| Record Type: |
Electronic resources
: Monograph/item
|
| Title/Author: |
Data engineering and applications/ edited by Jitendra Agrawal ...[et al.]. |
| Reminder of title: |
proceedings of the International Conference, IDEA 2K22. |
| remainder title: |
IDEA 2K22 |
| other author: |
Agrawal, Jitendra. |
| corporate name: |
International Conference on Data, Engineering, and Applications |
| Published: |
Singapore :Springer Nature Singapore : : 2024., |
| Description: |
x, 471 p. :ill., digital ;24 cm. |
| [NT 15003449]: |
Review of Methods for Handling Class-Imbalanced in Classification Problems -- Course Material Recommendation System Using Student Learning Behavior and Course Material Complexity Score for Slow Learner Students -- A Benchmarking Investigation of Evolutionary Algorithms to resolve the COVID Sample Collection Problem -- Using OpenNLP and GraalVM to detect sentences in Kubernetes while comparing Helidon and Spring Boot's metrics -- An Efficient Hybrid Model to Summarize the Text using Transfer Learning -- Automatic Detection of Learner's Learning Style -- Construction of an Intelligent Knowledge based System using Transformer Model -- Machine Learning-Based Disease Diagnosis using Body Signals: A Review -- Finite-Difference and Finite-Volume 1D Steady-State Heat Conduction model for Machine Learning Algorithms -- Sign Language Detection Through PCANet and SVM -- A Novel Surface Roughness Estimation and Optimization Model for Turning Process Using RSM-JAYA Method -- Effective Prediction of Coronary Heart Disease Using Hybrid Machine Learning -- Feature Extraction Using Levy Distribution-Based Salp Swarm Algorithm -- Plant Disease Detection using Machine Learning Approaches: A Review -- Copy Move Forgery Detection Algorithm: A Machine Learning based approach to detect Image Forgery -- A Machine Learning based Approach to Combat Hate Speech on Social Media -- Prediction of SARS - COVID - 19 Based on Transfer Machine Learning Techniques using Lungs CT Scan Images -- Online Document Identification and Verification using Machine Learning Model. |
| Contained By: |
Springer Nature eBook |
| Subject: |
Data mining. - |
| Online resource: |
https://doi.org/10.1007/978-981-97-2451-2 |
| ISBN: |
9789819724512 |