Soft Computing for Problem Solving Proceedings of the SocProS 2022 /

Manylion Llyfryddiaeth
Awdur Corfforaethol: SpringerLink (Online service)
Awduron Eraill: Thakur, Manoj (Golygydd), Agnihotri, Samar (Golygydd), Rajpurohit, Bharat Singh (Golygydd), Pant, Millie (Golygydd), Deep, Kusum (Golygydd), Nagar, Atulya K. (Golygydd)
Crynodeb:XXII, 733 p. 237 illus., 197 illus. in color.
text
Iaith:Saesneg
Cyhoeddwyd: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Rhifyn:1st ed. 2023.
Cyfres:Lecture Notes in Networks and Systems, 547
Pynciau:
Mynediad Ar-lein:https://doi.org/10.1007/978-981-19-6525-8
Fformat: Electronig Llyfr
Tabl Cynhwysion:
  • Chapter 1. Benchmarking state-of-the-art methodologies for optic disc segmentation
  • Chapter 2. Automated Student Emotion Analysis During Online Classes using Convolutional Neural Network
  • Chapter 3. Transfer Learning based Malware Classification
  • Chapter 4. A Study on Metric-Based and Initialization-Based Methods for Few-Shot Image Classification
  • Chapter 5. A Fast and Efficient Methods for Eye pre-processing and DR Level Detection
  • Chapter 6. A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal
  • Chapter 7. An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach
  • Chapter 8. Imbalanced Learning of Regular Grammar for DFA Extraction from LSTM Architecture
  • Chapter 9. Medical Prescription Label Reading using Computer Vision and Deep Learning
  • Chapter 10. Autoencoder-based Deep Neural Architecture for Epileptic Seizures Classification
  • Chapter 11. Stock Market Prediction using Deep Learning Techniques for Short and Long Horizon
  • Chapter 12. Improved CNN Model for Breast Cancer Classification
  • Chapter 13. Performance Assessment of Normalization in CNN with Retinal Image Segmentation
  • Chapter 14. A novel multi-day ahead index price forecast using multi-output based deep learning system
  • Chapter 15. Automatic Retinal Vessel Segmentation using BTLBO. etc.