Results 11 to 20 of about 249 (137)
La visualización de áreas, volúmenes, topologías y perspectivas de diferentes objetos que se encuentran en nuestro entorno son realizados por nuestros ojos y cerebro que se han perfeccionado a lo largo de millones de años.
R. A. Montalvo, P. H. Rivera
doaj +1 more source
Life history induces markedly divergent insect responses to habitat loss. [PDF]
This study pioneers the use of deep learning to rapidly assess over 22,000 Amazonian insects, revealing life history‐dependent winners and losers from forest loss. It shows that terrestrial insects decline while aquatic insects thrive, with body size influencing dispersal, offering key insights for biodiversity conservation in tropical fragmented ...
Colares LF, Peres CA, Dambros CS.
europepmc +2 more sources
Ceramic Tile Defect Inspection System Implemented on FPGA
Modernization in factories is the key for production and product quality. However, this modernization can involve an investment that companies cannot take, leaving them out of adaptation to Industry 4.0.
Tomás Ariel Medina +2 more
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pykanto: A python library to accelerate research on wild bird song
Abstract Studying the vocalisations of wild animals can be a challenge due to the limitations of traditional computational methods, which often are time‐consuming and lack reproducibility. Here, I present pykanto, a new software package that provides a set of tools to build, manage, and explore large sound databases.
Nilo Merino Recalde
wiley +1 more source
Se evaluó el efecto de la variedad, frecuencia de remoción y tiempo de fermentación en el rendimiento y calidad de granos de cacao (Theobroma cacao L.) mediante visión computacional, los granos se acondicionaron en 15 cajones de madera de 1 kg según ...
Polito Michael Huayama Sopla +1 more
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El objetivo de este estudio fue determinar la cinética de cambio de color en papa (Solanum tuberosum), variedad huagalina, huayro, limeña y peruanita, en el proceso de fritura, utilizando visión computacional.
José Gerardo Salhuana Granados +3 more
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Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation
Abstract Tropical forests are subject to diverse deforestation pressures while their conservation is essential to achieve global climate goals. Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on‐the‐ground ...
James G. C. Ball +3 more
wiley +1 more source
IMAGERY: A VIRTUAL LABORATORY FOR TRAINING ON DIGITAL IMAGE PROCESSING
Los libros de Procesamiento Digital de Imágenes (PDI) exponen algoritmos para operar digitalmente sobre imágenes e incluyen algunas figuras para mostrar el efecto de los mismos.
Javier Montenegro Joo
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As one of the fast evolution of remote sensing and spectral imagery techniques, hyperspectral image (HSI) classification has attracted considerable attention in various fields, including land survey, resource monitoring, and among others. Nonetheless, due to a lack of distinctiveness in the hyperspectral pixels of separate classes, there is a recurrent
Douglas Omwenga Nyabuga +4 more
wiley +1 more source
Localization System for a Mobile Robot Using Computer Vision Techniques
Mobile Robotics is a subject with multiple fields of action hence studies in this area are of vital importance. This paper describes the development of localization system for a mobile robot using Computer Vision. A webcam is placed at a height where the
Rony Cruz Ramírez +2 more
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