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

1,091 篇 会议
15 篇 期刊文献
14 册 图书

馆藏范围

1,120 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

819 篇 工学
- 731 篇 计算机科学与技术...
- 613 篇 软件工程
- 197 篇 信息与通信工程
- 163 篇 生物工程
- 95 篇 生物医学工程（可授...
- 86 篇 控制科学与工程
- 63 篇 电气工程
- 62 篇 安全科学与工程
- 58 篇 动力工程及工程热...
- 51 篇 光学工程
- 46 篇 机械工程
- 40 篇 交通运输工程
- 38 篇 化学工程与技术
- 31 篇 仪器科学与技术
- 31 篇 电子科学与技术（可...
409 篇 理学
- 196 篇 数学
- 177 篇 生物学
- 83 篇 统计学（可授理学、...
- 71 篇 物理学
- 58 篇 系统科学
- 43 篇 化学
253 篇 管理学
- 151 篇 图书情报与档案管...
- 128 篇 管理科学与工程(可...
- 81 篇 工商管理
99 篇 医学
- 93 篇 临床医学
- 91 篇 基础医学(可授医学...
- 62 篇 药学(可授医学、理...
- 43 篇 公共卫生与预防医...
70 篇 法学
- 50 篇 社会学
33 篇 经济学
- 33 篇 应用经济学
30 篇 农学
23 篇 教育学
5 篇 军事学

主题

53 篇 computational mo...
45 篇 big data
44 篇 machine learning
38 篇 deep learning
38 篇 cloud computing
35 篇 predictive model...
31 篇 feature extracti...
28 篇 machine learning...
26 篇 internet of thin...
25 篇 neural networks
24 篇 data mining
23 篇 blockchain
23 篇 data models
22 篇 support vector m...
21 篇 forecasting
21 篇 training
20 篇 covid-19
20 篇 sentiment analys...
17 篇 technological in...
15 篇 object detection

机构

13 篇 teerthanker maha...
11 篇 jain university ...
9 篇 school of comput...
6 篇 galgotias univer...
4 篇 galgotias univer...
4 篇 department of in...
4 篇 kite group of in...
4 篇 department of co...
4 篇 chandigarh unive...
4 篇 department of ne...
4 篇 school of cyber ...
4 篇 department of co...
4 篇 department of co...
4 篇 college of compu...
3 篇 college of compu...
3 篇 university of en...
3 篇 department of co...
3 篇 china academy of...
3 篇 christ universit...
3 篇 institute of art...

作者

6 篇 jacob lija
6 篇 n. suresh kumar
6 篇 joshi kapil
6 篇 lija jacob
5 篇 vishal bharti
5 篇 aruna bhat
5 篇 bhat aruna
5 篇 naohiro ishii
4 篇 li yang
4 篇 annamalai suresh
4 篇 sharma vishnu
4 篇 ippei torii
4 篇 s. vijayalakshmi
4 篇 vishnu sharma
4 篇 wang tao
4 篇 bharti vishal
4 篇 malik aruna
4 篇 gupta gaurav
4 篇 vijayalakshmi s.
4 篇 li wei

语言

1,111 篇 英文
9 篇 其他
1 篇 中文

检索条件"任意字段=4th International Conference on Computing and Data Science, CONF-CDS 2022"

共 1120 条记录，以下是271-280 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：

4th international conference on Innovative data Communication Technology and Application, ICIDCA 2022

4th International Conference on Innovative Data Communicatio...

