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RISSource Contamination Detection and Identification of Affected Spots in the Intermittent Water Supply System Using Mixed Tool-Based and Data-Driven Machine Learning Techniques
Publisher: American Society of Civil Engineers
Abstract: AbstractIt has always been difficult to model the real-life intermittent water distribution
system. This can be achieved by adopting operational setups of the modeling tool.
The Gajrawadi water supply network of Vadodara ...
Understanding Pitfalls and Opportunities in Estimating Parameters of a Physics-Based Battery Model Using a Machine Learning Based Method—A Case Study With Long Short-Term Memory Neural Network
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. Li-ion batteries' design parameters and material properties, such as porosity, electrode thickness, and solid-phase diffusivities, typically vary substantially due to different design goals as well as variations ...
State of the Art and Future Research Needs for Multiscale Analysis of Li-Ion Cells
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: The performance, safety, and reliability of Li-ion batteries are determined by a complex set of multiphysics, multiscale phenomena that must be holistically studied and optimized. This paper provides a summary of the state ...