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16篇 您的检索式:作者名="Karelovic"
    题名 作者 年代 出处 被引量
1Haemolytic disease of the newborn-from a mother with anti-Kell,anti-E and anti-Vel anti-erythrocyte alloantibodies显示文摘Vucinovic M Jadric H Karelovic D 2004Z Geburtshilfe Neonatol2004,208,5:1
2Mechanistic study of low temperature CO 2 methanation over Rh/TiO 2 catalysts显示文摘Alejandro Karelovic Patricio Ruiz 2013Journal of Catalysis2013,,:1
3Relationship between the Secondary Structure and the Regulatory Activity of the Leader Region of the Riboflavin Biosynthesis Operon in Bacillus subtilis 显示文摘Mironov A S Karelov D V Solov'eva I M 2008Genetika2008,44,4:1
4Oral lichen planus and HLA A显示文摘Ognjenovic M Karelovic D Cindro VV 1998Coll Antropol1998,,:1
5Oral lichen planus and HLA B显示文摘Ognjenovic M Karelovic D Cindro W 1998Coll Antropol1998,,:1
6Haemolytic disease of the newborn--from a mother with anti-Kell, anti-E and anti-Vel anti-erythro- cyte alloantibodies显示文摘Vucinovic M Jadrie H Karelovic D 2004Z Geburtshilfe Neonatol2004,208,5:1
7Mutational analysis of the ribC gene of Bacillus subtilis显示文摘Karelov DV Kreneva RA Errais LL et aJ 2011RussianJournal of Genetics2011,47,6:1
8Oral lichen planus and HLA A显示文摘Ognjenovic M Karelovic D Cindro VV 1998Coll Antropol1998,,:1
9alpha-Glucosidases 显示文摘KRASIKOV V V KARELOV D V FIRSOV L M 2001Biochemistry2001,66,3:1
10Haemolytic dis- ease of the newborn-from a mother with anti-Kell,anti-E and anti-Vel anti-erythrocyte alloantibodies显示文摘Vucinovic M Jadric H Karelovic D 2004Z Geburt- shilfe Neonatol2004,208,5:1
11Effect of the structure and morphological properties of Cu/ZnO catalysts prepared by citrate method on their activity toward methanol synthesis from CO2 and H2 under mild reaction conditions 显示文摘Karelovic A Bargibant A Femandez C 2012CatalToday2012,197,1:1
12Effect of the structural and morphological properties of Cu/ZnO catalysts prepared by citrate method on their activity toward methanol synthesis from CO 2 and H 2 under mild reaction conditions显示文摘Alejandro Karelovic Alice Bargibant Camila Fernández Patricio Ruiz 2012Catalysis Today2012,,1:1
13Relationship between the secondary structure and the regulatory activity of the leader region of the riboflavin biosynthesis operon in Bacillus subtilis显示文摘Mironov AS Karelov DV Solov' eva IM 2008Genetika2008,44,4:1
14The effect of delivery on regression of abnormal cervical cytologic findings 显示文摘Strinic T Bukovic D Karelovic D 2002Coil Antropol2002,26,2:1
15The effect of delivery on regression of abnormal cervical cytologic findings显示文摘Strinic T Bukovic D Karelovic D 2002Coll Antropol2002,26,2:1
16Precision silviculture:use of UAVs and comparison of deep learning models for the identification and segmentation of tree crowns in pine crops显示文摘The monitoring of trees is crucial for the management of large areas of forest cultivations,but this process may be costly.However,remotely sensed data offers a solution to automate this process.In this work,we used two neural network methods named You Only Look Once(YOLO)and Mask R-CNN to overcome the challenging tasks of counting,detecting,and segmenting high dimensional Red–Green–Blue(RGB)images taken from unmanned aerial vehicles(UAVs).We present a processing framework,which is suitable to generate accurate predictions for the aforementioned tasks using a reasonable amount of labeled data.We compared our method using forest stands of different ages and densities.For counting,YOLO overestimates 8.5%of the detected trees on average,whereas Mask R-CNN overestimates a 4.7%of the trees.For the detection task,YOLO obtains a precision of 0.72 and a recall of 0.68 on average,while Mask R-CNN obtains a precision of 0.82 and a recall of 0.80.In segmentation,YOLO overestimates a 13.5%of the predicted area on average,whereas Mask R-CNN overestimates a 9.2%.The proposed methods present a cost-effective solution for forest monitoring using RGB images and have been successfully used to monitor∼146,500 acres of pine cultivations.Manuel Ignacio Perez Bruno Karelovic Roberto Molina Rodrigo Saavedra Pierluigi Cerulo Guillermo Cabrera 2022International Journal of Digital Earth2022,15,1:0
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