找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Neural Approaches to Dynamics of Signal Exchanges; Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2020 Springer Nature Singapore Pte

[復(fù)制鏈接]
查看: 48717|回復(fù): 61
樓主
發(fā)表于 2025-3-21 18:49:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges
編輯Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero
視頻videohttp://file.papertrans.cn/664/663530/663530.mp4
概述Contributes to the development of intelligent interactive dialog systems that simplify everyday life.Covers a wide range of applications from medical diagnosis to entertainment devices.Describes resea
叢書(shū)名稱(chēng)Smart Innovation, Systems and Technologies
圖書(shū)封面Titlebook: Neural Approaches to Dynamics of Signal Exchanges;  Anna Esposito,Marcos Faundez-Zanuy,Eros Pasero Book 2020 Springer Nature Singapore Pte
描述The book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and artificial neural networks; algorithms and models; and social and biometric data for applications in human–computer interfaces, it discusses processing of audio-visual signals for the detection of user-perceived states, the latest scientific discoveries in processing? verbal (lexicon, syntax, and pragmatics), auditory (voice, intonation, vocal expressions) and visual signals (gestures, body language, facial expressions), as well as algorithms for detecting communication disorders, remote health-status monitoring, sentiment and affect analysis, social behaviors and engagement. Further, it examines neural and machine learning algorithms for the implementation of advanced telecommunication systems, communication with people with special needs, emotionmodulation by computer contents, advanced sensors for tracking changes in real-life and automatic systems, as well as the development of advanced human–computer interfaces. The book does not focus on solvin
出版日期Book 2020
關(guān)鍵詞Social Science Scholarship; Machine Learning Methods; User Modelling; Neural Networks; Artificial Intell
版次1
doihttps://doi.org/10.1007/978-981-13-8950-4
isbn_softcover978-981-13-8952-8
isbn_ebook978-981-13-8950-4Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges影響因子(影響力)




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges被引頻次




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges被引頻次學(xué)科排名




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges年度引用




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges年度引用學(xué)科排名




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges讀者反饋




書(shū)目名稱(chēng)Neural Approaches to Dynamics of Signal Exchanges讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:28:33 | 只看該作者
Music Genre Classification Using Stacked Auto-Encodersf 57 peculiar features extracted?from the music signals. Some experimental results show the effectiveness of the proposed approach with respect to other state-of-the-art methods. In particular, the proposed architecture is compared?to the support vector machine (SVM), multi-layer perceptron (MLP) and logistic regression (LR).
板凳
發(fā)表于 2025-3-22 03:05:24 | 只看該作者
Dimension Reduction Techniques in a Brain–Computer Interface Applicationmparing four different dimension reduction techniques in combination with linear and nonlinear classifiers, we show that integrating these methods in a BCI system results in a reduced?model complexity without affecting overall accuracy.
地板
發(fā)表于 2025-3-22 05:22:14 | 只看該作者
Inverse Classification for Military Decision Support Systemserted, we propose a new approach that exploits all the information associated with the decisions observed in the past. The experimental results prove the feasibility of the proposed algorithm, with errors lower than 10% with respect to standard classification models.
5#
發(fā)表于 2025-3-22 10:07:40 | 只看該作者
6#
發(fā)表于 2025-3-22 14:37:09 | 只看該作者
2190-3018 m medical diagnosis to entertainment devices.Describes reseaThe book presents research that contributes to the development of intelligent dialog systems to simplify diverse aspects of everyday life, such as medical diagnosis and entertainment. Covering major thematic areas: machine learning and arti
7#
發(fā)表于 2025-3-22 18:04:22 | 只看該作者
8#
發(fā)表于 2025-3-23 00:04:52 | 只看該作者
Reconstruction, Optimization and?Quality Check of Microsoft HoloLens-Acquired 3D Point Cloudsped, in order to quantify and compare the goodness of the obtained outputs.?Finally, in order to check the quality of the proposed approach,?a reconstructed model is tested in a virtual scenario implemented in Unity. 3D Game Engine.
9#
發(fā)表于 2025-3-23 02:15:20 | 只看該作者
10#
發(fā)表于 2025-3-23 07:39:10 | 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, 2025-10-6 12:37
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
乌苏市| 龙里县| 金华市| 铜川市| 吐鲁番市| 漯河市| 崇仁县| 达孜县| 滨海县| 隆昌县| 黑河市| 嘉祥县| 襄樊市| 芦山县| 中山市| 若尔盖县| 绿春县| 吴桥县| 泰宁县| 惠州市| 双牌县| 西充县| 南阳市| 体育| 库尔勒市| 万盛区| 屏山县| 分宜县| 邢台市| 石泉县| 雷州市| 河北省| 大英县| 邓州市| 尉犁县| 平阴县| 奎屯市| 阿城市| 社旗县| 汶川县| 大关县|