Results 61 to 70 of about 48,213 (289)
Data-Driven Iron and Steel Inventory Control Policies
Mathematics, 2019 In this study, we investigated the optimal material inventory policy with regard to the iron and steel industry’s effort to reduce massive overstocking issues in the face of increased corporate competitiveness.
Shih-Hsien Tseng, Jia-Chen Yu
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla +4 more
wiley +1 more source
Reversible Markov decision processes and the Gaussian free field [PDF]
, 2022 Venkat Anantharam
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Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Conformal Off-Policy Evaluation in Markov Decision Processes [PDF]
, 2023 Daniele Foffano +2 more
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Advanced Experiment Design Strategies for Drug Development
Advanced Intelligent Discovery, EarlyView.Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
Semi-Markov decision process based congestion control algorithm for video transmission
Tongxin xuebao, 2014 Due to the problem that the congestion control algorithm of transmission control protocol (TCP) cannot meet the requirements of quality of experience for Internet video transmission, a semi-Markov decision process based conges-tion control algorithm for ...
Bo TIAN, Yi-min YANG, Shu-ting CAI
doaj +2 more sources
Using Markov Decision Process Model for Sustainability Assessment in Industry 4.0
IEEE AccessThe manufacturing industry is facing increasing challenges to improve sustainability performance by using Industry 4.0 technologies like big data analytics, the internet of things, and digital twins, considering their potentials.
Majid Sodachi +2 more
doaj +1 more source
Markov-Decision-Process-Assisted Consumer Scheduling in a Networked Smart Grid
IEEE Access, 2017 Many recently built residential houses and factories are equipped with facilities for converting energy from green sources, such as solar energy, into electricity.
Zhi Liu +5 more
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Advanced Intelligent Discovery, EarlyView.Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin +4 more
wiley +1 more source