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

624 篇 会议
229 篇 期刊文献
16 册 图书

馆藏范围

869 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

492 篇 工学
- 313 篇 计算机科学与技术...
- 231 篇 软件工程
- 146 篇 信息与通信工程
- 88 篇 电气工程
- 77 篇 电子科学与技术（可...
- 63 篇 控制科学与工程
- 55 篇 生物工程
- 48 篇 材料科学与工程（可...
- 42 篇 动力工程及工程热...
- 40 篇 化学工程与技术
- 38 篇 生物医学工程（可授...
- 35 篇 机械工程
- 26 篇 光学工程
- 19 篇 网络空间安全
- 17 篇 安全科学与工程
- 16 篇 冶金工程
284 篇 理学
- 148 篇 数学
- 98 篇 物理学
- 63 篇 生物学
- 48 篇 统计学（可授理学、...
- 42 篇 化学
- 30 篇 系统科学
- 16 篇 地球物理学
125 篇 管理学
- 64 篇 管理科学与工程(可...
- 63 篇 图书情报与档案管...
- 32 篇 工商管理
37 篇 医学
- 33 篇 临床医学
- 32 篇 基础医学(可授医学...
- 18 篇 公共卫生与预防医...
26 篇 法学
- 22 篇 社会学
13 篇 教育学
11 篇 经济学
7 篇 农学
2 篇 文学
1 篇 军事学

主题

27 篇 accuracy
25 篇 routing protocol...
23 篇 routing
23 篇 mathematical mod...
21 篇 machine learning
20 篇 computational mo...
20 篇 training
19 篇 ad hoc networks
19 篇 genetic algorith...
18 篇 feature extracti...
17 篇 mobile ad hoc ne...
17 篇 support vector m...
17 篇 information tech...
16 篇 algorithm design...
15 篇 computer science
15 篇 bandwidth
14 篇 data mining
14 篇 security
14 篇 testing
14 篇 artificial neura...

机构

34 篇 department of co...
28 篇 division of comp...
23 篇 department of co...
20 篇 department of co...
19 篇 department of in...
16 篇 netaji subhas un...
16 篇 division of info...
16 篇 division of comp...
15 篇 netaji subhas un...
14 篇 school of comput...
13 篇 division of comp...
12 篇 division of info...
12 篇 department of co...
11 篇 department of in...
11 篇 computer enginee...
10 篇 department of co...
10 篇 caitfs division ...
10 篇 division of elec...
9 篇 school of inform...
9 篇 department of co...

作者

23 篇 bhatia m.p.s.
22 篇 isaac woungang
21 篇 satish chand
19 篇 sanjay k. dhuran...
19 篇 sanjay kumar dhu...
17 篇 mohammad s. obai...
16 篇 kumar bijendra
16 篇 bijendra kumar
15 篇 dhurandher sanja...
14 篇 chakraborty pina...
14 篇 obaidat mohammad...
14 篇 smriti srivastav...
13 篇 woungang isaac
13 篇 anand gupta
12 篇 hasmat malik
12 篇 dhurandher sanja...
12 篇 sabharwal sangee...
12 篇 bhim singh
11 篇 samayveer singh
11 篇 chand satish

语言

812 篇 英文
41 篇 其他
18 篇 中文

检索条件"机构=Department of Computer Engineering Netaji Subhas Institute of Technology"

共 869 条记录，以下是431-440 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：

A New Image Steganography Technique Based on Pixel Intensity and Similarity in Secret Message

A New Image Steganography Technique Based on Pixel Intensity...

