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Arcada University of Applied Sciences | Researchclopedia

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Arcada University of Applied Sciences

Helsinkieducation

944

Works

13,047

Citations

53

h-index

Top Research Topics

Machine Learning and ELM Neural Networks and Applications Domain Adaptation and Few-Shot Learning

Top Researchers

G. David Adamson Palo Alto University

328 works18,640 citationsh-index: 60

Recent Research

Artificial intelligence-based prediction of chloride migration coefficient in concrete with enhanced data imputation, optimization, and explainability

Woubishet Zewdu Taffese,Leonardo Espinosa-Leal

20260 citations

Digital Marketing and Social Media

Cerebral Palsy and Movement Disorders

Face and Expression Recognition

Sports Performance and Training

IPv6, Mobility, Handover, Networks, Security

Consumer Retail Behavior Studies

Concrete and Cement Materials Research

Technology Adoption and User Behaviour

Sports injuries and prevention

Constantine Vardavas Harvard University

510 works15,657 citationsh-index: 50

Enkeleint A. Mechili University of Crete

92 works11,355 citationsh-index: 26

Per H. Rosenberg University of Helsinki

394 works11,236 citationsh-index: 57

Markus Holopainen University of Helsinki

243 works9,296 citationsh-index: 46

Amaury Lendasse Missouri University of Science and Technology

343 works8,638 citationsh-index: 44

Cross-regional transfer learning to predict acid sulfate soils in Finland using Random Forest

Virginia Estévez,Stefan Mattbäck,et al.

20260 citations

Learning health equity in higher education—results from a European pilot study

Ingrid Onarheim Spjeldnæs,Gwendolijn Boonekamp,et al.

20260 citations

Exploring views on normal birth in the Nordic and Baltic regions: a cross-national qualitative study with midwives working in hospital birth settings

Pernilla Stenbäck,Eline Skirnisdottir Vik,et al.

20260 citations

The Impact of AI-Driven User Experience in Digital Payment Systems

Bandana Thapa,Lana Beikverdi

20260 citations

List of Ethical Requirements for the study "Co-Design of a Trustworthy AI-based Prognostic Tool for Predicting Patient Outcome in Acute Stroke"

Elizabeth Hofvenschioeld,Adam Hilbert,et al.

20260 citations