£252.48

Novel AI Applications for Advancing Earth Sciences

AI & Machine Learning

Price data last checked 11 day(s) ago - will refresh soon

View at Amazon

We'll watch every seller, every day. One email when your price arrives.

This is the most expensive it has ever been. Walk away.

£252 today · previous high £252 · all-time low £239

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 80 days · 80 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 80 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £252 (67 days, 83.8%)

Price range: £239 - £252

Price levels: 2 different prices over 80 days

Description

The Earth Sciences industry faces a new challenge - the need for accurate, efficient, and reliable methods to monitor and predict geological phenomena and environmental changes. As climate change, earthquakes, and other natural disasters become more frequent and severe, the necessity for advanced tools and techniques is paramount. Traditional methods often fall short in providing the precision and speed required to address these critical issues. Geologists and earth scientists who are grappling with the urgent problem of utilizing artificial intelligence (AI) to revolutionize their field, will find the solution within the pages of Novel AI Applications for Advancing Earth Sciences. This book offers the research community concepts expanding upon the fusion of AI technology with earth sciences. By leveraging advanced AI tools, such as convolutional neural networks, support vector machines, artificial neural networks, and the potential of remote sensing satellites, this book transforms the identification of geological features, geological mapping, soil classification, and gas detection. Scientists can now predict earthquakes and assess the probability of climate change with unprecedented accuracy. Additionally, the book explains how the optimization of algorithms for specific tasks substantially reduces the time complexity of earth observations, leading to an unprecedented leap in accuracy and efficiency. The book goes beyond academic insights, and extends its reach to real-world applications. It empowers scholars, researchers, students, and practitioners to monitor climate change, evaluate carbon footprints, and adapt to changes in land use. Furthermore, it plays a pivotal role in optimizing renewable energy production, ensuring the world's transition to clean, reliable energy sources. The data obtained from Earth observation satellites can be harnessed for a multitude of on-ground applications, ranging from agriculture and forestry to mining, water management, rural and urban development, and more. In a world where AI meets earth sciences, this book provides many innovative solutions to the challenges faced by academicians and researchers, illuminating the path toward a more informed future.

Product Specifications

Format: hardcover
ASIN: B0CPQ1YQYY
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 12 April 2024
Listed Since: 07 December 2023

Barcode

No barcode data available

Novel AI Applications for Advancing Earth Sciences

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Artificial Intelligence and Data Science for Sustainability: Applications and Methods

Advanced Interdisciplinary Applications of Deep Learning for Data Science

Cases on AI-Driven Solutions to Environmental Challenges

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Advanced Applications of NLP and Deep Learning in Social Media Data

Multidisciplinary Approaches to AI, Data, and Innovation for a Smarter World

Achieving Sustainability in Multi-Industry Settings With AI

Advances in Explainable AI Applications for Smart Cities

Complex AI Dynamics and Interactions in Management (Advances in Logistics, Operations, and Management Science)

Driving Quality Education Through AI and Data Science

Novel Research and Development Approaches in Heterogeneous Systems and Algorithms

Innovations in Engineering and Food Science

Maintaining a Sustainable World in the Nexus of Environmental Science and AI

Using Computational Intelligence for Sustainable Manufacturing of Advanced Materials

Interdisciplinary Approaches to AI, Internet of Everything, and Machine Learning

Ethical Dimensions of AI Development

Intelligent Solutions to Evaluate Climate Change Impacts

Machine and Deep Learning Solutions for Achieving the Sustainable Development Goals

Convergence of AI, Education, and Business for Sustainability

Advancements in Climate and Smart Environment Technology

Artificial Intelligence Applications in Literary Works and Social Media (Advances in Computational Intelligence and Robotics)

Developing Smart Sustainability With Artificial Intelligence

AI Technologies for Personalized and Sustainable Tourism

Multidisciplinary Applications of Deep Learning-Based Artificial Emotional Intelligence (Advances in Computational Intelligence and Robotics)