Emerging Trends in Intelligent Systems & Network Security
| Körperschaft: | |
|---|---|
| Weitere Verfasser: | , , , |
| Zusammenfassung: | XXV, 523 p. 283 illus., 232 illus. in color. text |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Ausgabe: | 1st ed. 2023. |
| Schriftenreihe: | Lecture Notes on Data Engineering and Communications Technologies,
147 |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/978-3-031-15191-0 |
| Format: | Elektronisch Buch |
Inhaltsangabe:
- A Bi-objective Evolutionary Algorithm to Improve the Service Quality for On-demand Mobility
- A Dynamic Circular Hough Transform Based Iris Segmentation
- A Game Theoretic Framework for Interpretable Student Performance Model
- A New Telecom Churn Prediction Model Based on Multi Layer Stacking Architecture
- A Novel Hybrid Classification Approach for Predict Performance Student in e-learning
- A Proposed Big Data Architecture using Data Lakes for Education Systems
- A SVM Approach for Assessing Traffic Congestion State by Similarity Measures
- A Tool for the Analysis, Characterization, and Evaluation of Serious Games in Teaching
- Analysis and Examination of the Bus Control Center(BCC) System: Burulaş Example
- Analyze Symmetric and Asymmetric Encryption Techniques by Securing Facial Recognition System
- Aspect-Based Sentiment Analysis of Indonesian Language Hotel Reviews using Long Short-Term Memory with an Attention Mechanism
- Big Data and Machine Learning in Healthcare: Concepts, Technologies, and Opportunities
- Classification of Credit Applicants using SVM Variants Coupled with Filter-Based Feature Selection
- Classification of Hate Speech Language Detection on social media: Preliminary Study for Improvement
- CoAP and MQTT: Characteristics and Security.