Detection: Using Traditional Machine Learning Techniques. -- Automation of the analysis of medical interviews to improve diagnoses using NLP for medicine. -- Application of Generative Models. -- FramedTruth: A Frame-based Model Utilising Large Language Models for Misinformation Detection. -- Named Entity Recognition Model for Polish Books. -- Building the ArabNER Corpus for Arabic Named Entity Recognition Using ChatGPT and Bard. -- Professionally Diverse: AI-Generated Faces for Targeted Advertising. -- Optimizing Neural Topic Modelling Pipelines for Low-quality Speech Transcriptions. -- OrphaGPT : An Adapted Large Language Model for Orphan Diseases Classification. -- Computational Intelligence. -- A Novel Dynamic Programming Method for Non-Parametric Data Discretization. -- Framework to Merge Possibilistic Belief Bases. -- Game-theory Based Voting Schemas for Ensemble of Classifiers. -- RECALL: Towards Generalized Representations in Unsupervised Federated Learning under Non-IID Conditions. -- Predicting Epidemic Outbreak using Climatic factors. -- A novel approach utilizing local criteria weights for multi-criteria evaluation within the SPOTIS method. -- Masked Face-Landmark Prediction with Mask-Coefficient. -- Federated Erasable-itemset Mining with Quasi-erasable Itemsets. -- An Optimization Approach for Finding Diverse Trading Strategy Portfolio Using the Memetic Algorithm. |
| Record Nr. | UNINA-9910874691003321 |
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Nguyen Ngoc Thanh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II
| Intelligent Information and Database Systems : 14th Asian Conference, ACIIDS 2022, Ho Chi Minh City, Vietnam, November 28-30, 2022, Proceedings, Part II |
| Autore | Nguyen Ngoc Thanh |
| Pubbl/distr/stampa | Cham : , : Springer, , 2023 |
| Descrizione fisica | 1 online resource (766 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
TranTien Khoa
TukayevUalsher HongTzung-Pei TrawińskiBogdan SzczerbickiEdward |
| Collana | Lecture Notes in Computer Science |
| Soggetto non controllato |
Information Technology
Computer Graphics Data Mining Artificial Intelligence Computers |
| ISBN | 3-031-21967-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning and Data Mining -- Machine Learning or Lexicon Based Sentiment Analysis Techniques on Social Media Posts -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Comparison Between Sentiment Analysis Methods -- 4 Results and Discussion -- 5 Conclusion -- References -- A Comparative Study of Classification and Clustering Methods from Text of Books -- 1 Introduction -- 2 Related Works -- 3 Project Gutenberg -- 4 Natural Language Processing -- 4.1 Word Weighting Measures -- 5 Machine Learning Methods -- 5.1 Algorithms for Classification -- 5.2 Algorithm for Clustering -- 5.3 Measures of the Quality -- 6 Proposed Approach -- 7 Experiments -- 7.1 Experimental Design and Data Set -- 7.2 Results of Experiments -- 8 Conclusions -- References -- A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting -- 1 Introduction -- 2 Related Works -- 2.1 Feature Selection Methods -- 2.2 GA-Based Feature Selection -- 3 GA-Based Model-Agnostic Feature Selection -- 3.1 Problem Formulation -- 3.2 Overview -- 3.3 GA-Based Feature Selector -- 3.4 Training Data Generator -- 4 Performance Evaluation -- 4.1 Evaluation Settings -- 4.2 Impact of GA-Based Feature Selector -- 4.3 Impact of Training Data Generator -- 5 Conclusion -- References -- Machine Learning Approach to Predict Metastasis in Lung Cancer Based on Radiomic Features -- 1 Background -- 2 Materials and Methods -- 2.1 Data -- 2.2 Radiomics Features -- 2.3 Classification Workflow -- 3 Feature Selection Challenges -- 3.1 Multiple ROIs from the Same Patient -- 3.2 Response Variable Type -- 3.3 Small Differences Between Classes -- 4 Results -- 5 Discussion and Future Work -- References -- Covariance Controlled Bayesian Rose Trees -- 1 Introduction -- 2 Algorithm.
