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Artículo
Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning
(IEEE, 2023)
Electrification of transportation systems is increasing, in particular city buses raise enormous potential. Deep understanding of real-world driving data is essential for vehicle design and fleet operation. Various ...
Artículo
Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression
(MDPI, 2023)
The widespread electrification of public transportation is increasing and is a powerful way to reduce greenhouse gas (GHG) emissions. Using real-world driving data is crucial for vehicle design and efficient fleet ...
Artículo
On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights
(Frontiers Media, 2018)
In computational neuroscience, synaptic plasticity learning rules are typically studied using the full 64-bit floating point precision computers provide. However, for dedicated hardware implementations, the precision used ...
Artículo
Neuromuscular disease classification system
(Spie-soc photo-optical instrumentation engineers, 2013)
Diagnosis of neuromuscular diseases is based on subjective visual assessment of biopsies from patients by the pathologist specialist. A system for objective analysis and classification of muscular dystrophies and ...