找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Next Generation Computing Technologies on Computational Intelligence; 4th International Co Manish Prateek,Durgansh Sharma,Neeraj Kumar Conf

[復(fù)制鏈接]
查看: 54242|回復(fù): 58
樓主
發(fā)表于 2025-3-21 16:34:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Next Generation Computing Technologies on Computational Intelligence
副標(biāo)題4th International Co
編輯Manish Prateek,Durgansh Sharma,Neeraj Kumar
視頻videohttp://file.papertrans.cn/667/666186/666186.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Next Generation Computing Technologies on Computational Intelligence; 4th International Co Manish Prateek,Durgansh Sharma,Neeraj Kumar Conf
描述.The 18 full and 13 short papers presented were carefully reviewed and selected from 255 submissions. There were organized in topical sections named: Image Processing, Pattern Analysis and Machine Vision; Information and Data Convergence; Disruptive Technologies for Future; E-Governance and Smart World.
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; computer networks; computer science; computer systems; network protocols; signal
版次1
doihttps://doi.org/10.1007/978-981-15-1718-1
isbn_softcover978-981-15-1717-4
isbn_ebook978-981-15-1718-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

書目名稱Next Generation Computing Technologies on Computational Intelligence影響因子(影響力)




書目名稱Next Generation Computing Technologies on Computational Intelligence影響因子(影響力)學(xué)科排名




書目名稱Next Generation Computing Technologies on Computational Intelligence網(wǎng)絡(luò)公開度




書目名稱Next Generation Computing Technologies on Computational Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Next Generation Computing Technologies on Computational Intelligence被引頻次




書目名稱Next Generation Computing Technologies on Computational Intelligence被引頻次學(xué)科排名




書目名稱Next Generation Computing Technologies on Computational Intelligence年度引用




書目名稱Next Generation Computing Technologies on Computational Intelligence年度引用學(xué)科排名




書目名稱Next Generation Computing Technologies on Computational Intelligence讀者反饋




書目名稱Next Generation Computing Technologies on Computational Intelligence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

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:38:36 | 只看該作者
Emotion Recognition in Poetry Using Ensemble of Classifiersposed emotion recognition model uses a novel ensemble classifier schema based on SVM, Logistic regression, NB Classifier, and Emotion Modifier Preserved Vector Space Model. The results show that the proposed model achieves satisfactory precision, Recall and F-measure in recognizing emotions from poems.
板凳
發(fā)表于 2025-3-22 02:01:58 | 只看該作者
An Approach to Threshold Based Human Skin Color Recognition and Segmentation in Different Color Mode differentiate the color and luminance information still in the uncharacteristic illumination circumstances. The investigational outcome illustrates the effectiveness of color model based recognition of skin tone in color images.
地板
發(fā)表于 2025-3-22 08:15:29 | 只看該作者
5#
發(fā)表于 2025-3-22 09:22:13 | 只看該作者
Distributed Multi-criteria Based Clusterhead Selection Approach for MANETn NS-2.35. Experimental results show that the proposed DMBCA achieves much better results in terms of performance parameters such as packet delivery ratio, average throughput and routing overhead than conventional AODV technique.
6#
發(fā)表于 2025-3-22 12:57:59 | 只看該作者
NStackSenti: Evaluation of a Multi-level Approach for Detecting the Sentiment of Usersenti is applied on two separate datasets to demonstrate the effectiveness in terms of accuracy. NStackSenti provides better accuracy with trigram than unigram and bigram. It provides 83.7% and 86.24% accuracy on 2000 and 50000 data respectively.
7#
發(fā)表于 2025-3-22 18:38:56 | 只看該作者
8#
發(fā)表于 2025-3-23 00:39:32 | 只看該作者
9#
發(fā)表于 2025-3-23 04:46:03 | 只看該作者
10#
發(fā)表于 2025-3-23 08:33:18 | 只看該作者
Parkinson’s Disease Diagnosis by fMRI Images Using MFCC Feature Extraction feature extraction of fMRI images. Mean and Standard deviation of the extracted coefficients was calculated which was further classified using the Classifier Learner. Obtained results showed that MFCC coefficients are effectively able to identify PD and normal person.
 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 期刊點評 投稿經(jīng)驗總結(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| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-26 01:29
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
灵璧县| 贡嘎县| 达州市| 桃源县| 乌鲁木齐县| 湖州市| 兴安盟| 大新县| 普洱| 房山区| 唐山市| 徐水县| 策勒县| 山西省| 白水县| 永寿县| 屯昌县| 鄂托克前旗| 来安县| 肇源县| 科尔| 竹山县| 浪卡子县| 宣恩县| 中卫市| 诸暨市| 高安市| 嵩明县| 磴口县| 政和县| 蕲春县| 嘉义县| 包头市| 阿拉善盟| 乌兰浩特市| 高阳县| 丹凤县| 高雄市| 平塘县| 弥渡县| 舟曲县|