Climate change challenges societal functioning, likely requiring considerable adaptation to
cope with future altered weather patterns. Machine learning (ML) algorithms have advanced …

A distinction is made between data rescue (ie, copying, digitizing, and archiving) and data
recovery that implies deciphering, interpreting, and transforming early instrumental readings …

This book focuses on the usage of geothermal energy in countries with low-enthalpy
reservoirs. It begins with the fundamentals of geothermal energy and classification of …

The article offers an overview of the time frames used in instrumental series and how to
transform them into modern units. In the early instrumental period, time was measured with …

Streamflow predictions are vital for detecting flood and drought events. Such predictions are
even more critical to Sub-Saharan African regions that are vulnerable to the increasing …

Streamflow observation data is vital for flood monitoring, agricultural, and settlement
planning. However, such streamflow data are commonly plagued with missing observations …

Tensor regression methods have been widely used to predict a scalar response from
covariates in the form of a multiway array. In many applications, the regions of tensor …

Continuous monitoring and improving the production process is a crucial step for the
entrepreneur to maintain its position in the market. A successful process monitoring scheme …