Results 131 to 140 of about 336,781 (326)

Neural Network‐Based Permittivity Engineering of Magnetic Absorbers for Customizable Microwave Absorption

Advanced Science, EarlyView.
A neural network‐enabled permittivity engineering paradigm is introduced, transcending traditional trial‐and‐error design. By decoupling electromagnetic parameters and screening a high‐throughput feature space, an ultrathin (1.0 mm) magnetic absorber is inversely designed, experimentally achieving a superior and customizable 5.1 GHz bandwidth and ...
Chenxi Liu, Jinzhe Li, Sen Li, Zhongqiu Guo, Yao Chen, Tian Li, Renchi Qin, Jiaxu Sun, Yongxi Lu, Fanbin Meng   +9 more
wiley   +1 more source

MSE-optimale crossover designs

, 2017
In der optimalen Versuchsplanung für Crossover Designs wurde bislang ein starker Fokus auf das optimale Schätzen der Behandlungskontraste gelegt. Nahezu unbetrachtet blieben bislang jedoch Modellmisspefizikation, insbesondere wenn carryover-Effekte auftreten, aber nicht ins Modell aufgenommen werden.
openaire   +2 more sources

Evaluation of surface strength of thin hard coating by micro slurry-jet erosion (MSE) and fine particles erosion method with impact particles of various size

, 2020
Tatsuki YAMASHITA, Toshiro MIYAJIMA, Noriyo HORIKAWA, Daichi SATOMI, Shingo KAWAMURA   +4 more
openalex   +1 more source

Lattice Genome Framework for Regionally Tailored Component‐Level Multi‐Objective Design in Additive Manufacturing

Advanced Science, EarlyView.
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Haoyuan Deng, Yufan Zhao, Mingyang Cao, Haiou Yang, Pan Wang, Hongze Wang, Hao Wang, Akihiko Chiba, Xin Lin   +8 more
wiley   +1 more source

Regression Neural Networks Advantage over Classical Regression Analysis

RUDN Journal of Engineering Research
In this study, two analyzing methods are used to predict housing prices in California: neural network forecasting methods and methods based on regression analysis.
Olga A. Saltykova, Vyacheslav D. Saushkin   +1 more
doaj   +1 more source

Indirect NRDF for Partially Observable Gauss-Markov Processes with MSE Distortion: Complete Characterizations and Optimal Solutions [PDF]

, 2019
Photios A. Stavrou, Mikael Skoglund
openalex   +1 more source

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

Advanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong, Haodong Shi, Qi Wang, Yingchao Li, Hongyu Sun, Jiayu Wang, Guanlin Li, Jian Zhang, Qiang Fu, Huilin Jiang   +9 more
wiley   +1 more source

In‐Operando FTIR Study to Investigate the Effect of Varying Lithium Salts on Solid Electrolyte Interface (SEI) Evolution in Lithium Metal Batteries

Advanced Science, EarlyView.
A clear correlation between electrolyte salt chemistry and Solid Electrolyte Interface (SEI) performance in lithium metal batteries is established using in operando FTIR spectroscopy. This study shows that LiTFSI instantaneously forms a robust, inorganic organic hybrid SEI (LiF, Li3N, Li2O, ROCO2Li, ROLi) that minimizes overpotential, while less ...
Samia Rahman, Rhyz Pereira, Jantakan Nedsaengtip, Vibha Kalra   +3 more
wiley   +1 more source

Impact of Owners’-Managers’ Demographic Characteristics on the Performance of MSEs in Ethiopia

, 2020
Abiot Animaw Semegn
openalex   +2 more sources

Peer Review #2 of "The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation (v0.1)"

, 2021

openalex   +1 more source