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4661por Torres‐Sánchez, Jorge, Mesas‐Carrascosa, Francisco Javier, Pérez‐Porras, Fernando, López‐Granados, Francisca“…Therefore, the aim of this work was to develop a methodology based on the analysis of imagery acquired with an uncrewed aerial vehicle (UAV) to detect and map E. elaterium infestations in hedgerow olive orchards. …”
Publicado 2022
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4662“…In both countries, alcohol policy needs to stipulate that mandatory health information and warnings should be clearly viewable on the product page and product imagery of online alcohol retailers.…”
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4663por Abdennour, Mohamed Amine, Contador, J. Francisco Lavado, González, Jesús Barrena, Piccini, Chiara, Landaverde, Anthony Gabourel, Fernández, Manuel Pulido“…Firstly, all existing hydrological information was gathered, and using aerial aircraft imagery and satellite images, each water body (WB) was then carefully collected, checked, and corrected. …”
Publicado 2023
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4664por Johnson, J. B., Roca, A., Pineda, A., Mérida, R., Escobar-Wolf, R., Anderson, J. F., Mock, J., Bosa, A., Bejar, G., P. Waite, G.“…We are able to quantify the capabilities of infrasound monitoring through comparison with seismic data, time lapse camera imagery, and high-resolution video of a well-recorded event on August 17. …”
Publicado 2023
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4665“…The vast amount of images generated by aerial imagery in the context of regular wildlife surveys nowadays require automatic processing tools. …”
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4666“…The moderator techniques for implanting false memories revealed a significantly lower probability of implanting false rich memory with non–directive instructions (d = 0.90[0.53, 1.27]) than with guided imagery (d = 1.45[1.32, 1.58]), or with pressure to answer (d = 1.56[1.17, 1.95]) instructions. …”
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4667“…It uses mental skill imagery, afferent kinaesthetic sensations, and specific sequences of low-frequency sounds coming from a patented medical device. …”
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4668por Reiner, Florian, Brandt, Martin, Tong, Xiaoye, Skole, David, Kariryaa, Ankit, Ciais, Philippe, Davies, Andrew, Hiernaux, Pierre, Chave, Jérôme, Mugabowindekwe, Maurice, Igel, Christian, Oehmcke, Stefan, Gieseke, Fabian, Li, Sizhuo, Liu, Siyu, Saatchi, Sassan, Boucher, Peter, Singh, Jenia, Taugourdeau, Simon, Dendoncker, Morgane, Song, Xiao-Peng, Mertz, Ole, Tucker, Compton J., Fensholt, Rasmus“…Here we use the PlanetScope nanosatellite constellation, which delivers global very high-resolution daily imagery, to map both forest and non-forest tree cover for continental Africa using images from a single year. …”
Publicado 2023
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4669“…Semantic segmentation of remote sensing imagery (RSI) is critical in many domains due to the diverse landscapes and different sizes of geo-objects that RSI contains, making semantic segmentation challenging. …”
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4670por Gevers, Anthony, Dessart, Patricia, Vanmarsenille, Jean-Marie, Vande Berg, Bruno, Yildiz, Halil, Hatem, Samar M.“…CASE PRESENTATION: A 16-year-old Caucasian male patient was admitted twice to the emergency department with debilitating lumbar pain without neurological or vascular symptoms. Imagery showed an extensive thrombosis of the inferior vena cava. …”
Publicado 2023
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4671“…Following the cascade implies every scale is a geometric measure so that a universal family of measure norms can be introduced which quantifies the geodesic connection between brains in the orbit independent of the probing technology, whether it be RNA identities, Tau or amyloid histology, spike trains, or dense MR imagery. Conclusions. We demonstrate a unified brain mapping theory for molecular and tissue scales based on geometric measure representations. …”
