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

30,494 篇 会议
4,804 篇 期刊文献
238 册 图书

馆藏范围

35,536 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

21,941 篇 工学
- 15,875 篇 计算机科学与技术...
- 13,336 篇 软件工程
- 5,852 篇 信息与通信工程
- 3,466 篇 控制科学与工程
- 2,675 篇 电子科学与技术（可...
- 2,624 篇 电气工程
- 2,370 篇 生物工程
- 1,912 篇 生物医学工程（可授...
- 1,553 篇 光学工程
- 1,352 篇 机械工程
- 1,221 篇 动力工程及工程热...
- 1,206 篇 仪器科学与技术
- 1,015 篇 化学工程与技术
- 871 篇 安全科学与工程
- 743 篇 交通运输工程
11,257 篇 理学
- 6,096 篇 数学
- 3,069 篇 物理学
- 2,598 篇 生物学
- 2,038 篇 统计学（可授理学、...
- 1,325 篇 系统科学
- 1,084 篇 化学
5,695 篇 管理学
- 3,311 篇 管理科学与工程(可...
- 2,666 篇 图书情报与档案管...
- 1,830 篇 工商管理
1,632 篇 医学
- 1,414 篇 临床医学
- 1,319 篇 基础医学(可授医学...
- 864 篇 药学(可授医学、理...
- 692 篇 公共卫生与预防医...
1,049 篇 法学
- 844 篇 社会学
651 篇 经济学
- 651 篇 应用经济学
493 篇 农学
428 篇 教育学
158 篇 文学
78 篇 军事学
39 篇 艺术学
2 篇 哲学

主题

1,162 篇 accuracy
886 篇 computational mo...
867 篇 feature extracti...
752 篇 deep learning
705 篇 training
677 篇 computer science
559 篇 real-time system...
542 篇 machine learning
533 篇 support vector m...
488 篇 predictive model...
422 篇 internet of thin...
371 篇 data models
370 篇 convolutional ne...
346 篇 computer archite...
343 篇 reliability
316 篇 optimization
295 篇 data mining
276 篇 routing
252 篇 visualization
251 篇 wireless sensor ...

机构

84 篇 institut univers...
82 篇 north-west unive...
80 篇 national centre ...
79 篇 infn sezione di ...
77 篇 institute of inf...
76 篇 infn sezione di ...
76 篇 tno technical sc...
66 篇 università di ca...
64 篇 université de st...
63 篇 dept. of informa...
60 篇 dept. of informa...
56 篇 dept. of compute...
56 篇 nikhef national ...
52 篇 school of automa...
52 篇 dept. of compute...
51 篇 dept. of compute...
50 篇 leiden universit...
48 篇 dept. of compute...
45 篇 dept. of electri...
44 篇 dept. of compute...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
82 篇 chen a.
80 篇 kalekin o.
77 篇 díaz a.f.
75 篇 boumaaza j.
73 篇 coleiro a.
72 篇 gozzini s.r.
70 篇 huang f.
64 篇 dallier r.
56 篇 anguita m.
54 篇 kulikovskiy v.
42 篇 benoit d.m.
42 篇 eddymaoui a.
42 篇 labalme m.
41 篇 gagliardini s.
40 篇 del burgo r.

语言

31,685 篇 英文
3,454 篇 其他
297 篇 中文
56 篇 日文
50 篇 朝鲜文
2 篇 德文
2 篇 斯洛文尼亚文
1 篇 法文
1 篇 葡萄牙文

检索条件"机构=Dept. of Computer Science and Engineering With Data Science"

共 35536 条记录，以下是1021-1030 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：

Multi-Method Stacked Feature Selection Approach based IDS for IoT Networks 3

Multi-Method Stacked Feature Selection Approach based IDS fo...

