检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,327 篇 会议
11 篇 期刊文献
9 册 图书

馆藏范围

1,347 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

915 篇 工学
- 757 篇 计算机科学与技术...
- 497 篇 软件工程
- 304 篇 信息与通信工程
- 205 篇 电气工程
- 175 篇 生物工程
- 127 篇 生物医学工程（可授...
- 107 篇 光学工程
- 90 篇 控制科学与工程
- 80 篇 电子科学与技术（可...
- 58 篇 仪器科学与技术
- 48 篇 机械工程
- 35 篇 化学工程与技术
- 28 篇 安全科学与工程
- 26 篇 交通运输工程
425 篇 理学
- 189 篇 生物学
- 187 篇 数学
- 151 篇 物理学
- 76 篇 统计学（可授理学、...
- 54 篇 系统科学
- 40 篇 化学
170 篇 管理学
- 106 篇 图书情报与档案管...
- 73 篇 管理科学与工程(可...
- 40 篇 工商管理
146 篇 医学
- 130 篇 临床医学
- 88 篇 基础医学(可授医学...
- 65 篇 药学(可授医学、理...
- 24 篇 公共卫生与预防医...
28 篇 教育学
- 28 篇 教育学
27 篇 法学
- 21 篇 社会学
18 篇 经济学
- 17 篇 应用经济学
16 篇 农学
5 篇 军事学
1 篇 文学
1 篇 历史学

主题

211 篇 machine learning
134 篇 deep learning
78 篇 signal processin...
72 篇 accuracy
71 篇 feature extracti...
68 篇 signal processin...
61 篇 support vector m...
57 篇 machine learning...
46 篇 predictive model...
33 篇 neural networks
32 篇 convolutional ne...
31 篇 random forests
29 篇 computational mo...
29 篇 training
26 篇 natural language...
26 篇 prediction algor...
21 篇 technological in...
20 篇 real-time system...
19 篇 adversarial mach...
18 篇 image processing

机构

16 篇 chitkara centre ...
14 篇 centre of resear...
12 篇 shenyang ligong ...
6 篇 chitkara univers...
6 篇 ai & ds vishwaka...
6 篇 school of inform...
5 篇 department of me...
5 篇 khulna universit...
5 篇 department of co...
4 篇 delhi technologi...
4 篇 heilongjiang uni...
4 篇 department of s&...
4 篇 beijing univ pos...
4 篇 it vishwakarma i...
4 篇 chitkara univers...
4 篇 department of co...
4 篇 sri lanka instit...
4 篇 advanced telecom...
4 篇 shenyang ligong ...
4 篇 graduate school ...

作者

6 篇 mehta shiva
5 篇 rasmita panigrah...
4 篇 neelamadhab padh...
4 篇 wang xin
3 篇 m. vigenesh
3 篇 baydeti nagaraju
3 篇 sinambela marzuk...
3 篇 santosh kumar sh...
3 篇 ganapati panda
3 篇 debendra muduli
3 篇 abujar sheikh
3 篇 a. sivanantham
3 篇 li yajie
3 篇 li aihua
3 篇 zhou feng
3 篇 islam md. sanzid...
2 篇 aira kharvel par...
2 篇 nokshangthemba
2 篇 maheswara rao v ...
2 篇 lee tzong-ru

语言

1,273 篇 英文
65 篇 其他
11 篇 中文

检索条件"任意字段=Proceedings of the 2019 2nd International Conference on Signal Processing and Machine Learning"

共 1347 条记录，以下是1001-1010 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

2nd international Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2019, 1st international Workshop on Pattern Recognition for Cultural Heritage, PatReCH 2019, 1st international Workshop eHealth in the Big Data and Deep learning Era, e-BADLE 2019, international Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments, DEEPRETAIL 2019 and Industrial session held at the 20th international conference on Image Analysis and processing, ICIAP 2019

2nd International Workshop on Recent Advances in Digital Sec...

引用

2nd international Workshop on Recent Advances in Digital Security: Biometrics and Forensics, BioFor 2019, 1st international Workshop on Pattern Recognition for Cultural Heritage, PatReCH 2019, 1st international Workshop eHealth in the Big Data and Deep learning Era, e-BADLE 2019, international Workshop on Deep Understanding Shopper Behaviors and Interactions in Intelligent Retail Environments, DEEPRETAIL 2019 and Industrial session held at the 20th international conference on Image Analysis and processing, ICIAP 2019

