Results 261 to 270 of about 3,047,766 (352)

Supervised machine learning computing paradigm of energy activation for magnetic nanofluid flow via porous surface with nonlinear variant viscosity. [PDF]

Discov Nano
Alhubieshi N, Khan RA, Khan A, Jamshed W, Hussain SM, Ahmad H, Eid MR, Guedri K.   +7 more
europepmc   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

The effect of the creative problem-solving approach on creative thinking skills. [PDF]

Front Psychol
Ersoy E, Kara DÖ.
europepmc   +1 more source

Using Video Prompting to Teach Mathematical Problem Solving of Real-World Video-Simulation Problems

, 2018
Alicia F. Saunders, F. Spooner, Luann Ley Davis   +2 more
semanticscholar   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Domain-general and domain-specific cognitive factors mediating the relationship between math anxiety and mathematical performance in primary school children. [PDF]

Sci Rep
Taieb E, Borst G, Le Stanc L, Houdé O, Altarelli I, Iuculano T.   +5 more
europepmc   +1 more source

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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

The relationship between executive functions and mathematics: a systematic review with meta-analysis of longitudinal studies. [PDF]

Psicol Reflex Crit
Tette PPM, Justi CNG, Dos Reis Justi FR.
europepmc   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Enhancing mathematical modeling competencies through AI-powered VR. [PDF]

PLoS One
Gürefe N, Öksüz H, Sarpkaya Aktaş G.
europepmc   +1 more source