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Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part IV / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part IV / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Autore Cao Cungeng
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (465 pages)
Disciplina 006.3
Altri autori (Persone) ChenHuajun
ZhaoLiang
ArshadJunaid
AsyhariTaufiq
WangYonghao
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 981-9755-01-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Emerging Technology. -- Integrated geologic terms and dual model for Chinese geological word segmentation. -- Random Virtual Embeddings Bootstrap High-degree Item Diffusion for Recommendation. -- Contrastive Learning for Money Laundering Detection: Node- Subgraph-Node Method with Context Aggregation and Enhancement Strategy. -- GCCR: GAT-Based Category-aware Course Recommendation. -- Exploring Word Composition Knowledge In Language Usages. -- L2R-Nav: A Large Language Model-Enhanced Framework for Robotic Navigation. -- Adversarial attacks on Large Language Models. -- Enhancing Question Embedding with Relation Chain for Multi-hop KGQA. -- IIU: Independent Inference Units for Knowledge-based Visual Question Answering. -- Research on Blockchain-Based Trustworthy Data Sharing and Privacy Data Protection Mechanism. -- A Hierarchical Neural Task Scheduling Algorithm in The Operating System of Neuromorphic Computers. -- Efficient Data Asset Right Provenance for Data Asset Trading Based on Blockchain. -- CGCL: A Novel Collaborative Graph Contrastive Learning Network for Chinese NER. -- Scalable attack on graph data by important nodes. -- WaveSegNet: Wavelet Transform and Multi-Scale Focusing Network for Scrap Steel Segmentation. -- Recommendation Algorithm Based on Refined Knowledge Graphs and Contrastive Learning. -- Enhancing Pet Health Record Security through RSA-Encrypted NFTs and Smart Contracts on the Blockchain. -- A Blockchain-Based Secure ADS-B System. -- An Emotion-Aware Human-Computer Negotiation Model Powered by Pretrained Language Model. -- Feature Re-enhanced Meta-Contrastive Learning for Recommendation. -- ANGCN:Adaptive Neighborhood-awareness for Recommendation. -- The study of named entity identification in Chinese electronic medical records based on multi-tasking. -- A Comparative Study of Different Pre-trained Language Models for Sentiment Analysis of Human-Computer Negotiation Dialogue. -- Integrating Blockchain and RSA-Encrypted NFTs for Enhanced Digital Knowledge Management. -- An Effective RSP Data Sampling Algorithm. -- Rationality of Thought Improves Reasoning in Large Language Models. -- NFTMosaic: Piecing Together Assets in a Unified Blockchain Token. -- Global Context Enhanced Multi-Granularity Intent Networks for Session-based Recommendation. -- Enhancing Electoral Integrity: A Comprehensive Study of Blockchain-Enabled Voting on EVM Platforms. -- AutoLabel: Automated Textual Data Annotation Method based on Active Learning and Large Language Model. -- KDTSS: A Blockchain-based Scheme for Knowledge Data Traceability and Secure Sharing. -- A Joint Client-Server Watermarking Framework for Federated Learning. -- Robust Representation Learning for Image Clustering.
