Advanced Network Technologies and Intelligent Computing : Second International Conference, ANTIC 2022, Varanasi, India, December 22-24, 2022, Proceedings, Part II / edited by Isaac Woungang, Sanjay Kumar Dhurandher, Kiran Kumar Pattanaik, Anshul Verma, Pradeepika Verma.

Format:

Book

Contributor:

Woungang, Isaac, Editor.

Dhurandher, Sanjay Kumar, Editor.

Pattanaik, Kiran Kumar, Editor.

Verma, Anshul, Editor.

Verma, Pradeepika, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Communications in computer and information science 1865-0937 ; 1798

Communications in Computer and Information Science, 1865-0937 ; 1798

Language:

English

Subjects (All):

Computer engineering.

Computer networks.

Artificial intelligence.

Application software.

Image processing-Digital techniques.

Computer vision.

Computer Engineering and Networks.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Communication Networks.

Local Subjects:

Computer Engineering and Networks.

Artificial Intelligence.

Computer and Information Systems Applications.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Communication Networks.

Physical Description:

1 online resource (XXVI, 670 pages) : 375 illustrations, 283 illustrations in color.

Edition:

1st ed. 2023.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2023.

System Details:

text file PDF

Summary:

This book constitutes the refereed proceedings of the Second International Conference on Advanced Network Technologies and Intelligent Computing, ANTIC 2022, held in Varanasi, India, during December 22-24, 2022. The 68 full papers and 11 short papers included in this book were carefully reviewed and selected from 443 submissions. They were organized in two topical sections as follows: Advanced Network Technologies and Intelligent Computing.

Contents:

Intelligent Computing

ADASEML: Hospitalization Period Prediction of COVID-19 Patients Using ADASYN and Stacking Based Ensemble Learning

A Novel Weighted Visibility Graph Approach for Alcoholism Detection through the Analysis of EEG Signals

A Dehusked Areca nut classification algorithm based on 10-fold cross-validation of Convolutional Neural Network

CUSTOMER SEGMENTATION BASED ON RFM ANALYSIS AND UNSUPERVISED MACHINE LEARNING TECHNIQUE

Manifold D-CNN Architecture for Contrastive Disease Classification Based on Respiratory Sounds

A Pipelined Framework for the Prediction of Cardiac Disease with Dimensionality Reduction

Prediction of Air Quality Index of Delhi using Higher Order Regression Modelling

Deep learning for the classification of cassava leaf diseases in unbalanced field data set

IMAGE CLASSIFICATION WITH INFORMATION EXTRACTION BY EVALUATING THE TEXT PATTERNS IN BILINGUAL DOCUMENTS

Probabilistic Forecasting of the Winning IPL Team using Supervised Machine Learning

Diversified licence plate character recognition using fuzzy image enhancement and LPRNet : an experimental approach

High Blood Pressure Classification using Meta-Heuristic based Data-Centric Hybrid Machine Learning Model

Implementing Machine Vision Process to Analyze Echocardiography for Heart Health Monitoring

Social Media Bot Detection Using Machine Learning Approach

Detection of Homophobia and Transphobia in Malayalam and Tamil: Exploring Deep Learning Methods

Coffee Leaf Disease Detection using Transfer Learning

Airline price prediction using XGBoost hyper-parameter tuning

Exploring Deep Learning Methods for Classification of SAR Images: Towards NextGen Convolutions via Transformers

Structure for the implementation and control of Robotic Process Automation projects

Shrinkable Cryptographic Technique using Involutory Function for Image Encryption

Implementation of Deep Learning models for real-time Face Mask Detection System using Raspberry Pi

Depression Detection on Twitter using RNN and LSTM models

Performance Assessment of Machine Learning Techniques for Corn Yield Prediction

DETECTION OF BIRD AND FROG SPECIES FROM AUDIO DATASET USING DEEP LEARNING

Lifestyle Disease Influencing Attribute Prediction using Novel Majority Voting Feature Selection

Sample size estimation for effective modelling of classification problems in machine learning

A Generative Model based Chatbot using Recurrent Neural Networks

Pixel Attention Based Deep Neural Network for Chest CT Image Super Resolution

Evaluation of Various Machine Learning based Existing Stress Prediction Support Systems (SPSSs) for COVID-19 Pandemic

Machine Learning Approaches for the Detection of Schizophrenia using Structural MRI

A Hybrid Model for Fake News Detection Using Clickbait: An Incremental Approach

Building a Multi-class Prediction App for Malicious URLs

Comparative Performance of Maximum Likelihood and Minimum Distance Classifiers on Land Use and Land Cover Analysis of Varanasi District (India)

Recent Trends and Open Challenges in Blind Quantum Computation

Driving Style Prediction using Clustering Algorithms

Analyzing Fine-tune Pre-trained Models for Detecting Cucumber Plant Growth

A Prediction Model with Multi-Pattern Missing Data Imputation for Medical Dataset

Impact Analysis of Hello Flood attack on RPL

Classification of Quora insincere questionnaire using soft computing paradigm

Conventional Feature Engineering and Deep Learning approaches to Facial Expression Recognition: A Brief Overview

Forecasting of rainfall using neural network and traditional almanac model

Retinal Blood Vessel Segmentation Based On Modified CNN and Analyze the Perceptional Quality of Segmented Images

Heuristics for K-Independent Total Traveling Salesperson Problem

A Comparative Study and Analysis of Time Series Forecasting Techniques for Indian Summer Monsoon Rainfall (ISMR)

YOLOv4 Vs YOLOv5: Object Detection on Surveillance Videos. .

Other Format:

Printed edition:

ISBN:

978-3-031-28183-9

9783031281839

Access Restriction:

Restricted for use by site license.