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

6,813 篇 会议
647 册 图书
129 篇 期刊文献

馆藏范围

7,587 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

3,911 篇 工学
- 3,099 篇 计算机科学与技术...
- 1,406 篇 软件工程
- 797 篇 电气工程
- 690 篇 信息与通信工程
- 514 篇 控制科学与工程
- 301 篇 生物工程
- 283 篇 生物医学工程（可授...
- 270 篇 机械工程
- 191 篇 光学工程
- 164 篇 电子科学与技术（可...
- 145 篇 仪器科学与技术
- 140 篇 化学工程与技术
- 64 篇 安全科学与工程
- 46 篇 材料科学与工程（可...
- 42 篇 网络空间安全
- 41 篇 交通运输工程
1,224 篇 理学
- 674 篇 数学
- 357 篇 物理学
- 334 篇 生物学
- 198 篇 统计学（可授理学、...
- 147 篇 化学
- 105 篇 系统科学
561 篇 管理学
- 320 篇 管理科学与工程(可...
- 261 篇 图书情报与档案管...
- 59 篇 工商管理
276 篇 医学
- 230 篇 临床医学
- 109 篇 基础医学(可授医学...
- 75 篇 药学(可授医学、理...
66 篇 法学
- 62 篇 社会学
51 篇 艺术学
- 49 篇 设计学（可授艺术学...
42 篇 农学
21 篇 教育学
19 篇 文学
18 篇 经济学
5 篇 军事学

主题

3,174 篇 pattern recognit...
537 篇 feature extracti...
430 篇 artificial intel...
386 篇 neural networks
298 篇 machine learning
295 篇 data mining
235 篇 face recognition
224 篇 pattern matching
216 篇 support vector m...
203 篇 image segmentati...
194 篇 pattern classifi...
194 篇 computer imaging...
183 篇 computer science
183 篇 local binary pat...
168 篇 computational mo...
159 篇 computer vision
147 篇 computer applica...
147 篇 humans
145 篇 testing
144 篇 accuracy

机构

40 篇 school of comput...
38 篇 national laborat...
25 篇 indian institute...
25 篇 institute of ima...
24 篇 center for resea...
24 篇 computer vision ...
22 篇 institute of ima...
22 篇 university of ch...
21 篇 auckland univers...
21 篇 department of co...
20 篇 city university ...
20 篇 indian statistic...
19 篇 murdoch universi...
19 篇 national laborat...
19 篇 institute of com...
18 篇 king fahd univer...
16 篇 tongji universit...
16 篇 chinese academy ...
15 篇 institute for pa...
14 篇 national center ...

作者

35 篇 yang jie
31 篇 de-shuang huang
25 篇 tieniu tan
23 篇 umapada pal
21 篇 mufti mahmud
19 篇 zohreh doborjeh
19 篇 ryszard tadeusie...
19 篇 m. tanveer
19 篇 andrew chi sing ...
19 篇 kevin wong
19 篇 liang wang
18 篇 ajith abraham
18 篇 maryam doborjeh
17 篇 marcin korytkows...
17 篇 lu hanqing
17 篇 jacek m. zurada
17 篇 leszek rutkowski
16 篇 jie yang
16 篇 zhenan sun
16 篇 shamsuddin siti ...

语言

7,247 篇 英文
275 篇 其他
82 篇 中文

检索条件"任意字段=International Conference of Soft Computing and Pattern Recognition"

共 7589 条记录，以下是1491-1500 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：

international conference on Artificial Intelligence in China, ChinaAI 2019

International Conference on Artificial Intelligence in China...

引用

international conference on Artificial Intelligence in China, ChinaAI 2019

ISBN: (纸本)9789811501869

The proceedings contain 79 papers. The special focus in this conference is on Artificial Intelligence in China. The topics include: Latency Estimation of Big Data Processing Under the MapReduce Framework with Coupling Effects;zone-Based Resource Allocation Strategy for Heterogeneous Spark Clusters;battle Prediction System in StarCraft Combined with Topographic Considerations;task Scheduling Strategy for Heterogeneous Spark Clusters;research on Multi-priority Task Scheduling Algorithms for Mobile Edge computing;Microblog Rumor Detection Based on Comment Sentiment and CNN-LSTM;a Guideline for Object Detection Using Convolutional Neural Networks;research on Prediction Model of Gas Emission Based on Lasso Penalty Regression Algorithm;plant Diseases Identification Based on Binarized Neural Network;water Meter Reading Area Detection Based on Convolutional Neural Network;A Dependency-Extended Method of Multi-pattern Matching for RDF Graph;Machine Learning for RF Fingerprinting Extraction and Identification of soft-Defined Radio Devices;analysis on Suppression of Echo Signal of Target Body and Translation in Micro-Doppler Signal Processing;Weighted Least Square Support Vector Regression Method with GGP-Based Sequential Sampling;data Stream Adaptive Partitioning of Sliding Window Based on Gaussian Restricted Boltzmann Machine;intrusion Detection Based on Convolutional Neural Network in Complex Network Environment;application of Neural Network in Performance Evaluation of Satellite Communication System: Review and Prospect;construction of Marine Target Detection Dataset for Intelligent Radar Application;pedestrian Retrieval Using Valuable Absence Augmentation;hand Detection Based on Multi-scale Fully Convolutional Networks;An End-to-End Neural Network Model for Blood Pressure Estimation Using PPG Signal;concept Drift Detection Based on Kolmogorov–Smirnov Test;Millimeter-Wave Beamforming of UAV Communications for Small Cell Coverage.