引用

2018 IEEE International Conference on Advances in Computing, Communication Control and Networking, ICACCCN 2018

作者： Malik, Aruna Kumar, Rajeev Singh, Samayveer School of Computing Science Engineering Galgotias University Gr Noida UP India Division of Computer Engineering Netaji Subhas Institute of Technology New Delhi India Department of Computer Science Engineering Bennett University Gr Noida UP India

ISBN: (纸本)9781538641194

In this paper, we propose a new enhanced image steganography scheme for color images. The proposed scheme is based on the pixel intensity of the cover image and the similarity in secret message. It can hide the secret text data into the color or gray scale images. In this scheme, we try to exploit the characteristic of the secret data which is the closeness in its basic elements. We firstly preprocess the secret data that is to be hidden;then the resultant secret data is embedded into the LSBs of the cover image according to intensity values of the pixels in cover image. In preprocessing, we actually divide the secret data into clusters in a sequential manner and then the basic information about each cluster such as its size, its minimum value and the cluster itself are embedded. The preprocessing reduces the size of the secret data significantly which helps in improving the quality of the stego-image. The security of this method also increases because of the preprocessing as the actual data is not embedded. © 2018 IEEE.

关键词： Cluster analysis

来源：评论

学校读者我要写书评

暂无评论

Modified Binary Dragonfly Algorithm for Feature Selection in Human Papillomavirus-Mediated Disease Treatment

Modified Binary Dragonfly Algorithm for Feature Selection in...

引用

International Conference on Communication, Computing and Internet of Things (IC3IoT)

作者： Ramit Sawhney Roopal Jain Department of Computer Engineering Netaji Subhas Institute of Technology Delhi India

ISBN: (纸本)9781538624609;9781538624593

Diseased caused through the rapid mediation of Human Papillomavirus (HPV) have surged in the recent decades. While there are a large amount of treatment methods, medical data is often voluminous, high dimensional and often has redundancy which make selection of a particular method difficult. Wrapper feature selection methods aim to extract a subset of features to improve computability as well as classification accuracy. To address this, we propose a modification to a relatively new evolutionary computation technique, the Binary Dragonfly algorithm (BDFA), by incorporating a penalty function for optimal feature selection. This wrapper based method using BDFA and Random forest classifier is employed on two treatment methods, Immunotherapy and Cryotherapy, showing an increase in both classification accuracy as well as feature reduction as compared to fuzzy rule based systems, genetic algorithms and random forest classifiers.

关键词： Feature extraction Classification algorithms Mathematical model Radio frequency Cryotherapy Evolutionary computation Immune system

来源：评论

学校读者我要写书评

暂无评论

An Evolutionary Learning Approach to Play Othello Using XCS

An Evolutionary Learning Approach to Play Othello Using XCS

引用

Congress on Evolutionary Computation

作者： Satvik Jain Siddharth Verma Swaraj Kumar Swati Aggarwal Department of Computer Engineering Netaji Subhas Institute of Technology Delhi India

Due to the multifarious challenges that emerge when developing an artificial intelligent (AI) agent that can compete with human players, the classic game of Othello has received a lot of attention from the Computational-Intelligence community. This paper proposes an AI agent that learns a winning strategy for the game of Othello using the eXtended Classifier System (XCS) algorithm which is a popular variant of the Learning Classifier System (LCS) algorithm. Othello has been a favourite in the study of AI due to its simple set of rules, low branching factor and well defined strategic concepts. The LCS system consists of a rule-set which is made to evolve using a combination of Reinforcement Learning (RL) and Genetic Algorithm (GA) such that the evolved rule-set learns an optimal action for each board state. A 6×6 Othello board will be used for this experiment in order to evaluate the applicability of the proposed agent in learning a winning game-playing strategy. The performance of the proposed agent was evaluated against three categories of agents: minimax, human and random agent. The XCS agent was able to outperform the above-mentioned agents showing the effectiveness of rule-based evolutionary learning in Othello. This work demonstrates the possibility of using the XCS algorithm in other strategy-based combinatorial games.

关键词： Games Sociology Statistics Learning (artificial intelligence) Genetic algorithms Biological system modeling

来源：评论

学校读者我要写书评

暂无评论

EEG Based Participant Independent Emotion Classification using Gradient Boosting Machines

EEG Based Participant Independent Emotion Classification usi...

