Results 111 to 120 of about 23,025 (301)
Advanced Intelligent Systems, EarlyView.This study introduces the first inverse machine learning model to predict laser powder bed fusion process parameters for targeted surface roughness of Inconel 718 parts. Unlike prior approaches, it incorporates spatial surface characteristics for improved accuracy.
Samsul Mahmood, Bart Raeymaekers
wiley +1 more source
International Journal of Antennas and Propagation, 2016 A numerical electromagnetic method based on the physical optics with physical optics method (PO-PO) is employed to calculate backscattered returns from a missile-like target above sea surface. Surfaces are time-varying Monte Carlo simulations initialized
Ke Li, Lixin Guo, Juan Li
doaj +1 more source
Performance of a hybrid Monte Carlo‐Pencil Beam dose algorithm for proton therapy inverse planning [PDF]
, 2017 Ana María Barragán Montero +4 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.A charge‐domain ternary content‐addressable memory using one capacitor one nanoelectromechanical memory switch (1C‐1N TCAM) is proposed for energy‐efficient, high‐reliability computations. Integrated with the back‐end‐of‐line process, the 1C‐1N TCAM leverages the air gap capacitance to achieve a high capacitance ratio and ternary functionality.
Jin Wook Lee +5 more
wiley +1 more source
Parallel Hybrid Monte Carlo Algorithms for Matrix Computations [PDF]
, 2005 Vassil Alexandrov +5 more
openalex +1 more source
Advanced Intelligent Systems, EarlyView.Legged robots have advanced in environmental interaction through contact, but most works rely on fixed contact sequences. This work presents a new method based on an indirect optimization method for legged robots to automatically generate contact sequences for complex movements.
Yaowei Chen, Jie Zhang, Ming Lyu
wiley +1 more source
A Hybrid Monte‐Carlo sampling smoother for four‐dimensional data assimilation [PDF]
, 2016 Ahmed Attia, Vishwas Rao, Adrian Sandu
openalex +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Advanced Intelligent Systems, EarlyView.Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
تحقیقات بازار یابی نوین, 2015 Making decision to choose the appropriate target market is one of the key decisions in the success of firms, which has direct effect in the amount of their profits.
Amir Kariznoee +2 more
doaj
CO2 Adsorption on Mesoporous Silica Using Response Surface Methodology (RSM)
Asia-Pacific Journal of Chemical Engineering, EarlyView.ABSTRACT The aim of the current study is to investigate the CO2 adsorption on the mesoporous silica. The adsorbent was characterized by XRD, TEM, SEM, and N2 adsorption desorption. The adsorption isotherms of carbon dioxide (CO2) on the silica were investigated using a static volumetric method at various temperatures.
Hedi Jedli +4 more
wiley +1 more source