引用

3rd International Conference on Evolutionary Computing and Mobile Sustainable Networks, ICECMSN 2023

作者： Kushwaha, Jai Prakash Bhadauria, Saumya Tapaswi, Shashikala Dept. of Computer Science and Engineering ABV-IIITM Gwalior India

In an era marked by the proliferation of interconnected devices, the Internet of Things (IoT) has emerged as a revolutionary technological paradigm. IoT networks encompass a vast array of devices, from smart appliances to industrial sensors, revolutionizing industries and everyday life. However, this ubiquitous connectivity has ushered in a new frontier of security challenges, necessitating the deployment of robust Intrusion Detection Systems (IDS). This paper presents a pioneering Multi-Method Stacked Feature Selection (M2SFS) approach-based IDS tailored explicitly for IoT networks. By orchestrating a diverse ensemble of feature selection techniques, the M2SFS framework adept.y curates the feature set derived from the CICIDS 2017 dataset. This comprehensive selection strategy optimally reduces dimensionality, mitigating the resource constraints inherent to IoT ecosystems. The proposed IDS, rooted in the M2SFS approach, demonstrates exceptional accuracy and efficiency in detecting anomalous network behaviors. By harnessing the collective strength of stacked feature selection, this IDS capitalizes on the synergistic potential of multiple feature selection methods. The result is an IDS uniquely adapted to the intricacies of IoT networks, effectively fortifying their security posture. Through rigorous experimentation using the CICIDS 2017 dataset, the proposed approach affirms the superiority of the M2SFS-based IDS over conventional methods. This study underscores the pressing need for IDS in IoT environments and highlights the promise of our innovative approach in safeguarding IoT networks against emerging threats. © 2023 Elsevier B.V.. All rights reserved.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

User Profiling and Interest-based Machine Learning to Solve the Cold-Start Problem for a Recommendation Engine 10

User Profiling and Interest-based Machine Learning to Solve ...

引用

17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Hasan, Sayed Nasir Khatwal, Ravi Sangam University Dept. of Computer Science and Engineering Bhilwara India

ISBN: (纸本)9789380544472

The cold-start problem is a major issue in recommender systems that becomes a challenge for e-commerce companies when processing large amounts of data. Several strategies have been proposed to overcome the cold-start problem using different approaches, but the user interest approach is a unique and standalone approach. In this study, we present an interest-based approach that establishes a relationship between user profile data and corresponding user interests. Our work will recommend the items to the cold-start users based on their pro-files and interest matching, and also promote the cold-start users. Our approach is unique in that we consider user interests rather than similarities between items and recommend items which are based on user interests. The experiments and related tests show that proposed method is efficient and successful as far as of classification time, training time, and precision. Although other classifiers were efficient in terms of accuracy, the Bayesian classifier and Chain Classifier had the shortest classification time as well as training time. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Recommender systems

来源：评论

学校读者我要写书评

暂无评论

Using IOT and WSNs Technology for Monitoring an Aquaponic Greenhouse System 4

Using IOT and WSNs Technology for Monitoring an Aquaponic Gr...

引用

4th International Conference on Embedded and Distributed Systems, EDiS 2024

作者： Touhami, Achouak Bourouis, Amina Benahmed, Tariq Touhami, Sana Touhami, Nawal Benahmed, Khelifa Ali Kafi university center Dept. Mathematics and Computer Science Tindouf Algeria Tahri Mohammed university Dept. Mathematics and Computer Science Bechar Algeria Ahmed Draria university Dept. Electrical Engineering Adrar Algeria

ISBN: (纸本)9798331519872

The increasing population, climate fluctuations, soil erosion, limited water resources, and concerns about food security highlight the need for effective and sustainable approaches to food production. Aquaponics represents a sustainable method that conserves land and water while minimizing its environmental impact. This technique operates as a closed-loop, soil-less farming system, requiring meticulous monitoring, control, and management. Monitoring an aquaponic greenhouse system involves tracking various parameters to maintain the health and productivity of both plants and fish. Our research introduces a design and algorithms for monitoring an aquaponic greenhouse, utilizing wireless sensor networks (WSN), aquaponic systems, and Internet of Things (IoT) technology. © 2024 IEEE.

关键词： Aquaponic greenhouse Closed-loop Fish Internet of things Plant Wireless sensor networks

来源：评论

学校读者我要写书评

暂无评论

Shanketik: Revolutionizing Communication for the Deaf and Mute - A Reinforcement Learning-Enhanced Bangla AAC Application 26

Shanketik: Revolutionizing Communication for the Deaf and Mu...

