… stages, with buyers being categorised as early adopters or pioneers. However, if electric …
A machine learning model, based on the k-means method, is used for the analysis, creating …

… the current study 1) Early adopters 2) Early majority Early Adopters: Also known as visionaries,
the set of buyers that buy into a new product/innovation very early in its life cycle despite …

… In this study, the early adopters are people within a certain population who are most likely to
… to a machine learning technique in order to reveal the profile of the early adopters (Section …

… early adopter of technology advancements and has reaped significant benefits. Machine
learning (… One of the most important uses of machine learning in healthcare is the detection and …

… In machine learning, we define anomalies as observations which deviate sufficiently … in
Machine learning (ML) algorithms as there is always some noise, ϵ associated with the learning …

… , becoming an early adopter of Machine Learning, works better for micro-businesses. In our
case, first movers may benefit from the superior capability to utilize Machine Learning in their …

… It employs machine learning … , machine learning models, and deep learning models.
Rule-based systems rely on predefined rules for sentiment classification, while machine learning …

… The Technology Inclined attitude scores the highest on average, above 4 (out of a maximum
of 10 and a minimum of −10), meaning that respondents might be early adopters or, at least, …

… In attempting to fill this gap, this paper focuses on the role of early adopters in the
diffusion of innovation in industrial markets[1]. Early adopters are those clients who adopt an …

… of emerged sources, including social media, machines learning, audio and video files, the
… 1, AI and its algorithm based sub branches such as machine learning, deep learning, neural …