Advanced network technologies and co...
ICANTCI (Conference) (2024 :)

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  • Advanced network technologies and computational intelligence = first International Conference, ICANTCI 2024, Punjab, India, April 5-6, 2024 : proceedings.. Part I /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Advanced network technologies and computational intelligence/ edited by Jaiteg Singh ... [et al.].
    Reminder of title: first International Conference, ICANTCI 2024, Punjab, India, April 5-6, 2024 : proceedings.
    remainder title: ICANTCI 2024
    other author: Singh, Jaiteg.
    corporate name: ICANTCI (Conference)
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xix, 481 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: - Advanced Network Technologies Advanced Network Technologies. -- Robust Network Intrusion Detection System Using VGG16, Autoencoder,and Random Forest For Enhanced Cybersecurity In IOT. -- Impact of Divergent Vehicle's Speed on Vehicular Ad-Hoc Network Routing Protocols Analysis. -- Revolutionizing GST Collection: A Blockchain-Backed Platform for Security and Efficiency. -- SCADA Aided Architecture for Remote Monitoring in Solar Irrigation Systems. -- A Comprehensive Approach for Heart Patient Monitoring and Prevention Using IOT and Blockchain Technology. -- A Critical Study for Efficient and Reliable Routing Protocols for WBAN-integrated Health Monitoring Systems. -- Blockchain-Enhanced Energy-Efficient Architectures for Sustainable Internet of Things Ecosystems. -- Post-Quantum Secure Hardware and Infrastructure for AR/VR Metaverse Application. -- Systematic Advancements in IoT: Integrating Edge Computing for Enhanced Architectures in Next-Generation Devices. -- Detection of Knee Osteoarthritis From Magnetic Resonance Imaging Using A 3-D Independent Component Analysis Method In Machine Learning. -- Quantum-Resistant Digital Rights Management (DRM) for Protecting Intellectual Property in ARVR Metaverse Content. -- Computational Intelligence. -- Machine Learning-Driven Anomaly Detection in Blockchain Transactions for High-Security Digital Banking. -- Innovative Integration of Machine Learning Predictive Models within Blockchain Frameworks for Supply Chain Fault Tolerance. -- Quality Model for Cloud Service Providers Using ANFIS Method. -- Machine Learning in the Nick of Time for Sophisticated Cybersecurity Threat Detection. -- Cognitive Computation through Machine Learning Models for Real-Time Traffic Management. -- Transfer Learning-based Semantic Segmentation of Hippocampus in Magnetic Resonance Brain Image. -- Blockchain Enhanced Security and Exchange of Electronic Health Records. -- Computational Intelligence Approach for an Intrusion Detection System. -- Performance Evaluation of Existing Deep Learning Models for the Detection of 'Man-In-The-Middle' Attacks on IoT Network. -- Malaria Detection with Multi-Stage Recognition using Neighbor Sample Joint Learning and Deep Learning Techniques. -- Early Classification of Lung Cancer Based On Cell Morphology Features. -- A Logical Language for Reasoning about Democratic Decision-Making. -- Selecting an Academic Cloud Scheme Based on the Investment Model of a Differential Game of Quality. -- Hybrid Time-Frequency Domain Analysis for Cardiovascular Disease Forecasting over ECG Data. -- Esophageal Cancer Diagnosis with a Bilinear Pooling and Attention-Based Convolutional Neural Network. -- Data Science in Healthcare- A Bibliometric Study and Analysis. -- Graph Convolutional Networks for Improved Motor Imagery Recognition. -- A Survey of Quantum Algorithms For Computer Science. -- A Review of Obstacles and Emerging Solutions in Computer Vision. -- Spear or Shield: Mastering the Art of Gen-AI in Face Recognition. -- A Synthesis of Approaches in Sign Language Communication Research: Trends and Future Directions. -- Quantitative Measurements of Renal Obstruction Using Image Extraction Approaches for 99mTc-MAG3 Renal Radiotracer. -- A Review of Location Prediction Approaches in Ubiquitous Computing: Applications, Challenges. -- Develop a genetic algorithm to optimize intracranial electroencephalography (IEEG) using neural network architectures. -- A Comparative Study of Various Human Activity Recognition Techniques Using Deep Learning.
    Contained By: Springer Nature eBook
    Subject: Computational intelligence - Congresses. -
    Online resource: https://doi.org/10.1007/978-3-031-86069-0
    ISBN: 9783031860690
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