Results 251 to 260 of about 9,308,983 (309)

ARMY GAS-COOLED REACTOR SYSTEMS PROGRAM. ML-1A SHIELD OPTIMIZATION STUDY

, 1965
Not Given Author
openalex   +2 more sources

Whole‐Blood RNA Sequencing Profiling of Patients With Rheumatoid Arthritis Treated With Tofacitinib

ACR Open Rheumatology, EarlyView.
Objective Patients with rheumatoid arthritis (RA) often fail to respond to therapies, including JAK inhibitors (JAKi), and treatment allocation is made via a trial‐and‐error strategy. A comprehensive analysis of responses to JAKi, including tofacitinib, by RNA sequencing (RNAseq) would allow the discovery of transcriptomic markers with a two‐fold ...
Chiara Bellocchi, Ennio Giulio Favalli, Gabriella Maioli, Elena Agape, Marzia Rossato, Matteo Paini, Adriana Severino, Barbara Vigone, Martina Biggioggero, Elena Trombetta, Roberto Caporali, Lorenzo Beretta   +11 more
wiley   +1 more source

Optimization of monocrystalline silicon photovoltaic module assembly lines based on simulation model. [PDF]

PLoS One
Liu Y, Xia X, Zhang J, Wang K, Yu B, Wu M, Shi J, Ma C, Liu Y, Hu B, Wang X, Wang B, Wang R, Wang B.   +13 more
europepmc   +1 more source

Test Plan Optimization for Reentry Vehicle Nose Tip Evaluation

, 1967
R. A. Rindal, T. J. Dahm
openalex   +2 more sources

Multiple strategy enhanced hybrid algorithm BAGWO combining beetle antennae search and grey wolf optimizer for global optimization. [PDF]

Sci Rep
Zhang F, Liu C, Liu P, Ding S, Qiu T, Wang J, Du H.   +6 more
europepmc   +1 more source

STAR-RIS enabled covert integration of sensing communication and over-the-air computing with analysis and optimization. [PDF]

Sci Rep
Zhang M, Wang C, Ren T, Li J.
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Bayesian optimization and machine learning for vaccine formulation development. [PDF]

PLoS One
Li L, Back SI, Ma J, Guo Y, Galeandro-Diamant T, Clénet D.   +5 more
europepmc   +1 more source

OPTIMIZATION STUDIES ON PASTE-FUELED FAST REACTORS

, 1960
J. M. Zetterbaum, T.W. Kerlin
openalex   +2 more sources

Random Learning Leads to Faster Convergence in ‘Model‐Free’ ILC: With Application to MIMO Feedforward in Industrial Printing

International Journal of Adaptive Control and Signal Processing, EarlyView.
The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
wiley   +1 more source