关键词：

来源：评论

学校读者我要写书评

暂无评论

international conference on Cognitive Informatics and soft computing, CISC 2017

International Conference on Cognitive Informatics and Soft C...

引用

international conference on Cognitive Informatics and soft computing, CISC 2017

ISBN: (纸本)9789811306167

The proceedings contain 74 papers. The special focus in this conference is on Cognitive Informatics and soft computing. The topics include: Data mining approaches for correlation and cache replacement in wireless ad hoc networks;an approach to detect an image as a selfie using object recognition methods;t wave analysis: Potential marker of arrhythmia and ischemia detection-a review;functional link artificial neural network (flann) based design of a conditional branch predictor;development of a model recommender system for agriculture using apriori algorithm;emotion speech recognition based on adaptive fractional deep belief network and reinforcement learning;concept-based electronic health record retrieval system in healthcare iot;hybrid cat using bayes classification and two-parameter model;a change detection technique using rough c-means on medical images;categorizing kidney stones using region properties and pixel intensity matrix;malware architectural view with performance analysis in network at its activation state;non-linear analysis of time series generated from the freeman k-set model;novel approach to segment the pectoral muscle in the mammograms;performance analysis of tcp variants using routing protocols of manet in grid topology;an ensemble feature selection framework of sonar targets using symmetrical uncertainty and multi-layer perceptron (su-mlp);autonomous path guiding robot for visually impaired people;analysis of diabetes for indian ladies using deep neural network;deep neural network based speech enhancement;wind power forecasting using support vector machine model in rstudio;a survey: Classification of big data;security measures in distributed approach of cloud computing;review paper: Licence plate and car model recognition.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Two Confirmation Bias Models for Analyzing Biased pattern Classification Processes

Two Confirmation Bias Models for Analyzing Biased Pattern Cl...

引用

international Symposium on soft computing and Intelligent Systems (SCIS)

作者： Kazunori Fujimoto Faculty of Business Administration Kindai University Osaka Japan

ISBN: (数字)9781728197326

ISBN: (纸本)9781728197333

This paper presents a mathematical model of the two types of the confirmation biases, Z - and E-types, for analyzing the pattern classification processes where the decision maker suffers from a confirmation bias. Persons suffering from Z-type receive a signal and perceive it incorrectly as a different signal with a certain probability, while those suffering from E-type fail to receive a signal with a certain probability. In contrast to our previous models, which assume the signals and the options basically as the binary random variables, the models presented in this paper are based on the pattern classification processes, where (i) the state of world that maximizes the posterior probability is selected from more than or equal to two possible states and (ii) the time-series of the continuous-valued signals are used for the probability calculation. The proposed models enable us to analyze the dynamical properties of the confirmation biases in the context of the pattern classification processes.

关键词： Random variables Mathematical model Standards Shape Faces Time-domain analysis Probability density function

来源：评论

学校读者我要写书评

暂无评论

A multi-scale context encoder for high quality restoration of facial images

A multi-scale context encoder for high quality restoration o...

引用

international conference on Multimedia Analysis and pattern recognition (MAPR)

作者： Trung Dung Do Quoc Khanh Nguyen Viet Hung Nguyen Faculty of Information Technology Le Quy Don Technical University Hanoi Vietnam

ISBN: (数字)9781728165554

ISBN: (纸本)9781728165561

In recent years, with the growth of data, storage and computing power many challenging problems can be solved. One of the most challenging and interesting tasks is to recover data in pixel level of image without using any additional information. Context encoder, a combination of auto-encoder and GAN, uses an unsupervised visual feature learning algorithm to predict missing pixel data in images. This paper presents a novel method to extract features in context encoder to restore high quality facial image. Instead of computing features from a single scale input image, the proposed method utilizes features from multiscale input images to create features in the encoder step. The features are then fed into the decoder to create image with the needed information after feature aggregation in different ways. The restored images after using decoder and the original ones are then provided to a discriminator to make the network creating a looked-real image. Experimental results on some public data sets such as CELEBA-HQ and LFW show that the proposed method with features in multi-scale achieves a promising result compared with the original one.

