Applied Machine Learning and Data Analytics
5th International Conference, AMLDA 2022, Reynosa, Tamaulipas, Mexico, December 22-23, 2022, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22-23, 2022. The 16 full papers and 4 short papers...
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Produktinformationen zu „Applied Machine Learning and Data Analytics “
Klappentext zu „Applied Machine Learning and Data Analytics “
This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22-23, 2022. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine learning, Healthcare and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging.
Inhaltsverzeichnis zu „Applied Machine Learning and Data Analytics “
Deep Learning Methods to Automate Embryo Classification and Evaluation.- Univariate feature fitness measures for classification problems: An empirical assessment.- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading.- Keratoconus Classification using Feature Selection and Machine Learning Approach.- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model.- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets.- Brain MRI Image Classification using Deep Learning.- A Real Time Face Recognition Attendance using Machine Learning.- Towards abalone differentiation through machine learning.- Better Qualitative Searching for Effecting the Performance of Machine Translation.- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network.- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores.- Implementation of YOLOv7 Model for Pest Detection.- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective.- A novel approach: Semantic web enabled subject searching for Union Catalogue.- How People in South America is Facing Monkeypox Outbreak?.- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture.- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning.- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning.- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems.
Bibliographische Angaben
- 2023, 1st ed. 2023, XII, 242 Seiten, 94 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: M. A. Jabbar, Fernando Ortiz-Rodríguez, Sanju Tiwari, Patrick Siarry
- Verlag: Springer, Berlin
- ISBN-10: 3031342216
- ISBN-13: 9783031342219
Sprache:
Englisch
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