Software and Data Engineering (eBook, PDF)

34th International Conference, SEDE 2025, New Orleans, LA, USA, October 20-21, 2025, Proceedings
Redaktion: Rahimi, Nick; Golilarz, Noor Amiri; Margapuri, Venkat

• Format: PDF

Produktbeschreibung

This book constitutes the proceedings of the 34th International Conference on Software and Data Engineering, SEDE 2025, held in New Orleans, LA, USA, during October 20-21, 2025.

The 26 full papers presented in these proceedings were carefully reviewed and selected from 42 submissions. These papers focus on a wide range of topics within Software and Data Engineering and are categorized into the following topical sections: Software Engineering and Data Science & Artificial Intelligence.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 416
• Erscheinungstermin: 12. Oktober 2025
• Englisch
• ISBN-13: 9783032086495
• Artikelnr.: 75653869

Inhaltsangabe

.
Software Engineering and Data Science. .
Drone Simulation in Precision Agriculture Using Unity. .
Leveraging Generative AI for Proactive Security and Automated Remediation in Cloud
Native CI/CD Pipelines. .
Optimizing Healthcare Pipelines for patient Benefit: A Data Engineering Perspectives on Preau
thorization Delays and Denials. .
Pairwise Clustering on Numerical Datasets by Translation. .
A Customizable Ad
hoc Java Client that Works with Bare Webservers. .
DuckDB
Powered Geo
Spatial Analytics for hit
and
run Incidents: A Case Study on Montgom
ery County, Maryland, Open Data. .
Analysis of Programming Capability of LLMs in the Context of Computer Science. .
Predicting Early Breast Cancer Recurrence with Machine Learning. .
Structural and Connectivity Patterns in the Maven Central Software Dependency Network. .
Cloud
Native Generative AI for Automated Planogram Synthesis: A Diffusion Model Approach for Multi
Store Retail Optimization. .
Applications Of Positive Unlabeled Learning in the field of DDoS attacks. .
Robust Intrusion Detection in IoV Using PU Learning and Supervised Ensembles with Synthetic Data Augmentation on CICIoV2024. .
The Potential of Large Language Models in Automating Software Testing: From Generation to Reporting. .
Design and Evaluation of a Scalable Data Pipeline for AI
Driven Air Quality Monitoring in Low
Resource Settings. .
Hybrid Taint Analysis for React: Automated XSS Prevention. .
Artificial Intelligence. .
Edge
Based Learning for Improved Classification Under Adversarial Noise. .
Prompt
Driven Test Generation: Leveraging Large Language Models and Knowledge Graphs for Quality Assurance in Data
Intensive Software System. .
Adversarial Machine Learning for Robust Password Strength Estimation. .
Mitigating Hallucination Risks in GenAI Compliance Advisory Systems for the Financial Industry. .
Prosense
Defending Text Generation with Adversarial Feedbac. .
Machine Learning
Based AES Key Recovery via Side
Channel Analysis on the ASCAD Dataset. .
Hand Line Classification. .
Beyond Accuracy: Evaluating LLMs for validating community service provider directory. .
Trustworthy Design Patterns for Multi
Agent Software Systems. .
Designing Interpretable AI Models: Lightweight Parallelism for Real
Time Malware Detection & Prevention. .
Interpretable AI with Lightweight Parallelism for Real
Time Auto Insurance Claims Triage.