引用

26th International Conference on computer and Information Technology, ICCIT 2023

作者： Monalisa, Natasha Tanzila Himi, Shinthi Tasnim Parvin, Kohinur Uddin, Mohammad Shorif Jahangirnagar University Dept. of Computer Science & Engineering Dhaka Bangladesh

ISBN: (纸本)9798350359015

This research addresses the communication challenges faced by the deaf and mute community, leveraging advanced technology to enhance augmentative and alternative communication (AAC). In light of the limitations of existing methods, we propose a novel approach, 'Shanketik', that integrates Reinforcement Learning (RL) into an AAC mobile application in Bangla language. This system bridges the gap in accessible communication tools, particularly in languages like Bangla, where options are limited. The 'Shanketik' system functions as an agent, interacting with users through symbols in AAC. It incorporates a dynamic feedback loop, learning from positive and negative user responses. The system's core architecture involves the innovative use of the Deep Q-Network (DQN) algorithm, a fusion of Q-learning and deep neural networks. The 'Shanketik' application not only refines text and speech generation for accuracy and contextual relevance but also offers a user-friendly interface, ensuring navigation flexibility and enhanced efficiency in usability. The research presents a significant advancement in AAC technology, marking a transformative step toward inclusive communication for the deaf and mute community. © 2023 IEEE.

关键词： Augmented and Alternative Communication (AAC) Bangla Language Processing Human-computer Interaction Mobile Application Reinforcement Learning

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Classification Algorithms Using Bot-IoT dataset

Comparative Analysis of Classification Algorithms Using Bot-...

引用

2023 International Conference on Sustainable Communication Networks and Application, ICSCNA 2023

作者： Mishra, Amit Kumar Rajput, Kapil Pandey, Neeraj Kumar Pathak, Anjali Graphic Era Hill University Dept. of Computer Science & Engineering Dehradun India Department of Computer Science & Engineering Dehradun India

ISBN: (纸本)9798350313987

This study shows the comparative analysis of classification machine learning algorithms performed on the Bot-IoT dataset. The Bot-IoT dataset is an omnipresent dataset that contains network traffic data collected from Internet of Things (IoT) devices. The dataset provides useful insights into the characteristics of botnet traffic and can be used to create an environment where there are effective detection and mitigation strategies. This research analysis evaluates several well-known classification algorithms on the Bot-IoT dataset. The algorithms considered in this study include, Decision Trees (DT), Random Forest (RF), Support Vector Machine (SVM), and Naive Bayes (NB). The evaluation process consists of several steps. First, the obtained dataset is preprocessed by handling the left out values, normalizing features, and splitting it into testing and training sets. Then, each classification algorithm is trained based on the training set and the hyper parameters are fine-tuned by using the cross -validation techniques. After training, the performance of each algorithm is evaluated on the testing set using different factors such as accuracy, precision, recall and F1 score. Finally, the research results provide insights on the advantages and disadvantages of different classification algorithms for enabling botnet detection using the Bot-IoT dataset. This study compares the performance of each algorithm based on the accuracy, F1- Score, recall and other evaluation metrics, which allows to identify the most effective algorithm. Additionally, this study analyses the computational complexity and training time of each algorithm to assess their practical feasibility in realtime scenarios. The resultant observation can be valuable for researchers working on IoT security, specifically in the area of botnet detection and prevention. By understanding the performance characteristics of different classification algorithms, stakeholders can make informed decisions when selecting an

关键词： Analysis Bot-IoT Classification Algorithms Comparison IoT Attacks ML model

来源：评论

学校读者我要写书评

暂无评论

Device Identification using Network Traces in a Smart Home IoT Network 17

Device Identification using Network Traces in a Smart Home I...

引用

17th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2023

作者： Brahma, Jwngfu Matam, Rakesh Choudhury, Nikumani Indian Institute of Information Technology Dept. of Computer Science & Engineering Guwahati India Birla Institute of Technology & Science Dept. of Computer Science & Information Systems Hyderabad India

ISBN: (纸本)9798350307672

Device identification is a crucial aspect of securing networks, particularly in the context of the Internet of Things (IoT), where a vast variety of devices are interconnected. Recently, there has been significant research on developing techniques for identifying IoT devices based on their unique characteristics, called as device fingerprints. These techniques use machine learning algorithms, which can effectively learn and classify devices based on their features. However, device identification remains a challenging task due to the diversity of IoT devices and the constant evolution of their characteristics. This paper presents our attempt at device identification by analyzing distinct device characteristics observed during network communication and using different machine learning techniques. © 2023 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

A Real-time System of Two-stage Track Component Classification based on YOLOX-nano and ResNet34

A Real-time System of Two-stage Track Component Classificati...

