Not from Scratch: Predicting Thermophysical Properties through Model-Based Transfer Learning Using Graph Convolutional Networks
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c00846
Abstract: In this study, a framework for the prediction of thermophysical properties based on transfer learning from existing estimation models is explored. The predictive capabilities of conventional group-contribution methods and traditional machine-learning approaches rely heavily on… read more here.
Keywords: scratch predicting; based transfer; transfer learning; thermophysical properties ... See more keywords
Low consumption two-terminal artificial synapse based on transfer-free single-crystal MoS2 memristor.
Sign Up to like & getrecommendations! Published in 2020 at "Nanotechnology"
DOI: 10.1088/1361-6528/ab82d6
Abstract: Both synaptic emulators and brain-like calculation demand an energy-efficient and bio-realistic device where two-dimensional materials have been proven as a promising competitor. Lateral memristors based on transfer-free single-crystal MoS2 with single layer grown by chemical… read more here.
Keywords: crystal mos2; transfer free; single crystal; free single ... See more keywords
PreRBP-TL: Prediction of Species-Specific RNA-Binding Proteins Based on Transfer Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac106
Abstract: MOTIVATION RNA-binding proteins (RBPs) play crucial roles in post-transcriptional regulation. Accurate identification of RBPs helps understand gene expression, regulation, etc. In recent years, some computational methods were proposed to identify RBPs. However, these methods fail… read more here.
Keywords: rna binding; species specific; based transfer; binding proteins ... See more keywords
Tool Wear Monitoring Based on Transfer Learning and Improved Deep Residual Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221994
Abstract: Considering the complex structure weight of the existing tool wear state monitoring model based on deep learning, prone to over-fitting and requiring a large amount of training data, a monitoring method based on Transfer Learning… read more here.
Keywords: residual network; network; deep residual; improved deep ... See more keywords
Through-Wall Human Motion Recognition Based on Transfer Learning and Ensemble Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3070374
Abstract: Human motion recognition based on ultra-wideband through-the-wall radar (UWB TWR) (a radar whose fractional bandwidth of the radar transmitted signal is bigger than 0.25) is faced with the problems of too few samples and the… read more here.
Keywords: recognition; motion recognition; based transfer; model ... See more keywords
An Evaluation of Alternative Market‐Based Transfer Prices
Sign Up to like & getrecommendations! Published in 2018 at "Contemporary Accounting Research"
DOI: 10.1111/1911-3846.12358
Abstract: We investigate a transfer pricing problem between two divisions within a decentralized firm. An upstream division produces an intermediate good that is transferred to another division within the firm and is also sold in an… read more here.
Keywords: market based; market; transfer; based transfer ... See more keywords
Neural Network-Based Transfer Learning of Manipulator Inverse Displacement Analysis
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Mechanisms and Robotics"
DOI: 10.1115/1.4050622
Abstract: In this paper, the feasibility of applying transfer learning for modeling robot manipulators is examined. A neural network-based transfer learning approach of inverse displacement analysis of robot manipulators is studied. Neural networks with different structures… read more here.
Keywords: transfer learning; network based; transfer; neural network ... See more keywords
An Improved Load Forecasting Method Based on the Transfer Learning Structure under Cyber-Threat Condition
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1696663
Abstract: Smart grid is regarded as an evolutionary regime of existing power grids. It integrates artificial intelligence and communication technologies to fundamentally improve the efficiency and reliability of power systems. One serious challenge for the smart… read more here.
Keywords: transfer learning; based transfer; power; smart grid ... See more keywords
Rule and Exemplar-based Transfer in Category Learning
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Cognitive Neuroscience"
DOI: 10.1162/jocn_a_01963
Abstract: Abstract We compared the neural systems involved in transfer to novel stimuli via rule application versus exemplar processing. Participants learned a categorization task involving abstraction of a complex rule and then categorized different types of… read more here.
Keywords: rule; based transfer; exemplar based; rule exemplar ... See more keywords
A two-stage renal disease classification based on transfer learning with hyperparameters optimization
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Medicine"
DOI: 10.3389/fmed.2023.1106717
Abstract: Renal diseases are common health problems that affect millions of people around the world. Among these diseases, kidney stones, which affect anywhere from 1 to 15% of the global population and thus; considered one of… read more here.
Keywords: grade grade; based transfer; transfer learning; pre ... See more keywords
A Fireworks Algorithm Based on Transfer Spark for Evolutionary Multitasking
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2019.00109
Abstract: In recent years, lots of multifactorial optimization evolutionary algorithms have been developed to optimize multiple tasks simultaneously, which improves the overall efficiency using implicit genetic complementarity between different tasks. In this paper, a novel multitask… read more here.
Keywords: evolutionary multitasking; algorithm based; transfer; based transfer ... See more keywords