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

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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.





 
.- 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.
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