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Imágenes (Psicología)
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901por Sacheli, Lucia Maria, Zapparoli, Laura, Preti, Matteo, De Santis, Carlo, Pelosi, Catia, Ursino, Nicola, Zerbi, Alberto, Stucovitz, Elena, Banfi, Giuseppe, Paulesu, Eraldo“…During fMRI, participants observed (i) stationary or (ii) moving videos of a path in a park shown in the first-person perspective: they were asked to imagine themselves (i) standing on or (ii) walking along the path, as if the camera were “their own eyes” (gait imagery (GI) task). In half of the trials, participants performed a dynamic gait imagery (DGI) task by combining foot movements with GI. …”
Publicado 2018
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902por Xygonakis, Ioannis, Athanasiou, Alkinoos, Pandria, Niki, Kugiumtzis, Dimitris, Bamidis, Panagiotis D.“…The evaluation was performed on the BCI Competition IV dataset 2a, which features 4 motor imagery classes from 9 participants. Our results revealed a mean accuracy increase of 5.6% with respect to the conventional application method of CSP on sensors. …”
Publicado 2018
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903
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904“…The proposed method can be used with different modalities, including near infrared imagery, which extends its future potential.…”
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905“…BACKGROUND: Conventional methods of motor imagery brain computer interfaces (MI-BCIs) suffer from the limited number of samples and simplified features, so as to produce poor performances with spatial-frequency features and shallow classifiers. …”
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906por Gupta, Kaushik, Mukhopadhyay, Anirban, Giri, Sandip, Chanda, Abhra, Datta Majumdar, Sayani, Samanta, Sourav, Mitra, Debasish, Samal, Rabindro N., Pattnaik, Ajit K., Hazra, SugataEnlace del recurso
Publicado 2018
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907por Matus-Hernández, Miguel Ángel, Hernández-Saavedra, Norma Yolanda, Martínez-Rincón, Raúl Octavio“…Thus, in the last decade several methods have been described to estimate Chl-a with high-resolution (30 m) satellite imagery, such as Landsat, but a standardized method to estimate Chl-a from Landsat imagery has not been accepted yet. …”
Publicado 2018
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908por Guo, Wei, Zheng, Bangyou, Potgieter, Andries B., Diot, Julien, Watanabe, Kakeru, Noshita, Koji, Jordan, David R., Wang, Xuemin, Watson, James, Ninomiya, Seishi, Chapman, Scott C.“…Finally, the potential applications in yield estimation from UAV-based imagery from agronomy experiments and scouting of production fields are also discussed.…”
Publicado 2018
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909“…Motor imagery is often used inducing changes in electroencephalographic (EEG) signals for imagery-based brain-computer interfacing (BCI). …”
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911“…Measuring human population dynamics can be prohibitively expensive in under-resourced communities. Satellite imagery can provide measurements of human populations, past and present, to complement public health analyses and interventions. …”
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914por Meekes, Joost, Debener, Stefan, Zich, Catharina, Bleichner, Martin G., Kranczioch, Cornelia“…Motor imagery neurofeedback training has been proposed as a potential add-on therapy for motor impairment after stroke, but not everyone benefits from it. …”
Publicado 2019
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915“…We found both fans and non-fans of violent music exhibited a general negativity bias for violent imagery over neutral imagery regardless of the music genres. …”
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916“…The combined results demonstrate that the use of deep-learning-based detection methods in combination with UAV aerial imagery is fairly suitable for bird detection in various environments.…”
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917“…CONCLUSION: A method for safflower seedling count at early mixed growth stages using UAV imagery was developed and validated. The model performed well across heterogenous growth stages and has the potential to be used for plant density estimation across various crop species.…”
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918“…Is visual reinterpretation of bistable figures (e.g., duck/rabbit figure) in visual imagery possible? Current consensus suggests that it is in principle possible because of converging evidence of quasi-pictorial functioning of visual imagery. …”
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919por Zhao, Xin, Yuan, Yitong, Song, Mengdie, Ding, Yang, Lin, Fenfang, Liang, Dong, Zhang, DongyanEnlace del recurso
Publicado 2019
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920“…We design our method, DRFBNet300, with a Deeper Receptive Field Block (DRFB) module that enhances the expressiveness of feature maps to detect small objects in the UAV imagery. We also propose the UAV-cars dataset that includes the composition and angular distortion of vehicles in UAV imagery to train our DRFBNet300. …”
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