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: Neural Information Processing; 18th International C Bao-Liang Lu,Liqing Zhang,James Kwok Conference proceedings 2011 Springer-Verlag GmbH B

[復(fù)制鏈接]
31#
發(fā)表于 2025-3-27 00:14:01 | 只看該作者
32#
發(fā)表于 2025-3-27 02:01:27 | 只看該作者
Discrimination of Protein Thermostability Based on a New Integrated Neural Networkostability in the level of amino acid sequence is still a challenge in the research of the protein pattern recognition. In this paper, we try to use new integrated feedforward artificial neural network which was optimized by particle swarm optimization (PSO-NN) to recognize the mesophilic and thermo
33#
發(fā)表于 2025-3-27 08:54:25 | 只看該作者
34#
發(fā)表于 2025-3-27 13:07:36 | 只看該作者
Complex Detection Based on Integrated Propertiesrable importance for protein complex detection. Based on this observation, we propose a novel algorithm called CDIP (Complex Detection based on Integrated Properties) to discover protein complexes from the yeast PPI network. In our method, a simple feature representation from protein primary sequenc
35#
發(fā)表于 2025-3-27 16:52:46 | 只看該作者
36#
發(fā)表于 2025-3-27 21:42:33 | 只看該作者
37#
發(fā)表于 2025-3-28 00:55:05 | 只看該作者
ECG Classification Using ICA Features and Support Vector Machinesation. We propose a statistical method to segment heartbeats from ECG signal as precisely as possible, and use the combination of independent component analysis (ICA) features and temporal feature to describe multi-lead ECG signals. To obtain the most discriminant features of different class, we int
38#
發(fā)表于 2025-3-28 03:57:41 | 只看該作者
Feature Reduction Using a Topic Model for the Prediction of Type III Secreted Effectorsechanism has not been fully understood yet. Recently, a lot of emphasis has been put on identifying type III secreted effectors (T3SE) in order to uncover the signal and principle that guide the secretion process. However, the amino acid sequences of T3SEs have great sequence diversity through fast
39#
發(fā)表于 2025-3-28 09:32:26 | 只看該作者
40#
發(fā)表于 2025-3-28 13:04:57 | 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, 2025-10-20 16:12
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
景德镇市| 永定县| 满洲里市| 昂仁县| 南丹县| 昌江| 萝北县| 辽源市| 岑溪市| 台安县| 平安县| 花垣县| 华池县| 镇江市| 奉节县| 新民市| 清远市| 波密县| 房山区| 郧西县| 襄汾县| 鹿邑县| 封开县| 海盐县| 大英县| 绥德县| 平遥县| 建湖县| 菏泽市| 洛南县| 衡东县| 新宁县| 陆川县| 太康县| 平遥县| 鲁甸县| 聂荣县| 张掖市| 黑龙江省| 丽水市| 鹿邑县|