Results 151 to 160 of about 497,156 (310)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Ìнформаційні технології в освіті, 2013 The essence, the content and the forming model of readiness to future rescuers’ professional communication of State Service of Emergency Situations in the process of their training in the institute of higher education have been considered in the article ...
L. Didukh
doaj
Facilitators of Professional Communication Between Nurse and Opposite Gender Patient: A Content Analysis. [PDF]
Maedica (Bucur), 2020 Vatandost S, Cheraghi F, Oshvandi K.
europepmc +1 more source
Unclassified Professional Senate meeting, July 16, 2019
, 2019 Agenda: (Announcements or Proposals) -- (Old Business for USS & UP Senates): Compensatory time vs. Overtime -- Unified Employment Task Force Recommendations -- Combining USS and UP Senates -- KBOR Survey -- University Policies Reviewed -- (New Business ...
Unclassified Professional Senate
core
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.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
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.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
DEVELOPING AND CONDUCTING AN INTELLECTUAL GAME 5 MINDS: MOTIVATIONAL ASPECTS
Многоязычие в образовательном пространствеThe article deals with an urgent problem of developing an extracurricular learning model that contributes to improving the level of English language proficiency by increasing motivation.
R.Sh. Chermokina, G.A. Gryzlova
doaj
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
Advanced 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
Non-Medical Radiography Staff Experiences in Inter-Professional Communication: A Swedish Qualitative Focus Group Interview Study. [PDF]
J Multidiscip Healthc, 2020 Fatahi N, Kustrimovic M, Elden H.
europepmc +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source