Results 141 to 150 of about 498,802 (301)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Synthesis of Kantil Tone Using The Frequency Modulation Method

Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)
Music is a creative form of expression that utilizes sound arranged in specific patterns to create artistic works that are enjoyable to the listener. However, in music, excessive or continuous exposure to loud sounds can damage the hair cells in the ear,
I Ketut Gede Suhartana, Ni Kadek Yulia Dewi, Gst Ayu Vida Mastrika Giri   +2 more
doaj   +1 more source

Root mean square error and the KGE value of the simulated soil moisture at different depths.

, 2016
Root mean square error and the KGE value of the simulated soil moisture at different depths.
Qidong Yang (240902), Weidong Li (292436), Hongchao Zuo (3175596)   +2 more
core   +1 more source

Carboxylic‐Acid Functionalized Multiwalled Carbon Nanotube‐Alkane‐Based Resistive Temperature Sensor for Cold Chain Applications

Advanced Engineering Materials, EarlyView.
This study presents a reversible temperature sensor with high switching ratio, ∼103. The device is fabricated using PET‐ITO and carbon nanotube dispersions in alkane. Considering its application in cold chain logistics, a proof‐of‐concept with LED is showcased. Thus, a temperature drop below the threshold temperature (crystallization temperature of the
Sunil Kumar Behera, Philippe Marrec, A. Jorge Parola, Madalena Dionísio, Hugo Águas, Andreia F. M. Santos, Hamed Pourkheirollah, Donald Lupo, César A. T. Laia   +8 more
wiley   +1 more source

Migrative armadillo optimization enabled a one-dimensional quantum convolutional neural network for supply chain demand forecasting.

PLoS ONE
Demand forecasting is a quite challenging task, which is sensitive to several factors such as endogenous and exogenous parameters. In the context of supply chain management, demand forecasting aids to optimize the resources effectively.
Mohamed Irhuma, Ahmad Alzubi, Tolga Öz, Kolawole Iyiola   +3 more
doaj   +1 more source

Measurements of area under ROC (receiver operating characteristic curve) (AUC) using standard method and normalized root-mean-square error function (F_NRMSE) to discriminate between multiple sclerosis patients and controls.

, 2019
Measurements of area under ROC (receiver operating characteristic curve) (AUC) using standard method and normalized root-mean-square error function (FNRMSE) to discriminate between multiple sclerosis patients and controls.
M. C. Alonso-Rodríguez (6555950), L. De Santiago (7841240), L. Boquete (7841225), E. M. Sánchez Morla (6555941), E. Garcia-Martin (7841249), J. M. Miguel-Jiménez (7841234), M. Ortiz del Castillo (7841243), A. López-Dorado (7841246), E. Vilades (7841231), L. E. Pablo (7841237), E. López-Guillén (7841228)   +10 more
core   +1 more source

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

Advanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham, Chenyu Wen, Mohammad Hadi Khaksaran, Won‐Yong Lee, Javier Cruz, Klas Hjort, Dongping Wu, Shi‐Li Zhang   +7 more
wiley   +1 more source

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Coprime Factor Reduction of H-infinity Controllers

, 2003
We consider the efficient solution of the coprime factorization based H infinity controller approximation problems by using frequency-weighted balancing related model reduction approaches.
Varga, Andras
core  

Root mean square error (RMSE) and mean absolute error (MAE) for walking (warm-up), two stages of jogging, and walking (cool-down).

, 2016
Root mean square error (RMSE) and mean absolute error (MAE) for walking (warm-up), two stages of jogging, and walking (cool-down).
Jinseok Lee (1663414), Se-Eung Noh (2831315), Tharoeun Thap (2831312), Hoon Ko (2831309), Changwon Jeong (2831306), Heewon Chung (2881286), Kwon-Ha Yoon (1523152)   +6 more
core   +1 more source