MODELS

作品数:1537被引量:2804H指数:18
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相关作者:左伟孙京瑞程登发田喆陈林更多>>
相关机构:中国科学院清华大学东南大学南京大学更多>>
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Machine learning-based models for prediction of in-hospital mortality in patients with dengue shock syndrome
《World Journal of Methodology》2025年第3期89-99,共11页Luan Thanh Vo Thien Vu Thach Ngoc Pham Tung Huu Trinh Thanh Tat Nguyen 
BACKGROUND Severe dengue children with critical complications have been attributed to high mortality rates,varying from approximately 1%to over 20%.To date,there is a lack of data on machine-learning-based algorithms ...
关键词:Dengue shock syndrome Dengue mortality Machine learning Supervised models Logistic regression Random forest K-nearest neighbors Support vector machine Extreme Gradient Boost Shapley addictive explanations 
Offline model-based reinforcement learning with causal structured world models
《Frontiers of Computer Science》2025年第4期77-90,共14页Zhengmao ZHU Honglong TIAN Xionghui CHEN Kun ZHANG Yang YU 
Model-based methods have recently been shown promising for offline reinforcement learning(RL),which aims at learning good policies from historical data without interacting with the environment.Previous model-based off...
关键词:reinforcement learning offline reinforcement learning model-based reinforcement learning causal discovery 
Model’s parameter sensitivity assessment and their impact on Urban Densification using regression analysis
《Geography and Sustainability》2025年第2期143-156,共14页Anasua Chakraborty Mitali Yeshwant Joshi Ahmed Mustafa Mario Cools Jacques Teller 
funded by the INTER program and cofunded by the Fond National de la Recherche,Luxembourg(FNR)and the Fund for Scientific Research-FNRS,Belgium(F.R.S-FNRS),T.0233.20-‘Sustainable Residential Densification’project(SusDens,2020–2024).
The impact of different global and local variables in urban development processes requires a systematic study to fully comprehend the underlying complexities in them.The interplay between such variables is crucial for...
关键词:Urban densification Sensitivity analysis Multinomial logistic regression Stepwise regression 
Handy"tools"for studying brain tumors
《Cancer Pathogenesis and Therapy》2025年第2期87-88,共2页Gangfeng Yu Fanghui Lu Liangxue Zhou 
Owing to the complexities associated with the central nervous system,establishing research and evaluation models has posed challenges in the field of brain tumor research.This has significantly hindered the developmen...
关键词:Brain tumor Brain metastases models 3D coculture model Tumor microenvironment 
Enhancing Educational Materials: Integrating Emojis and AI Models into Learning Management Systems
《Computers, Materials & Continua》2025年第5期3075-3095,共21页Shaya A.Alshaya 
funded by the Deanship of Postgraduate Studies and Scientific Research at Majmaah University,grant number[R-2025-1637].
The integration of visual elements,such as emojis,into educational content represents a promising approach to enhancing student engagement and comprehension.However,existing efforts in emoji integration often lack sys...
关键词:Emoji Integration artificial intelligence in education learning management systems educational materials enhancement student engagement 
Leveraging Transformers for Detection of Arabic Cyberbullying on Social Media: Hybrid Arabic Transformers
《Computers, Materials & Continua》2025年第5期3165-3185,共21页Amjad A.Alsuwaylimi Zaid S.Alenezi 
funded by the Deanship of Scientific Research at Northern Border University,Arar,Saudi Arabia,through the project number“NBU-FFR-2025-1197-01”.
Cyberbullying is a remarkable issue in the Arabic-speaking world,affecting children,organizations,and businesses.Various efforts have been made to combat this problem through proposed models using machine learning(ML)...
关键词:CYBERBULLYING TRANSFORMERS pre-trained models arabic cyberbullying detection deep learning 
Second Opinions
《China Weekly》2025年第5期18-21,共4页Niu He 
The cyber physician will scan you now:how Al models are enhancing diagnostics and treatment in hospitals,After studying a MRI test on February 13 at Beijing Children^Hospital(BCH),13 top pediatricians were surprised w...
关键词:al models al pediatrician second opinions AI models studying mri test cyber physician diagnostics treatment 
Cosmography of non-interacting ghost and generalized ghost dark energy models in f(Q)gravity
《Communications in Theoretical Physics》2025年第4期102-116,共15页M Sharif Madiha Ajmal 
This paper aims to develop non-interacting ghost dark energy and generalized ghost dark energy models within the framework of f(Q)theory using the correspondence scheme.We use pressureless matter and a power-law scale...
关键词:cosmological evolution dark energy models f(Q)gravity 
Applications of Advanced Optimized Neuro Fuzzy Models for Enhancing Daily Suspended Sediment Load Prediction
《Computer Modeling in Engineering & Sciences》2025年第4期1249-1272,共24页Rana Muhammad Adnan Mo Wang Adil Masood Ozgur Kisi Shamsuddin Shahid Mohammad Zounemat-Kermani 
supported by the National Natural Science Foundation of China(52350410465);the General Projects of Guangdong Natural Science Research Projects(2023A1515011520).
Accurate daily suspended sediment load(SSL)prediction is essential for sustainable water resource management,sediment control,and environmental planning.However,SSL prediction is highly complex due to its nonlinear an...
关键词:Suspended sediment load prediction NEURO-FUZZY gradient-based optimizer ANFIS 
Evaluating tree branch angle measurements of European beech using terrestrial laser scanning
《Forest Ecosystems》2025年第2期220-230,共11页Xi Peng Kim Calders Louise Terryn Hans Verbeeck 
supported by the Chinese Scholarship Council under Grant 202106910006.
Branch angles are an important plant morphological trait affecting light interception within forest canopies.However,studies on branch angles have been limited due to the time-consuming nature of manual measurements u...
关键词:Branch angle Measurement methods Quantitative structure models LAPLACIAN Semantic-laplacian Terrestrial laser scanning 
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