Results 81 to 90 of about 2,892,641 (307)

Model Free Data Mining

, 2008
Input selection is a crucial step for nonlinear regression modeling problem, which contributes to build an interpretable model with less computation. Most of the available methods are model-based, and few of them are model-free. Model-based methods often
Jun Meng, Mingwei Dai, Zhu, Shanan, Yang, Can, Shanan Zhu, Meng, Jun, Can Yang, Dai, Mingwei   +7 more
core   +1 more source

Structural insights into an engineered feruloyl esterase with improved MHET degrading properties

FEBS Letters, EarlyView.
A feruloyl esterase was engineered to mimic key features of MHETase, enhancing the degradation of PET oligomers. Structural and computational analysis reveal how a point mutation stabilizes the active site and reshapes the binding cleft, expading substrate scope.
Panagiota Karampa, Konstantinos Makryniotis, Theofani‐Iosifina Sousani, Evangelos Topakas, Vangelis Daskalakis, Maria Dimarogona   +5 more
wiley   +1 more source

Practical Tracking Control of Cable-Driven Robots Using Adaptive Nonsingular Fast Terminal Sliding Mode

IEEE Access, 2018
In this paper, a novel robust control scheme is developed for the trajectory tracking control purpose of cable-driven robots under complex lumped uncertainties.
Yaoyao Wang, Jiawang Chen, Kangwu Zhu, Bai Chen, Hongtao Wu   +4 more
doaj   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Reinforcement Learning-Based Sliding Mode Control of Underwater Vehicles with Bow Rudders and X-Stern Rudders

Journal of Marine Science and Engineering
This paper addresses the motion control for an x-rudder underwater vehicle, which features a bow rudder and four independent x-shaped stern rudders. To achieve coordinated operation of bow and stern rudders of the x-rudder underwater vehicle, the motion ...
Hao Ren, Jie Liu, Jian Gao, Guang Pan, Haixu Ding   +4 more
doaj   +1 more source

Model Free Prediction With Uncertainty Assessment

IEEE Transactions on Information Theory
Deep nonparametric regression, characterized by the utilization of deep neural networks to learn target functions, has emerged as a focus of research attention in recent years. Despite considerable progress in understanding convergence rates, the absence of asymptotic properties hinders rigorous statistical inference.
Yuling Jiao, Lican Kang, Jin Liu 0011, Heng Peng, Heng Zuo   +4 more
openaire   +2 more sources

Unsupervised Model-Free Representation Learning [PDF]

, 2013
The update is the journal version appearing in IEEE IT transactions under the title "Time-series information and unsupervised learning of representations." This version includes important corrections and new results.
openaire   +3 more sources

Hyperosmotic stress induces PARP1‐mediated HPF1‐dependent mono(ADP‐ribosyl)ation

FEBS Letters, EarlyView.
Sorbitol‐induced hyperosmotic stress rapidly induces reversible mono(ADP‐ribosyl)ation (MARylation) on PARP1 without the signs of genotoxic signaling. We show that PARP1 autoMARylation is HPF1 dependent and forms hydroxylamine‐resistant O‐glycosidic linkages.
Anna Georgina Kopasz, Mihály Mérey, Rebeka Vásárhelyi, Ramóna Pék, Victor Imburchia, László Henn, Adrián Kószó, Nicholas D. Lakin, Ivan Ahel, Sébastien Huet, Ágnes Czibula, Gyula Timinszky   +11 more
wiley   +1 more source

Nonlinear model-free control

, 2022
V zaključnem delu je opisan linearni in nelinearni brezmodelni algoritem vodenja, ki je preizkušen na pozicionirnem sistemu. Preizkušeno je vodenje hitrosti in pozicije v realnem času, kjer smo sledili statični in dinamični referenci.
Golčer, Jan
core   +1 more source

Hierarchical Reinforcement Learning–Based Optimal Control for Model-Free Linear Systems

Mathematics
A novel model-free hierarchical reinforcement learning (HRL)–based Linear Quadratic Regulator (LQR) control framework with adaptive weight selection is proposed to address the reliance of conventional LQR methods on accurate system models and manual ...
Yong Zhang, Xiangrui Yan, Weiqing Yang, Yuyang Zhou   +3 more
doaj   +1 more source