Results 131 to 140 of about 13,945 (266)

Research on Loosening Fault Diagnosis Method of Escalator Drive Mainframe Anchor Bolts Based on Improved High-Strength Denoising RCDAE Model. [PDF]

Sensors (Basel)
Chen D, Chen M, Lang B, Wang X, Xu Q, Shen J, Liang L, Luo Q.   +7 more
europepmc   +1 more source

'LABLIB' - Everyman's Tool to Find Suitable Language Teaching Materials [PDF]

, 1992
Kari, Kimmo, Lindqvist, Pirkko
core   +2 more sources

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Enabling decision-making and innovation in learning health systems through simulation modelling. [PDF]

Healthc Manage Forum
Lessard L, Sauré A.
europepmc   +1 more source

Testing and validating the CERES-wheat (Crop Estimation through Resource and Environment Synthesis-wheat) model in diverse environments [PDF]

CERES-Wheat is a computer simulation model of the growth, development, and yield of spring and winter wheat. It was designed to be used in any location throughout the world where wheat can be grown. The model is written in Fortran 77, operates on a daily
Godwin, D. C., Otter-Nacke, S., Ritchie, J. T.   +2 more
core   +1 more source

Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience

Advanced Intelligent Systems, EarlyView.
An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis, Philip R. LeDuc, Warren C. Ruder   +2 more
wiley   +1 more source

The peak shifting electricity consumption management and influencing factors of smart grid from recurrent neural network model and deep learning. [PDF]

Sci Rep
Wang F, Huang D, Lu W.
europepmc   +1 more source

Numerical analysis of magnetohydrodynamics Casson nanofluid flow with activation energy, Hall current and thermal radiation. [PDF]

Sci Rep, 2023
Suresh Kumar Y, Hussain S, Raghunath K, Ali F, Guedri K, Eldin SM, Khan MI.   +6 more
europepmc   +1 more source

Mainframe Relevance in Modern IT: How a 50+ year old computing platform can still play a key role in today’s businesses [PDF]

, 2016
Newcombe, Ian Thomas
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source