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基于深度学习的重质馏分油分子层次组成预测模型
《石油学报(石油加工)》2025年第2期362-370,共9页袁壮 王源 杨哲 徐伟 周鑫 赵辉 陈小博 杨朝合 林扬 
国家自然科学基金青年基金项目(22108307);化学品安全全国重点实验室开放课题资助。
随着工业大数据时代的到来,基于深度学习建立的原油分子组成预测模型具有适用范围广、构建快捷、准确性高等优点。然而,石油馏分分子层次信息标签获取困难,难以满足深度学习模型训练需求。为解决上述问题,基于商业流程模拟软件Aspen HY...
关键词:重质馏分油 分子组成 深度学习 SHapley Additive exPlanation(SHAP)解释 分子管理 
XGBoost-Liver:An Intelligent Integrated Features Approach for Classifying Liver Diseases Using Ensemble XGBoost Training Model
《Computers, Materials & Continua》2025年第4期1459-1474,共16页Sumaiya Noor Salman A.AlQahtani Salman Khan 
supported by Research Supporting Project Number(RSPD2025R585),King Saud University,Riyadh,Saudi Arabia.
The liver is a crucial gland and the second-largest organ in the human body and also essential in digestion,metabolism,detoxification,and immunity.Liver diseases result from factors such as viral infections,obesity,al...
关键词:Machine learning deep neural network SHAP(SHapley Additive exPlanation) liver disease classifica-tion SMOTE(synthetic minority over-sampling technique) 
Construction and validation of machine learning-based predictive model for colorectal polyp recurrence one year after endoscopic mucosal resection
《World Journal of Gastroenterology》2025年第11期46-62,共17页Yi-Heng Shi Jun-Liang Liu Cong-Cong Cheng Wen-Ling Li Han Sun Xi-Liang Zhou Hong Wei Su-Juan Fei 
BACKGROUND Colorectal polyps are precancerous diseases of colorectal cancer.Early detection and resection of colorectal polyps can effectively reduce the mortality of colorectal cancer.Endoscopic mucosal resection(EMR...
关键词:Colorectal polyps Machine learning Predictive model Risk factors SHapley Additive exPlanation 
From Detection to Explanation:Integrating Temporal and Spatial Features for Rumor Detection and Explaining Results Using LLMs
《Computers, Materials & Continua》2025年第3期4741-4757,共17页Nanjiang Zhong Xinchen Jiang Yuan Yao 
supported by General Scientific Research Project of Zhejiang Provincial Department of Education(Y202353247).
The proliferation of rumors on social media has caused serious harm to society.Although previous research has attempted to use deep learning methods for rumor detection,they did not simultaneously consider the two key...
关键词:Rumor detection graph convolutional neural networks recurrent neural networks large language models 
Prediction and optimization of flue pressure in sintering process based on SHAP
《International Journal of Minerals,Metallurgy and Materials》2025年第2期346-359,共14页Mingyu Wang Jue Tang Mansheng Chu Quan Shi Zhen Zhang 
supported by the General Program of the National Natural Science Foundation of China(No.52274326);the China Baowu Low Carbon Metallurgy Innovation Foundation(No.BWLCF202109);the Seventh Batch of Ten Thousand Talents Plan of China(No.ZX20220553).
Sinter is the core raw material for blast furnaces.Flue pressure,which is an important state parameter,affects sinter quality.In this paper,flue pressure prediction and optimization were studied based on the shapley a...
关键词:sintering process flue pressure shapley additive explanation PREDICTION OPTIMIZATION 
Anatomic Boundary-Aware Explanation for Convolutional Neural Networks in Diagnostic Radiology
《iRADIOLOGY》2025年第1期47-60,共14页Han Yuan 
Background:Convolutional neural networks(CNN)have achieved remarkable success in medical image analysis.However,unlike some general-domain tasks where model accuracy is paramount,medical applications demand both accur...
关键词:ATELECTASIS convolutional neural networks diagnostic radiology explainable artificial intelligence FRACTURE grad-cam integrated gradients mass PNEUMOTHORAX saliency map 
MMGCF: Generating Counterfactual Explanations for Molecular Property Prediction via Motif Rebuild
《Journal of Computer and Communications》2025年第1期152-168,共17页Xiuping Zhang Qun Liu Rui Han 
Predicting molecular properties is essential for advancing for advancing drug discovery and design. Recently, Graph Neural Networks (GNNs) have gained prominence due to their ability to capture the complex structural ...
关键词:INTERPRETABILITY Causal Relationship Counterfactual Explanation Molecular Graph Generation 
Explainable machine learning model for predicting molten steel temperature in the LF refining process
《International Journal of Minerals,Metallurgy and Materials》2024年第12期2657-2669,共13页Zicheng Xin Jiangshan Zhang Kaixiang Peng Junguo Zhang Chunhui Zhang Jun Wu Bo Zhang Qing Liu 
financially supported by the National Natural Science Foundation of China(Nos.51974023 and 52374321);the funding of State Key Laboratory of Advanced Metallurgy,University of Science and Technology Beijing(No.41621005);the Youth Science and Technology Innovation Fund of Jianlong Group-University of Science and Technology Beijing(No.20231235).
Accurate prediction of molten steel temperature in the ladle furnace(LF)refining process has an important influence on the quality of molten steel and the control of steelmaking cost.Extensive research on establishing...
关键词:ladle furnace refining molten steel temperature eXtreme gradient boosting light gradient boosting machine grey wolf op-timization SHapley Additive exPlanation 
A Diplomatic Edition of Yamāri's Pramānavārttikālankāratīkā Suparisuddhā Folios 20r5—23r4
《China Tibetology》2024年第2期82-88,共7页Li Xuezhu Li Kunrong 
In this paper,I will proceed with the diplomatic transcription of the PramānāvārttikālankāratīkāSuparisuddhā(PVATS),focusing on Folios 20r5-23r4.This section builds upon the material previously published in th...
关键词:journal EXPLANATION Sup 
Mechanism Explanation of Influence of Dry Density and Water Content on Bentonite Swelling Process
《Journal of Shanghai Jiaotong university(Science)》2024年第5期930-939,共10页LI Xiaoyue ZHENG Xinjiang 
The swelling process of bentonite is vital for judging the time required for completing the swelling,estimating the engineering safety,and organizing the construction plan.Many factors affect the swelling process,and ...
关键词:swelling process free swelling constant volume swelling swelling strain swelling pressure 
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