Muutke küpsiste eelistusi

Bio-Inspired Computing: Theories and Applications: 19th International Conference, BIC-TA 2024, Suzhou, China, December 2022, 2024, Revised Selected Papers, Part I [Pehme köide]

Edited by , Edited by , Edited by
  • Formaat: Paperback / softback, 281 pages, kõrgus x laius: 235x155 mm, 92 Illustrations, black and white; XIV, 281 p. 92 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2530
  • Ilmumisaeg: 19-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819695813
  • ISBN-13: 9789819695812
Teised raamatud teemal:
  • Pehme köide
  • Hind: 81,12 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 95,44 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
Bio-Inspired Computing: Theories and Applications: 19th International Conference, BIC-TA 2024, Suzhou, China, December 2022, 2024, Revised Selected Papers, Part ISuurem pilt
  • Formaat: Paperback / softback, 281 pages, kõrgus x laius: 235x155 mm, 92 Illustrations, black and white; XIV, 281 p. 92 illus., 1 Paperback / softback
  • Sari: Communications in Computer and Information Science 2530
  • Ilmumisaeg: 19-Aug-2025
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 9819695813
  • ISBN-13: 9789819695812
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819695812.html
The two-volume set CCIS 2530 and 2531 constitutes the refereed post-conference proceedings of the 19th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2024, held in Suzhou, China, during December 2022, 2024.



The  41 full papers presented in these proceedings were carefully reviewed and selected from 139 submissions. The papers are organized in the following topical sections: Neural Computing, Evolutionary Computation, Bio-inspired Computing, and Applications.
.- Neural Computing :


.- Online Detection Method for Burst Bead Bubble Defects Based on ResNet.
.- Incremental Learning for Rolling Bearing Fault Diagnosis Using an Adaptive
Network Channel
Module.
.- Segmentation of Hepatic Vessels with Deep Neural Network.
.- Temperature Prediction of Lithium Battery Packs Based on an Improved
Convolutional Long
Short-Term Memory Network.
.- Self-adaptive Collaborative Ensemble Learning for Medical Image
Classification.
.- Adaptive Attention Mechanism Based on Dynamic Event Priority for Highway
Surveillance.
.- Protein-Protein Contact Prediction using Structure-Informed Sequences and
Protein Language
Models.
.- A Memristive Circuit Based on Q-learning and Operant Conditioning.


.-Evolutionary Computation:


.- A Hybrid Feature Construction and Feature Selection Approach Using Genetic
Programming and
Whale Optimization Algorithm.
.- Dual-Population Co-Sampling Algorithm for Large-Scale Multi-Objective
Optimization.
.- DNA Image Encryption Based on Chaotic Multi-Objective Particle Swarm
Optimization.
.- A Knee Solution-Based Membrane-Inspired Evolutionary Algorithm for
Multi-objective Multi-task
Optimization.
.- in-Archive Interval Many-Objective Optimization Algorithm for
Multi-Wireless-Charging Vehicle Scheduling Problem.
.- Research on Multi-center Vehicle Scheduling Problem based on Improved
Hybrid Algorithm.
.- Enhanced Comprehensive Learning Particle Swarm Optimization with Local
Search.
.- An Evolutionary Method Combining with Isolation Forest for Anomaly
Detection on High Dimensional Data.
.- Multi-strategy Improved Sparrow Search Algorithm and Its Application.
.- Traditional Chinese Medicine Prescription by Evolutionary Optimization.
.- Evolutionary Multi-objective Design of Growth-Coupled Microbial Cell
Factories.
.- Vehicle Scheduling Optimization with Capacity Constraints Based on
Improved Particle Swarm
Algorithm.