引用

2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Chia, Han-Chieh Yang, Ke-Sih Hsieh, Chen-Chiung Tatung University Dept. of Computer Science and Engineering Taipei Taiwan

ISBN: (纸本)9798350324174

Due to the complex track environment, the use of only one stage for track component identification is prone to inaccurate component positioning, resulting in misjudgment of the target coordinate system and other problems. This paper proposes a two-stage recognition method based on YOLOX-nano and ResNet34, hoping to solve the problem of inaccurate component positioning in the existing classification system and also improve the recognition accuracy. In the first stage, the entire image is preliminarily screened through YOLOX-nano, so that the system can understand the image structure, obtain the possible range of components, and then obtain the leftmost and rightmost positions of the track through Hough Transform. Next, calculate the intersection with the sleeper range obtained in the first stage, and calculate the possible relative position of the component base on the intersection, thereby locking the range where the component is located, and handing this range to ResNet34 in the second stage for component defect detection. © 2023 IEEE.

关键词： Hough transforms

来源：评论

学校读者我要写书评

暂无评论

Parkinson's Disease Prediction using Fisher Score based Recursive Feature Elimination

Parkinson's Disease Prediction using Fisher Score based Recu...

引用

2023 International Conference on Advancement in Computation and computer Technologies, InCACCT 2023

作者： Aishwarya, Ravi Pavitra, K. Miranda, Primal Viola Keerthana, K. Kamatchi Priya, L. PES University Dept. of Computer Science Engineering Bengaluru India

ISBN: (纸本)9798350396485

Parkinson's disease is a neurological syndrome that manifests slowly and gradually, making it difficult to diagnose at an early stage. Voice alterations can be used as a detectable marker of early detection. The Synthetic Minority Oversampling Technique (SMOTE) is employed to address class imbalance issues in the datasets. For optimal feature selection, a novel approach called Fisher Score based Recursive Feature Elimination (FRFE) is proposed, and it is compared with state of art feature selection methods namely Correlation Coefficient, Mutual Information, Backward Feature Elimination, and Recursive Feature Elimination. The performance of models was evaluated across different classifiers using two voice datasets, with different features so as to confirm that FRFE works for any dataset irrespective of features. The FRFE performs better than the state of methods of comparison in terms of accuracy and variance. © 2023 IEEE.

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

BTI Aging Influence and Mitigation in Neural Networks Oriented In-Memory Computing SRAMs 12

BTI Aging Influence and Mitigation in Neural Networks Orient...

引用

12th International Conference on Modern Circuits and Systems Technologies, MOCAST 2023

作者： Dilopoulou, Christina Tsiatouhas, Yiorgos University of Ioannina Dept. of Computer Science and Engineering Ioannina Greece

ISBN: (纸本)9798350321074

Static random access memories (SRAMs) are commonly used in In-Memory Computing (IMC) architectures that perform neural network related computations directly in the memory unit, overcoming the data transfer constrains of traditional Von-Neumann architectures. However, Bias Temperature Instability (BTI) aging is a growing reliability concern for nanometer technology SRAMs. In this paper, we examine the BTI aging influence on SRAM based IMC architectures and propose an aging mitigation method to enhance their reliability and lifetime. According to our simulation results, BTI aging can affect the computation reliability of IMC cells. Aging mitigation is achieved by periodically alternating active with inactive transistors and vice-versa in these cells. © 2023 IEEE.

关键词： Reliability

来源：评论

学校读者我要写书评

暂无评论

Distributed and Synchronized Multilingual Audio Container for Video Streams 2

Distributed and Synchronized Multilingual Audio Container fo...

引用

2nd IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies, ViTECoN 2023

作者： Nidagundi, Pradnya S. Udupa, Prajna Dindore, Chinmayee Kothari, Palak Pujari, Nitin V. PES University Dept. of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350347982

This paper presents a distributed and synchronised multilingual audio container for video streams. The system utilises a distributed architecture to separate audio and video streams, allowing for the independent manipulation and synchronization of multiple languages. The proposed solution addresses the challenges of providing efficient video streaming and has the potential to improve accessibility to foreign language educational content for non-native speakers. The proposed approach improves the scalability and flexibility of the system, as well as the overall user experience. The system is evaluated through simulations and real-world implementation, demonstrating its effectiveness in providing a seamless multilingual video streaming experience. The results show that the proposed system can synchronize multiple languages with high accuracy, and the distributed architecture ensures low latency and high scalability. © 2023 IEEE.

关键词： Synchronization

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 << < 99 100 101 102 103 104 105 106 107 108 > >>

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：