Results 211 to 220 of about 150,984 (329)

PhysioFormer: Integrating multimodal physiological signals and symbolic regression for explainable affective state prediction. [PDF]

PLoS One
Wang Z, Wu W, Zeng C, Shen J.
europepmc   +1 more source

Is Human Walking a Network Medicine Problem? An Analysis Using Symbolic Regression Models with Genetic Programming. [PDF]

Comput Methods Programs Biomed, 2021
Dasgupta P, Hughes JA, Daley M, Sejdić E.   +3 more
europepmc   +1 more source

Friend, Not Foe: Lowered Tissue Reactivity to Long‐Term Polyimide Implants

Advanced Science, EarlyView.
The choice of optimal neural probe designs remains a major challenge in the field of neurotechnology. This study investigated the biocompatibility of several probe variations, including material, thickness, width, and implantation strategy. It highlights the clear advantage of soft polyimide probes over stiff silicon probes for better device ...
Corinne Orlemann, Laura M. De Santis, Paul Neering, Christian Boehler, Kirti Sharma, Arno Aarts, Tobias Holzhammer, Rik J. J. van Daal, Patrick Ruther, Maria Asplund, Roxana N. Kooijmans, Pieter R. Roelfsema   +11 more
wiley   +1 more source

Design of Single-Atom Catalysts Anchored in N-Doped Biphenylene Using Symbolic Regression for Electrocatalytic Nitrate Reduction to Ammonia. [PDF]

Adv Sci (Weinh)
Shu Z, Shi Z, Jia H, Xu H, Xu Z, Li Z, Ng MF, Tan TL, Huang F, Cai Y.   +9 more
europepmc   +1 more source

Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regression. [PDF]

Nat Commun, 2021
Reinbold PAK, Kageorge LM, Schatz MF, Grigoriev RO.   +3 more
europepmc   +1 more source

From Cell‐Free Transcriptomes to Single‐Cell Landscapes: Biomarker Discovery and Originating Cell Alteration Analysis via Graph Matrix Factorization

Advanced Science, EarlyView.
CellFreeGMF traces plasma cfRNA to likely originating cell types by integrating single‐cell atlases with graph‐regularized matrix factorization. The method decomposes cfRNA profiles into sample–cell contributions to reconstruct pseudo single‐cell expression.
Wenxiang Zhang, Wenjing Zhang, Hang Wei, Shiyan Liu, Junliang Shang, Weijie Gong, Hanwen Cheng, Xiujuan Lei, Yuhui Kou, Baoguo Jiang   +9 more
wiley   +1 more source

Neural Symbolic Regression of Complex Network Dynamics [PDF]

Haiquan Qiu, Shuzhi Liu, Quanming Yao
openalex   +1 more source

Interpretable Machine Learning to Understand Wildfire Toxicity: Bridging Chemicals, Omics, and Toxicological Outcomes via Symbolic Regression with Novel Feature Scoring. [PDF]

Chem Res Toxicol
Chappel JR, Kim YH, Gilmour MI, Baker ES, Jaspers I, Weigand TM, Rager JE.   +6 more
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

M5GP: Parallel Multidimensional Genetic Programming with Multidimensional Populations for Symbolic Regression [PDF]

Luis A. Cárdenas‐Florido, Leonardo Trujillo, Daniel E. Hernández, José Manuel Muñoz Contreras   +3 more
openalex   +1 more source