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1
NE-Motion visual analysis of stroke patients using motion sensor networks
NE-Motion visual analysis of stroke patients using motion sensor networks
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NE-Motion visual analysis of stroke patients using motion sensor networks

Rodrigo Colnago Contreras Avinash Parnandi; Bruno Gomes Coelho; Claudio Silva; Heidi Schambra; Luis Gustavo Nonato

Sensors Basel v. 21, p. 1-22, 2021

Basel 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3034546 )(Acessar)

2
Ferroelectret-based hydrophone employed in oil identification - a machine learning approach
Ferroelectret-based hydrophone employed in oil identification - a machine learning approach
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Ferroelectret-based hydrophone employed in oil identification - a machine learning approach

Daniel R. de Luna T. T. C Palitó; Y. A. O Assagra; R. A. P Altafim; J. P Carmo; R. A. C Altafim; Antonio Adilton Oliveira Carneiro; Vicente A. de Sousa Junior

Sensors Basel v. 20, n. 10, art. 2979, p. 1-18, 2020

Basel 2020

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 3077169 Acervo Digital )(Acessar)

3
Activity recognition for ambient assisted living with videos, inertial units and ambient sensors
Activity recognition for ambient assisted living with videos, inertial units and ambient sensors
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Activity recognition for ambient assisted living with videos, inertial units and ambient sensors

Caetano Mazzoni Ranieri Scott MacLeod; Mauro Dragone; Patrícia Amâncio Vargas; Roseli Aparecida Francelin Romero

Sensors Basel : MDPI v. 21, n. 3, p. 1-32, 2021

Basel 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3016606 )(Acessar)

4
Aircraft fuselage corrosion detection using artificial intelligence
Aircraft fuselage corrosion detection using artificial intelligence
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Aircraft fuselage corrosion detection using artificial intelligence

Bruno Brandoli Machado André Reis de Geus; Jefferson R Souza; Gabriel Spadon; Amilcar Soares; José Fernando Rodrigues Junior; Jerzy Komorowski; Stan Matwin

Sensors Basel v. 21, p. 1-15, 2021

Basel 2021

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3033467 )(Acessar)

5
Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors
Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors
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Machine learning for the detection and diagnosis of anomalies in applications driven by electric motors

Fábio Ferraz Júnior Roseli Aparecida Francelin Romero; Sheng-Jen Hsieh

Sensors Basel v. 23, n. 24, p. 1-25, 2023

Basel 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3172974 )(Acessar)

6
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI
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A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI

Zahoor, Mirza Mumtaz ; Qureshi, Shahzad Ahmad ; Bibi, Sameena ; Khan, Saddam Hussain ; Khan, Asifullah ; Ghafoor, Usman ; Bhutta, Muhammad Raheel

Sensors (Basel, Switzerland), 2022-04, Vol.22 (7), p.2726 [Periódico revisado por pares]

Switzerland: MDPI AG

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7
Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach
Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach
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Wi-Fi-Based Indoor Localization and Navigation: A Robot-Aided Hybrid Deep Learning Approach

Lin, Xuxin ; Gan, Jianwen ; Jiang, Chaohao ; Xue, Shuai ; Liang, Yanyan

Sensors (Basel, Switzerland), 2023-07, Vol.23 (14), p.6320 [Periódico revisado por pares]

Switzerland: MDPI AG

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8
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application
Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application
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Federated Semi-Supervised Multi-Task Learning to Detect COVID-19 and Lungs Segmentation Marking Using Chest Radiography Images and Raspberry Pi Devices: An Internet of Medical Things Application

Alam, Mahbub Ul ; Rahmani, Rahim

Sensors (Basel, Switzerland), 2021-07, Vol.21 (15), p.5025 [Periódico revisado por pares]

Switzerland: MDPI AG

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9
Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks
Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks
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Lifelong Adaptive Machine Learning for Sensor-Based Human Activity Recognition Using Prototypical Networks

Adaimi, Rebecca ; Thomaz, Edison

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6881 [Periódico revisado por pares]

Switzerland: MDPI AG

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10
A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO[sub.2] Concentration as an Example
A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO[sub.2] Concentration as an Example
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A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO[sub.2] Concentration as an Example

Chen, Xiaoyang ; Yang, Lijia ; Xue, Hao ; Li, Lihua ; Yu, Yao

Sensors (Basel, Switzerland), 2023-12, Vol.24 (1) [Periódico revisado por pares]

MDPI AG

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Deste Autor:

  1. Romero, R
  2. Nonato, L
  3. Parnandi, A
  4. Rodrigues Junior, J
  5. Machado, B

Neste Assunto:

  1. Technology
  2. Engineering
  3. Instruments & Instrumentation
  4. Chemistry, Analytical
  5. Chemistry

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

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