Results 231 to 240 of about 1,400,060 (292)
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
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
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova +4 more
wiley +1 more source
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Representation and mental representation
Philosophical Explorations, 2018This paper engages critically with anti-representationalist arguments pressed by prominent enactivists and their allies. The arguments in question are meant to show that the “as-such” and “job-description” problems constitute insurmountable challenges to causal-informational theories of mental content.
Robert D Rupert
openaire +3 more sources
2020
Abstract Book history, media studies, and digital humanities have foregrounded the physical medium of texts and have shown special interest in the rise of digital media. This essay acknowledges the value of these disciplines but also points to their limitations as sites for analyzing reading.
I.P. Christensen +2 more
+5 more sources
Abstract Book history, media studies, and digital humanities have foregrounded the physical medium of texts and have shown special interest in the rise of digital media. This essay acknowledges the value of these disciplines but also points to their limitations as sites for analyzing reading.
I.P. Christensen +2 more
+5 more sources
Erkenntnis, 1978
AbstractArgues for postulating an inner ‘language’ in which thinking takes place, and proposes a means by which this postulate can be construed on functionalist lines. The functional theory is a purely causal one, and makes sense of only the syntactic and conceptual role properties of the inner language; and it is argued that, while the ...
openaire +1 more source
AbstractArgues for postulating an inner ‘language’ in which thinking takes place, and proposes a means by which this postulate can be construed on functionalist lines. The functional theory is a purely causal one, and makes sense of only the syntactic and conceptual role properties of the inner language; and it is argued that, while the ...
openaire +1 more source

