Search Results - "Ohata, Elene F."

Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals by Zhang, Hongyi, Silva, Francisco H. S., Ohata, Elene F., Medeiros, Aldisio G., Rebouças Filho, Pedro P.

“…Recent statistics have shown that the main difficulty in detecting alcoholism is the unreliability of the information presented by patients with alcoholism;…”
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A new online approach for classification of pumps vibration patterns based on intelligent IoT system by Hu, Qinhua, Ohata, Elene F., Silva, Francisco H.S., Ramalho, Geraldo L.B., Han, Tao, Rebouças Filho, Pedro P.

“…•A new approach for classification of pumps vibration patterns using an Intelligent IoT Systems.•In order to identify a normal stage of cavitation, we use…”
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Classification of Electroencephalogram Signals for Detecting Predisposition to Alcoholism using Computer Vision and Transfer Learning by Silva, Francisco H. S., Medeiros, Aldisio G., Ohata, Elene F., Reboucas Filho, Pedro Pedrosa

“…Recent statistics have shown that the main difficulty in detecting alcoholism is the unreliability of the information presented by patients with addiction;…”
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An Approach to BI-RADS Uncertainty Levels Classification Via Deep Learning with Transfer Learning Technique by Medeiros, Aldisio, Ohata, Elene F., Silva, Francisco H. S., Rego, Paulo A. L., Reboucas Filho, Pedro Pedrosa

“…This work combines the transfer learning technique with Convolutional Neural Networks (CNN) to classify the pathology within BI-RADS levels 3 and 4 for…”
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Development Of A Method For Evaluating Body Composition And Perimeters Using Cell Phone Photos.: 1557 by Loureiro, Luiz Lannes, Nascimento, Navar M.M., Ohata, Elene F., Alves, Shara S.A., Capistrano, Valden L.M., Rebouças Filho, Pedro P.

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Development Of A Method For Evaluating Body Composition And Perimeters Using Cell Phone Photos: 1557 by Loureiro, Luiz Lannes, Nascimento, Navar M.M., Ohata, Elene F., Alves, Shara S.A., Capistrano, Valden L.M., Rebouças Filho, Pedro P.

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Gender-based approach to estimate the human body fat percentage using Machine Learning by Alves, Shara S.A., Ohata, Elene F., Nascimento, Navar M.M., De Souza, Joao W. M., Holanda, Gabriel B., Loureiro, Luiz Lannes, Reboucas Filho, Pedro Pedrosa

“…Keeping a certain balance of body fat is essential for a healthy life, and proper nutrition is fundamental. One of the most worrying malnutrition problems is…”
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Sex-based approach to estimate human body fat percentage from 2D camera images with deep learning and machine learning by Alves, Shara S.A., Ohata, Elene F., Sousa, Pedro C., Barroso, Calleo B., Nascimento, Navar M.M., Loureiro, Luiz Lannes, Bittencourt, Victor Zaban, Capistrano, Valden Luis Matos, da Rocha, Atslands R., Filho, Pedro P. Rebouças

“…Obesity is one of the most concerning nutritional issues since it is a significant risk factor for chronic diseases, including cardiovascular disease and…”
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Estimation of Bone Mineral Density using Machine Learning and SHapley Additive exPlanations by Bezerra, Gabriel M., Ohata, Elene F., Loureiro, Luiz L., Bittencourt, Victor Z., Capistrano, Valden L. M., da Rocha, Atslands R., Reboucas Filho, Pedro P.

“…Osteoporosis is a worldwide health issue marked by decreased bone density and degradation of bone tissue, which raises the risk of fractures. Early diagnosis…”
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Estimating anthropometric measurements through 2D images using machine learning with gender-based analysis by de Souza, Joao Wellington M., Ohata, Elene F., Nascimento, Navar M. M., Alves, Shara S. A., Loureiro, Luiz L., Bittencourt, Victor Z., Capistrano, Valden L. M., da Rocha, Atslands R., Filho, Pedro P. Reboucas

“…Anthropometric measurements are used in several fields of study and can be used in public health as an indicator of cardiovascular risk; they can also be used…”
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