… early adopters" make it work for teaching and learning. This paper examines the characteristics
of early adopters … questions: 1) what differentiates early adopters from others, 2) what are …

… According to William Henderson, the early adopters in law are small in number, one sixth,
but ambitious, and can set the future road forward for the remainder. William D. Henderson, …

… , machine learning algorithms … earlier battery adopters. Failure to recognise these dynamics
may breed despair and turn current innovators and early adopters of PVs into late adopters …

… data is for Ireland, we anticipate that our findings would be applicable to other early
adopter countries that need such insights to design their policy mix for RET adoption. …

… Despite its promise, however, the application of machine learning to predict HIV acquisition
… ] to construct a machine learning risk score. We hypothesized that this machine learning risk …

This study proposes a novel approach to the pre-launch forecasting of new product demand
based on the Bass model and statistical and machine learning algorithms. The Bass model …

… a defining feature of our study's early adopters. Middle adopters have adopted intraoral
scanning … We hypothesized that early adopters make purchases more quickly than middle or late …

… Therefore, to examine the differences between EV early adopters and mainstream … into
three categories: current EV drivers, potential early adopters or PEAs (car owners planning to …

… Second, by using personal interviews with three early adopters of AI, we looked at … Application
of radiomics and machine learning in head and neck cancers. In: International Journal of …