WORKFLOW

作品数：295被引量：211H指数：6
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Predicting outcomes using neural networks in the intensive care unit
《World Journal of Clinical Cases》2025年第11期1-11,共11页Gumpeny R Sridhar Venkat Yarabati Lakshmi Gumpeny 
Patients in intensive care units(ICUs)require rapid critical decision making.Modern ICUs are data rich,where information streams from diverse sources.Machine learning(ML)and neural networks(NN)can leverage the rich da...
关键词：Large language models HALLUCINATIONS Supervised learning Unsupervised learning Convoluted neural networks BLACK-BOX WORKFLOW 
InvDesFlow: An AI-Driven Materials Inverse Design Workflow to Explore Possible High-Temperature Superconductors
《Chinese Physics Letters》2025年第4期85-98,共14页Xiao-Qi Han Zhenfeng Ouyang Peng-Jie Guo Hao Sun Ze-Feng Gao Zhong-Yi Lu 
financially supported by the National Natural Science Foundation of China(Grant Nos.62476278,12434009,and 12204533);the National Key R&D Program of China(Grant No.2024YFA1408601);the Innovation Program for Quantum Science and Technology(Grant No.2021ZD0302402)。
The discovery of new superconducting materials,particularly those exhibiting high critical temperature(Tc),has been a vibrant area of study within the field of condensed matter physics.Conventional approaches primaril...
关键词：physical intuition superconducting materialsparticularly condensed matter physicsconventional high temperature superconductors AI driven materials exploration inverse design 
Efficient Resource Allocation in Cloud IaaS: A Multi-Objective Strategy for Minimizing Workflow Makespan and Cloud Resource Costs
《Open Journal of Applied Sciences》2025年第1期147-167,共21页Jean Edgard Gnimassoun Dagou Dangui Augustin Sylvain Legrand Koffi Akanza Konan Ricky N’dri 
The ease of accessing a virtually unlimited pool of resources makes Infrastructure as a Service (IaaS) clouds an ideal platform for running data-intensive workflow applications comprising hundreds of computational tas...
关键词：Cloud Infrastructure Multi-Objective Scheduling Resource Cost Optimization Resource Utilization Scientific Workflows 
Cost-aware cloud workflow scheduling using DRL and simulated annealing
《Digital Communications and Networks》2024年第6期1590-1599,共10页Yan Gu Feng Cheng Lijie Yang Junhui Xu Xiaomin Chen Long Cheng 
supported by the Fundamental Research Funds for the Central Universities(2023JC004 and 2023YQ002)。
Cloud workloads are highly dynamic and complex,making task scheduling in cloud computing a challenging problem.While several scheduling algorithms have been proposed in recent years,they are mainly designed to handle ...
关键词：Cloud computing Deep reinforcement learning Simulated annealing algorithm Job scheduling WORKFLOW 
An automatic workflow for the quantitative evaluation of bit wear based on computer vision
《Petroleum Science》2024年第6期4376-4390,共15页Dong-Han Yang Xian-Zhi Song Zhao-Peng Zhu Tao Pan Long Tian Lin Zhu 
the National Key Research and Development Project(2019YFA0708300);the Strategic Cooperation Technology Projects of CNPC and CUPB(ZLZX 2020-03);the CNPC Science and Technology Innovation Fund(No.2022DO02-0308);the Distinguished Young Foundation of National Natural Science Foundation of China(No.52125401)for their financial support。
As global oil exploration ventures into deeper and more complex territories,drilling bit wear and damage have emerged as significant constraints on drilling efficiency and safety.Despite the publication of official bi...
关键词：Bit wear evaluation Computer vision Drillingbit information database 
An innovative machine learning workflow to research China’s systemic financial crisis with SHAP value and Shapley regression
《Financial Innovation》2024年第1期1875-1914,共40页Da Wang YingXue Zhou 
funded by National Social Science Fund of China(No.22AGJ006).
This study proposed a cutting-edge,multistep workflow and upgraded it by addressing its flaw of not considering how to determine the index system objectively.It then used the updated workflow to identify the probabili...
关键词：China Machine learning SHAP value Shapley regression Systemic financial crisis 
3D printing materials and 3D printed surgical devices in oral and maxillofacial surgery:design,workflow and effectiveness
《Regenerative Biomaterials》2024年第6期20-41,共22页Xiaoxiao Wang Min Mu Jiazhen Yan Bo Han Rui Ye Gang Guo 
supported by National Natural Sciences Foundation of China(Nos.81400522,31971308 and U1903211);Science and Technology Planning Project of Shihezi University(2023AB047);Sichuan Science and Technology Program(2022YFS0007).
Oral and maxillofacial surgery is a specialized surgical field devoted to diagnosing and managing conditions affecting the oral cavity,jaws,face and related structures.In recent years,the integra-tion of 3D printing t...
关键词：3D printing oral and maxillofacial surgery patient-specific implants surgical guides SPLINTS 
Workflow for treating inadvertent arterial placement of the central venous catheter
《Journal of Geriatric Cardiology》2024年第11期1096-1098,共3页Joho Tokumine Keisuke Fujimaki Kiyoshi Moriyama Tomoko Yorozu 
We read the article“How to manage the malposition of deep vein catheterization into the artery”[1]with keen interest.However,we have several concerns with the proposed algorithm.First,the site of catheter misplaceme...
关键词：CATHETER CLOSURE instance 
An active learning workflow for predicting hydrogen atom adsorption energies on binary oxides based on local electronic transfer features
《Green Energy & Environment》2024年第10期1489-1496,共8页Wenhao Jing Zihao Jiao Mengmeng Song Ya Liu Liejin Guo 
supported by the National Natural Science Foundation of China(No.52488201);the Natural Science Basic Research Program of Shaanxi(No.2024JC-YBMS-284);the Key Research and Development Program of Shaanxi(No.2024GHYBXM-02);the Fundamental Research Funds for the Central Universities.
Machine learning combined with density functional theory(DFT)enables rapid exploration of catalyst descriptors space such as adsorption energy,facilitating rapid and effective catalyst screening.However,there is still...
关键词：Machine learning Adsorption energy Binary oxide Electron transfer Active learning 
Artificial intelligence enabled smart design and manufacturing of advanced materials:The endless Frontier in AI^(+) era被引量：1
《Materials Genome Engineering Advances》2024年第3期18-37,共20页William Yi Wang Suyang Zhang Gaonan Li Jiaqi Lu Yong Ren Xinchao Wang Xingyu Gao Yanjing Su Haifeng Song Jinshan Li 
funded by the National Basic Scientific Research Project of China(No.JCKY2020607B003);the Joint Strategy Research&Consulting Project supported by the Chinese Academy of Engineering and National Natural Science Foundation of China(No.2022-ZCQ-03).
Future-oriented Science&Technology(S&T)Strategies trigger the innovative developments of advanced materials,providing an envision to the significant progress of leading-/cutting-edge science,engineering,and technologi...
关键词：AI agent AI for materials science auto-coding high-throughput investigations WORKFLOW 
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