Results 91 to 100 of about 314,053 (305)

Science communication on TikTok: toward transformative and post-normal science

Frontiers in Communication
Science communication on social media is becoming increasingly important in order to promote an open dialog between science and the public. This raises the question of how to present topics related to climate change in a way that is both scientific and ...
Claudia Frick, Eva-Maria Grommes, Alice Watanabe   +2 more
doaj   +1 more source

Convolutional neural network-based skin cancer classification with transfer learning models

, 2023
Mariame Oumoulylte, Ali Omari Alaoui, Yousef Farhaoui, Ahmad El Allaoui, Abdelkhalek Bahri   +4 more
openalex   +2 more sources

Domain Transfer Multiple Kernel Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has only a limited number of labeled samples. To cope with the considerable change between feature distributions of different domains, we propose a new cross-domain kernel learning ...
Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong   +2 more
openaire   +3 more sources

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

Arthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli, Joanne E. Jordan, Ilana N. Ackerman, Alison Thorpe, Jennifer G. Persaud, Linda J. Woodhouse, Jason Chua, Ben Horgan, Andrew M. Briggs   +8 more
wiley   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

The Learning Transfer of Dementia Training Program Participants: Its Antecedents and Mediating Effect on the Job Competency of Geriatric Caregivers. [PDF]

Healthcare (Basel), 2023
Kim C, Lee J, Lee G.
europepmc   +1 more source

MSTIL: Multi-cue Shape-aware Transferable Imbalance Learning for effective graphic API recommendation

, 2023
Rong Qin, Zeyu Wang, Sheng Huang, Luwen Huangfu   +3 more
openalex   +1 more source

An Adaptive Human Pilot Model With Reaction Time Delay for Enhanced Adaptive Control in Piloted Systems

International Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley   +1 more source

Factors That Enhance and Hinder the Retention and Transfer of Online Pre-Clinical Skills Training to Facilitate Blended Learning

Advances in Medical Education and Practice, 2023
L C Enoch, R M Abraham, V S Singaram School of Clinical Medicine, Clinical and Professional Practice, College of Health Sciences, University of KwaZulu-Natal, Durban, South AfricaCorrespondence: L C Enoch, University of KwaZulu-Natal, Private Bag X54001,
Enoch LC, Abraham RM, Singaram VS
doaj  

Promoting learning transfer in science through a complexity approach and computational modeling. [PDF]

Instr Sci, 2023
Saba J, Hel-Or H, Levy ST.
europepmc   +1 more source