找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Leucocyte Typing; Human Leucocyte Diff Alain Bernard,Laurence Boumsell,Stuart F. Schlossm Conference proceedings 1984 Springer-Verlag Berli

[復(fù)制鏈接]
查看: 45728|回復(fù): 35
樓主
發(fā)表于 2025-3-21 19:52:08 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Leucocyte Typing
副標(biāo)題Human Leucocyte Diff
編輯Alain Bernard,Laurence Boumsell,Stuart F. Schlossm
視頻videohttp://file.papertrans.cn/586/585295/585295.mp4
圖書(shū)封面Titlebook: Leucocyte Typing; Human Leucocyte Diff Alain Bernard,Laurence Boumsell,Stuart F. Schlossm Conference proceedings 1984 Springer-Verlag Berli
出版日期Conference proceedings 1984
關(guān)鍵詞Monoklonaler Antik?rper; Weisses Blutk?rperchen; antibody
版次1
doihttps://doi.org/10.1007/978-3-642-68857-7
isbn_softcover978-3-642-68859-1
isbn_ebook978-3-642-68857-7
copyrightSpringer-Verlag Berlin Heidelberg 1984
The information of publication is updating

書(shū)目名稱Leucocyte Typing影響因子(影響力)




書(shū)目名稱Leucocyte Typing影響因子(影響力)學(xué)科排名




書(shū)目名稱Leucocyte Typing網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Leucocyte Typing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Leucocyte Typing被引頻次




書(shū)目名稱Leucocyte Typing被引頻次學(xué)科排名




書(shū)目名稱Leucocyte Typing年度引用




書(shū)目名稱Leucocyte Typing年度引用學(xué)科排名




書(shū)目名稱Leucocyte Typing讀者反饋




書(shū)目名稱Leucocyte Typing讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:00:29 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:33:15 | 只看該作者
J. Dausseted on several parameters of a team using Principal Component Analysis (PCA). In addition, we also used the Weighted Average System (WAS) to compute the region-based team’s strength. The intuition is to distinguish a stronger and a weaker team across the region. The results show that the proposed met
地板
發(fā)表于 2025-3-22 07:43:01 | 只看該作者
C. Milsteinegression (LR), random forest (RF), and multilayer perceptron (MLP) classifiers. We have achieved a classification accuracy of 78.5% to classify human anxiety by using the RF classifier. Our proposed scheme outperforms when compared with existing methods of anxiety/stress classification.
5#
發(fā)表于 2025-3-22 09:50:05 | 只看該作者
A. Bernard,L. Boumsell,C. Hilled image and its rotated version, to simultaneously detect lesion borders and eliminate occlusions and clutters. The proposed method outperform selected state-of-the-art segmentation algorithms on 600 images with different types of confounding factors.
6#
發(fā)表于 2025-3-22 14:30:57 | 只看該作者
7#
發(fā)表于 2025-3-22 21:05:47 | 只看該作者
al based data on loopy belief propagation (LBP), multiple feature learning of HI classification, and semi-supervised GCKs with classification accuracy on AVIRIS dataset (59.97%, 92.89%, 81.45%, 75.84%, and 95.50) and segmentation accuracies using α-expansion method as (73.27%, 93.57%, 92.86%, 91.73%
8#
發(fā)表于 2025-3-22 23:38:47 | 只看該作者
The Impact of Monoclonal Antibodies on Studies of the Differentiation of Lymphocytesdevelopment in studies of differentiation antigens was certainly not in our minds. Although those monoclonal antibodies (MoAb) were directed against cell surface antigens — anti-sheep red blood cells — the choice was only a convenient experimental device. In fact, we were only interested in a perman
9#
發(fā)表于 2025-3-23 03:54:00 | 只看該作者
Joint Report of the First International Workshop on Human Leucocyte Differentiation Antigens by the 81. The abundant data available from several groups at the time demonstrated the enormous potential of monoclonal antibodies (MAbs) for the characterization of normal and malignant leucocyte populations. It was clear then that the fundamental issues and clinical implications concerning MAbs would be
10#
發(fā)表于 2025-3-23 08:49:34 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 22:41
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
井研县| 米脂县| 江津市| 邵武市| 讷河市| 衡南县| 高唐县| 始兴县| 万山特区| 玛多县| 共和县| 来宾市| 西和县| 喀什市| 米易县| 新昌县| 静安区| 武乡县| 乾安县| 镇安县| 广东省| 芦溪县| 循化| 兰西县| 深泽县| 于都县| 麻江县| 玉龙| 太和县| 白玉县| 龙泉市| 茶陵县| 高碑店市| 滁州市| 涡阳县| 汪清县| 三门县| 赣州市| 南安市| 婺源县| 高密市|