Results 221 to 230 of about 1,171,833 (351)

Unsupervised Machine Learning for Co/Multimorbidity Analysis

, 2018
Shatrunjai P. Singh, Swagata Karkare, Sudhir M. Baswan, Vijendra Singh   +3 more
openalex   +2 more sources

Resource‐Centered Transformation Paths: The Role of Digital Transformation in Optimizing SME Resources for Sustainable Entrepreneurship

Business Strategy and the Environment, EarlyView.
ABSTRACT The critical role of small and medium‐sized enterprises (SMEs) in driving economic growth through employment generation and innovation cannot go unseen, especially the efforts of small firms in promoting sustainable entrepreneurship. With more market and consumer focus on sustainability and the shift toward eco‐friendly products, SMEs can ...
Nasser Hadi Alajmi
wiley   +1 more source

K-Means Clustering algorithms in Urban studies: A Review of Unsupervised Machine Learning techniques [PDF]

B. Kilani, Najem Dhaher
openalex   +1 more source

Artificial intelligence and machine learning‐assisted digital applications for biopharmaceutical manufacturing

Biotechnology Progress, EarlyView.
Abstract Artificial intelligence and automation are no longer just buzzwords in the biopharmaceutical industry. The manufacturing of a class of biologics, comprising monoclonal antibodies, cell therapies, and gene therapies, is far more complex than that of traditional small molecule drugs.
Shyam Panjwani, Hao Wei, John Mason
wiley   +1 more source

Using unsupervised machine learning to characterize recovery patterns in elite canoe-kayak athletes across the Olympic training year. [PDF]

Front Sports Act Living
Foucaud A, Durand F, Meric H.
europepmc   +1 more source

Consumer Acceptance of Conversational Bots: Systematic Literature Review and Meta‐Analysis

Journal of Consumer Behaviour, EarlyView.
ABSTRACT As consumers increasingly rely on conversational bots for daily tasks, evidence surrounding motivations for acceptance remains scattered. A systematic literature review (SLR) was conducted on 64 journal articles published between 2008 and 2024, of which 48 provided sufficient quantitative data for inclusion in a meta‐analysis.
Omar H. Fares, Seung Hwan (Mark) Lee
wiley   +1 more source

Unsupervised machine learning identifies distinct SLE patient endotypes with differential response to belimumab. [PDF]

Rheumatology (Oxford)
Depascale R, Da Mutten R, Lindblom J, Cetrez N, Palazzo L, Iaccarino L, Doria A, Nikolopoulos D, Gatto M, Parodis I.   +9 more
europepmc   +1 more source

Machine Learning for Unsupervised Fraud Detection

, 2015
Fraud is a threat that most online service providers must address in the development of their systems to ensure an efficient security policy and the integrity of their revenue. Amadeus, a Global Distribution System providing a transaction platform for flight booking by travel agents, is targeted by fraud attempts that could lead to revenue losses and ...
openaire   +1 more source

An Alternative Aproach of Exercise Prescription for Type 2 Diabetes Control in Time and Space Restrictions

Chronic Diseases and Translational Medicine, EarlyView.
Continuum of physical behavior changes and important questions about exercise prescription approach in the diabetes context. ABSTRACT Although physical exercise is widely recognized for its role in glycemic control and overall health, population characteristics such as comorbidities, sedentary behavior, disease‐related complications, and socioeconomic ...
Rodrigo Sudatti Delevatti, Samara Nickel Rodrigues, Cristine Lima Alberton   +2 more
wiley   +1 more source

Comparative analysis of outcomes in high KDPI spectrum kidney transplants using unsupervised machine learning algorithm. [PDF]

PLoS One
Moein M, Golkarieh A, Vlassis I, Saidi R, Lioudis M.   +4 more
europepmc   +1 more source