Proceedings of International Conference on Computational Intelligence

ICCI 2025, Volume 2
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Inhaltsangabe

Multi-Sensor Fusion for Vehicle Cut-In Detection with Time-to-Collision Estimation on an Indian Driving Dataset.- Temporal Behavior Fingerprinting for Anomaly Detection in IoT Networks Using Sequence-Based Learning.- Scalable Enterprise AI Systems: An Integrated Framework for Retrieval-Augmented Generation with Advanced Data Engineering.- Bias and Representation Analysis in Indian Code-Mixed NLP Datasets: A Multi-Dataset Study.- BioReFineNet: A Hybrid Dense U-Net++ Architecture for High-Precision Blood Cell Segmentation from Microscopic slides.- Scalpels and Circuits: A Comparative Study of Robotic-Assisted Surgery in India.- Hybrid SMC-P&O MPPT Control for PV Systems Using Cascaded Boost SEPIC Converter under Dynamic Conditions.- Controlling Hallucinations in RAG: A Comparative Study of Structured System Prompts for Factual Grounding.- A Review on Machine Learning Approaches for Early Detection of Lumpy Skin Disease in Cattle.- A Comprehensive Literature Review on Image Steganography based on CNN and GAN Architectures.- Supervised Feature Selection Meets Classification: A Framework for Heart Disease Prediction.- Optimal Behavioral User Alignment for Cross-Domain Recommendation in Disjoint Domains.- Finite Element Analysis Of  Pressure And Temperature Distribution On The Human Knee Bone.- Comparative Analysis of Features Through Permutation-Based Feature Importance Across Machine Learning Models for Chronic Kidney Disease Prediction.- Vision-based PCB defect detection using YOLOv5 and MobileNetV2 with Grad-CAM.-etc.

Produktdetails
  • Erscheinungsdatum: 08.08.2026
  • Autor/Autorin: Mukesh Saraswat
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 54.3 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • ISBN: 9783032315236
  • Lieferung: Download ab 08.08.2026
  • Hinweis: Vorbestellung. Verfügbar per Download ab Erscheinungstag. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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