维普期刊资源整合服务平台（V6.5）

维普中文期刊产品整合服务

9篇 您的检索式：作者名="Sovi"

选中清除导出查看参考文献查看引证文献引用追踪共1页首页上一页第1页下一页末页 /1 跳转

		题名	作者	年代	出处	被引量
	1	ThinPrep processing of endoscopic brushing specimens显示文摘	Wang HH Sovie S Trawinski G	1996	Am J Clin Pathol1996，105，：	1
	2	Sonographic diagnosis of mirizzis syudrome显示文摘	Sovi Joseph Simeon Carvajal and Charles Odwin	1985	J chin vltrasound1985，13，：	1
	3	Upright body position and weigtloss improve respiriatory mechanics and daytime oxyenation in odesepatients with odstruetive sleep apnoea显示文摘	Hakala K Maasiha P Sovi jaervi ARA	2000	Clinical Physiology2000，20，1：	1
	4	Botulinum toxin type A for the treatment of gastroparesis in Parkinson’s disease patients显示文摘	Ramon A. Gil Nelson Hwynn Thomas Fabian Sovi Joseph Hubert H. Fernandez	2011	Parkinsonism and Related Disorders2011，，4：	1
	5	ThinPrep processing of endoscopic brushing specimens显示文摘	Wang HH Sovie S Trawinski G	1996	Am J Clin Pathol1996，105，2：	1
	6	Pricing the nursing product:Charging for nursing care显示文摘	Sovie M Smith T		0，，：	1
	7	A deep semantic segmentation-based algorithm to segment crops and weeds in agronomic color images显示文摘In precision agriculture,the accurate segmentation of crops and weeds in agronomic images has always been the center of attention.Many methods have been proposed but still the clean and sharp segmentation of crops and weeds is a challenging issue for the images with a high presence of weeds.This work proposes a segmentation method based on the combination of semantic segmentation and K-means algorithms for the segmenta-tion of crops and weeds in color images.Agronomic images of two different databases were used for the segmentation algorithms.Using the thresholding technique,everything except plants was removed from the images.Afterward,semantic segmentation was applied using U-net followed by the segmentation of crops and weeds using the K-means subtractive algorithm.The comparison of segmentation performance was made for the proposed method and K-Means clustering and superpixels algorithms.The proposed algorithm pro-vided more accurate segmentation in comparison to other methods with the maximum accuracy of equivalent to 99.19%.Based on the confusion matrix,the true-positive and true-negative values were 0.9952 and 0.8985 representing the true classification rate of crops and weeds,respectively.The results indicated that the proposed method successfully provided accurate and convincing results for the segmentation of crops and weeds in the images with a complex presence of weeds.	Sovi Guillaume Sodjinou Vahid Mohammadi Amadou Tidjani Sanda Mahama Pierre Gouton	2022	Information Processing in Agriculture2022，9，3：	1
	8	The importance of antenatal immunoprophylaxis for prevention of hemolytic disease of the fetus and newborn显示文摘	Starcevi M Mataija M Sovi D	2011	Acta Med Croatica2011，65，1：	1
	9	The economics of magnetism显示文摘	Sovie MD	1984	Nurs Econ1984，2，2：	1

返回顶部每页显示：

共1页首页上一页第1页下一页末页 /1 跳转

goolge学术搜索-维普

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1　渝公网安备 50019002500403号　违法和不良信息举报中心

互联网出版许可证新出网证(渝)字10号全国400电话 - 免长途话费