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

47,477 篇 会议
7,568 篇 期刊文献
326 册 图书

馆藏范围

55,371 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

34,181 篇 工学
- 21,055 篇 计算机科学与技术...
- 17,492 篇 软件工程
- 9,467 篇 信息与通信工程
- 6,311 篇 电子科学与技术（可...
- 6,126 篇 电气工程
- 5,732 篇 控制科学与工程
- 3,115 篇 生物工程
- 2,630 篇 光学工程
- 2,619 篇 生物医学工程（可授...
- 2,277 篇 机械工程
- 2,269 篇 动力工程及工程热...
- 2,143 篇 仪器科学与技术
- 1,678 篇 化学工程与技术
- 1,256 篇 材料科学与工程（可...
- 1,142 篇 安全科学与工程
- 1,072 篇 交通运输工程
17,867 篇 理学
- 9,413 篇 数学
- 5,834 篇 物理学
- 3,390 篇 生物学
- 3,064 篇 统计学（可授理学、...
- 2,211 篇 系统科学
- 1,764 篇 化学
7,309 篇 管理学
- 4,457 篇 管理科学与工程(可...
- 3,158 篇 图书情报与档案管...
- 2,462 篇 工商管理
2,075 篇 医学
- 1,799 篇 临床医学
- 1,671 篇 基础医学(可授医学...
- 1,115 篇 药学(可授医学、理...
1,327 篇 法学
- 1,087 篇 社会学
916 篇 经济学
- 915 篇 应用经济学
594 篇 农学
583 篇 教育学
237 篇 文学
149 篇 军事学
51 篇 艺术学
3 篇 哲学
2 篇 历史学

主题

1,369 篇 accuracy
1,244 篇 computational mo...
1,052 篇 feature extracti...
948 篇 training
740 篇 deep learning
720 篇 computer science
696 篇 real-time system...
649 篇 machine learning
636 篇 predictive model...
610 篇 optimization
513 篇 support vector m...
505 篇 data models
504 篇 internet of thin...
501 篇 computer archite...
440 篇 neural networks
425 篇 convolutional ne...
402 篇 wireless sensor ...
400 篇 reliability
397 篇 bandwidth
386 篇 monitoring

机构

169 篇 dept. of electri...
82 篇 north-west unive...
81 篇 institut univers...
79 篇 infn sezione di ...
79 篇 national centre ...
76 篇 infn sezione di ...
76 篇 institute of inf...
66 篇 università di ca...
62 篇 dept. of electr....
58 篇 dept. of electri...
57 篇 dept. of informa...
56 篇 dept. of compute...
52 篇 dept. of electri...
52 篇 school of automa...
51 篇 leiden universit...
44 篇 dept. of compute...
43 篇 dept. of electri...
42 篇 infn lnf via enr...
42 篇 in2p3 lpc campus...
39 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.
81 篇 chen a.
76 篇 kalekin o.
65 篇 huang f.
65 篇 díaz a.f.
54 篇 boumaaza j.
52 篇 kulikovskiy v.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.
37 篇 androulakis g.
37 篇 coleiro a.
34 篇 de palma m.
34 篇 khatun a.
33 篇 eirini eleni tsi...

语言

50,027 篇 英文
4,463 篇 其他
638 篇 中文
212 篇 朝鲜文
59 篇 日文
4 篇 德文
2 篇 斯洛文尼亚文
1 篇 阿拉伯文
1 篇 法文
1 篇 葡萄牙文
1 篇 土耳其文

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

共 55371 条记录，以下是401-410 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：

SobelMNet: A Lightweight CNN based Approach for Median Filtering Detection in compressed images 27

SobelMNet: A Lightweight CNN based Approach for Median Filte...

引用

27th International Conference on Advanced Communications Technology, ICACT 2025

作者： Kaushal, Anukriti Kumar, Rajeev Kumar, Sanjay Dept. of Computer Science & Engineering Delhi Technological University Delhi India

ISBN: (纸本)9791188428137

Digital image forgery is the process of manipulating an image to deceive or mislead observers with real or manipulated content. Median filtering is widely used to smooth images and obscure traces of tampering, making its detection critical for image forensics. However, identifying median filtering becomes more complex when additional operations, such as compression, resampling, or noise addition, are applied. To address this issue, we propose a lightweight convolutional neural network (CNN) model named SobelMNet, specifically designed for detecting median filtering in compressed images. The proposed model utilises a Sobel filter-based preprocessing step to enhance the residual differences between the original and manipulated images. These residuals, which capture subtle features indicative of median filtering, are analysed by CNN for classification. Further, the proposed model is evaluated on grayscale low-resolution images generated from the Dresden dataset for both binary and multiclass classification tasks. The model achieved a remarkable detection accuracy of 99.43% in median filter detection and outperformed state-of-the-art methods in various scenarios, including combinations of median filtering with Gaussian blur, resampling, and additive white Gaussian noise (AWGN) with an average accuracy of 98.32%. Finally, its lightweight architecture ensures computational efficiency, making it practical for real-world forensic applications. Copyright 2025 Global IT Research Institute (GIRI). All rights reserved.

