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1161por Chen, Chao, Zhang, Jiaxin, Belkacem, Abdelkader Nasreddine, Zhang, Shanting, Xu, Rui, Hao, Bin, Gao, Qiang, Shin, Duk, Wang, Changming, Ming, Dong“…Motor imagery is one of the classical paradigms which have been used in brain-computer interface and motor function recovery. …”
Publicado 2019
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1162por Solano-Villarreal, Elisa, Valdivia, Walter, Pearcy, Morgan, Linard, Catherine, Pasapera-Gonzales, José, Moreno-Gutierrez, Diamantina, Lejeune, Philippe, Llanos-Cuentas, Alejandro, Speybroeck, Niko, Hayette, Marie-Pierre, Rosas-Aguirre, Angel“…This is the first study to assess the risk of co-endemic Plasmodium vivax and Plasmodium falciparum transmission in the Peruvian Amazon using boosted regression tree (BRT) models based on social and environmental predictors derived from satellite imagery and data. Yearly cross-validated BRT models were created to discriminate high-risk (annual parasite index API > 10 cases/1000 people) and very-high-risk for malaria (API > 50 cases/1000 people) in 2766 georeferenced villages of Loreto department, between 2010–2017 as other parts in the article (graphs, tables, and texts). …”
Publicado 2019
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1163
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1164por Yang, Baohua, Wang, Mengxuan, Sha, Zhengxia, Wang, Bing, Chen, Jianlin, Yao, Xia, Cheng, Tao, Cao, Weixing, Zhu, YanEnlace del recurso
Publicado 2019
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1165Effects of motor imagery training of Parkinson's disease: a protocol for a randomized clinical trialpor Nascimento, Isaíra Almeida Pereira da Silva, Santiago, Lorenna Marques de Melo, de Souza, Aline Alves, Pegado, Camila de Lima, Ribeiro, Tatiana Souza, Lindquist, Ana Raquel Rodrigues“…The EG will perform motor imagery and gait, while the CG will only engage in gait exercises. …”
Publicado 2019
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1166A Parallel Multiscale Filter Bank Convolutional Neural Networks for Motor Imagery EEG Classification“…OBJECTIVE: Electroencephalogram (EEG) based brain–computer interfaces (BCI) in motor imagery (MI) have developed rapidly in recent years. …”
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1167
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1168“…The decoding accuracy were 71.4%, 83.5%, and 89.2% for passive attention, counting, and pitch-imagery, respectively, after the fourth averaging procedure. …”
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1170por Maier, Anna, Schaitz, Caroline, Kröner, Julia, Connemann, Bernhard, Sosic-Vasic, Zrinka“…The present exploratory study implemented a short-term psychotherapeutic treatment, consisting of two imagery rescripting (IR) sessions. The efficacy of IR techniques has already been demonstrated in the treatment of various anxiety disorders including test anxiety. …”
Publicado 2020
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1171“…The data include individual ERP data when participants were performing auditory imagery of native and non-native English speech during silent reading vs. normal silent reading, and behavioral results from participants performing the Nelson-Denny Reading Comprehension task and Bucknell Auditory Imagery Scale (BAIS). …”
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1172“…The instrumentation used included soil pressure cells, thermal infrared (TIR) imagery, 3D laser scanner, and digital photography. …”
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1173por Karydas, Christos, Iatrou, Miltiadis, Kouretas, Dimitrios, Patouna, Anastasia, Iatrou, George, Lazos, Nikolaos, Gewehr, Sandra, Tseni, Xanthi, Tekos, Fotis, Zartaloudis, Zois, Mainos, Evangelos, Mourelatos, Spiros“…In this research, a model for the estimation of antioxidant content in cherry fruits from multispectral imagery acquired from drones was developed, based on machine learning methods. …”
Publicado 2020
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1174“…Due to increasingly complex factors of image degradation, inferring high-frequency details of remote sensing imagery is more difficult compared to ordinary digital photos. …”
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1176por Daeglau, Mareike, Wallhoff, Frank, Debener, Stefan, Condro, Ignatius Sapto, Kranczioch, Cornelia, Zich, Catharina“…We implemented a foot motor imagery (MI) NF with mobile electroencephalography (EEG). …”
Publicado 2020
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1177“…The motor-cognitive model holds that motor imagery relies on executive resources to a much greater extent than do overt actions. …”
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1178por Yeh, Christopher, Perez, Anthony, Driscoll, Anne, Azzari, George, Tang, Zhongyi, Lobell, David, Ermon, Stefano, Burke, Marshall“…Here we train deep learning models to predict survey-based estimates of asset wealth across ~ 20,000 African villages from publicly-available multispectral satellite imagery. Models can explain 70% of the variation in ground-measured village wealth in countries where the model was not trained, outperforming previous benchmarks from high-resolution imagery, and comparison with independent wealth measurements from censuses suggests that errors in satellite estimates are comparable to errors in existing ground data. …”
Publicado 2020
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1179por Bakó, Gábor, Molnár, Zsolt, Szilágyi, Zsófia, Biró, Csaba, Morvai, Edina, Ábrám, Örs, Molnár, AndrásEnlace del recurso
Publicado 2020
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1180“…In this study, we investigated individual traits that influence the frequency of involuntary musical imagery (INMI) and the emotional valence of these occurrences using the experience sampling method (ESM) that measures INMI in daily life at the moment they occur. …”
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