Verkauf durch Sack Fachmedien

Ray / Shukla / Kaiser

Emerging Technologies in Automation, Computation and Electronics

Proceedings of EACE 2025

Medium: Buch
ISBN: 978-3-032-27342-0
Verlag: Springer Nature Switzerland AG
Erscheinungstermin: 01.08.2026
vorbestellbar, Erscheinungstermin ca. August 2026

This book is a collection of research papers presented at International Conference on Emerging Technologies in Automation, Computation, and Electronics (EACE 2025) organized by Pranveer Singh Institute of Technology, Kanpur, India during November 2025. It covers recent cutting-edge research in the fields of computation, electronics and VLSI innovation.


Produkteigenschaften


  • Artikelnummer: 9783032273420
  • Medium: Buch
  • ISBN: 978-3-032-27342-0
  • Verlag: Springer Nature Switzerland AG
  • Erscheinungstermin: 01.08.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Lecture Notes in Electrical Engineering
  • Produktform: Kartoniert
  • Seiten: 595
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

Evaluating the Impact of CLAHE Preprocessing on Multi-Label Chest X-ray Disease Detection and Segmentation.- A Blockchain-Assisted Communication Model for Enhancing Reliability in VANETs.- Formal Method Approach for Verification of Blockchain Smart Contract for E-Governance using Event B.- Graph Based Deep Learning for Structural Analysis in Biomedical Image Segmentation.- Compact Circular Polarized antenna for Long-Range Wireless Applications.- Fire Detection using YOLO v8n-Tweaked.- CBAM-Augmented MobileNetV2 for Robust Multi-Class Fruit Quality Classification.- A Hybrid Framework for Functional Brain Mapping Using EEG-fMRI Fusion and Neural Network-Based Feature Analysis.- Authentication Mechanisms Optimizing Cloud Service Reliability for Security Assurance.- Federated Image-Driven Data Mining with Privacy-Preserving Architectures for Secure Yield Production Forecasting.- The Evolution of Spatial Data Infrastructures with Policy, Integration, and Metadata Management for Effective Geospatial Data Handling      
Self-Supervised Learning for Scalable and Efficient Visual Search.- Secure Outsourcing of Medical Data via Blockchain and Deduplication.- Physics-Aware Deep Learning for QoT Safety in Elastic Optical Networks: Conformal Prediction with Explainable Integrable Gradient.