ISBN: (纸本)9783030307530

The proceedings contain 39 papers. The special focus in this conference is on Recent Advances in Digital Security. The topics include: Modern vs Diplomatic Transcripts for Historical Handwritten Text Recognition;improving Ancient Cham Glyph Recognition from Cham Inscription Images Using Data Augmentation and Transfer learning;Oracle Bone Inscription Detector Based on SSD;shot Boundary Detection for Automatic Video Analysis of Historical Films;the Epistle to Cangrande Through the Lens of Computational Authorship Verification;a Cockpit of Measures for Image Quality Assessment in Digital Film Restoration;augmented Reality for the Valorization and Communication of Ruined Architecture;classification of Arabic Poems: from the 5th to the 15th Century;a Page-Based Reject Option for Writer Identification in Medieval Books;on the Cross-Finger Similarity of Vein Patterns;minimizing Training Data for Reliable Writer Identification in Medieval Manuscripts;fusion of Visual and Anamnestic Data for the Classification of Skin Lesions with Deep learning;slide Screening of Metastases in Lymph Nodes via Conditional, Fully Convolutional Segmentation;A learning Approach for Informative-Frame Selection in US Rheumatology Images;a Serious Game to Support Decision Making in Medical Education;nerve Contour Tracking for Ultrasound-Guided Regional Anesthesia;Skin Lesions Classification: A Radiomics Approach with Deep CNN;semantic 3D Object Maps for Everyday Robotic Retail Inspection;collecting Retail Data Using a Deep learning Identification Experience;a Large Scale Trajectory Dataset for Shopper Behaviour Understanding;Improving Multi-scale Face Recognition Using VGGFace2;An IOT Edge-Fog-Cloud Architecture for Vision Based Pallet Integrity;the Vending Shopper Science Lab: Deep learning for Consumer Research.

关键词：

来源：评论

学校读者我要写书评

暂无评论

2nd international conference on Emerging Trends in Electrical, Electronic and Communications Engineering, ELECOM 2018

2nd International Conference on Emerging Trends in Electrica...

引用

2nd international conference on Emerging Trends in Electrical, Electronic and Communications Engineering, ELECOM 2018

ISBN: (纸本)9783030182397

The proceedings contain 38 papers. The special focus in this conference is on Emerging Trends in Electrical, Electronic and Communications Engineering. The topics include: A Smart Precision Irrigation and Monitoring System;Performance Evaluation of an IPv6 IoT Network Based on 802.11 Standard;The Parser Function for D61 Files of Narda AMS 8061 Stations in EMF RATEL Monitoring System;Software Realization of the Exposure Assessment in EMF RATEL Monitoring System;forecasting Model for Voice and Internet Data Traffic During Peak Time Using Hidden Markov Model;Optimizing the Performance of Triple-Binary Turbo Codes with Hierarchical QAM and K-NN Based Classification;signal Distortion Identification Using Rough Flow Graphs;noise Mitigation in a Power Line Communication Channel;a Model for Classifying People at Risk of Diabetes Mellitus Using Social Media Analytics;a machine learning Approach for Idle State Network Anomaly Detection;a Jaya-Based Invasive Weed Optimization Technique for Load Frequency Control;Object Storage System Using Replication and Erasure Codes (OSSREC);improving Effectiveness of Honeypots: Predicting Targeted Destination Port Numbers During Attacks Using J48 Algorithm;sirius: A Resource for Analyzing Drug-Disease Relationships for Drug Repositioning;enhancing learning at Primary School Through Augmented Reality;analyzing the Prospects and Acceptance of Mobile-Based Marine Debris Tracking;the Analysis and the Need of Ubiquitous learning to Engage Children in Coding;Adaptive Smart Car Park System (ASCaPS) Utilising CCTV Nodes and Mobile Technology;elderly Care Assistant: A Discreet Monitoring Tool;a Hybrid Approach for Recommender Systems in a Proximity Based Social Network;a Hybrid Optimisation Algorithm for Voltage Control.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Bearing fault diagnosis from raw vibration signals using multi-layer extreme learning machine 14

Bearing fault diagnosis from raw vibration signals using mul...

引用

14th IEEE international conference on Electronic Measurement and Instruments (ICEMI)

作者： Zhao Guangquan Wu Kankan Gao Yongcheng Liu Yongmei Hu Cong Harbin Inst Technol Sch Elect & Informat Engn Harbin 150080 Peoples R China Shanghai Inst Satellite Engn Shanghai 200240 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Automat Detecting Technol & Instr Guilin 541004 Peoples R China

ISBN: (数字)9781728105109

ISBN: (纸本)9781728105109

In recent years, machine learning technology is widely used in the field of fault diagnosis for bearings. Although these methods usually work well, the following defects still exist when they are dealing with large amount of fault data: (1) feature extraction methods need to rely on expertise or signal processing technologies. Therefore, there is a lack of a feature extraction problems;mapping diagnostic method that is common to different diagnostic (2) shallow models can't learn more complex relationships well;(3) traditional intelligent methods are usually computationally intensive and slow in convergence. Inspired by the Auto-encoder's (AE) feature extraction capability and fast training speed of the Extreme learning machine (ELM), a new fault diagnosis method for hearings based on Extreme learning machine-Autoencoder (ELM AE)is proposed in this paper. With its automatic feature extraction capability and very efficient learning strategy, the raw vibration signals of bearings are directly sent to the model without any manual feature extraction for fault diagnosis, which overcomes the above drawbacks. The experimental results on CWRU hearing dataset show that the proposed method takes into account both diagnostic accuracy and time efficiency. Compared with existing literatures, our proposed method obtains superior accuracy.