引用

4th international conference on Innovative data Communication Technologies and Application, ICIDCA 2022

the proceedings contain 100 papers. the topics discussed include: security and privacy preservation for data communication network;insights into NoSQL databases using financial data: a comparative analysis;a dynamic fuzzy engine for adaptive control towards improvement of network performance in big data environment;a resource-optimized and accelerated sentiment analysis method using serverless computing;tuning multi-layer perceptron by hybridized arithmetic optimization algorithm for healthcare 4.0;digital evidence management system for cybercrime investigation using proxy re-encryption and blockchain;hybrid neural network architecture for multi-label object recognition using feature fusion;a review on vulnerabilities to modern processors and its mitigation for various variants;metaheuristics approach to improve data analysis process for the healthcare sector;swarm intelligence in data science: challenges, opportunities and applications;and analysis of in-place matrix rotation of square matrix for information security applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

ABC-DE-WOA: A New Hybrid Algorithm for Optimization Problems 4

ABC-DE-WOA: A New Hybrid Algorithm for Optimization Problems

引用

4th international conference on Circuits, Control, Communication and computing, I4C 2022

作者： Pradeep Kumar, D. Sowmya, B.J. Kanavalli, Anita Vincent, Annvin Dept. of Computer Science and Engineering Bangalore India Dept. of Artificial Intelligence and Data Science Bangalore India

ISBN: (纸本)9798350397475

One of the most effective swarm intelligence-based algorithms for many global optimization issues is the Artificial Bee Colony (ABC) strategy. Despite the fact that there are many Artificial Bee Colony (ABC) variants, the algorithm normally has a low convergence rate. therefore, it is still essential to moderate an algorithm's intensity and diversity. In this instance, the standard Artificial Bee Colony (ABC) algorithm has been combined with the Whale Optimization Algorithm (WOA) and Differential Evolution Algorithm (DE) to generate a novel Hybrid Artificial Bee Colony algorithm (ABC), Artificial Bee Colony-Differential Evolution-Whale Optimization Algorithm (ABC-DE-WOA). For simple benchmark problems with up to 100 dimensions, 50 dimensions, 30 dimensions, and 10 dimensions, the proposed hybrid technique is compared with Artificial Bee Colony (ABC) variants like Artificial Bee Colony-Whale Optimization Algorithm (ABC-WOA), Artificial Bee Colony-Differential Evolution Algorithm (ABC-DE), and original Artificial Bee Colony Algorithm (ABC). the results show that the proposed technique performs better than its competitors in terms of convergence speed. © 2022 IEEE.

关键词： Global optimization

来源：评论

学校读者我要写书评

暂无评论

Decentralized Voting System 4

Decentralized Voting System

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Kumar, Sachin Akhtar, Shoaib Ghosh, Soumalya Saini, Kavita Galgotias University School of Computing Science and Engineering Delhi NCR India

ISBN: (纸本)9781665474368

the evolution of Blockchain has given way to a Smart World where there is improved security and integration of devices, systems, and processes with humans through all-pervasive connectivity. there are numerous secure applications using Blockchain like smart cities, Cloud computing, Smart Management of the Environment and Healthcare, etc.A decentralized voting system is an option for the paper ballot system and EVM (Electronic Voting Machines). Democracies need a decentralized voting system that offers security, integrity, immutability, transparency, and privacy to voters. Blockchain is an emerging technology that offers integrity, immutability, and decentralization of data. Moving our traditional voting system to Blockchain technology can increase voter confidence. this paper describes an attempt to influence the advantages of Blockchain, such as cryptography and transparency, to accomplish an efficient scheme for a decentralized voting system using the Ethereum network. Smart contracts are profound chunks of codes, which are included in the Blockchain and then execute written code as planned in each stage of Blockchain updates. Decentralized voting is one of the trending topics, but is yet to be significant, compared to the other e-services. © 2022 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Efficient Node Placement Approach in Fog computing Environment Using Machine Learning Model 4th

Efficient Node Placement Approach in Fog Computing Environme...