2.1 Hierarchical Clustering -- 2.2 Bayesian Rose Trees -- 2.3 Constraining BRT Hierarchies -- 2.4 Parameterisation -- 2.5 Depth Level as a Function of the Likelihood -- 2.6 Hierarchy Outside of Defined Clusters -- 3 Method Comparison -- 4 Conclusions -- References -- Potential of Radiomics Features for Predicting Time to Metastasis in NSCLC -- 1 Background -- 2 Materials and Methods -- 2.1 Data -- 2.2 Radiomics Features -- 2.3 Data Pre-processing and Unsupervised Analysis -- 2.4 Modeling of Metastasis Free Survival -- 3 Results -- 4 Discussion and Future Work -- References -- A Survey of Network Features for Machine Learning Algorithms to Detect Network Attacks -- 1 Introduction -- 2 Background Study -- 3 Literature Survey -- 4 Shortcoming of Existing Literature -- 5 Recommendations -- References -- The Quality of Clustering Data Containing Outliers -- 1 Introduction -- 1.1 The Structure of the Paper -- 2 State of Art -- 3 Clustering Data Containing Outliers -- 3.1 Clustering Algorithms: Hierarchical AHC vs Partitional K-Means -- 3.2 Clustering Quality Indices -- 3.3 Outlier Definition -- 3.4 Outlier Detection Algorithms -- 4 Experiments -- 4.1 Data Description -- 4.2 Methodology -- 4.3 Experimental Environment -- 4.4 Results -- 4.5 Discussion -- 5 Summary -- References -- Aggregated Performance Measures for Multi-class Classification -- 1 Introduction -- 2 Method -- 2.1 Classification of a Single Data Point -- 2.2 Aggregation Over Classes and Thresholds -- 2.3 Normalisation -- 2.4 The Case of Specificity -- 2.5 The Compound Measure of Accuracy -- 3 Discussion -- References -- Prediction of Lung Cancer Survival Based on Multiomic Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Used in the Study -- 2.2 Feature Definition and Pre-selection -- 2.3 Variable Importance Study -- 2.4 Classification of Data -- 3 Results. 3.1 Aggregation and Dimensionality Reduction -- 3.2 Predictive Potential of Various -Omics Datasets -- 3.3 Variable Importance Study in a Multiomic Dataset -- 4 Discussion -- References -- Graph Neural Networks-Based Multilabel Classification of Citation Network -- 1 Introduction -- 2 Related Works -- 3 Dataset Description -- 4 Experiments -- 5 Multilabel Classification Approach -- 6 Conclusion and Future Works -- References -- Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases -- 1 Introduction -- 2 Related Work -- 3 The Model of Partial Periodic Pattern -- 4 Proposed Algorithm -- 4.1 3P-ECLAT Algorithm -- 5 Experimental Results -- 5.1 Evaluation of Algorithms by Varying minPS -- 5.2 Evaluation of Algorithms by Varying Per -- 5.3 Scalability Test -- 5.4 A Case Study: Finding Areas Where People Have Been Regularly Exposed to Hazardous Levels of PM2.5 Pollutant -- 6 Conclusions and Future Work -- References -- Avoiding Time Series Prediction Disbelief with Ensemble Classifiers in Multi-class Problem Spaces -- 1 Introduction -- 2 Time Series Analysis Life-Cycle -- 3 Prediction Disbelief in Acceptance Tests of Forecasting Models -- 4 Discussion -- 5 Conclusions -- References -- Speeding Up Recommender Systems Using Association Rules -- 1 Introduction -- 2 Preliminaries -- 2.1 Factorization Machines -- 2.2 Association Rules -- 2.3 Related Works -- 3 FMAR Recommender System -- 3.1 Problem Definition -- 3.2 Factorization Machine Apriori Based Model -- 3.3 Factorization Machine FP-Growth Based Model -- 4 Evaluation for FMAR -- 4.1 Performance Comparison and Analysis -- 5 Conclusions and Future Work -- References -- An Empirical Experiment on Feature Extractions Based for Speech Emotion Recognition -- 1 Introduction -- 2 Literature Review -- 3 Dataset -- 4 Feature Extraction -- 5 Methodology -- 5.1 Input Preparation. 