关键词： Median filters

来源：评论

学校读者我要写书评

暂无评论

Forensic science: AI-Powered Image and Audio Analysis 5

Forensic Science: AI-Powered Image and Audio Analysis

引用

5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Renukadevi, P. John, Sincy Shivani, N. Jain University Dept. of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798331504403

Forensic science demands the precise application of advanced scientific principles and procedures to investigate crimes and ensure justice. This process involves the analysis of vast and complex data. The research explores the potential of modern science and technologies, particularly Artificial Intelligence (AI), to develop innovative techniques across various branches of forensic science. It provides a comprehensive examination of AI applications in forensic fields, focusing on image and audio analysis to identify instruments used in crimes and determine causes of death. By integrating AI, the research aims to enhance the accuracy and efficiency of forensic investigations while maintaining ethical standards. The paper also discusses the difficulties with AI in forensic science, highlighting the need for open and moral AI systems. It highlights that forensic errors leading to wrongful convictions often result from factors such as incompetence, spam, weak scientific foundations, or organizational deficiencies, rather than blunders made by forensic scientists. These issues highlight the importance of addressing the root causes of forensic errors to improve the reliability of forensic practices. The study also delves into the specific challenges AI encounters, such as data quality, interpretability of AI models, and the unification of AI into current forensic procedures. By tackling these challenges, the research aims to ensure that AI applications in forensic science are effective and trustworthy. Overall, this work highlights the critical role of AI in advancing forensic science and the importance of addressing the underlying issues that contribute to forensic errors, ultimately striving for a more reliable and just forensic process © 2024 IEEE.

关键词： Digital forensics

来源：评论

学校读者我要写书评

暂无评论

An In-dept. Exploration of Machine Learning Algorithms and Performance Evaluation Approaches for Personalized Diabetes Prediction

An In-Depth Exploration of Machine Learning Algorithms and P...

引用

2024 International Conference on Emerging Innovations and Advanced Computing, INNOCOMP 2024

作者： Kaur, Inderdeep Ali, Aleem Chandigarh University Dept. of Computer Science and Engineering Kharar India

ISBN: (纸本)9798350376470

Diabetes is now recognised as a major worldwide health problem, demanding effective early detection and prediction measures to limit its repercussions. Machine learning algorithms have shown to be excellent tools in healthcare for creating prediction models. This paper delves into an extensive investigation of machine learning (ML) algorithms and methodologies for assessing their performance in the context of personalized diabetes prediction. Different machine learning models are rigorously explored and evaluated for how well they can customise forecasts to the unique characteristics of individual patients. The study also critically assesses several performance evaluation techniques in an effort to improve the accuracy and reliability of diabetes prediction algorithms. Furthermore, interpretability problems and class imbalance are addressed as challenges and limitations to the application of machine learning in the prediction of diabetes. This study aims to motivate researchers, facilitating a deeper understanding of disease prediction algorithms and conduct related research. © 2024 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

The Development of a Digital Forensic Framework for Ease of Forensic Analysis 12

The Development of a Digital Forensic Framework for Ease of ...

引用

12th International Symposium on Digital Forensics and Security, ISDFS 2024

作者： Suvarna, Dhruv Km, Mahesh Gupta, Mahika Gabburi, Sonal Honnavalli, Prasad Vm, Sapna Pes University Dept. of Computer Science & Engineering Bengaluru India

ISBN: (纸本)9798350330366

With the growing use of digital devices and technologies, the volume of digital forensic evidence in need of analysis also increases. This results in a need for more effective methods to conduct analysis of this evidence in an investigation. This paper discusses the development of a framework for digital forensic processes. The framework will utilize various tools and techniques to enhance the process of collecting, analyzing, and preserving digital evidence. A survey of existing digital forensic tools, including FTK Imager, Autopsy, and The Sleuth Kit was conducted to help identify various pain points faced by investigators throughout the forensic lifecycle. Based on this study, a framework for the analysis of storage data and memory dumps in digital forensics is proposed, incorporating industry best practices and tools such as The Sleuth Kit and Volatility, enhancing ease of use, and thereby promoting more accurate resolutions. © 2024 IEEE.

