Advanced Network Technologies and Intelligent Computing: Third International Conference, ANTIC 2023, Varanasi, India, December 20-22, 2023, Proceedings, Part IV

by Anshul Verma (Editor), Pradeepika Verma (Editor), Kiran Kumar Pattanaik (Editor), Sanjay Kumar Dhurandher (Editor), Isaac Woungang (Editor)

Overview

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.

 

Product Details

ISBN-13:	9783031640674
Publisher:	Springer-Verlag New York, LLC
Publication date:	08/07/2024
Series:	Communications in Computer and Information Science , #2093
Sold by:	Barnes & Noble
Format:	eBook
File size:	56 MB
Note:	This product may take a few minutes to download.

Table of Contents

.- 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.