关键词： Visualization Feature extraction Prediction algorithms Image restoration Decoding pattern recognition Task analysis

来源：评论

学校读者我要写书评

暂无评论

GPU Approach for Handwritten Devanagari Document Binarization

GPU Approach for Handwritten Devanagari Document Binarizatio...

引用

international conference on Smart Innovations in Communications and Computational Sciences (ICSICCS)

作者： Arora, Sandhya Jahirabadkar, Sunita Kulkarni, Anagha Cummins Coll Engn Women Dept Comp Engn Pune Maharashtra India Cummins Coll Engn Women IT Dept Pune Maharashtra India

ISBN: (纸本)9789811089718;9789811089701

The optical character recognition (OCR) is the process of converting scanned images of machine printed or handwritten text, numerals, letters, and symbols into a computer processable format such as ASCII. For creating OCR's paperless application, a system of high speed and of better accuracy is required. Parallelization of algorithm using graphics processing unit (GPU) along with CPU can be used to speed up the processing. In GPU computing, the compute-intensive operations are performed on GPU while serial code still runs on CPU. Binarization is one of the most fundamental preprocessing techniques in the area of image processing and pattern recognition. This paper proposes an adaptive threshold binarization algorithm for GPU. The aim of this research work is to speed up binarization process that eventually will help to accelerate the processing of document recognition. The algorithm implementation is done using Compute Unified Device Architecture (CUDA) software interface by NVIDIA. An average speedup of 2 x is achieved on GPU GeForce 210 having 16 CUDA cores and 1.2 compute level, over the serial implementation.

关键词： CUDA GPU OCR Binarization Parallelization pattern recognition

来源：评论

学校读者我要写书评

暂无评论

Analysis of Dorsal Palm Vein pattern recognition System 9

Analysis of Dorsal Palm Vein Pattern Recognition System

引用

9th IEEE international conference on Intelligent computing and Information Systems, ICICIS 2019

作者： Rabie, Sherok M. Ebied, Hala M. Bayoumi, Sahar Institute of Graduate Studies Research Alexandria University Information Technology Department Alexandria Egypt Faculty of Computer and Information Sciences Ain Shams University Scientific Computing Department Cairo Egypt King Saud University Saudi Arabia

ISBN: (纸本)9781728139951

Individuals classification and recognition processes are a substantial growing field in many industry fields. In this paper, we presented a dorsal palm vein pattern recognition approach. Two approaches are presented. The first approach used the Principal Component Analysis (PCA) to extract features from images then the Multi-layer perceptron neural network for recognition step. The second approach Bag of features (BOF) used the Speeded-Up Robust Features (SURF) to extract local features from the training set for interest point selection then clustered in a representation set. The Support Vector Machine (SVM) technique is used in the classification phase. A comparison between the two approaches is proposed to observe the best approach that archived the higher classification accuracy. Here the dorsal palm vein images of the PUT database are used. The experiments show that the use of BOF is much better than PCA and MLP. Our experimental is able to recognize humans with accuracy 98% based on the BOF method. © 2019 IEEE.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Artificial Life Intelligence for Individual and Societal Accomplishment 18

Artificial Life Intelligence for Individual and Societal Acc...

引用

18th IEEE international conference on Cognitive Informatics and Cognitive computing (ICCI*CC)

作者： Ramanathan, Janani Mothers Serv Soc Pondicherry India

ISBN: (纸本)9781728114194

This paper explores the potential of the rapidly evolving fields of Natural Language Processing and Affective computing and proposes future applications that combine the power of both fields to assist individuals in their personal and collective accomplishment. It studies the latest developments in the field of Emotion Detection and recognition from facial expression, voice and text and discusses the shortcomings in current analysis systems. Human subjectivity is key to every choice, decision and act of individuals, and a comprehensive knowledge of human psychology is essential for effective analysis. As Emotional AI transcends the physical parameters and moves closer to understanding the emotional and mental human being in future, and Deep Learning enables greater comprehension of unstructured textual and audio-visual data, Cognitive computing can employ big data processing to assist humans in acquiring scholarship, anticipating social trends and even understanding life. The paper concludes with a proposal for a revolutionary field of Artificial Life Intelligence that can promote universal human welfare.

关键词： Affective computing Emotional AI Natural Language Processing Natural Language Understanding Big Data Processing pattern recognition Human Psychology Principles ofAccomplishment Social Evolution Character ofLife

来源：评论

学校读者我要写书评

暂无评论

Squirrel-Cage Induction Motor Malfunction Detection Using Computational Intelligence Methods 18th

Squirrel-Cage Induction Motor Malfunction Detection Using Co...

