Results 11 to 20 of about 613,158 (317)
Earth remote sensing imagery classification using a multi-sensor super-resolution fusion algorithm [PDF]
Earth remote sensing data fusion is intended to produce images of higher quality than the original ones. However, the fusion impact on further thematic processing remains an open question because fusion methods are mostly used to improve the visual data ...
A.M. Belov , A.Y. Denisova
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Pandemics caused by pathogens that originate in wildlife highlight the importance of understanding the behavioral ecology of disease outbreaks at human–wildlife interfaces.
Krishna N. Balasubramaniam +8 more
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Despite increasing conflict at human–wildlife interfaces, there exists little research on how the attributes and behavior of individual wild animals may influence human–wildlife interactions.
Krishna N. Balasubramaniam +17 more
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Application of Soft Computing Techniques in River Flow Modeling
Modeling of data is critical in the analysis and evaluation of hydrological behavior. River flow data is one of the most important data in explaining hydrology.
Pijush Samuı +2 more
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Purification of Mycobacterium leprae RNA for gene expression analysis from leprosy biopsy specimens
Gene expression analysis in Mycobacterium leprae, an obligate intracellular pathogen and the etiologic agent of leprosy, has been hampered by the lack of an efficient method to purify RNA from leprosy lesions.
Diana L. Williams +3 more
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Detection of coronavirus Disease (COVID-19) based on Deep Features and Support Vector Machine [PDF]
The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches 100,000 people worldwide. In this consequence, it is very much essential to identify the infected
Prabira Kumar Sethy +3 more
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Background The cause of immune-mediated myositis (IMM), characterized by recurrent, rapid-onset muscle atrophy in Quarter Horses (QH), is unknown. The histopathologic hallmark of IMM is lymphocytic infiltration of myofibers. The purpose of this study was
Carrie J. Finno +9 more
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Modelling of Daily Suspended Sediment Concentration Using FFBPNN and SVM Algorithms [PDF]
The river is an essential resource of fresh water on the earth, and its management is very challenging. Sedimentation and erosion is a very complex process of the river system.
Atul Rahul +4 more
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An ontology enhanced parallel SVM for scalable spam filter training [PDF]
This is the post-print version of the final paper published in Neurocomputing. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and ...
Bauer +29 more
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Applications of Support Vector Machine (SVM) Learning in Cancer Genomics.
Machine learning with maximization (support) of separating margin (vector), called support vector machine (SVM) learning, is a powerful classification tool that has been used for cancer genomic classification or subtyping.
Shujun Huang +5 more
semanticscholar +1 more source

