| Description |
1 online resource (xxvi, 670 pages) : illustrations (some color) |
| Series |
Communications in computer and information science, 1865-0937 ; 1798 |
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Communications in computer and information science ; 1798. 1865-0937
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| 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 & 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. |
| 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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on online resource; title from digital title page (viewed on April 26, 2023) |
| Subject |
Computer networks -- Congresses
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Artificial intelligence -- Congresses
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Artificial intelligence
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Computer networks
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Woungang, Isaac, editor
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Dhurandher, Sanjay Kumar, editor
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Pattanaik, Kiran Kumar, editor
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Verma, Anshul (Computer scientist), editor.
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Verma, Pradeepika, editor
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| ISBN |
9783031281839 |
|
3031281837 |
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