Results 141 to 150 of about 324,181 (265)

A stochastic programming framework for Nash bargaining in oligopolistic industrial gas markets with customer contracts

AIChE Journal, EarlyView.
Abstract Mature industries, such as the industrial gases sector, often evolve into oligopolistic markets, which can amplify their susceptibility to market uncertainties. In this work, we propose a two‐stage stochastic Nash bargaining in industrial gases market oligopolies, accounting for electricity price and demand uncertainties.
Asimina Marousi, Jose M. Pinto, Lazaros G. Papageorgiou, Vassilis M. Charitopoulos   +3 more
wiley   +1 more source

Estimation of discrete mixed Poisson-Erlang distribution with applications to medical data. [PDF]

PLoS One
Mosilhy MA, Aljeddani SMA, Abu-Moussa MH.   +2 more
europepmc   +1 more source

2D population balance modeling and ML‐based multi‐objective optimization for the crystallization process of resveratrol

AIChE Journal, EarlyView.
Abstract Crystallization is critical in pharmaceutical manufacturing, influencing active pharmaceutical ingredient (API) purity and processability. This study models the cooling crystallization of resveratrol in a water‐ethanol solvent using a two‐dimensional population balance model (2D‐PBM). Experimental data from Focused Beam Reflectance Measurement
Álmos Orosz, Monika Neal, Rekha Rao, Christine Roberts, Botond Szilágyi, Zoltán K. Nagy   +5 more
wiley   +1 more source

A novel method for approximate solution of two point non local fractional order coupled boundary value problems. [PDF]

PLoS One
Tadoummant L, Khalil H, Echarggaoui R, Aljohani S, Mlaiki N.   +4 more
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Discussing the epidemiology of COVID-19 model with the effective numerical scheme. [PDF]

Sci Rep
Aljohani A, Mustafa S, Khan SA, Alhushaybari A, Mukalazi H.   +4 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Control technology research of building wall spraying robot. [PDF]

Sci Rep
Xingyu W, Zining X.
europepmc   +1 more source

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

An efficient elliptic curve-based deterministic measurement matrix for micro-seismic data acquisition. [PDF]

PLoS One
Liu H, Ge G, Jiang Z, Chen X.
europepmc   +1 more source