Advanced Network Technologies and Intelligent Computing [electronic resource] : 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.

Colaborador(es): Woungang, Isaac [editor.] | Dhurandher, Sanjay Kumar [editor.] | Pattanaik, Kiran Kumar [editor.] | Verma, Anshul [editor.] | Verma, Pradeepika [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Communications in Computer and Information Science ; 1798Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edición: 1st ed. 2023Descripción: XXVI, 670 p. 375 illus., 283 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031281839Tema(s): 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 NetworksFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 621.39 | 004.6 Clasificación LoC:TK7885-7895TK5105.5-5105.9Recursos en línea: Libro electrónicoTexto
Contenidos:
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 & 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. .
En: Springer Nature eBookResumen: 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.
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Acceso multiusuario

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 & 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. .

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.

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