Advanced Network Technologies and Intelligent Computing
Springer International Publishing (Verlag)
978-3-031-28182-2 (ISBN)
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.
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.
| Erscheinungsdatum | 23.03.2023 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XXVI, 670 p. 375 illus., 283 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1035 g |
| Themenwelt | Informatik ► Weitere Themen ► Hardware |
| Schlagworte | Applications • Artificial Intelligence • Computer Science • Computer Security • computer vision • conference proceedings • Data Mining • decision trees • Informatics • machine learning • Network Protocols • pattern recognition • Research • Software engineering |
| ISBN-10 | 3-031-28182-9 / 3031281829 |
| ISBN-13 | 978-3-031-28182-2 / 9783031281822 |
| Zustand | Neuware |
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