Results 61 to 70 of about 6,556,524 (264)

How to Dynamically Schedule Multiple Knowledge-Intensive Projects Under Uncertainty: An Approximate Dynamic Programming Approach

Systems
Knowledge-intensive projects in research and development (R&D), software, and high-technology sectors are delivered by knowledge workers who each command several skills.
Hongbo Li, Wei Chen, Zehui Wei, Qingkang Zhu, Xianchao Zhang   +4 more
doaj   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

Advanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo, Luyang Wang, Zhiling Yu, Xiaowen Chen, Xiaoyu Wang, Ya‐Hui Jia, Thibaud Denneulin, Yu Han, Rafal E. Dunin‐Borkowski, Fengshan Zheng, Qi Liu   +10 more
wiley   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Online route planning based on mMarkov survival model and PSO algorithm

四川大学学报. 自然科学版, 2018
Aiming at the problem of route planning for aircraft under unknown condition, the online planning strategy is adopted to ensure that the aircraft can plan the future path in real time, and Markov survival model is introduced to obtain the survival ...
CUI Shu-Ting, ZHAO Cheng-Ping, ZHOU Xin-Zhi, NING Qian, YAN Hua   +4 more
doaj  

Training a Hidden Markov Model-Based Knowledge Model for Autonomous Manufacturing Resources Allocation in Smart Shop Floors

IEEE Access, 2019
As the manufacturing industry is heading toward the fourth industrial revolution, smart manufacturing is born at the right moment. By integrating new information technologies, such as the Internet of Things, the cyber-physical system (CPS), big data, and
Kai Ding, Xudong Zhang, Felix T. S. Chan, Ching-Yuen Chan, Chuang Wang   +4 more
doaj   +1 more source

Information-Geometric Markov Chain Monte Carlo Methods Using Diffusions [PDF]

, 2014
Recent work incorporating geometric ideas in Markov chain Monte Carlo is reviewed in order to highlight these advances and their possible application in a range of domains beyond statistics. A full exposition of Markov chains and their use in Monte Carlo
Livingstone, Samuel, Samuel Livingstone, Girolami, M, Mark Girolami, Girolami, Mark, Livingstone, S   +5 more
core   +1 more source

Value of Information of Improved Traceability in Fresh Produce Markets

Agribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris, Mark R. Manfredo, Michael N. Kozicki   +2 more
wiley   +1 more source

A CNN-PPO Deep Reinforcement Learning Method for Maritime Target Motion Prediction

Applied Sciences
In recent years, with the continuous development of the global economy, maritime transportation has become an essential mode of transportation for both domestic and international trade, making it an urgent task for countries around the world to improve ...
Xiao Zheng, Xiaodong Peng, Runnan Qin, Wenming Xie, Lie Qiang   +4 more
doaj   +1 more source

On entropy-constrained Gaussian channel capacity via the moment problem

We study the capacity of the power-constrained additive Gaussian channel with an entropy constraint at the input. In particular, we characterize this capacity in the low signal-to-noise ratio regime, as a corollary of the following general result on a ...
Shamai, Shlomo, Girish, Adway, Telatar, Emre   +2 more
core   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

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, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source