引用

4th international conference on Communications and Cyber-Physical Engineering, ICCCE 2021

作者： Prakash, P. Sakthivel, V. School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9789811679841

the evolution of fog computing plays a vital role in the field of computing paradigms. the fog computing alone cannot do all the processes so that to be interlinked with cloud computing. One of the significant drawbacks in the fog computing environment is performance degradation, which occurs due to fog device placement. the improper placement of fog nodes leads to delays concerning the execution and response time due to the fog application’s critical nature. So, the placement of fog devices plays a vital role in improving the Quality of the Service (QoS) to the user. the proposed method uses a machine learning technique to place the fog node. the paper evaluates the proposed approach using the iFogSim simulation environment and concludes that the proposed method has a better performance ranges from 15 to 50%. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

A Comparative Review on Image Interpolation-Based Reversible data Hiding 4th

A Comparative Review on Image Interpolation-Based Reversible...

引用

4th international conference on computing, Communications, and Cyber-Security, IC4S 2022

作者： Sharma, Raju Pratap Malik, Aruna Department of Computer Science and Engineering Dr. BR Ambedkar National Institute of Technology Jalandhar Punjab India

ISBN: (纸本)9789819914784

Reversible data hiding (RDH) is one of the most crucial issues in the field of information security in the modern world, as it enables us for securing communication by hiding secret data in a cover media. With the help of this, it also lets us extract the secret data without losing any original data at the receiver side, i.e., called as lossless recovery. RDH is very suitable for medical images for example MRI scans, CT scans, and in military applications. In the past few years, several RDH approaches have been developed, for example, difference expansion, histogram shifting, prediction error expansion, and interpolation. this review paper focuses on different reversible data-hiding strategies that are basically based on interpolation techniques in order to get a good visual image quality and embedding capacity, which have been attempted by many researchers to improve it at the same time. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Military applications

来源：评论

学校读者我要写书评

暂无评论

Cardiac data Compression for Reduced Traffic on Application of IoMT 4

Cardiac Data Compression for Reduced Traffic on Application ...

引用

4th IEEE international conference on Emerging Smart computing and Informatics, ESCI 2022

作者： Baliarsingh, Sudeshna Mohapatra, Saumendra Kumar Panda, Prakash Kumar Mohanty, Mihir Narayan Iter Odisha Bhubaneswar India Institute of Computer Science and Engineering Saveetha School of Engineering Tamilnadu Chennai India Odisha Bhubaneswar India

ISBN: (纸本)9781665400732

the Internet of things (IoT) has a great role to provide the recent technology including the applications in the area of Health care, Engineering, smart societies and many different human activities. It needs the compliant for the Artificial Intelligence of Medical things (AIoMT). Among all the processes including the signal processing, communication and Machine Learning, data compression playing an important role to satisfy all these applications. We have considered the Arrhythmia ECG data for compression using different transforms. the data is collected from the physio-net data base. Its performance using wavelet transform found suitable in terms of noise suppression, multiband filtering and compression encoding. Further to satisfy IoT based communication wavelet Packet Transform (WPT) is utilised to develop the model for multicarrier communication. From the result it is observed that it can be useful for Medical professionals as well as the patients from the remote places. © 2022 IEEE.

关键词： data compression

来源：评论

学校读者我要写书评

暂无评论

A Robust Deep Learning Techniques for Alzheimer’s Prediction 4th

A Robust Deep Learning Techniques for Alzheimer’s Predictio...

引用

4th international conference on computing, Communications, and Cyber-Security, IC4S 2022

作者： Locharla, Jayesh Kolanuvada, Haswanth Ashrith, Kona Venkata Sai Suchitra, S. Department of Data Science and Business Systems SRM Institute of Science and Technology Tamil Nadu Kattankulathur Chengalpattu Dist 603203 India

ISBN: (纸本)9789819914784

Alzheimer’s disease is a neurological condition that gradually reduces brain size and destroys brain neurons. the most common varieties of dementia, Alzheimer’s disease limits a person’s ability to operate independently and is described by a steady deterioration in mental, cognitive and social abilities. Due to the severity of moderate cognitive impairment, AD diagnosis is frequently challenging at an early point. Nevertheless, treatment is likely to be successful at this stage. this raised concerns about the early diagnosis and treatment of AD. Deep learning approaches are used, including fastai and InceptionV3 to identify the most accurate markers for predicting AD. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Deterioration

来源：评论

学校读者我要写书评

暂无评论

TinyML: A Systematic Review and Synthesis of Existing Research 4

TinyML: A Systematic Review and Synthesis of Existing Resear...

