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Knowledge Science, Engineering and Management: 17th International Conference, KSEM 2024, Birmingham, UK, August 1618, 2024, Proceedings, Part II [Paperback]

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  • Category: Books (Computers)
  • ISBN-10:  9819754941
  • ISBN-10:  9819754941
  • ISBN-13:  9789819754946
  • ISBN-13:  9789819754946
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • SKU:  9819754941-11-SPRI
  • SKU:  9819754941-11-SPRI
  • Pages:  464
  • Pages:  464
  • Item ID: 106798382
  • List Price: $79.99
  • Seller: ShopSpell
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  • Delivery by: Oct 06 to Oct 08
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

The five-volume set LNCS 14884, 14885, 14886, 14887 & 14888 constitutes the refereed deadline proceedings of the 17th International Conference on Knowledge Science, Engineering and Management, KSEM 2024, held in Birmingham, UK, during August 1618, 2024.

The 160 full papers presented in these proceedings were carefully reviewed and selected from 495 submissions. The papers are organized in the following topical sections:

Volume I: Knowledge Science with Learning and AI (KSLA)

Volume II: Knowledge Engineering Research and Applications (KERA)

Volume III: Knowledge Management with Optimization and Security (KMOS)

Volume IV: Emerging Technology

Volume V: Special Tracks

.- 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 SelÉ

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