skip to main content
Idioma:
Refinado por: idioma: Inglês remover Automatika remover idioma: Croatian remover
Result Number Material Type Add to My Shelf Action Record Details and Options
1
A data-driven fault detection and diagnosis method via just-in-time learning for unmanned ground vehicles
A data-driven fault detection and diagnosis method via just-in-time learning for unmanned ground vehicles
Material Type:
Artigo 		Adicionar ao Meu Espaço

A data-driven fault detection and diagnosis method via just-in-time learning for unmanned ground vehicles

Zhang, Changxin ; Xu, Xin ; Zhang, Xinglong ; Zhou, Xing ; Lu, Yang ; Zhang, Yichuan

Automatika, 2023-04, Vol.64 (2), p.277-290 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

Texto completo disponível

Citações Citado por
2
Accelerometer-based algorithm for the segmentation and classification of repetitive human movements during workouts
Accelerometer-based algorithm for the segmentation and classification of repetitive human movements during workouts
Material Type:
Artigo 		Adicionar ao Meu Espaço

Accelerometer-based algorithm for the segmentation and classification of repetitive human movements during workouts

Džaja, D. ; Čibarić, M. ; Šeketa, G. ; Magjarević, R.

Automatika, 2023-04, Vol.64 (2), p.211-224 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

Texto completo disponível

Citações Citado por
3
An automated system for electrical power symbol placement in electrical plan drawing
An automated system for electrical power symbol placement in electrical plan drawing
Material Type:
Artigo 		Adicionar ao Meu Espaço

An automated system for electrical power symbol placement in electrical plan drawing

Akgul, Bayram ; Kutucu, Hakan

Automatika, 2022-01, Vol.63 (1), p.78-89 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

Texto completo disponível

Citações Citado por
4
Classification and feature analysis of the Human Connectome Project dataset for differentiating between males and females
Classification and feature analysis of the Human Connectome Project dataset for differentiating between males and females
Material Type:
Artigo 		Adicionar ao Meu Espaço

Classification and feature analysis of the Human Connectome Project dataset for differentiating between males and females

Bozek, Jelena ; Kesedzic, Ivan ; Novosel, Leonard ; Bozek, Tomislav

Automatika, 2021-01, Vol.62 (1), p.109-117 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

Texto completo disponível

Citações Citado por
5
ERCNN-DRM: an efficient regularized convolutional neural network with a dimensionality reduction module for the classification of brain tumour in magnetic resonance images
ERCNN-DRM: an efficient regularized convolutional neural network with a dimensionality reduction module for the classification of brain tumour in magnetic resonance images
Material Type:
Artigo 		Adicionar ao Meu Espaço

ERCNN-DRM: an efficient regularized convolutional neural network with a dimensionality reduction module for the classification of brain tumour in magnetic resonance images

S, Selvin Prem Kumar ; C, Agees Kumar ; R, Jemila Rose

Automatika, 2023-01, Vol.64 (1), p.79-92 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

Texto completo disponível

Citações Citado por
6
Magnetoresistance sensor-based rotor fault detection in induction motor using non-decimated wavelet and streaming data
Magnetoresistance sensor-based rotor fault detection in induction motor using non-decimated wavelet and streaming data
Material Type:
Artigo 		Adicionar ao Meu Espaço

Magnetoresistance sensor-based rotor fault detection in induction motor using non-decimated wavelet and streaming data

Kavitha, S. ; Bhuvaneswari, N. S. ; Senthilkumar, R. ; Shanker, N. R.

Automatika, 2022-07, Vol.63 (3), p.525-541 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

Texto completo disponível

Citações Citado por

Personalize Seus Resultados

  1. Editar

Refine Search Results

Expandir Meus Resultados

  1.   

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.