Results 251 to 260 of about 221,775 (313)

PID Control for Uncertain Systems with Integral Measurements and DoS Attacks Using a Binary Encoding Scheme. [PDF]

Entropy (Basel)
Hou N, Wu Y, Gao H, Hu Z, Bu X.
europepmc   +1 more source

Revisiting Target‐Aware de novo Molecular Generation with TarPass: Between Rational Design and Texas Sharpshooter

Advanced Science, EarlyView.
TarPass provides a rigorous benchmark for target‐aware de novo molecular generation by jointly evaluating protein‐ligand interactions, molecular plausibility, and drug‐likeness on 18 well‐studied targets. Results show that current models often fail to consistently surpass random baseline in target‐specific enrichment, while post hoc multi‐tier virtual ...
Rui Qin, Zijie Chen, Yurong Li, Meijing Fang, Longji Shen, Yilong Su, Odin Zhang, Qinghan Wang, Qun Su, Jike Wang, Tingjun Hou, Yu Kang   +11 more
wiley   +1 more source

Enhancing autonomous agriculture control systems in greenhouses for sustainable resource usage using deep learning techniques. [PDF]

PLoS One
Hindi I, Alsharkawi A, Al-Ajlouni M, Qarallah B.   +3 more
europepmc   +1 more source

Topology‐Enriched Toughness Enhancement in Quasi‐Periodic Metastructures Featuring Tailorable Strong‐Weak Network

Advanced Science, EarlyView.
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao, Genda Wang, Jiabao Bai, Kai Liu   +3 more
wiley   +1 more source

Gauge-covariant stochastic neural fields: stability and finite-width effects. [PDF]

Sci Rep
Terin RC.
europepmc   +1 more source

Inferring accumulation times of mitochondrial DNA deletion mutants from cross-sectional single-cell data: methodological framework and validation. [PDF]

NPJ Aging
Kowald A, Kirkwood TBL.
europepmc   +1 more source

Bias and Its Control in Stochastic Approaches to Electronic-Structure Theory. [PDF]

J Chem Theory Comput
Savchenko P, Adhikari S, Hadad E, Rabani E, Baer R.   +4 more
europepmc   +1 more source

Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs. [PDF]

Infect Dis Model
Xie L, Yang J, Li Z.
europepmc   +1 more source

A control theoretical approach to gene regulation reveals quantitative constraints for dynamic homeostasis in stochastic gene expression. [PDF]

Biochim Biophys Acta Mol Basis Dis
Giovanini G, Negrão CVZV, Alsinai A, Rosner MR, Balázsi G, Ramos AF.   +5 more
europepmc   +1 more source

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Controlling Stochastic Resonance

Physical Review Letters, 1999
Stochastic resonance (SR) is a nonlinear noise-mediated cooperative phenomenon wherein the coherent response to a deterministic signal can be enhanced in the presence of an optimal amount of noise. Since its inception in 1981 [1], SR [2] has been demonstrated in diverse systems including sensory neurons, mammalian neuronal tissue, lasers, SQUIDs ...
GAMMAITONI, Luca, LOCHER M, BULSARA A, HANGGI P, NEFF J, WIESENFELD K, DITTO W, INCHIOSA ME   +7 more
openaire   +2 more sources