Flooding is the world's most costly type of natural disaster in terms of both economic losses and human causalities. A first and essential procedure towards flood monitoring is based on identifying the area most vulnerable to flooding, which gives authorities relevant regions to focus. In this work, we propose several methods to perform flooding identification in highresolution remote sensing images using deep learning. Specifically, some proposed techniques are based upon unique networks, such as dilated and deconvolutional ones, while other was conceived to exploit diversity of distinct networks in order to extract the maximum performance of each classifier. Evaluation of the proposed methods were conducted in a high-resolution remote sensing dataset. Results show that the proposed algorithms outperformed state-of-the-art baselines, providing improvements ranging from 1 to 4% in terms of the Jaccard Index.
This work is developed in the context of the placing task of the MediaEval 2011 initiative. The objective is to geocode (or geotag) a set of videos, i.e., automatically assign geographical coordinates to them. This paper presents an architecture for multimodal geocoding that exploits both visual and textual descriptions associated with videos. This work also describes our e↵orts regarding the implementation of this architecture to demonstrate its applicability. Conducted experiments show how our multimodal approach enhances the results compared to relying on a single modality.
Background Oncology and hematology is a complex and specific area that requires monitoring by a multidisciplinary team capable of personalizing the treatment of each patient. Clinical pharmacy services have the potential to contribute significantly to the effective and economical care of cancer patients. Objective To evaluate, synthesize and critically present the available evidence on the impact of the Clinical Pharmacy in the treatment of patients with hematological cancer. Method A review was carried out on the bases PubMed/MEDLINE, LILACS and Google Scholar. The included studies were: studies that evaluated the effects of pharmaceutical interventions in clinical in oncology and hematology services and having as a population patient with hematological cancer. Results 17 studies were selected among 745 identified. 4.771 patients were included, with an average follow-up time of 15.3 months. Patients affected by some type of hematological cancer, undergoing chemotherapy treatment, showed better adherence and continuity when accompanied by a clinical pharmacist, added to this professional in carrying out interventions, provides control of symptoms such as cancer pain, nausea and constipation and, thus, contributes to decrease the length of hospital stay. Conclusion The implementation of a Clinical Pharmacy service in oncology and hematology centers contributes significantly to the effectiveness of pharmacotherapeutic treatment, treatment costs reduction, safety increase in the use of medications and the patient’s quality of life.
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