引用

18th international conference on Artificial Intelligence and soft computing (ICAISC)

作者： Rzecki, Krzysztof Wojcik, Bartosz Baran, Mateusz Sulowicz, Maciej Cracow Univ Technol Fac Phys Math & Comp Sci Ul Warszawska 24 PL-31155 Krakow Poland Cracow Univ Technol Fac Elect & Comp Engn Ul Warszawska 24 PL-31155 Krakow Poland

ISBN: (纸本)9783030209124;9783030209117

The squirrel-cage induction motors (commonly called just electric motors) are widely used in electromechanical devices. They usually act as a source of mechanical power for different types of industrial machines. There is a natural life cycle of such electric motors ending in malfunction caused by damage of particular electric or mechanical parts. Sudden and unforeseen engine failure may turn out to be a heavy cost for the company. Early detection of motor damage can minimize repair costs. In this work a machine-learning based methodology for early motor malfunction detection is presented. A test stand with a three-phase induction motor that can simulate various types of stator winding short-circuit faults under load controlled by a DC generator was build. This stand was equipped with multiple sensors for continuous monitoring. Readings from sensors were collected for different loads and types of damage. Multiple methods of preprocessing and classification were tested. Sensors types are evaluated for accuracy of malfunction recognition based on the results of computational experiments. The 5-fold stratified cross-validation was used for evaluation of preprocessing steps and classifiers. The best results were achieved for neutral voltage, axial flux, and torque sensors. Acquisition time of 0.16 s is sufficient for accurate classification.

关键词： Induction motor Malfunction detection Classification pattern recognition Computational intelligence methods

来源：评论

学校读者我要写书评

暂无评论

An approach for signature recognition using contours based technique

An approach for signature recognition using contours based t...

引用

international conference on Advanced Mechatronic Systems (ICAMechS)

作者： Aravinda, C., V Meng, Lin Reddy, Uday Kumar K. R. NMAM Inst Technol Dept Comp Sci & Engn Nitte 574110 India Ritsumeikan Univ Coll Sci & Engn 1-1-1 Noji Higashi Kusatsu Shiga 5258577 Japan

ISBN: (纸本)9781728134802

This research work addresses the problem of signature verification and recognition using contours based features and ANN classifier. In this work new features are proposed for signature verification and recognition. As extensive research works has been carried out in the area of HSVR signature verification and recognition by several researchers over the past two decades, many methodologies found in the literature survey. Signature plays a vital role in many fields, generally it is used for personal authentication or gaining control over a system or computing facility, physical entry to protected areas. The signature biometric problem has 2 different perspectives baed on PR. 1)Verification and 2) recognition. In verification, features of a test signature are contrasted with features of a limited set signatures,where the class identity is claimed, whereas, in recognition, the presence of an identity test signature in the database is ascertained. There are two types of variations in signature samples Intraclass variations Interclass variations Intraclass variations are intricate variations of a person's signature, and interclass variations are refer to variations of different person's signature. In this exploration work, problem of effective HSVR is addressed. We propose effective feature extraction and combination of features for verification and recognition of signatures. recognition involves FM-stage that extends to entire database.

关键词： Artificial Neural Network Handwritten Signature Verification and recognition pattern recognition Feature Matching

来源：评论

学校读者我要写书评

暂无评论

1st international Congress on Blockchain and Applications, BLOCKCHAIN 2019

1st International Congress on Blockchain and Applications, B...

引用

1st international Congress on Blockchain and Applications, BLOCKCHAIN 2019

ISBN: (纸本)9783030238124

The proceedings contain 21 papers. The special focus in this conference is on Blockchain and Applications. The topics include: Anticipatory policy as a design challenge: Experiments with stakeholders engagement in blockchain and distributed ledger technologies (bdlts);the electronic bill of lading: Challenges of paperless trade;a methodology for a probabilistic security analysis of sharding-based blockchain protocols;the “Tokenization” of the eparticipation in public governance: An opportunity to hack democracy;blockchain approach to solve collective decision making problems for swarm robotics;prediction of transaction confirmation time in ethereum blockchain using machine learning;improving event monitoring in iot network using an integrated blockchain-distributed pattern recognition scheme;on value preservation with distributed ledger technologies, intelligent agents, and digital preservation;blockchain technology: A review of the current challenges of cryptocurrency;lightning network: A comparative review of transaction fees and data analysis;a blockchain- and ai-based platform for global employability;blockchain and biometrics: A first look into opportunities and challenges;do smart contract languages need to be turing complete?;towards integration of blockchain and iot: A bibliometric analysis of state-of-the-art;clinicappchain: A low-cost blockchain hyperledger solution for healthcare;smart contracts are more than objects: Pro-activeness on the blockchain;blockchain based informed consent with reputation support;privacy centric collaborative machine learning model training via blockchain;fuzzy rules based solution for system administration security management via a blockchain.

关键词：

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500页 << < 146 147 148 149 150 151 152 153 154 155 > >>

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：