引用

4th international conference on Artificial Intelligence in Information and Communication, ICAIIC 2022

作者： Han, Hui Siebert, Julien Fraunhofer Institute for Experimental Software Engineering IESE Data Science Department Kaiserslautern Germany

ISBN: (纸本)9781665458184

Tiny Machine Learning (TinyML), a rapidly evolving edge computing concept that links embedded systems (hardware and software) and machine learning, with the purpose of realizing ultra-low-power and low-cost and efficiency and privacy, brings machine learning inference to battery-powered intelligent devices. In this study, we conduct a systematic review of TinyML research by synthesizing 47 papers from academic and grey publication since 2019 (the early TinyML publication starts from 2019). Relevant TinyML literature is analyzed from five aspects: hardware, framework, datasets, use cases, and algorithms/model. this systematic review will serve as a roadmap for understanding the literature within the new emerging field of TinyML. © 2022 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

A Real-Time Distribution Algorithm of Face-Recognition data Based Tourist Volume at Tourist Attractions 4

A Real-Time Distribution Algorithm of Face-Recognition Data ...

引用

2022 4th international conference on Electronic Engineering and Informatics, EEI 2022

作者： He, Huaping Zhang, Xiuying Zhang, Min Sichuan University of Science & Engineering School of Computer Science and Engineering Zigong China Zigong Vocational and Technical School Zigong China Chengdu Shuxing Vocational Middle School Chengdu China

ISBN: (纸本)9783800759231

It has become a common goal that the tourist volume control at a tourist attraction can promote the healthy development of tourism. the number of on-site visitors is intelligently controlled by the application of the Internet of things (IoT), cloud computing and big data technologies. there are also many pressing problems that need to be resolved for smart tourism, for example, improving the service quality at a tourist attraction, reducing the occurrence of safety accidents, and improving management efficiency. Based on the face-recognition data based tourist volume control model in [3], this paper brings forward an algorithm to calculate the real-time distribution of tourists at a tourist attraction, which is programmed and implemented in Python language. Taking the data model of the Western Xia King’s Tomb (Xixialing) tourist attraction as an example in [3], experiments are carried out by building an experimental data set and demonstrate that the algorithm is effective. It provides a new approach to build visualized smart tourism system with big data under the face recognition data model. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

Named Entity Recognition in XLNet Cyberspace Security Domain Based on Dictionary Embedding 4

Named Entity Recognition in XLNet Cyberspace Security Domain...

引用

4th international conference on Advances in Computer Technology, Information science and Communications, CTISC 2022

作者： Yang, Danyang Wan, Fangjie Zhang, Yonggan Zhengzhou University School of Cyber Science and Engineering Zhengzhou China

ISBN: (数字)9781665458726

ISBN: (纸本)9781665458726

With the increase of network security incidents, network security analysts need to analyze massive log information. the introduction of knowledge graph into the field of network security can facilitate analysis by security analysts. NER (Named Entity Recognition) is the upstream task of knowledge graph construction, and the quality of the NER model determines the quality of the knowledge graph to a certain extent. However, the general domain named entity recognition model cannot extract the entities in the network security domain very well. For this phenomenon, this paper proposes an XLNet-Feature-Att model, which uses XLNet in the embedding layer to embed words into the vector space, the encoding layer uses the improved BILSTM FB structure and the Attention layer, and the decoding layer uses the CRF model to achieve sequence labeling and binding. Finally, the experimental comparison is carried out on the data set in the field of network security, and the F1-score reaches the highest 92.28%. © 2022 IEEE.

关键词： Network security

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112页 << < 24 25 26 27 28 29 30 31 32 33 > >>

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：