Results 231 to 240 of about 31,007 (299)

Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]

Quantum Mach Intell
Lim D, Doriguello JF, Rebentrost P.
europepmc   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

Civil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Solving standard quadratic optimization problems via semidefinite and copositive programming.

Klerk, E. de, Bomze, I.M.
core  

Optimization of unit commitment considering multiple stochastic factors and interruptible load under chance constraints. [PDF]

Sci Rep
Ding B, Zhao M, Qin X, Chen S.
europepmc   +1 more source

Exploring Tradeoffs in Syngas Production With Solid‐Oxide Electrolysis via Multi‐Objective Optimization

Chemie Ingenieur Technik, EarlyView.
This work applies multi‐objective optimization to investigate trade‐offs between different objectives in syngas production with solid‐oxide cell co‐electrolysis. Two system designs are investigated. By systematically exploring tradeoffs between different objectives, insights, and comparisons of the operation of these designs are achieved.
Gbenga Jerome, Victor Selmert, An Phuc Dam, Nicolas Kruse, Leandros Paschalidis, Remzi Can Samsun, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Optimized inverse kinematics solutions for a 6-DOF robot. [PDF]

Sci Rep
Bayoume MO, Abdelgeliel M, Saber E, El-Gamal H.   +3 more
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

A linear programming reformulation of the standard quadratic optimization problem.

Klerk, E. de, Pasechnik, D.V.
core  

Family psychoeducation to support patients with psychotic illness: two-year outcomes from a pre-post longitudinal pilot study. [PDF]

Front Psychiatry
Tsisar R, Zentner KE, Shettell K, Abba-Aji A, Robles M.   +4 more
europepmc   +1 more source

Antisolvent crystallization of lithium hydroxide monohydrate: Significant factors and kinetics analysis

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Crystallization is the final stage in lithium hydroxide monohydrate (LiOH · H2O) production, and antisolvent crystallization offers a lower‐energy route compared with evaporative methods. In this study, we investigated bench‐scale ethanol‐based antisolvent crystallization of LiOH · H2O, and identified the significant impact parameter via a ...
Chentao He, Liuyin Xia
wiley   +1 more source