Results 91 to 100 of about 11,040,138 (216)
Employing deep learning and transfer learning for accurate brain tumor detection
Artificial intelligence-powered deep learning methods are being used to diagnose brain tumors with high accuracy, owing to their ability to process large amounts of data.
S. Mathivanan +5 more
semanticscholar +1 more source
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
Contextualising the findings - the Orkney social pedagogy evaluation
CELCIS, formerly SIRCC, has funded a series of ThemPra social pedagogy courses for residential childcare staff across Scotland. ThemPra is a small social enterprise consisting of German, English and Danish social pedagogy trainers.
Evelyn Vrouwenfelder
doaj +1 more source
Mutual Alignment Transfer Learning
Training robots for operation in the real world is a complex, time consuming and potentially expensive task. Despite significant success of reinforcement learning in games and simulations, research in real robot applications has not been able to match similar progress.
Wulfmeier, M, Posner, H, Abbeel, P
openaire +3 more sources
Classifying Crop Leaf Diseases using Different Deep Learning Models with Transfer Learning
Within the scope of the research, we put forward a technique of exactly confirming the distinctiveness of agricultural leaf pathologies with the assist of deep mastering algorithms and switch getting to know generation.
Lakshin Pathak +2 more
semanticscholar +1 more source
Communities in drought-prone areas continued to fall into new vulnerability traps due to increasing water demand and stress. The study assessed groundwater development and management constraints in the Chiredzi and Zvishavane districts of Zimbabwe ...
Pascal Manyakaidze +2 more
doaj +1 more source
Domain Transfer Multiple Kernel Learning
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 +2 more
openaire +3 more sources
This study investigates the use of reflective discussion strategies to improve students’ understanding of forgetting and learning transfer. Conducted as Classroom Action Research on second-semester students of the Islamic Education Management Program at ...
Siti Hanifah Parawansah +7 more
doaj +1 more source
Learning Transfer: The Missing Link to Learning among School Leaders in Burkina Faso and Ghana
Every year, billions of dollars are spent on development aid and training around the world. However, only 10% of this training results in the transfer of knowledge, skills, or behaviors learned in the training to the work place.
Corinne Brion, Paula A. Cordeiro
doaj +1 more source
The Learning Transfer of Dementia Training Program Participants: Its Antecedents and Mediating Effect on the Job Competency of Geriatric Caregivers. [PDF]
Kim C, Lee J, Lee G.
europepmc +1 more source

