Results 151 to 160 of about 105,151 (260)

Gaussian Process Regression for Value-Censored Functional and Longitudinal Data. [PDF]

Stat Med
Gorm Hoffmann A, Thorn Ekstrøm C, Zeymer Christoffersen B, Kryger Jensen A.   +3 more
europepmc   +1 more source

Correlated product of experts for sparse Gaussian process regression. [PDF]

Mach Learn, 2023
Schürch M, Azzimonti D, Benavoli A, Zaffalon M.   +3 more
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

Chromatin Packing Domain Engineering Through the Manipulation of Nuclear Cationic States

Advanced Science, EarlyView.
Manipulation of intranuclear divalent cation concentrations rapidly and reversibly remodels chromatin packing domains in living cells. Magnesium depletion disrupts domain compaction, heterochromatin organization, and transcriptional regulation, whereas magnesium loading promotes more compact and stable domains.
Cody L. Dunton, Carrillo Paola Gonzalez, Luay Almassalha, Wing Shun Li, Ruyi Gong, Nicolas Acosta, I Chae Ye, Jane Frederick, Christopher Hogg, Saira John, J. A. Gareth Williams, Rikkert J. Nap, Igal Szleifer, Vadim Backman   +13 more
wiley   +1 more source

Gaussian process regression with physics-guided pseudo-sample augmentation for wear prediction under sparse measurements in milling. [PDF]

Sci Rep
Nguyen HP, Nguyen DT, Kim JM.
europepmc   +1 more source

Probabilistic detection of impacts using the PFEEL algorithm with a Gaussian Process Regression Model. [PDF]

Eng Struct, 2023
MejiaCruz Y, Caicedo JM, Jiang Z, Franco JM.   +3 more
europepmc   +1 more source

Artificial Intelligence‐Driven Inverse Design of Singlet Fission Candidates in the Acene family

Advanced Science, EarlyView.
In this work, we describe an AI‐driven inverse design platform predicting S1 and T1 energies across acenes with high accuracy. Using Hammett σ constants as descriptors and RNN models coupled with optimization algorithms, it efficiently explores ≈1014 structures, uncovering novel SF candidates from benzene to pentacene. Freely accessible at https://alba.
Rafael G. Uceda, Boris Pérez‐Cañedo, Sandra Míguez‐Lago, Carlos M. Cruz, Joaquín J. Torres, Omar Núñez, Luis Álvarez de Cienfuegos, Antonio J. Mota, Delia Miguel, Juan M. Cuerva   +9 more
wiley   +1 more source

A Data-Driven Gaussian Process Regression Model for Concrete Complex Dielectric Permittivity Characterization. [PDF]

Sensors (Basel)
Angiulli G, Versaci M, Burrascano P, Laganá F.   +3 more
europepmc   +1 more source

Single–Atom Iron Sites Enable Enhanced Arsenic Removal From Water Through Synergistic Adsorption–Oxidation

Advanced Science, EarlyView.
Single–atom iron anchored on nitrogen–doped porous biochar exhibited ultra–efficient performance, exceptional environmental resilience, and integrated adsorption–oxidation functionality. The multifunctional architecture of the support and the unparalleled reactivity of single–atom iron underpinned the cooperative adsorption and oxidation of As(III ...
Tao Sun, Chao Wang, Shihang Wu, Xiaojia Zhou, Penggang Pei, Huijuan Yu, Yun Zhang, Qingqing Huang, Yuebing Sun   +8 more
wiley   +1 more source

Analysis of noisy transient signals based on Gaussian process regression. [PDF]

Biophys J, 2023
Baglaeva I, Iaparov B, Zahradník I, Zahradníková A.   +3 more
europepmc   +1 more source