Results 141 to 150 of about 24,298 (249)

Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations

Записки Горного института
The objective of this study is to enhance user trust in electricity consumption forecasting systems for mining enterprises by applying explainable artificial intelligence methods that provide not only forecasts but also their justifications. The research
Pavel V. Matrenin, Alina I. Stepanova
doaj  

Development of an explainable machine learning model for predicting poststroke anxiety: A multicenter study using Shapley Additive Explanations and nomogram visualization. [PDF]

Digit Health
Lyu M, Xie Y, Li M, Hölscher C, Shen X.
europepmc   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Radiomics-based machine learning for glioma grade classification: a multicenter study with SHapley Additive exPlanations interpretability analysis. [PDF]

Transl Cancer Res
Shi Y, Jiang W, Zhou L, Shi Y, Ji X, Zheng W, Zhao H, Yao N.   +7 more
europepmc   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Machine learning and Shapley Additive exPlanations to predict metastasis of lymph nodes posterior to the recurrent laryngeal nerve in cN0 papillary thyroid carcinoma. [PDF]

Front Oncol
Zhou J, Li B, Sun T, Li D, Huang C, Gao H, Ren J, Zhuang Y, Xue S, Xiao Q, Chun L, Su X.   +11 more
europepmc   +1 more source

Efficiency and Perceptions in Public CSR: An Integrated Efficiency–Perception Analysis of Spanish Defence Delegations

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez, Manuel Caravaca‐Garratón   +1 more
wiley   +1 more source

Evaluating the methodological suitability of partial dependence plots and Shapley additive explanations for population-level interpretation of machine learning models in total joint arthroplasty. [PDF]

Arthroplasty
Joachim K, Sparks O, Perrotta A, Lin A, Gettleman B, Hamad C, Jeong S, Dingle E, Stavrakis A, Christ AB.   +9 more
europepmc   +1 more source

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

Deep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

An interpretable machine learning model using SHapley Additive exPlanations for preoperative cervical lymph node metastasis risk stratification in tongue squamous cell carcinoma: a multicenter study. [PDF]

BMC Oral Health
Li Y, Huang N, Wang L, Xiao H, Chen W, Xing Y, Nishioka T, Zhou K, Kojima I, Chen J, Ou Y, Li W.   +11 more
europepmc   +1 more source