Description

Book Synopsis

.- 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.

Software and Data Engineering

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    £53.99

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    RRP £59.99 – you save £6.00 (10%)

    Order before 4pm today for delivery by Wed 1 Jul 2026.

    A Paperback by Nick Rahimi

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      View other formats and editions of Software and Data Engineering by Nick Rahimi

      Publisher: Springer
      Publication Date: 11/18/2025
      ISBN13: 9783032086488, 978-3032086488
      ISBN10: 3032086485

      Description

      Book Synopsis

      .- 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.

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