Data Science and Applications

Proceedings of ICDSA 2025, Volume 2
Angebot€266,43
inkl. MwSt. • Kein physischer Versand
Sofort per Download lieferbar
Nach dem Kauf direkt als Download verfügbar.

Benachrichtigung aktivieren

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

Inhaltsangabe

Leveraging NLP features for Multi-Class Protein Sequence Classification using Machine Learning and Deep Learning Models.- Improving Secure Multi-Party Computation and Blockchain-Enhanced Data Sharing for Financial Services in Mobile Cloud Environments.- AI Enabled IoT-Based Crop Protection System With AI-Driven Animal Detection and Water Management.- Adaptive Honeypot Framework for Organizational Threat Detection with AWS Integration.- An Efficient Location Determination for Mobile Sensor Nodes using Hybrid DA-FA Optimization Technique.- Image Restoration via Atmospheric Scattering Models and Deep Learning Techniques.- Enhancing Legal Text Classification in the Indian Judiciary using Transformer Models and Legal-BERT.- Enhanced Detection of Diabetic Retinopathy Severity using the NASNetLarge Model.- Hybrid Generative AI Framework for Multilingual Text Summarization in Indian Languages.- Hybrid Quantum and Deep Learning Classifiers for Voice Disorder Identification.- Low-Complexity Asymmetric Image Encryption via Gyrator–Fresnel Transforms and Digital Holography.- FedCarbonNet - An AI-Blockchain-IoT Framework for Carbon Footprint Management and Optimization.- Federated Learning Approach for Addressing Ethical Issues in AI.- H-ADNET: Aerial Image Based Scene Identification with Hyper Parameter Optimization in Deep Convolutional Networks.- Foundational Framework for Integrated Detection of Cardiovascular and Lung Diseases Using Multimodal Deep Learning.

Produktdetails
  • Erscheinungsdatum: 01.01.2026
  • Autor/Autorin: Satyasai Jagannath Nanda
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 53.8 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 462 Seiten
  • ISBN: 9783032107565
  • 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