Record Nr. UNINA-9910878060703321
Cao Cungeng  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part III / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part III / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Autore Cao Cungeng
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (438 pages)
Disciplina 006.3
Altri autori (Persone) ChenHuajun
ZhaoLiang
ArshadJunaid
AsyhariTaufiq
WangYonghao
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 981-9754-98-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Knowledge Management with Optimization and Security (KMOS). -- Knowledge Enhanced Zero-Shot Visual Relationship Detection. -- WGGAL: A Practical Time Series Forecasting Framework for Dynamic Cloud Environments. -- Dynamic Splitting of Diffusion Models for Multivariate Time Series Anomaly Detection in A JointCloud Environment. -- VulCausal: Robust Vulnerability Detection Using Neural Network Models from a Causal Perspective. -- LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education. -- DA-NAS: Learning Transferable Architecture for Unsupervised Domain Adaptation. -- Optimize rule mining based on constraint learning in knowledge graph. -- GC-DAWMAR: A Global-Local Framework for Long-Term Time Series Forecasting. -- An improved YOLOv7 based prohibited item detection model in X-ray images. -- Invisible Backdoor Attacks on Key Regions Based on Target Neurons in Self-Supervised Learning. -- Meta learning based Rumor Detection by Awareness of Social Bot. -- Financial FAQ Question-Answering System Based on Question Semantic Similarity. -- An illegal website family discovery method based on association graph clustering. -- Different Attack and Defense Types for AI Cybersecurity. .-An Improved Ultra-Scalable Spectral Clustering Assessment with Isolation Kernel. -- A Belief Evolution Model with Non-Axiomatic Logic. -- Lurking in the Shadows: Imperceptible Shadow Black-Box Attacks against Lane Detection Models. -- Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks. -- KEEN: Knowledge Graph-enabled Governance System for Biological Assets. -- Cop: Continously Pairing of Heterogeneous Wearable Devices based on Heartbeat. -- DFDS: Data-Free Dual Substitutes Hard-Label Black-Box Adversarial Attack. -- Logits Poisoning Attack in Federated Distillation. -- DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information. -- Prompt Based CVAE Data Augmentation for Few-shot Intention Detection. -- Reentrancy Vulnerability Detection Based On Improved Attention Mechanism. -- Knowledge-Driven Backdoor Removal in Deep Neural Networks via Reinforcement Learning. -- AI in Healthcare Data Privacy-preserving: Enhanced Trade-off between Security and Utility. -- Traj-MergeGAN: A Trajectory Privacy Preservation Model Based on Generative Adversarial Network. -- Adversarial examples for Preventing Diffusion Models from Malicious Image Edition. -- ReVFed: Representation-based Privacy-preserving Vertical Federated Learning with Heterogeneous Models. -- Logit Adjustment with Normalization and Augmentation in Few-shot Named Entity Recognition. -- New Indicators and Optimizations for Zero-Shot NAS Based on Feature Maps.
Record Nr. UNINA-9910878063003321
Cao Cungeng  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part II / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part II / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Autore Cao Cungeng
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (477 pages)
Disciplina 658.403
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 981-9754-95-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Knowledge Engineering Research and Applications (KERA). -- Research on Node Cluster Analysis in Brain Connection Data. -- A New Emotion Classification Method Based on JAN-VMD. -- Neuro-Genetic System: A Hybrid System of CNN-BiLSTM Optimized by Genetic Algorithm for Road Accident Severity Prediction. -- MoveFormer: Spatial Graph Periodic Injection Network for Next POI Recommendation. -- Bio-Inspired Feature Selection via An Improved Binary Golden Jackal Optimization Algorithm. -- Dynamic Reliability-optimised and Energy-efficient Scheduling Algorithms in Heterogeneous Multi-core Systems. -- A Human-Computer Negotiation Model Based on Sentiment Analysis and Big Data. -- A novel online sequential learning algorithm for ELM based on optimal control. -- DICES: Diffusion-Based Contrastive Learning with Knowledge Graphs for Recommendation. -- Variational Loss of Random Sampling for Searching Cluster Number. -- DVDNER: Dual-view Learning Named Entity Recognition via Diffusion. -- Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective. -- SSNF: Optimizing Entity Alignment with a Novel Structural and Semantic Neighbor Filtering. -- Visual Analytics of Learning Behavior Based on the Dendritic Neuron Model. -- Feature Matching Based Heterogeneous Transfer Learn-ing for Student Performance Prediction. -- Weighted Multiple Source-Free Domain Adaptation Ensemble Network in Intelligent Machinery Fault Diagnosis. -- Logarithm of Maximum Posterior Evidence: Advanced Model Selection for Text Classification. -- A Hybrid Method Combing Reinforcement Learning and Heuristics in Solving Two-Echelon Vehicle Routing Problem with Backhauls. -- AgriBERT: A Joint Entity Relation Extraction Model Based on Agricultural Text. -- Research on Key Node Cluster Identification Algorithm based on Louvain and Cycle Ratio. -- Uncertain $k$ center Clustering, Revisited: Point Assignment. -- DPSPC: A Density Peak-based Statistical Parallel Clustering Algorithm for Big Data. -- Insert Commonsense Knowledge through Semantics for Dialogue Generation. -- Entity Set Expansion based on Category Prompts in MOOCs. -- ViT Hybrid Channel Fit Pruning Algorithm for Co-Optimization of Hardware and Software for Edge Device. -- Collaborative Adversarial Learning for Unsupervised Federated Domain Adaptation. -- Improving Image Captioning with Image Concepts of Words. -- M HGN: Multi information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension. -- A Student Performance Prediction Model Based on Feature Factor Transfer. -- A Binary Multi-objective Grey Wolf Optimization for Feature Selection. -- CS Net: A Coarse-to-fine-grained Summarization Network for Community-based Question Answering Summarization. -- AutoIE: An Automated Framework for Information Extraction from Scientific Literature. -- Adaptive Density Peak Clustering with Optimized Border-peeling. -- Efficient Affinity Propagation Clustering Based on Szemer´edi’s Regularity Lemma.
