Data Analytics and Learning

Proceedings of DAL 2024
Angebot€266,43
inkl. MwSt. • Kein physischer Versand
Sofort per Download lieferbar
Nach dem Kauf direkt als Download verfügbar.

E-Book
eBook-Format:PDF

Benachrichtigung aktivieren

Wir informieren Sie per E-Mail, sobald dieses Produkt wieder verfügbar ist.

Inhaltsangabe

Impact the accuracy of AQI predications using Human-AI teaming.- Predicting Stroke Risk: A Machine Learning Approach.- Vehicle Recognition System for Intelligent Traffic System using Feed-Forward Neural Network Techniques.- Optimized Pothole Detection with a Fine-Tuned YOLOv8 Model and Depth Estimation on Indian Roadways using monocular vision method.- Detection of  DDOS Attacks in IoT Based Smart Home Networks using ML Algorithms.- Improved Brain Tumor Detection Using an Enhanced VGG-19 Model with Modified Stochastic Gradient Descent Optimizer.- Radial Pulse Pattern Recognition Using Deep Learning.- Full Paper: Improved LinkNet model with Statistical and Deep Feature Extractors for Breast Cancer Detection with Mammogram Image.- Algorithmic Simplicity: A Step Towards Intelligent Analysis.- Leveraging Big Data Analytics in Biomedical Informatics for Early Disease Detection and Personalized Treatment Plans to Improve Health Outcomes and Reduce Healthcare Costs.- AI-based neurological disease detection for early diagnosis.- Innovation In Indian Sign Language For Deaf And Dumb Individual Using Deep Learning.- Segmentation of Dermatoscopic images using wavelet Transform.- LBP features in cattle age estimation: Optimized Feature Engineering Pipeline.- Shape-aware thoracic edge map chest x-ray representation for pulmonary abnormality screening.- Retrieval of Kannada vachanas based on philosophical meaning using machine learning.- Advancing Text-to-Video Models: A study of Schedulers and Learning Techniques in Video Synthesis.- Enhancing Signature Detection from Scanned Documents Using Hybrid Detection Model and Post Processing.- Enhancing Indian Traffic Sign Detection Efficiency with Iterative Training Techniques and Augmentation.- Analysis of Explainable AI Techniques in a Computer Vision-based Maritime Surveillance System.- Adaptive Localization Strategies for Underwater WSNs: The PSO-AUV Hybrid Model.- A Hybrid Transformer Model for Robust  Multimodal Emotion Recognition Using Audio  and Text Data.- MIVT: Medical-Informed Vision Transformer for Early Epilepsy Diagnosis.

Produktdetails
  • Erscheinungsdatum: 19.11.2025
  • Autor/Autorin: D. S. Guru
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 35.5 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 348 Seiten
  • ISBN: 9789819695331
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
Herstellerinformationen
Springer Nature Customer Service Center GmbH

Email: ProductSafety@springernature.com