引用

IEEE International Advance Computing Conference, IACC

作者： Sagar Aggarwal Luv Aggarwal Manshubh Singh Rihal Swati Aggarwal Department Of Computer Engineering Netaji Subhas Institute of Technology Dwarka Delhi India

ISBN: (纸本)9781538666791;9781538666784

Analysis of EEG (Electroencephalography) signals provides an alternative ingenious approach towards Emotion recognition. Nowadays, Gradient Boosting Machines (GBMs) have emerged as state-of-the-art supervised classification techniques used for robust modeling of various standard machine learning problems. In this paper, two GBM's (XGBoost and LightGBM) were used for emotion classification on DEAP Dataset. Furthermore, a participant independent model was fabricated by excluding participant number from features. The proposed approach performed well with high accuracies and faster training speed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cyberbullying: A Risk of CyberAddiction

Cyberbullying: A Risk of CyberAddiction

引用

International Conference on Advances in Computing, Communication Control and Networking (ICACCCN)

作者： Geetika Sarna MPS Bhatia Computer Engineering Department Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781538641200

With the advancement in the digital technologies, the internet has become major break-through and has been universally acceptable technology by the people of all the ages. They use the internet for the purpose of entertainment, shopping, gossiping, and playing games and also for harming the other users in the form of promoting fraud, cyberbullying and sometimes terrorism. However, overuse of internet which is often called cyberaddiction results in some negative implications such as health disorders, poor social relationships, poor academic performance, cyberbullying and so on. For this paper, we have surveyed people using questionnaire on the subject related to internet usage and cyberbullying. As a result, this paper shows the analysis of internet usage, cyberbullying and its relationship. Cyberbullying is the most important concept to be considered now a days for the researchers as it is directly linked to the lives of the youth of the world. Earlier research did not focus on the importance of social media, however, this paper discusses linkage of the overuse of social media with cyberbullying.

关键词： Internet Social networking (online) Games Terrorism Stress Pain Psychology

来源：评论

学校读者我要写书评

暂无评论

Identification of Suspicious Patterns in Social Network using Zipf's Law

Identification of Suspicious Patterns in Social Network usin...

引用

International Conference on Advances in Computing, Communication Control and Networking

作者： GeetikaSarna MPS Bhatia Computer Engineering Department Netaji Subhas Institute of Technology New Delhi India

ISBN: (纸本)9781538641200

Scale-Free social network is universally popular among the users of almost all the ages. This scale-free network follows the Power Law that expresses the distribution of data in the form of body and tail. Tail can be expressed in two types: heavy and long. Heavy tail also called Pareto distribution means rare or infrequent occurrences of events with high values whereas long tail which is used for Zipf's distributionshows many occurrences of events with small values. In this paper, we employed the concept of long tail to identify the skeptical pattern in the social network as security is the main concern for everyone and become an open research area. Earlier papers on Zipf's Law worked on the concept of constructing the dictionaries or thesaurus on the basis of the frequency of keywords. However, this paper deals with the suspicious pattern on the basis of the frequency of keywords.

关键词： Social network Power law Zipf's law Cybercrime Cyberbullying Suspicious patterns

来源：评论

学校读者我要写书评

暂无评论

Augmented Gene Expression Programming: A Population Diversifying Paradigm

Augmented Gene Expression Programming: A Population Diversif...

引用

Congress on Evolutionary Computation

作者： Shreya Kataria Somya Sangal Twishi Tyagi Swati Aggarwal Department of Computer Engineering Netaji Subhas Institute of Technology Delhi Delhi India

Gene Expression Programming, a popular evolutionary paradigm, has acquired great attention from researchers in the domain of mathematical modeling. In view of its insufficiencies arising due to premature convergence, this paper presents an Augmented Gene Expression Programming (AGEP) algorithm. Improvements suggested over classical GEP mechanism are (1) Opposition Based Learning to initialize the population of individuals to speed up convergence, (2) A diversifying clonal selection algorithm to eliminate bias towards fitter individuals, and (3) A population upliftment step to counter stagnancy over generations. A set of experiments related to function finding was conducted using AGEP and the results show a prominent improvement by AGEP over its classical counterpart, GEP and an improved version from authoritative literature (Niche technology of Outbreeding Fusion-OFN-GEP). The results have been used to reason that AGEP gives more accurate solutions at a better convergence rate.

