ENSEMBLE

作品数:883被引量:1531H指数:16
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Ensemble of Deep Learning with Crested Porcupine Optimizer Based Autism Spectrum Disorder Detection Using Facial Images
《Computers, Materials & Continua》2025年第5期2793-2807,共15页Jagadesh Balasubramani Surendran Rajendran Mohammad Zakariah Abeer Alnuaim 
Researchers supporting Project number(RSPD2025R1107),King Saud University,Riyadh,Saudi Arabia.
Autism spectrum disorder(ASD)is a multifaceted neurological developmental condition that manifests in several ways.Nearly all autistic children remain undiagnosed before the age of three.Developmental problems affecti...
关键词:Autism spectrum disorder ensemble learning crested porcupine optimizer facial images computeraided diagnosis 
FISHER INFORMATION AMONG β-ENSEMBLES
《Acta Mathematica Scientia》2025年第2期493-513,共21页Yutao MA 
supported by the NSFC(12171038)and 985 Projects。
In this paper,we consider the Fisher informations among three classical type β-ensembles when β>0 scales with n satisfying lim βn=∞.We offer the exact order of-the corresponding two Fisher informations,which indic...
关键词:β-Hermite ensemble βB-Laguerre ensemble β-Jacobi ensemble Fisher information Tracy-Widom law 
Understanding the initial conditions contributing to the rapid intensification of typhoons through ensemble sensitivity analysis
《Atmospheric and Oceanic Science Letters》2025年第2期36-42,共7页Yixuan Ren Lili Lei Jian-Feng Gu Zhe-Min Tan Yi Zhang 
supported by the National Natural Science Foundation of China[grant numbers 42192553 and 41922036];the Fundamental Research Funds for the Central Universities–Cemac“GeoX”Interdisciplinary Program[grant number 020714380207]。
While steady improvements have been achieved for the track forecasts of typhoons,there has been a lack of improvement for intensity forecasts.One challenge for intensity forecasts is to capture the rapid intensificati...
关键词:TYPHOON Rapid intensification Ensemble sensitivity analysis Composite sensitivity 
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) 
Heart Disease Prediction Model Using Feature Selection and Ensemble Deep Learning with Optimized Weight
《Computer Modeling in Engineering & Sciences》2025年第4期875-909,共35页Iman S.Al-Mahdi Saad M.Darwish Magda M.Madbouly 
Heart disease prediction is a critical issue in healthcare,where accurate early diagnosis can save lives and reduce healthcare costs.The problem is inherently complex due to the high dimensionality of medical data,irr...
关键词:Heart disease prediction feature selection ensemble deep learning optimization genetic algorithm(GA) ensemble deep learning tunicate swarm algorithm(TSA) feature selection 
EACNet:Ensemble adversarial co-training neural network for handling missing modalities in MRI images for brain tumor segmentation
《Journal of Measurement Science and Instrumentation》2025年第1期11-25,共15页RAMADHAN Amran Juma CHEN Jing PENG Junlan 
supported by Gansu Natural Science Foundation Programme(No.24JRRA231);National Natural Science Foundation of China(No.62061023);Gansu Provincial Education,Science and Technology Innovation and Industry(No.2021CYZC-04)。
Brain tumor segmentation is critical in clinical diagnosis and treatment planning.Existing methods for brain tumor segmentation with missing modalities often struggle when dealing with multiple missing modalities,a co...
关键词:deep learning magnetic resonance imaging(MRI) medical image analysis semantic segmentation segmentation accuracy image synthesis 
Explainability enhanced liver disease diagnosis technique using tree selection and stacking ensemble-based random forest model
《Informatics and Health》2025年第1期17-40,共24页Mohammad Mamun Safiul Haque Chowdhury Muhammad Minoar Hossain M.R.Khatun Sadiq Iqbal 
Background:Liver disease(LD)significantly impacts global health,requiring accurate diagnostic methods.This study aims to develop an automated system for LD prediction using machine learning(ML)and explainable artifici...
关键词:Liver disease DIAGNOSIS Machine learning Explainable artificial intelligence(XAI) Feature optimization 
Ensemble Deep Learning Approaches in Health Care:A Review
《Computers, Materials & Continua》2025年第3期3741-3771,共31页Aziz Alotaibi 
funded by Taif University,Saudi Arabia,project No.(TU-DSPP-2024-263).
Deep learning algorithms have been rapidly incorporated into many different applications due to the increase in computational power and the availability of massive amounts of data.Recently,both deep learning and ensem...
关键词:Deep learning ensemble learning deep ensemble learning deep learning approaches for health care health care 
Designing and Evaluating an Ensemble Reasoning-based Clinical Decision Support System
《Data Intelligence》2025年第1期1-39,共39页Sabbir M.Rashid Deborah L.McGuinness 
A clinical decision support system(CDSS)can help physicians make clinical decisions,such as differential diagnosis,therapy planning,or plan critiquing.To make such informed decisions,a physician may need to keep track...
关键词:Semantic web Ensemble reasoning ABDUCTION Multimodal reasoning Clinical decision support system Knowledge graph Personal health knowledge graph 
LIU YUANYUAN: SINGING FOR THE NEW ERA
《Women of China》2025年第3期12-15,共4页
Liu Yuanyuan,a soprano with the China Ethnic Song and Dance Ensemble,is a member of the 14th National Committee of the Chinese People's Political Consultative Conference(CPPCC),and a member of the 13th Executive Commi...
关键词:DANCE COMBINE ENSEMBLE 
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