Results 101 to 110 of about 73,459 (292)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Inferring Document Readability by Integrating Eye Movement Features [PDF]
Capturing user’s emotional state is an emerging way for implicit relevance feedback in information retrieval (IR). Recently, EEG-based emotion recognition has drawn increasing attention.
Chen, Yongqiang +5 more
core
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Information about benign prostatic hyperplasia (BPH) has become increasingly accessible on the Internet. Though the ability to find such material is encouraging, its readability and impact on informing patient decision making are not known.
Kevin Koo MD, MPH, MPhil +1 more
doaj +1 more source
. The Readability of the Indonesian Textbook Discourse "Ekspresi Diri dan Akademik" Second Edition Using Cloze Test Methode On Grade X SMAN 1 Makassar. This research aimed to describe the readability of discourse in the Indonesian textbook "Ekspresi Diri
Khairil Khairil +2 more
doaj +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +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
Quantitative Assessment of Text Difficulty in Croatian Language
This paper presents past research in the field of statistical text analysis, with special emphasis on development of readability formulas. Apart from the theoretical part on reading, comprehension, and readability, the paper also presents results of ...
Sanja Brangan
doaj
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source