关键词： Sociology Statistics Convergence Biological cells Genomics Evolutionary computation Gene expression

来源：评论

学校读者我要写书评

暂无评论

Spoofed Fingerprint Detection Based on Time Series Fingerprint Image Analysis

Spoofed Fingerprint Detection Based on Time Series Fingerpri...

引用

International Conference on Secure Cyber Computing and Communication (ICSCCC)

作者： Shefali Arora Naman Maheshwari MPS Bhatia Division of Computer Engineering Netaji Subhas Institute of technology delhi india

ISBN: (纸本)9781538663745;9781538663738

The primary purpose of fingerprint recognition is to make sure that user authentication is reliable. Fully connected Convolutional networks help to attain good performance in classifying a time-series sequence of captured fingerprint images. In this paper, we work on the approach of detecting spoofed fingerprints from these sequences by combining the use of Convolutional Neural Networks and Long Short Term Memory networks. Our proposed model has superior performance, with minimum amount of processing and optimal model size. The experiments, carried out on a dataset [1] of real and spoofed fingerprints, prove that the proposed approach is effective in detecting spoofed fingerprints.

关键词： Fingerprint recognition computer architecture Logic gates Microprocessors Time series analysis Image matching Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Predicting the Popularity of Online News using Social Features

Predicting the Popularity of Online News using Social Featur...

引用

International Conference on Green Computing and Internet of Things (ICGCIoT)

作者： Harsh Vardhan Singh Division of Computer Engineering Netaji Subhas Institute of Technology New Delhi

ISBN: (纸本)9781538656587

Consuming news via social media is an integral part of our lives. Various news agencies use social media as a medium to spread their content. Popularity prediction of news before publication is a challenging task because it depends on a very large user base. Popularity of news on social platform can be represented using number of likes, shares. We have used number of likes as a popularity measure. In this paper, we first find out features on social platform which can affect popularity of an article. These features and content metadata are fed to various machine learning models. These models are used to predict whether an article is going to be popular or not. Tree based models achieve best results for prediction. These models also show that hashtags, usermentions and other social features are important factors which affect popularity of news.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A computer Vision System for Iris Recognition Based on Deep Learning

A Computer Vision System for Iris Recognition Based on Deep ...

引用

IEEE International Advance Computing Conference, IACC

作者： Shefali Arora M. P. S Bhatia Division of Computer Engineering Netaji Subhas Institute of Technology Delhi India

ISBN: (纸本)9781538666791;9781538666784

Biometric systems are playing an important role in identifying a person, thus contributing to global security. There are many possible biometrics, for example height, DNA, handwriting etc., but computer vision based biometrics have found an important place in the domain of human identification. computer vision based biometrics include identification of face, fingerprints, iris etc. and using their abilities to create efficient authentication systems. In this paper, we work on a dataset [1] of iris images and make use of deep learning to identify and verify the iris of a person. Hyperparameter tuning for deep networks and optimization techniques have been taken into account in this system. The proposed system is trained using a combination of Convolutional Neural Networks and Softmax classifier to extract features from localized regions of the input iris images. This is followed by classification into one out of 224 classes of the dataset. From the results, we conclude that the choice of hyperparameters and optimizers affects the efficiency of our proposed system. Our proposed approach outperforms existing approaches by attaining a high accuracy of 98 percent.

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87页 << < 40 41 42 43 44 45 46 47 48 49 > >>

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：