04800nam a22005775i 4500 978-981-97-0037-0 DE-He213 20251030112930.0 cr nn 008mamaa 240901s2024 si | s |||| 0|eng d 9789819700370 978-981-97-0037-0 10.1007/978-981-97-0037-0 doi TA345-345.5 UN bicssc COM018000 bisacsh UN thema Data Engineering and Applications [electronic resource] : Proceedings of the International Conference, IDEA 2K22, Volume 1 / edited by Jitendra Agrawal, Rajesh K. Shukla, Sanjeev Sharma, Chin-Shiuh Shieh. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. X, 626 p. 278 illus., 212 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 1146 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. This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications. Engineering Data processing. Application software. Quantitative research. Data Engineering. 66059 Computer and Information Systems Applications. Data Analysis and Big Data. Agrawal, Jitendra. editor. edt http://id.loc.gov/vocabulary/relators/edt 83354 Shukla, Rajesh K. editor. edt http://id.loc.gov/vocabulary/relators/edt 83355 Sharma, Sanjeev. editor. edt http://id.loc.gov/vocabulary/relators/edt 79780 Shieh, Chin-Shiuh. editor. (orcid)0000-0003-3187-458X https://orcid.org/0000-0003-3187-458X edt http://id.loc.gov/vocabulary/relators/edt 70421 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819700363 Printed edition: 9789819700387 Printed edition: 9789819700394 Lecture Notes in Electrical Engineering, 1876-1119 ; 1146 https://doi.org/10.1007/978-981-97-0037-0 ZDB-2-INR ZDB-2-SXIT 62996 62996