
Teil der Reihe: Springer Nature Proceedings excluding Computer Science
Data Science and Applications
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
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