Machine Learning Applications in Civil Engineering 1st Edition

Machine Learning Applications in Civil Engineering, 1st Edition by Kundan Meshram is a timely guide that bridges advanced data science with practical infrastructure needs. Whether you’re a practicing civil engineer, researcher, or graduate student, this book unlocks how machine learning is reshaping design, monitoring, and maintenance of built environments.

Discover clear, application-focused explanations of supervised and unsupervised learning, neural networks, and ensemble methods tailored to civil problems such as structural health monitoring, predictive maintenance, traffic flow modeling, geotechnical behavior, and water-resource management. Real-world examples and project-oriented discussions translate theoretical models into actionable workflows for use on urban bridges, highways, dams, and foundations—relevant to professionals in India and worldwide.

Practical takeaways include selecting appropriate algorithms for noisy field data, building robust prediction pipelines, and integrating sensor inputs for early-warning systems. The author’s pragmatic approach emphasizes interpretability, model validation, and deployment considerations vital for regulatory and safety-critical engineering work.

If you want to lead data-driven infrastructure decisions, reduce lifecycle costs, and improve resilience, this book equips you with the techniques and confidence to implement machine learning across civil engineering domains. Concise, authoritative, and industry-relevant, it’s an essential resource for modern practitioners and educators.

Advance your projects and career with Machine Learning Applications in Civil Engineering by Kundan Meshram—a practical manual for turning data into durable, cost-effective infrastructure solutions. Order your copy today.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.