关键词： Digital forensics

来源：评论

学校读者我要写书评

暂无评论

Maximizing Bandwidth Utilization and Multipath Routing for Control Congestion in MANET 4

Maximizing Bandwidth Utilization and Multipath Routing for C...

引用

4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024

作者： Bundela, Sonam Singh Boghey, Rajesh Rohila, Manish Kumar Sharma, Vivek Dept. of Computer Science & Engineering Madhya Pradesh Bhopal India

ISBN: (纸本)9798331518981

This paper presents a novel Maximize Bandwidth utilization and Multipath Routing for Congestion Control (MBMRCC) scheme designed to address congestion issues in MANETs effectively. The MBMRCC scheme integrates multipath routing with adaptive rate control to enhance data throughput and minimize packet loss. In MBMRCC proposed scheme, multiple paths among sources and destinations are established using for enhance the multipath on demand protocol ability in dynamic network. This Ad hoc On-demand Multipath Distance Vector (AOMDV) routing approach distributes the data load across more than two paths, thereby reducing the congestion on any established path. Concurrently, the data rate control approach is able to handle data transmission rate based on real-time network conditions, such as node mobility, link stability, and current congestion levels. Simulation results demonstrate that the MBMRCC scheme significantly outperforms traditional single-path routing protocol AODV and Multipath routing AOMDV i.e. existing congestion control mechanisms in MANETs. Significant performance metrics such as throughput, packet delivery ratio, overhead and end-to-end delay performance are network favorable. The adaptive nature of the proposed scheme ensures robust performance in highly dynamic and heterogeneous network environments, making it a viable solution for various MANET applications, including disaster recovery, military operations, and mobile social networks. The MBMRCC scheme's ability to efficiently manage network congestion and enhance data transmission reliability underscores its potential to enhances the overall performance of MANET. © 2024 IEEE.

关键词： Economic and social effects

来源：评论

学校读者我要写书评

暂无评论

Integrating Tradition and Technology: A Survey of AI Applications in the Design of Temple Architecture

Integrating Tradition and Technology: A Survey of AI Applica...

引用

2024 International Conference on Artificial Intelligence, Metaverse and Cybersecurity, ICAMAC 2024

作者： Meghana, J. Bellad, Harshavardana R. Pardhi, Diya Magdum, Ishwari Nagaraj, Chaitra Dept. Computer Science Engineering PES University Bengaluru India

ISBN: (纸本)9798350353488

This article will delve into the complicated inter-building of artificial intelligence and traditional skill of temple architecture of South India. It meticulously analyzes the historical roots of temple design, explaining in detail the subtle means and methods that have always been used in temple construction. Apart from detailed preparation and skilled craftsmanship, it is the cultural heritage that is demonstrated with these monumental creations. In the sequel, the paper sheds light on how AI technologies are transforming temple architecture through systems analysis and optimization, generative design and other methods. Living examples of Artificial Intelligence work do not only confirm the successful AI implementations but also illustrate the smooth link between tradition and novelty in the modern temple designs. © 2024 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Data Analysis of Dark Web Marketplaces using Machine Learning 7

Data Analysis of Dark Web Marketplaces using Machine Learnin...

引用

7th International Conference on Signal Processing and Information Security, ICSPIS 2024

作者： Pratham Rao, U.N. Guruprasad, Rachit Raam Shetty, Omkaar J Sarasvathi, V. Rapate, Gauri Sameer PES UNIVERSITY Dept. of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350368673

People refer to the dark web as the anonymous part of the internet that is very hard to access, it has been described as lying some distance beyond the easily accessible surface web and more obscure deep web. This means that the dark web is accessed by using specially designed software, and it hosts all manner of illicit activities that present huge challenges to law enforcement. This section, known as the dark web, may only be accessed with the use of special designed programs, such as Tor. In this sphere of the net, it is feasible for both the user and the owners of any site to claim anonymity. The dark web is still notorious for offering illegal activities such as drugs markets, selling firearms, and providing services in cybercrime, though it is on the gray area of applying it towards journalists, social activists, and whistleblowers. But it is pretty much important to note here that the deep web or parts of the internet and the dark web are very much different things. In order to shed some light on how to overcome these challenges, we have come up with a custom web crawler specifically designed to work inside the Tor network, extracting data from various dark web marketplaces. In this paper, we will be focusing on the profiling of vendors according to categories and geographical origins, with an emphasis on operational patterns of these cloaked entities. To sum it all, our customized web crawler provides great insights about profiling vendors in dark web markets and categories where they originated. © 2024 IEEE.

