Muutke küpsiste eelistusi

E-raamat: Intelligent Information Processing XII: 13th IFIP TC 12 International Conference, IIP 2024, Shenzhen, China, May 3-6, 2024, Proceedings, Part I

Edited by , Edited by , Edited by
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 111,14 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

The two-volume set IFIP AICT 703 and 704 constitutes the refereed conference proceedings of the 13th IFIP TC 12 International Conference on Intelligent Information Processing XII, IIP 2024, held in Shenzhen, China, during May 36, 2024. 





 





The 49 full papers and 5 short papers presented in these proceedings were carefully reviewed and selected from 58 submissions. 





The papers are organized in the following topical sections: 





 





Volume I: Machine Learning; Natural Language Processing; Neural and Evolutionary Computing; Recommendation and Social Computing; Business Intelligence and Risk Control; and Pattern Recognition.





 





Volume II: Image Understanding.
.- Machine Learning.



.- Dual Contrastive Learning for Anomaly Detection in Attributed Networks.



.- Online Learning in Varying Feature Spaces with Informative Variation.



.- Towards A Flexible Accuracy-Oriented Deep Learning Module Inference
Latency Prediction Framework for Adaptive Optimization Algorithms.



.- Table Orientation Classification Model Based on BERT and TCSMN.



.- Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network
Structure Learning.



.- Entropy-Based Logic Explanations of Differentiable Decision Tree.



.- Deep Friendly Embedding Space for Clustering.



.- Design and Implementation of Risk Control Model Based on Deep Ensemble
Learning Algorithm.



.- More Teachers Make Greater Students: Compression of CycleGAN.



.- Hybrid integrated dimensionality reduction method based on conformal
homeomorphism mapping.



.- Natural Language Processing.



.- Are Mixture-of-Modality-Experts Transformers Robust to Missing
ModalityDuring Training And Inferring?.



.- Question Answering Systems Based on Pre-trained Language Models: Recent
Progress.



.- A BERT-Based Model for Legal Document Proofreading.



.- Entity Relation Joint Extraction with Data Augmentation Based on Large
Language Model.



.- Neural and Evolutionary Computing.



.- Empirical Evaluation of Evolutionary Algorithms with Power-Law Ranking
Selection.



.- An Indicator Based Evolutionary Algorithm for Multiparty Multiobjective
Knapsack Problems.



.- Ensemble Strategy Based Hyper-Heuristic Evolutionary Algorithm for
Many-objective Optimization.



.- Rolling Horizon Co-evolution for Snake AI Competition.



.- Training Artificial Immune Networks as Standalone Generative Models for
Realistic Data Synthesis.



.- Structure Optimization for Wide-Channel Plate Heat Exchanger Based on
Interval Constraints.



.- Genetic algorithm driven by translational mutation operator for the
scheduling optimization in the steelmaking-continuous casting production.



.- Adaptive Genetic Algorithm with Optimized.



.- A Data-driven Framework for Whole-brain Network Modeling with Simultaneous
EEG-SEEG Data.



.- Recommendation and Social Computing.



.- Secure and Negotiate Scheme for Vehicle-to-Vehicle Communications in an
IoV.



.- Flexible K-anonymity Scheme Suitable for Different Scenarios in Social
Networks.



.- A Recommendation Algorithm Based on Automatic Meta-Path Generation and
Relationship Aggregation.



.- Cooperative Coevolution for Cross-City Itinerary Planning.



.- Business Intelligence and Risk Control.



.- A Stock Price Trend Prediction Method Based on Market Sentiment Factors
and Multi-Layer Stacking Ensemble Learning with DualCNN-LSTM Models and
Nested 



.- Heterogeneous Learners.



.- Credit Default of P2P Online Loans Based on Logistic.



.- FedPV-FS: A Feature Selection Method for Federated Learning in Insurance
Precision Marketing.



.- FRBBM-Scheme: A Flexible Ratio Virtual Primary Key Generation Approach
Based on Binary Matching.



.- From Concept to Prototype: Developing and Testing GAAINet for Industrial
IoT Intrusion Detection.



.- Efficient and Secure Authentication Scheme for Internet of Vehicles.



.- Pattern Recognition.



.- Research on Wavelet Packet Sample Entropy Features of sEMG Signal in Lower
Limb Movement Recognition.