Results 151 to 160 of about 26,399 (309)

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Editorial: Advances in two-dimensional materials for electrochemical energy conversion and storage. [PDF]

Front Chem
Yang C, Tang Y.
europepmc   +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

Intelligent Modeling of Erosion-Corrosion in Polymer Composites: Integrating Fuzzy Logic and Machine Learning. [PDF]

Polymers (Basel)
Alqurashi HF, Abdellah MY, Alshareef M, Hassan MK, Alabdullah FT, Moamed AF.   +5 more
europepmc   +1 more source

Advanced Techniques in Data Science: The Impact of Fuzzy Logic on Artificial Intelligence Models

Akbar Mehmood, Abdur Rehman
openalex   +2 more sources

Using artificial intelligence to predict students’ STEM attitudes: an adaptive neural-network-based fuzzy logic model

, 2023
Seda Göktepe Körpeoğlu, Sevda Göktepe Yıldız   +1 more
openalex   +2 more sources

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

Editorial: Mental health in the age of artificial intelligence. [PDF]

Front Psychiatry
Noble JM, Ha K, Greenshaw AJ.
europepmc   +1 more source

Artificial Intelligence and Mathematical Logic: The Verifiability Problem

Salvador, Silvano
openalex   +1 more source

Can artificial intelligence and fuzzy logic be integrated into virtual reality applications in mining [PDF]

, 2014
R. Mitra, Serkan Saydam
openalex