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4672por Wu, Zijing, Zhang, Ce, Gu, Xiaowei, Duporge, Isla, Hughey, Lacey F., Stabach, Jared A., Skidmore, Andrew K., Hopcraft, J. Grant C., Lee, Stephen J., Atkinson, Peter M., McCauley, Douglas J., Lamprey, Richard, Ngene, Shadrack, Wang, Tiejun“…Here, we present a robust transferable deep learning pipeline to automatically locate and count large herds of migratory ungulates (wildebeest and zebra) in the Serengeti-Mara ecosystem using fine-resolution (38-50 cm) satellite imagery. The results achieve accurate detection of nearly 500,000 individuals across thousands of square kilometers and multiple habitat types, with an overall F1-score of 84.75% (Precision: 87.85%, Recall: 81.86%). …”
Publicado 2023
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4673“…The tailored choking interventions comprised acclimatization training, goal setting, and pre-performance routines, including elements such as imagery, self-talk, and relaxation techniques. Before and after the 10-week intervention phase, they filled in questionnaires on trait performance anxiety, fear of negative evaluation, and self-efficacy, performed in front of a jury, and were interviewed about their experiences. …”
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4674por McCabe, Ruth, Whittaker, Charles, Sheppard, Richard J., Abdelmagid, Nada, Ahmed, Aljaile, Alabdeen, Israa Zain, Brazeau, Nicholas F., Ahmed Abd Elhameed, Abd Elhameed, Bin-Ghouth, Abdulla Salem, Hamlet, Arran, AbuKoura, Rahaf, Barnsley, Gregory, Hay, James A., Alhaffar, Mervat, Koum Besson, Emilie, Saje, Semira Mitiku, Sisay, Binyam Girma, Gebreyesus, Seifu Hagos, Sikamo, Adane Petros, Worku, Aschalew, Ahmed, Yakob Seman, Mariam, Damen Haile, Sisay, Mitike Molla, Checchi, Francesco, Dahab, Maysoon, Endris, Bilal Shikur, Ghani, Azra C., Walker, Patrick G. T., Donnelly, Christl A., Watson, Oliver J.“…Alternative data sources, including burial site worker reports, satellite imagery of cemeteries, and social media–conducted surveys of infection may offer solutions. …”
Publicado 2023
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4675“…The reviewed apps fell into eight major themes: life science education (3D anatomy, physiology and pathology, biochemistry, and genetics); rehabilitation (physical, mental, and phobia therapy); public health training (safety, life-saving skills, and management); medical training (surgical and patient simulators); role-playing as a patient; 3D medical imagery viewing; children's health; and online health communities. …”
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4676por Zhang, Hao, Ji, Hongfei, Yu, Jian, Li, Jie, Jin, Lingjing, Liu, Lingyu, Bai, Zhongfei, Ye, Chen“…In this paper, we design a novel fusion neural network EEG classification framework that uses a specially designed generative adversarial network (GAN), called a filter bank GAN (FBGAN), to acquire high-quality EEG data for augmentation and a proposed discriminative feature network for motor imagery (MI) task recognition. Specifically, multiple sub-bands of MI EEG are first filtered using a filter bank approach, then sparse common spatial pattern (CSP) features are extracted from multiple bands of filtered EEG data, which constrains the GAN to maintain more spatial features of the EEG signal, and finally we design a convolutional recurrent network classification method with discriminative features (CRNN-DF) to recognize MI tasks based on the idea of feature enhancement. …”
Publicado 2023
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4677“…New indices developed from recent multispectral satellite imagery, for example, Sentinel 2 aided by cutting-edge algorithms, can improve the estimation of foliar biochemical ratios. …”
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4678“…We show an exemplary application of the best performing pipeline to the analysis of EEG data recorded during motor imagery.…”
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4679por Uribe, Fabio Alexis Rincón, Favacho, Maria Fernanda Monteiro, Moura, Paula Marília Nascimento, Patiño, Diana Milena Cortés, da Silva Pedroso, Janari“…The active control intervention will comprise a set of mental imagery exercises and daily routine recording. The primary outcome comprises optimal well-being assessed using the multidimensional PERMA-Profiler scale. …”
Publicado 2023
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4680“…This study investigated the dynamics of mining effects on land use land cover changes and the chemical and physical characteristics of soil and surface water in the Ahafo mining area in Ghana. Landsat imagery was used to analyze land use-land cover changes (LULC) using a supervised classification technique. …”
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