Buch, Englisch, Band 2093, 382 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 610 g
Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part IV
Buch, Englisch, Band 2093, 382 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 610 g
Reihe: Communications in Computer and Information Science
ISBN: 978-3-031-64066-7
Verlag: Springer Nature Switzerland
The 4-volume proceedings set CCIS 2090, 2091,2092 and 2093 constitute the refereed post-conference proceedings of the Third International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2023, held in Varanasi, India, during December 20-22, 2023.
The 87 full papers and 11 short papers included in this book were carefully reviewed and selected from 487 submissions. The conference papers are organized in topical sections on:
Part I - Advanced Network Technologies.
Part II - Advanced Network Technologies; Intelligent Computing.
Part III - IV - Intelligent Computing.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit Kryptographie, Datenverschlüsselung
- Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Informationstheorie, Kodierungstheorie
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
Weitere Infos & Material
.- Intelligent Computing.
.- Neural Network Approach for Early detection of Sugarcane Diseases.
.- Enhanced Residual Network Framework for Robust Classification of Noisy Lung Cancer CT Images.
.- Single-Cell Drug Perturbation Prediction Using Machine Learning.
.- Underwater Image Enhancement using Convolutional Neural Network and the MultiUnet Model.
.- A hybrid time series model for the spatio-temporal analysis of air pollution prediction based on PM2.5.
.- Detection of Lung Diseases Using Deep Transfer Learning-Based Convolution Neural Networks.
.- DG-GAN: A Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos.
.- Auto-LVEF: A novel method to determine Ejection Fraction from 2D echocardiograms.
.- Phishing Detection in Browser-In-The-Middle: A Novel Empirical Approach Incorporating Machine Learning Algorithms.
.- Feature Engineering for Predicting Consumer Purchase Behavior: A Comprehensive Analysis.
.- Enhanced Simulation of Collision Events Using Quantum GANs for Jet Images Generation.
.- Class imbalance learning using Fuzzy SVM with Fuzzy Weighted Gaussian Kernel.
.- Material Handling Cost (MHC) Minimization through Facility Layout Design (FLD) Using Genetic Algorithm (GA) combined with the Particle Swarm Optimization (PSO) Method.
.- Detecting ADHD among children using EEG signals.
.- Enhancing Skin Cancer Classification with Ensemble Models.
.- Efficient real-time Sign Detection for Autonomous Vehical in Hazy environment using Deep Learning Models.
.- Kannada Continuous Speech Recognition using Deep Learning.
.- A new type of classification algorithm inspired by the chromatographic separation mechanism.
.- Comparative Analysis of ELM and Sparse Bayesian ELM for Healthcare Diagnosis.
.- Integration of Generative AI and Deep Tabular Data Learning Architecture for Heart Attack Prediction.
.- Navigating the Domain Shift: Object Detection in Indian Road Datasets with Limited Data.
.- An Efficient Hybrid Algorithm with Novel Inver-over Operator and Ant Colony Optimization for Traveling Salesman Problem.
.- Sparsity Analysis of New Biased Pearson Similarity Measure for Memory Based Collaborative Filtering.
.- Advancing Medical Predictive Models with Integrated Approaches.
