Buch, Englisch, 591 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 908 g
Proceedings of ICICC 2026, Volume 5
Buch, Englisch, 591 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 908 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-30004-1
Verlag: Springer Nature Switzerland AG
This book includes high-quality research papers presented at the Ninth International Conference on Innovative Computing and Communication (ICICC 2026), which is held at the Shaheed Sukhdev College of Business Studies, University of Delhi, Delhi, India, on 6–7 February 2026. Introducing the innovative works of scientists, professors, research scholars, students, and industrial experts in the field of computing and communication, the book promotes the transformation of fundamental research into institutional and industrialized research and the conversion of applied exploration into real-time applications.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
Weitere Infos & Material
Converging Generative AI, Multimodal Learning, and Large Language Models: A Pathway Towards Universal Intelligence and Knowledge Creation.- Learning Channel-Wise Mix-Gated Attention Fusion in YOLOv11s for Crowd-Aware Person Detection.- Development of an application for Soil Quality and Crop Prediction using Machine Learning.- A NOVEL APPROACH FOR EMPLOYEE ATTRITION PREDICTION USING QUANTILE ISOLATED TRANSFORMATION WITH FEATURE SELECTION METHOD.- Real-Time Cloud Threat Detection and Visualisation System using NLP and MITRE ATT&CK.- AI Models in Prenatal and Postnatal Health Care: A Comprehensive Study .- Blockchain-Enabled Secure Identity Management with ML-Driven Threat Analytics.- Power Quality Analysis of the Electrical System of a Meat Processing Company.- Confidence-Edit Lightweight CNN: Self-Editing Mechanism for Robust Learning Under Noisy Labels.- Machine Learning Approaches for Financial Fraud Detection: An Empirical Evaluation on an Imbalanced Transaction Dataset.- Flower Pollination Algorithm for Optimum Frequency Domain Design of Tuned Mass Dampers for Structures with Different Damping.- Generative Adversarial Network Enhanced Imaging for Accurate and Early Detection of Bovine Tuberculosis.- Sensitivity Analysis in the Parametric Estimation of the ZIP Load Model: An Approach Based on the Percentage Distribution of its Coefficients.- A Novel Deep Learning Framework for Automated Identification and Classification of Indian Bird Species Using Convolutional Neural Networks.- A Machine Learning–Based Approach for Eye State Classification Using Multichannel EEG Signals.- etc.
