Results 211 to 220 of about 121,175 (300)

Shapley Additive Explanation for Local Class Differentiation: Local Explainability for Class Differentiation in Classification Models

Advanced Intelligent Systems, EarlyView.
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna, Hugo A. Ordoñez Erazo, Carlos A. Cobos Lozada   +2 more
wiley   +1 more source

A comparative analysis of game-based learning and conventional learning in dental education. [PDF]

J Dent Educ
Fernández-Gómez F, Cosin-Villanueva M, Almiñana-Pastor P, López-Roldán A.   +3 more
europepmc   +1 more source

Bronchoscopy Robot with Enhanced Flexibility and Stability via Multi‐Segment Variable Stiffness Catheter

Advanced Intelligent Systems, EarlyView.
This work presents a magnetic bronchoscopy robot with a novel multi‐segment variable stiffness catheter. This catheter can not only move flexibly in the narrow bronchi but also harden according to the need to provide support. Combined with remote wireless magnetic field drive, it provides a more precise and effective solution for biopsy of deep lung ...
Shucong Yin, Bin Huang, Shiyuan Dong, Junhao Wang, Liangshen Zhao, Yang Yang, Bingkun Bao, Hongen Liao, Fang Chen, Tianqi Huang, Boyu Zhang   +10 more
wiley   +1 more source

Game-based learning in orthodontic education: a systematic review. [PDF]

BDJ Open
Sipiyaruk K, Reynolds PA, Nakornnoi T, Santiwong P, Chintavalakorn R.   +4 more
europepmc   +1 more source

The Minority Game: An Economics Perspective

This paper gives a critical account of the minority game literature. The minority game is a simple congestion game: players need to choose between two options, and those who have selected the option chosen by the minority win. The learning model proposed
Kets, W.
core  

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

Designing for Engagement in Primary Health Education Through Digital Game-Based Learning: Cross-National Behavioral Evidence from the iLearn4Health Platform. [PDF]

Behav Sci (Basel)
Gkintoni E, Magriplis E, Vantaraki F, Skoulidi CM, Anastassopoulos P, Cornea A, Inchaurraga B, Santurtun J, Mancha AC, Giorgakis G, Kouppas K, Timotheou S, Moreno Juan MJ, Muñagorri M, Harasiuk M, Lopez AG, Skoulidi E, Vantarakis A.   +17 more
europepmc   +1 more source

Dimensions of the AI Divide: Digital Inequality and Psychological Consequences

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence (AI) has become a foundational component of contemporary social, economic, and political life. Yet, the ways in which AI reshapes patterns of exclusion beyond questions of access and technical capability remain insufficiently theorized.
Christos Papaioannou
wiley   +1 more source

Game-based Learning in Eye Health Education - The Developmental Challenges of E-learning Games. [PDF]

F1000Res
Maseedupalli S, Snigdha S, Vaidyanathan K, Madhukuri S, Varada S, Bollam Y, Mocherla S, Pathengay A, Prakasam RK.   +8 more
europepmc   +1 more source

Artificial Intelligence Challenges for Knowledge Innovation Cycles

AI &Innovation, EarlyView.
ABSTRACT This article focuses on knowledge innovation and its contemporary reshaping, with particular attention to the growing role of AI in this process. This article first examines the general structure and phases of knowledge innovation cycles, aiming to identify AI's role within them.
Aharon Kellerman
wiley   +1 more source