关键词： Marketplaces

来源：评论

学校读者我要写书评

暂无评论

DevOps Practices Into Machine Learning 3

DevOps Practices Into Machine Learning

引用

3rd IEEE International Conference on Intelligent Systems, Smart and Green Technologies, ICISSGT 2024

作者： Jain, Samridhi Kumar, Puneet Chandigarh University Dept. of Computer Science & Engineering Mohali India

ISBN: (纸本)9798350304329

All industrial machine learning (ML) projects have their ultimate objective to quickly develop and deploy ML solutions. However, a lot of machine learning projects are failing, and never reach production. In order to address these concerns, this paper aims to investigate how manual ML processes can be automated and operationalised so that more ML concept can be put into production. The advantages of DevOps automation and machine learning capabilities are now being combined by industries. MLOps is the name of this combination. Our analysis found that while there are some similar aspects in defining MLOps, still there is a lack of standardisation in the term, which can occasionally lead to misunderstandings and uncertainty. We carried out the research, which includes a review of the literature and an evaluation of the MLOps tools, to fill this gap. These investigations have led us to define MLOps and identify unresolved issues in the field. In addition to this, we offer a workflow-based summary of all essential components. Finally, this paper gives guidance for applying DevOps practises to machine learning for researchers and practitioners. © 2024 IEEE.

关键词： DevOps Machine Learning MLOps MLOps tools

来源：评论

学校读者我要写书评

暂无评论

Enhancing Network Security with AdvancedNetwork Scanning Tools 6

Enhancing Network Security with AdvancedNetwork Scanning Too...

引用

6th Parul International Conference on engineering and Technology, PICET 2024

作者： Patel, Shubh Christian, Prarthan Mistry, Kartikay Raj, Krenil Raithatha, Hiren Dept. Computer Science and Engineering Parul University Vadodara India

ISBN: (纸本)9798350369748

This research paper introduces a sophisticated network scanning tool designed to enhance cybersecurity measures by integrating advanced techniques in operating system (OS)detection, service scanning, and intrusion detection system (IDS) / intrusion prevention system (IPS) detection. The tool aims to provide a comprehensive approach to network security assessment, offering robust capabilities for identifying potential vulnerabilities and mitigating security risks. The OS detection module employs a combination of fingerprinting techniques and heuristics to accurately identify the underlying operatingsystems of networked devices. This information is crucial forunderstanding the network environment, enabling administrators to implement targeted security measures. The tool incorporatesa sophisticated IDS/IPS detection mechanism to identify and evaluate the effectiveness of intrusion detection and prevention systems in place. This feature is vital for assessing the net- work’s resilience against potential threats and ensuring that the deployed security mechanisms are robust and up-to-date. The research paper details the methodology behind each scanning module, highlighting the innovation and integration of cutting- edge technologies. Additionally, practical use cases and real-world scenarios are presented to demonstrate the tool’s effectiveness in identifying and addressing security concerns in diverse network environments. © 2024 IEEE.

关键词： Network intrusion

来源：评论

学校读者我要写书评

暂无评论

Spatial Data Discovery Using Small Language Model 5

Spatial Data Discovery Using Small Language Model

引用

5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Thakur, Sujit Kumar Tyagi, Neha Amity University Dept. of Computer Science & Engineering Noida India

ISBN: (纸本)9798350383522

The ubiquitous use of data in a plethora of use cases and different organizational dependence on it for various insight has made data a valuable resource across business and scientific domains. Data has attained much more significance than oil itself, unlike the British mathematician Clive Humby's quote in 2006 'data is the new oil'. Every business and processes generate data and with the advent of AI and machine learning, all types of data have valuable use case attached. This also ensued a series of initiatives to clean, augment and provide data as data-products. This has given rise to businesses and solutions using inhouse data or data purchased from a dedicated data provider. Data consumers often face the challenge of inefficient data product discovery. More frequently than not they require active support from data product experts to point them to right dataset. The semantic meaning of the attributes and keywords of a data product is also heavily domain oriented. Data providers find it easy to update and augment metadata of a data set with details more feasible solution than modifying the dataset itself with attribute rename or adding composite attribute. The expected next step is that the metadata be self-explanatory enough to help in data cataloguing, but often we find consuming data scientist looking for help from data experts to make sense of the data in the context of the consumer's use case. This research seeks to analyse if the role of a data expert can be reduced and a finetuned small language model can help a data consuming data scientist in discovering the right data product, based on the metadata of the data product. Overall, this research contributes to the advancement of data discovery techniques and highlights the potential of leveraging language models to streamline and democratize access to valuable data resources, thereby empowering organizations to make more informed and data-driven decisions. © 2024 IEEE.

关键词： data discovery finetuning llama2 small llm spatial data

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 << < 37 38 39 40 41 42 43 44 45 46 > >>

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：