£128.90

Springer Intelligent Data Analytics for Hazard Mitigation Book

Name: Springer Intelligent Data Analytics for Hazard Mitigation Book
Brand: Springer
Price: 128.9 GBP
Availability: InStock

AI & Machine Learning

It has never been this cheap. We have no record of a lower price.

£129 today · cheaper than every other day in the last 3 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 19 days • 19 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 19 days • 1 price levels

Days at Price

Price Analysis

Most common price: £129 (19 days, 100.0%)

Price range: £129 - £129

Price levels: 1 different prices over 19 days

Description

Advance your understanding of disaster management with this specialized text on intelligent data analytics for decision-support systems. This book explores how machine learning techniques can be applied to monitor, analyze, and forecast hydro-meteorological variables to improve hazard mitigation strategies. By focusing on predictive modeling, the content provides a way to forewarn the possibility of natural hazards through advanced data science. The text brings together expertise from various fields, including meteorology, hydrology, engineering, agriculture, economics, and disaster policy-making. This interdisciplinary approach creates a framework for building potent models used in hazard risk mitigation. Whether you are a researcher or a professional in civil and environmental engineering, this book helps advance the state of knowledge regarding the use of technology in managing natural risks. It serves as a comprehensive guide for those looking to implement machine learning within the context of disaster prevention and response.

Key Features

Explores machine learning applications for monitoring and forecasting hydro-meteorological variables in disaster management.

Utilizes predictive modeling as a primary discipline to help forewarn the possibility of natural hazards.

Provides an interdisciplinary framework featuring contributions from meteorology, hydrology, and engineering experts.

Integrates perspectives from agriculture, economics, and disaster policy-making to build robust risk mitigation models.

Designed to advance technical knowledge regarding decision-support systems in civil and environmental engineering.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 9811557748
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 31 July 2021
Listed Since: 03 July 2021

Barcode

No barcode data available

Springer Intelligent Data Analytics for Hazard Mitigation Book

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Key Features

Product Specifications

Barcode

Similar Products You Might Like

Intelligent Data Analytics for Decision-Support Systems in Hazard Mitigation: Theory and Practice of Hazard Mitigation (Springer Transactions in Civil and Environmental Engineering)

Advances in Water Resources Management for Sustainable Use: 131 (Lecture Notes in Civil Engineering, 131)

Springer Cognitive Internet of Medical Things for Smart Healthcare

Springer Data Science and Intelligent Applications ICDSIA 2020

The "Essence" of Network Security: An End-to-End Panorama: 163 (Lecture Notes in Networks and Systems, 163)

Cognitive Computing for Risk Management (EAI/Springer Innovations in Communication and Computing)

Multiphysics Simulations in Automotive and Aerospace Applications (Multiphysics: Advances and Applications)

Sensing the Perfect Tomato: An Internet of Sensing Approach

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain (Intelligent Data-Centric Systems)

Machine Learning Technologies and Applications: Proceedings of ICACECS 2020 (Algorithms for Intelligent Systems)

Fractional Calculus in Medical and Health Science (Mathematics and its Applications)

Deep Learning and Parallel Computing Environment for Bioengineering Systems

Space Security Law

Recent Advancements in Graph Theory (Mathematical Engineering, Manufacturing, and Management Sciences)

Advanced Numerical Methods for Differential Equations: Applications in Science and Engineering (Mathematics and its Applications)

Mobile Web 2.0: Developing and Delivering Services to Mobile Devices

Green Sustainable Process for Chemical and Environmental Engineering and Science: Natural Materials-Based Green Composites 2: Biomass

Deep Learning and Edge Computing Solutions for High Performance Computing (EAI/Springer Innovations in Communication and Computing)

Artificial Intelligence and Global Society: Impact and Practices

VSM Office Workflow: Facilitator Guide

Fractal Control and Its Applications

Mobile Electronic Commerce: Foundations, Development, and Applications (Industrial and Systems Engineering)

Artificial Intelligence Techniques in IoT Sensor Networks (Chapman & Hall/CRC Distributed Sensing and Intelligent Systems Series)

Springer Handbook of Thermal Management of Engines