Record Nr. UNINA-9910878055103321
Cao Cungeng  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Knowledge Science, Engineering and Management : 17th International Conference, KSEM 2024, Birmingham, UK, August 16–18, 2024, Proceedings, Part V / / edited by Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, Taufiq Asyhari, Yonghao Wang
Autore Cao Cungeng
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (341 pages)
Disciplina 006.3
Altri autori (Persone) ChenHuajun
ZhaoLiang
ArshadJunaid
AsyhariTaufiq
WangYonghao
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Computers
Information technology - Management
Social sciences - Data processing
Application software
Artificial Intelligence
Computer Engineering and Networks
Computing Milieux
Computer Application in Administrative Data Processing
Computer Application in Social and Behavioral Sciences
Computer and Information Systems Applications
ISBN 981-9754-89-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- Special Track. -- Adversary and Attention Guided Knowledge Graph Reasoning based on Reinforcement Learning. -- Evaluating GPT’s Programming Capability through CodeWars’ Katas. -- An Online Portfolio Selection Algorithm with Dynamic Coreset Construction. -- Interval-valued Fuzzy Portfolio decision Model with Transaction Cost and Liquidity Constraint. -- Active Learning for Low-Resource Project-Specific Code Summarization. -- A Survey of Game-Theoretic Methods for Controlling COVID-19. -- ComPAT: a Compiler Principles course AssisTant. -- Tram Air Conditioning Fault Prediction Using Machine learning. -- Lexicon Graph Adapter based BERT Model For Chinese Named Entity Recognition. -- Insider Threat Defense Strategies: Survey and Knowledge Integration. -- GA-MEPS: Multiple Experts Portfolio Selection Based on Genetic Algorithm. -- Deep Learning and Machine Learning-Based Approaches to Inferring Social Media Network Users’ Interests from a Missing Data Issus. -- Customer Segmentation for Telecommunication using Machine Learning. -- DP-MFRNN: Difficulty Prediction for Examination Questions Based on Neural Network Framework. -- Causal Relationship Extraction Combined Boundary Detection and Information Interaction. -- Profit Maximization in Edge-enabled Multimedia Data Market: A Game-based Pricing Approach. -- Reinforcement learning for scientific application: A survey. -- Zunna: A New Browser Extension for Protecting Personal Data. -- HRTC:A Triple Joint Extraction Model Based on Cyber Threat Intelligence. -- Personalized Image Aesthetics Assessment based onTheme and Personality. -- A Spatio-temporal Neural Network for Medical Insurance Fraud Detection. -- Exploring Language Diversity to Improve Neural Text Generation. -- Diffusion Review-based Recommendation. -- IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model. -- A novel network intrusion detection method for unbalanced data in open scenarios. -- Explainable Knowledge-Based Learning For Online Medical Question Answering. -- Energy consumption prediction method for refrigeration systems based on adversarial networks and Transformer networks. -- P-Vit: A simplified Vision Transformer model based on FFN and Simple Attention.
Record Nr. UNINA-9910878046903321
Cao Cungeng  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui