Results 171 to 180 of about 29,055 (302)

Shapley value-driven superior subset selection algorithm for carbon price interval forecast combination. [PDF]

Sci Rep
Yang J, Chen L, Chen H.
europepmc   +1 more source

The Shapley Value for Partition Function Form Games

Different axiomatic systems for the Shapley value can be found in the literature.For games with a coalition structure, the Shapley value also has been axiomatized in several ways.In this paper, we discuss a generalization of the Shapley value to the ...
Pham Do, K.H., Norde, H.W.
core  

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source

Protocol to explain support vector machine predictions via exact Shapley value computation. [PDF]

STAR Protoc
Mastropietro A, Bajorath J.
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

Research on benefit allocation based on multi-weight H-Shapley value: A case study of express logistics sharing. [PDF]

PLoS One
Wang C, Chen J, Yu X.
europepmc   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza, Raja Muhammad Afzal, Felipe Gomes Camacho, Nader Mahinpey   +3 more
wiley   +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 road data assets revenue allocation model based on a modified Shapley value approach considering contribution evaluation. [PDF]

Sci Rep
Li S, Chu L, Wang J, Zhang Y.
europepmc   +1 more source

An application of the Shapley value to the analysis of co-expression networks. [PDF]

Appl Netw Sci, 2018
Cesari G, Algaba E, Moretti S, Nepomuceno JA.   +3 more
europepmc   +1 more source