Results 171 to 180 of about 471,788 (278)

A Space-Time Adaptive Processing Method Based on Sparse Bayesian Learning for Maneuvering Airborne Radar. [PDF]

Sensors (Basel), 2022
Zhang S, Wang T, Liu C, Wang D.
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

Bayesian Learning to Reduce Cardiac Risk of Patients With Locally Advanced Non-Small Cell Lung Cancer Based on Personalized Radiation Therapy Prescription. [PDF]

Int J Radiat Oncol Biol Phys
Lin R, Chen M, Zhang X, Xu T, Xu T, Maguire RC, Corrigan KL, Koutroumpakis E, Chang JY, Lin SH, Chen AB, Nguyen QN, Gandhi SJ, Ning MS, Bronk J, Chun S, Ajdari A, Niedzielski JS, Yang J, Chen X, Pan T, Meng QH, Tsao AS, Deswal A, Mohan R, Liao Z.   +25 more
europepmc   +1 more source

Off-Grid DOA Estimation Using Sparse Bayesian Learning for MIMO Radar under Impulsive Noise. [PDF]

Sensors (Basel), 2022
Ma J, Zhang J, Yang Z, Qiu T.
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

Bayesian learning-assisted catalyst discovery for efficient iridium utilization in electrochemical water splitting. [PDF]

Sci Adv
Niu X, Chen Y, Sun M, Nagao S, Aoki Y, Niu Z, Zhang L.   +6 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Experimental Validation of Entropy-Driven Swarm Exploration under Sparsity Constraints with Sparse Bayesian Learning. [PDF]

Entropy (Basel), 2022
Manss C, Kuehner I, Shutin D.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
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, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

Physiological swelling imaging in human calf under stocking compression by sparse Bayesian learning implemented into electrical impedance tomography (SBL-EIT). [PDF]

Biomed Eng Lett
Asano K, Ogawa R, Sejati PA, Akita S, Takei M.   +4 more
europepmc   +1 more source