关键词： Fault diagnosis rolling bearing multi-layer extreme learning machine vibration signal

来源：评论

学校读者我要写书评

暂无评论

Reasoning and learning in a digital economy. Technological challenges of the modern age 2

Reasoning and learning in a digital economy. Technological c...

引用

2nd international Scientific conference on Digital Transformation on Manufacturing, Infrastructure and Service (DTMIS)

作者： Vorobyov, Sergey Perlovsky, Leonid Yadykin, Vladimir Ward Howell Int Trehgorny Per 15 Moscow 123022 Russia Peter Great St Petersburg Polytech Univ Polytech Skaya St 29 St Petersburg 195251 Russia

Rapid growth in the digital economy creates both additional opportunities and additional challenges for organizations. Artificial intelligence and robotics facilitate and automate a large number of human tasks. Today's tools - "intelligent assistants" - in large part are capable of processing incoming information, which in the past was processed exclusively by humans. These changes will lead to a significant change in the labor market. Leaders in the new knowledge economy will differ not only in being aided by "intelligent assistants", but also in how their employees interact with these tools and make complex decisions required for their work. The greater is the use of "intelligent assistants", the more important will be the decisions that people will make between each other. Organization of continuous training of employees in effective communication is today an increasingly popular innovational strategy in companies. How do we remove communication barriers between employees, between teams, and between man and machine? This paper proposes a solution to the posed problem of ensuring the most effective communication using methods developed in physics of the mind and Dynamic Logic.

关键词： E-learning

来源：评论

学校读者我要写书评

暂无评论

Performance Comparison of FFT, DCT, DWT and DDDWT-OFDM in Rayleigh Channel 2

Performance Comparison of FFT, DCT, DWT and DDDWT-OFDM in Ra...

引用

2nd international conference on Smart Systems and Inventive Technology, ICSSIT 2019

作者： Leela Rani, D. Bharathi, M. Padmaja, N. Centre of Communication and Signal Processing SVEC Department of ECE Tirupati517102 India Centre of VLSI and Embedded Systems SVEC Department of ECE Tirupati517102 India

ISBN: (纸本)9781728121192

Cost effective, easily accessible and high speed wireless communication systems are of great demand. Hence implementation of efficient methods to improve spectral efficiency and Bit Error Rate (BER) performance in multicarrier systems has become an important issue. Conventional Orthogonal Frequency Division Multiplexing (OFDM) is a multicarrier technique to increase data rates of wireless communication channel. Implementation of conventional OFDM system involves Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) at Transmitter and Receiver. Besides numerous advantages with these systems, Cyclic Prefix has to be appended to minimize Inter Symbol Interference (ISI) and increase Spectral efficiency. Wavelet based system on the other hand avoids cyclic prefix requirement, provides side lobes which are very narrow, improves spectral efficiency and better BER performance. The performance of conventional multicarrier FFT-OFDM can be improved by the application of Wavelet Transforms like Discrete Wavelet Transform (DWT), Double Density Discrete Wavelet Transforms (DDDWT). The performance is compared in terms of BER verses SNR using Discrete Cosine Transform (DCT), DWT and DDDWT. The complex wavelet transforms based OFDM performed better than conventional multicarrier FFT-OFDM. © 2019 IEEE.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

KSUMM: A Compressed Domain Technique for Video Summarization Using Partial Decoding of Videos 2nd

KSUMM: A Compressed Domain Technique for Video Summarization...

引用

2nd international conference on Advanced Informatics for Computing Research (ICAICR)

作者： Basavarajaiah, Madhushree Sharma, Priyanka Nirma Univ Inst Technol Dept Comp Engn Ahmadabad Gujarat India

ISBN: (纸本)9789811331404;9789811331398

Generally, the videos are encoded before storing or transmitting. Traditional video processing techniques are compute intensive as they require decoding of the video before processing it. The compressed domain processing of video is an alternative approach where computational overhead is less because a partial decoding is sufficient for many applications. This paper proposes a video summarization technique, KSUMM, that works in the compressed domain. Based on the features extracted from just the I-frames of the video, frames are classified into a predefined number of classes using K-means clustering. Then, the frame which is located at the border of a class in the sequential order is selected to be included in the summary. The length of the summary video can be customized by varying the number of classes during clustering. The quality of the summary was evaluated using Mean Opinion Scores method and the result shows a good Quality of Experience.

