{"product_id":"software-and-data-engineering-9783032086488","title":"Software and Data Engineering","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Software Engineering and Data Science.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Drone Simulation in Precision Agriculture Using Unity.\u003cbr\u003e.- Leveraging Generative AI for Proactive Security and Automated Remediation in Cloud-Native CI\/CD Pipelines.\u003cbr\u003e.- Optimizing Healthcare Pipelines for patient Benefit: A Data Engineering Perspectives on Preau-thorization Delays and Denials.\u003cbr\u003e.- Pairwise Clustering on Numerical Datasets by Translation.\u003cbr\u003e.- A Customizable Ad-hoc Java Client that Works with Bare Webservers.\u003cbr\u003e.- DuckDB-Powered Geo-Spatial Analytics for hit-and-run Incidents: A Case Study on Montgom-ery County, Maryland, Open Data.\u003cbr\u003e.- Analysis of Programming Capability of LLMs in the Context of Computer Science.\u003cbr\u003e.- Predicting Early Breast Cancer Recurrence with Machine Learning.\u003cbr\u003e.- Structural and Connectivity Patterns in the Maven Central Software Dependency Network.\u003cbr\u003e.- Cloud-Native Generative AI for Automated Planogram Synthesis: A Diffusion Model Approach for Multi-Store Retail Optimization.\u003cbr\u003e.- Applications Of Positive Unlabeled Learning in the field of DDoS attacks.\u003cbr\u003e.- Robust Intrusion Detection in IoV Using PU Learning and Supervised Ensembles with Synthetic Data Augmentation on CICIoV2024.\u003cbr\u003e.- The Potential of Large Language Models in Automating Software Testing: From Generation to Reporting.\u003cbr\u003e.- Design and Evaluation of a Scalable Data Pipeline for AI-Driven Air Quality Monitoring in Low-Resource Settings.\u003cbr\u003e.- Hybrid Taint Analysis for React: Automated XSS Prevention.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Artificial Intelligence.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Edge-Based Learning for Improved Classification Under Adversarial Noise.\u003c\/p\u003e\u003cp\u003e.- Prompt-Driven Test Generation: Leveraging Large Language Models and Knowledge Graphs for Quality Assurance in Data-Intensive Software System.\u003c\/p\u003e\u003cp\u003e.- Adversarial Machine Learning for Robust Password Strength Estimation.\u003c\/p\u003e\u003cp\u003e.- Mitigating Hallucination Risks in GenAI Compliance Advisory Systems for the Financial Industry.\u003c\/p\u003e\u003cp\u003e.- Prosense - Defending Text Generation with Adversarial Feedbac.\u003c\/p\u003e\u003cp\u003e.- Machine Learning-Based AES Key Recovery via Side-Channel Analysis on the ASCAD Dataset.\u003c\/p\u003e\u003cp\u003e.- Hand Line Classification.\u003c\/p\u003e\u003cp\u003e.- Beyond Accuracy: Evaluating LLMs for validating community service provider directory.\u003c\/p\u003e\u003cp\u003e.- Trustworthy Design Patterns for Multi-Agent Software Systems.\u003c\/p\u003e\u003cp\u003e.- Designing Interpretable AI Models: Lightweight Parallelism for Real-Time Malware Detection \u0026amp; Prevention.\u003c\/p\u003e\u003cp\u003e.- Interpretable AI with Lightweight Parallelism for Real-Time Auto Insurance Claims Triage.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":52091436040535,"sku":"9783032086488","price":53.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9783032086488.jpg?v=1762274722","url":"https:\/\/bookcurl.com\/products\/software-and-data-engineering-9783032086488","provider":"Book Curl","version":"1.0","type":"link"}