5.2 Classification Models -- 6 Experimental Results -- 7 Conclusion and Discussion -- References -- Parameter Distribution Ensemble Learning for Sudden Concept Drift Detection -- 1 Introduction -- 2 Methods -- 2.1 BO-ERICS Phase -- 2.2 Ensemble Phase -- 3 Experiments and Discussion -- 3.1 Datasets -- 3.2 Evaluation -- 3.3 Results -- 3.4 Discussion -- 4 Conclusions -- References -- MLP-Mixer Approach for Corn Leaf Diseases Classification -- 1 Introduction -- 2 Related Work -- 2.1 Literature Review -- 2.2 MLP-Mixer -- 2.3 Deep Learning -- 3 Methods -- 3.1 Data Requirements, Collection and Preparation -- 3.2 Configure the Hyperparameters -- 3.3 Build a Classification Model -- 3.4 Define an Experiment and Data Augmentation -- 3.5 The MLP-Mixer Model Structure -- 3.6 Build, Train, and Evaluate the MLP-Mixer Model -- 4 Experiment and Result -- 4.1 Image Segmentation -- 4.2 Experiment Results (Train and Evaluate Model) -- 4.3 Discussion -- 5 Conclusion -- References -- A Novel Neural Network Training Method for Autonomous Driving Using Semi-Pseudo-Labels and 3D Data Augmentations -- 1 Introduction -- 2 Related Work -- 3 A Novel Training Method with Semi-Pseudo-Labeling and 3D Augmentations -- 3.1 Semi-Pseudo-Labeling -- 3.2 3D Augmentations -- 3.3 An Example of Training with Semi-Pseudo-Labeling and 3D Augmentations -- 4 Experiments -- 4.1 Argoverse -- 4.2 In-House Highway Dataset -- 5 Conclusion -- References -- Machine Learning Methods for BIM Data -- 1 Introduction -- 2 BIM Data - IFC Files -- 3 Machine Learning Techniques for BIM -- 3.1 Learning Semantic Information - Space Classification -- 3.2 Semantic Enrichment of BIM Models from Point Clouds -- 3.3 Building Condition Diagnosis -- 3.4 BIM Enhancement in the Facility Management Context -- 3.5 Knowledge Extraction from BIM -- 4 Conclusions -- References. Self-Optimizing Neural Network in Classification of Real Valued Experimental Data -- 1 Introduction -- 2 Self Optimizing Neural Network -- 2.1 SONN Formalism -- 2.2 Fundamental Coefficient of Discrimination -- 2.3 Structure of the Network and the Weight Factor -- 2.4 Network Response -- 3 Experiment and Results -- 3.1 Dataset -- 3.2 Data Preparation -- 3.3 Classification -- 4 Conclusion -- References -- Analyzing the Effectiveness of the Gaussian Mixture Model Clustering Algorithm in Software Enhancement Effort Estimation -- 1 Introduction -- 2 Backgrounds -- 2.1 The FPA Overview -- 2.2 The Gaussian Mixture Model Clustering Algorithm -- 2.3 The k-means Clustering Algorithm -- 3 Research Methodology -- 3.1 Dataset Pre-processing -- 3.2 Determine the Number of Clusters -- 3.3 Evaluation Criteria -- 4 Results and Discussions -- 5 Conclusion -- References -- Graph Classification via Graph Structure Learning -- 1 Introduction -- 2 Related Works -- 3 Proposed Method: GC-GSL -- 3.1 Extracting Topological Attribute Vector -- 3.2 Rooted Subgraph Mining -- 3.3 Neural Network Graph Embedding -- 3.4 Computational Complexity -- 4 Experiments -- 4.1 Results -- 4.2 Discussions -- 5 Conclusion -- References -- Relearning Ensemble Selection Based on New Generated Features -- 1 Introduction -- 2 Related Works -- 3 The Proposed Framework -- 3.1 Generation of Diverse Base Classifiers -- 3.2 Relearning Base Classifiers -- 3.3 Feature Generation Based on Learned and Relearned Base Classifiers -- 3.4 Learning Second-Level Base Classifier Based on New Vector of the Features -- 3.5 Selection Base Classifiers Based on Second-Level Classification Result -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Results -- 5 Discussion -- 6 Conclusions -- References -- Random Forest in Whitelist-Based ATM Security -- 1 Introduction -- 2 Related Work -- 3 Test Procedure. 4 Data Pre-processing. |
| Record Nr. | UNISA-996503470803316 |
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Nguyen Ngoc Thanh
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| Cham : , : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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