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Refinado por: Base de dados/Biblioteca: Taylor & Francis Open Access remover idioma: Croatian remover nível superior: Revistas revisadas por pares remover
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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
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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

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Neurological disease prediction using impaired gait analysis for foot position in cerebellar ataxia by ensemble approach
Neurological disease prediction using impaired gait analysis for foot position in cerebellar ataxia by ensemble approach
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Neurological disease prediction using impaired gait analysis for foot position in cerebellar ataxia by ensemble approach

Shanmuga Sundari, M. ; Jadala, Vijaya Chandra

Automatika, 2023-07, Vol.64 (3), p.540-549 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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3
A scheme of opinion search & relevant product recommendation in social networks using stacked DenseNet121 classifier approach
A scheme of opinion search & relevant product recommendation in social networks using stacked DenseNet121 classifier approach
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A scheme of opinion search & relevant product recommendation in social networks using stacked DenseNet121 classifier approach

Shanmugavelu, Murugesan ; Sannasy, Muthurajkumar

Automatika, 2023-04, Vol.64 (2), p.248-258 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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4
Multilayer vectorization to develop a deeper image feature learning model
Multilayer vectorization to develop a deeper image feature learning model
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Multilayer vectorization to develop a deeper image feature learning model

Hemanand, D. ; Bhavani, N. P. G. ; Ayub, Shahanaz ; Ahmad, Mohd Wazih ; Narayanan, S. ; Haldorai, Anandakumar

Automatika, 2023-04, Vol.64 (2), p.355-364 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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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
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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

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6
Pneumonia detection in chest X-ray images using compound scaled deep learning model
Pneumonia detection in chest X-ray images using compound scaled deep learning model
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Pneumonia detection in chest X-ray images using compound scaled deep learning model

Hashmi, Mohammad Farukh ; Katiyar, Satyarth ; Hashmi, Abdul Wahab ; Keskar, Avinash G.

Automatika, 2021-10, Vol.62 (3-4), p.397-406 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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7
An automated system for electrical power symbol placement in electrical plan drawing
An automated system for electrical power symbol placement in electrical plan drawing
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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

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8
Structured prediction models for argumentative claim parsing from text
Structured prediction models for argumentative claim parsing from text
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Structured prediction models for argumentative claim parsing from text

Boltužić, Filip ; Šnajder, Jan

Automatika, 2020-07, Vol.61 (3), p.361-370 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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Predicting the academic progression in student's standpoint using machine learning
Predicting the academic progression in student's standpoint using machine learning
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Predicting the academic progression in student's standpoint using machine learning

Sassirekha, M. S. ; Vijayalakshmi, S.

Automatika, 2022-12, Vol.63 (4), p.605-617 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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10
A fused lightweight CNN model for the diagnosis of COVID-19 using CT scan images
A fused lightweight CNN model for the diagnosis of COVID-19 using CT scan images
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A fused lightweight CNN model for the diagnosis of COVID-19 using CT scan images

Krishnaswamy Rangarajan, Aravind ; Ramachandran, Hari Krishnan

Automatika, 2022-01, Vol.63 (1), p.171-184 [Periódico revisado por pares]

Ljubljana: Taylor & Francis

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