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Diagnosis of Parkinson's disease from hand drawing utilizing hybrid models.
Parkinsonism & Related Disorders, 2022Parkinson's disease is a nervous system abnormality marked by decreased dopamine levels in the brain. Parkinson's disease inhibits one's ability to move. Speech difficulty, changes in movement and handwriting, and other symptoms are common with Parkinson'
V. P +4 more
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Choosing among correlative, mechanistic and hybrid models of species' niche and distribution.
Integrative Zoology, 2021Different models are available to estimate species' niche and distribution. Mechanistic and correlative models have different underlying conceptual bases, thus generating different estimates of a species' niche and geographic extent. Hybrid models, which
Luara Tourinho, M. M. Vale
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Optimization of statistical and machine learning hybrid models for groundwater potential mapping
Geocarto International, 2021Determining areas of high groundwater potential is important for exploitation, management, and protection of water resources. This study assesses the spatial distribution of groundwater potential in the Zarrinehroud watershed of Kurdistan Province, Iran ...
Peyman Yariyan +5 more
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Recommendation of Project Management Practices: A Contribution to Hybrid Models
IEEE transactions on engineering management, 2021Dealing with an uncertain and dynamic environment when facing multiple and fast-paced challenges forces professionals to adopt agile practices in different environments, resulting in the use of hybrid project management models.
Michael J. Bianchi +5 more
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Modeling hybridization kinetics
Mathematical Biosciences, 2003Formation of complementary base pairs between nucleic acids over a short region (
Wang, Jian-Ying, Drlica, Karl
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Competitive hybridization models
Physical Review E, 2010Microarray technology, in its simplest form, allows one to gather abundance data for target DNA molecules, associated with genomes or gene-expressions, and relies on hybridizing the target to many short probe oligonucleotides arrayed on a surface. While for such multiplexed reactions conditions are optimized to make the most of each individual probe ...
Vera, Cherepinsky +2 more
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Hybrid Models for Open Set Recognition
European Conference on Computer Vision, 2020Open set recognition requires a classifier to detect samples not belonging to any of the classes in its training set. Existing methods fit a probability distribution to the training samples on their embedding space and detect outliers according to this ...
Hongjie Zhang +3 more
semanticscholar +1 more source
Applied Energy, 2019
With the continuous growth of wind power integration into the electrical grid, accurate wind power forecasting is an important component in management and operation of power systems. Given the challenging nature of wind power forecasting, various methods
Zheng Qian +3 more
semanticscholar +1 more source
With the continuous growth of wind power integration into the electrical grid, accurate wind power forecasting is an important component in management and operation of power systems. Given the challenging nature of wind power forecasting, various methods
Zheng Qian +3 more
semanticscholar +1 more source
The Mamba in the Llama: Distilling and Accelerating Hybrid Models
Neural Information Processing SystemsLinear RNN architectures, like Mamba, can be competitive with Transformer models in language modeling while having advantageous deployment characteristics.
Junxiong Wang +4 more
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Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2010
I review a class of hybrid models of neurons that combine continuous spike-generation mechanisms and a discontinuous ‘after-spike’ reset of state variables. Unlike Hodgkin–Huxley-type conductance-based models, the hybrid spiking models have a few parameters derived from the bifurcation theory; instead of matching neuronal electrophysiology, they match ...
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I review a class of hybrid models of neurons that combine continuous spike-generation mechanisms and a discontinuous ‘after-spike’ reset of state variables. Unlike Hodgkin–Huxley-type conductance-based models, the hybrid spiking models have a few parameters derived from the bifurcation theory; instead of matching neuronal electrophysiology, they match ...
openaire +2 more sources