Results 91 to 100 of about 358 (213)
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
Review: Jean McNiff & Jack Whitehead (2006). All You Need to Know About Action Research
This book serves as a comprehensive guide to action research. It provides useful information on how to undertake an action research project, write reports and disseminate research findings.
Sunil Khanna
doaj
Reflections on the Education Doctorate
In this reflective essay, I explore learnings and reflections along my doctoral journey and analyze how this journey has been untraditional for an education administrator.
LeAnn Fong-Batkin
doaj +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha +2 more
wiley +1 more source
Scholar Practitioner, Reflexive Professionals, the ART of Autobiographical Professional Development
This paper reflects upon Davies (2017) proposition of the ethical, values-focussed HR professional by presenting an autobiographical reflexive account of a group of recent Masters graduates who completed a reflexive digital bricolage (Armstrong, 2018) as their final research project (Human Resource Reflective Project). The challenges facing encouraging
openaire +1 more source
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 +2 more
wiley +1 more source
Harry Potter and the Scholar-Practitioner
Book review: This is a review of A guide to Professional Doctorates in Business and Management by Lisa Anderson, Jeff Gold, Jim Stewart and Richard Thorpei(End Note) . For such an unassuming-looking volume, I found this book to be provoking and enjoyable. As a result, my review took longer to write than anticipated.
openaire

