Muutke küpsiste eelistusi

Computational Science and Computational Intelligence: 11th International Conference, CSCI 2024, Las Vegas, NV, USA, December 1113, 2024, Proceedings, Part I [Pehme köide]

  • Formaat: Paperback / softback, 366 pages, kõrgus x laius: 235x155 mm, 121 Illustrations, color; 13 Illustrations, black and white; XVII, 366 p. 134 illus., 121 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2501
  • Ilmumisaeg: 20-May-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031903404
  • ISBN-13: 9783031903403
Teised raamatud teemal:
  • Pehme köide
  • Hind: 187,67 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 220,79 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Paperback / softback, 366 pages, kõrgus x laius: 235x155 mm, 121 Illustrations, color; 13 Illustrations, black and white; XVII, 366 p. 134 illus., 121 illus. in color., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2501
  • Ilmumisaeg: 20-May-2025
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3031903404
  • ISBN-13: 9783031903403
Teised raamatud teemal:
The CCIS book constitutes selected papers accepted in the Research Track on Artificial Intelligence of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 1113, 2024.



The 27 full papers included in this book were carefully reviewed and selected from a total of 383 submissions. They were organized in topical sections on large language models and methodologies; deep learning and applications; artificial intelligence and prediction methods; and artificial intelligence, machine learning, applications and alrogithms. 
SECTION: LARGE LANGUAGE MODELS & METHODOLOGIES.- Large Language Models
for Text Classification: A New Era of Accuracy and Efficiency.- Exploring New
Methods of Data Augmentation for Intent Classification through Large Language
Models.- Towards Evaluating Large Language Models for Graph Query
Generation.- Logical Fallacy Detection in Text: Leveraging Large Language
Models for Improving Human Discourse.- Hallucinations and Training-data Bias:
Results from two number transcription experiments using GPT models.- SECTION:
DEEP LEARNING & APPLICATIONS.- On the Effectiveness of UAV Audio Detection
and Identification Using Deep Learning Models and Mel Spectrograms.-DRNMS: An
Enhanced Deep Learning-Based System for Data Recovery and Anomaly Detection
in Network Monitoring.- Voice Disorder Prediction with Convolutional Neural
Network (CNN).- Unveiling the Unexpected: Transformer Outperforms Specialized
Architectures in Volatile Supply Chain Forecasting.- SECTION: ARTIFICIAL
INTELLIGENCE & PREDICTION METHODS.- Optimizing Predictive Performance: A
Comparative Study of Machine Learning Algorithms for Classification
Tasks.-Machine Learning-Based Prediction of Rabies Outbreaks Using
Epidemiological and Environmental Data in Africa.- Assisting Personal Support
Worker's e-Training with AI Prediction.- Predicting Late Delivery Risk in a
Blockchain-based Supply Chain Management Architecture.-  SECTION: ARTIFICIAL
INTELLIGENCE, MACHINE LEARNING, APPLICATIONS & ALGORITHMS.- Robots Playing
Fair? - How Embodiment Shapes Trust and Perceptions of Cheating in
AI.-Sentence-level Adversarial Examples in Arabic.- Analyzing Insurance Cost
Estimation: A Supervised Regression Approach.- Collaborative Design between
Intelligent Agents through Resource Sharing.- Early Detection of Mode
Collapse in GANs Through Loss Monitoring.- DBRH-5: Legendre Polynomial-based
Attention Mechanism in Dual-branch Hybrid-5 Towards Arrhythmia Diagnosis.-
Sequential Disaggregation of Residential Energy Consumption Using Random
Forest Regression.- A Declarative Approach to Tackle Sawmill Production
Scheduling with Answer Set Programming.- Preferential Ensemble Method with
Exponentially Weighted Scores and its Application to Facial Expression
Classification.- Improving SOCIALDISTILBERT with Augmented Embeddings.- Next
Generation Imminent Fracture Risk Assessment Using AI.- Multi-grain Parallel
Processing of Intuctive Logic Programming.