关键词： Video summarization machine learning Video abstraction Compressed video processing

来源：评论

学校读者我要写书评

暂无评论

Novel Classification Method of Spikes Morphology in EEG signal Using machine learning 2

Novel Classification Method of Spikes Morphology in EEG Sign...

引用

2nd international conference on Intelligent Computing in Data Sciences (ICDS)

作者： Khouma, Ousmane Diop, Idy Fall, Papa A. ndiaye, Mamadou L. Farssi, Sidi M. Oussamatou, Abdou M. Diouf, Birahime Cheikh Anta Diop Univ Med Imagery & Bioinformat Lab LIMBI ESP Dakar Senegal Univ Gaston Berger St Louis Senegal

Since its invention in 1929 by Hans Berger, the electroencephalography (EEG) is the subject of several researches by its importance in the understanding of epilepsy in general and particularly in the diagnosis but especially in the near-surgical evaluation of the disease. EEG is a signal acquisition tool from cerebral electrical discharges. Recently Khouma [1] has proposed a tool to detect the Interictical Paroxystic Events (IPE) or spikes in EEG signals. In this paper, we propose a new classification method of spikes morphology based on the Support Vector machines (SVM). The SVM is a supervised classification method using kernel functions. It is a powerful technique and particularly useful for data whose distribution is unknown (EEG signals). We apply this technique to identify the different spikes morphologies in EEG signals. Different kernel functions (linear, polynomial, radial and sigmoidal) are used for experimental. Automatic treatment for identification spikes morphology could improve the diagnosis of epilepsy. (C) 2019 The Authors. Published by Elsevier B. V.

关键词： IPE Classification Support Vector machines Epilepsy

来源：评论

学校读者我要写书评

暂无评论

Ultrasound Tongue Image Classification using Transfer learning 19

Ultrasound Tongue Image Classification using Transfer Learni...

引用

proceedings of the 2019 2nd international conference on Digital Medicine and Image processing

作者： Yi Feng Xianglin Wang Business School Sichuan University Chengdu China School of Public Health Peking Union Medical College Beijing China

ISBN: (纸本)9781450376983

The ultrasound image of the tongue consists of high-level speckle noise, and efficient approach to interpret the image sequences is desired. Automatic ultrasound tongue image classification is of great interest for the clinical linguists, as hand labeling is costly. In this paper, we explore the classification of midsagittal tongue gestures by employing transfer- learning, which can be effective with limited labeled data size. Within the transfer-learning framework, four state- of-the-art convolutional neural network (CNN) architectures are used to make a quantitatively comparison. Classification experiments are conducted using the data from two females. Based on the experimental results, we observed that the learned knowledge from one subject can be transferred to improve the classification accuracy of another subject.

关键词： Tongue image classification Transfer learning Onvolutional neural network B-mode ultrasound imaging

来源：评论

学校读者我要写书评

暂无评论

IESC 2019 Message from conference Patron

IESC 2019 Message from Conference Patron

引用

international conference on Innovations in Electronics, signal processing and Communication (IESC)

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Markov Models for Detection of Ventricular Arrhythmia 41

Markov Models for Detection of Ventricular Arrhythmia

引用

41st Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Li, Zhi Derksen, Harm Gryak, Jonathan Hooshmand, Mohsen Wood, Alexander Ghanbari, Hamid Gunaratne, Pujitha Najarian, Kayvan Univ Michigan Dept Computat Med & Bioinformat Ann Arbor MI 48109 USA Univ Michigan Dept Math Ann Arbor MI 48109 USA Univ Michigan Dept Emergency Med Ann Arbor MI 48109 USA Univ Michigan Dept Internal Med Cardiol Ann Arbor MI 48109 USA Univ Michigan Michigan Ctr Integrat Res Crit Care Ann Arbor MI 48109 USA Toyota Motor North Amer Ann Arbor MI USA

ISBN: (纸本)9781538613115

The advent of portable cardiac monitoring devices has enabled real-time analysis of cardiac signals. These devices can be used to develop algorithms for real-time detection of dangerous heart rhythms such as ventricular arrhythmias. This paper presents a Markov model based algorithm for real-time detection of ventricular tachycardia, ventricular flutter, and ventricular fibrillation episodes. The algorithm does not rely on any noise removal pre-processing or peak annotation of the original signal. When evaluated using ECG signals from three publicly available databases, the model resulted in an AUC of 0.96 and F1-score of 0.91 for 5-second long signals and an AUC of 0.97 and F1-score of 0.93 for 2-second long signals.

关键词： Ventricular Tachycardia Ventricular Fibrillation machine learning Markov model ECG signal processing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共135页 << < 97 98 99 100 101 102 103 104 105 106 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：