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A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni   +11 more
wiley   +1 more source
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Mental Models

Proceedings of the 2012 iConference, 2012
An approach to supporting the user-centered design of future information and communication technologies (ICTs) is described. It will be based on an analysis of user expectations about the characteristics of different ICT systems associated with the experiences that the users have had across the eras of ICT development (pre-PC; the PC era (1983-1992 ...
Lorraine Normore, Vandana Singh
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Mental models

Planning Review, 1992
The discipline of managing mental models—surfacing, testing, and improving our internal pictures of how the world works—promises to be a major breakthrough for building learning organizations.
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Mental Models

Mental models are cognitive frameworks that people employ to interpret their surroundings. with essence, they are internal frameworks or representations that aid with information interpretation, problem solving, and decision making (Bansal, 2019). People's understanding of complex systems, relationships, and scenarios is shaped by these models, which ...
openaire   +2 more sources

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