Results 111 to 120 of about 2,652,555 (360)
Fidelity metrics for virtual environment simulations based on spatial memory awareness states [PDF]
This paper describes a methodology based on human judgments of memory awareness states for assessing the simulation fidelity of a virtual environment (VE) in relation to its real scene counterpart.
Alan Chalmers+5 more
core +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
The Look of (Un)confidence: Visual Markers for Inferring Speaker Confidence in Speech
Evidence suggests that observers can accurately perceive a speaker's static confidence level, related to their personality and social status, by only assessing their visual cues.
Yondu Mori+3 more
doaj +1 more source
Artificial Intelligences: A Bridge Toward Diverse Intelligence and Humanity's Future
Many discussions of artificial intelligence fail to address deeper questions being raised by advances in developmental biology, neuroscience, bioengineering, and philosophy of mind. Novel beings, including technologically and biologically augmented humans, engineered life forms, hybrots, and others, require tools of the emerging field of diverse ...
Michael Levin
wiley +1 more source
Background Population surveys and health services registers are the main source of data for the management of public health. Yet, the validity of survey data on the use of mental health services has been questioned repeatedly due to the sensitive nature ...
Drapeau Aline+2 more
doaj +1 more source
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad+3 more
wiley +1 more source
As suicide rates increase globally, there is a growing need for effective, data-driven methods in mental health monitoring. This study leverages advanced artificial intelligence (AI), particularly natural language processing (NLP) and machine learning ...
Hesham Allam+4 more
doaj +1 more source
Abstract Intergenerational connectedness broadly encompasses relations among humans, lands, and all living and spiritual beings, and functions as an important part of Indigenous well‐being. Many public health campaigns and interventions aim to promote connectedness to support holistic wellness and reduce health inequities. Currently, however, there are
Victoria M. O'Keefe+13 more
wiley +1 more source
Perspectives on recovery and recall to hospital in forensic mental health
People who are mentally unwell and have committed a criminal offence are cared for by forensic mental health services. Their treatment is provided in secure hospitals so that any risks to the public are minimised. The complex nature of the mental health difficulties experienced by this clinical population means that they are typically treated in secure
openaire +1 more source