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

273,162 篇 会议
112,863 篇 期刊文献
2,781 册 图书

馆藏范围

388,805 篇 电子文献
3 种 纸本馆藏

日期分布

学科分类号

225,103 篇 工学
- 149,617 篇 计算机科学与技术...
- 121,008 篇 软件工程
- 54,628 篇 信息与通信工程
- 35,815 篇 控制科学与工程
- 31,966 篇 电气工程
- 30,609 篇 电子科学与技术（可...
- 26,000 篇 生物工程
- 20,441 篇 生物医学工程（可授...
- 17,850 篇 光学工程
- 15,546 篇 机械工程
- 13,079 篇 化学工程与技术
- 12,209 篇 仪器科学与技术
- 12,154 篇 动力工程及工程热...
- 10,920 篇 材料科学与工程（可...
- 8,327 篇 安全科学与工程
- 7,877 篇 网络空间安全
127,332 篇 理学
- 63,220 篇 数学
- 41,829 篇 物理学
- 29,490 篇 生物学
- 20,402 篇 统计学（可授理学、...
- 14,882 篇 系统科学
- 14,048 篇 化学
55,978 篇 管理学
- 33,687 篇 管理科学与工程(可...
- 24,484 篇 图书情报与档案管...
- 16,673 篇 工商管理
19,407 篇 医学
- 16,215 篇 临床医学
- 14,576 篇 基础医学(可授医学...
- 9,158 篇 药学(可授医学、理...
- 7,764 篇 公共卫生与预防医...
10,518 篇 法学
- 8,605 篇 社会学
6,451 篇 经济学
5,099 篇 农学
4,167 篇 教育学
1,866 篇 文学
872 篇 军事学
511 篇 艺术学
75 篇 哲学
46 篇 历史学

主题

19,985 篇 computer science
8,799 篇 accuracy
8,606 篇 computational mo...
7,863 篇 feature extracti...
7,458 篇 deep learning
7,238 篇 machine learning
6,427 篇 training
5,257 篇 data mining
5,110 篇 computer archite...
5,016 篇 support vector m...
4,932 篇 wireless sensor ...
4,799 篇 predictive model...
4,649 篇 costs
4,531 篇 bandwidth
4,483 篇 optimization
4,478 篇 application soft...
4,369 篇 protocols
4,351 篇 algorithm design...
4,321 篇 testing
4,273 篇 neural networks

机构

1,696 篇 department of co...
1,364 篇 department of co...
1,346 篇 department of el...
1,158 篇 department of el...
1,063 篇 cavendish labora...
973 篇 department of ph...
879 篇 department of co...
856 篇 physikalisches i...
844 篇 oliver lodge lab...
818 篇 department of el...
745 篇 university of ch...
638 篇 department of co...
550 篇 infn sezione di ...
539 篇 department of co...
521 篇 infn laboratori ...
519 篇 infn sezione di ...
516 篇 chitkara univers...
502 篇 horia hulubei na...
502 篇 infn sezione di ...
486 篇 department of co...

作者

258 篇 s. chen
256 篇 j. wang
250 篇 barter w.
237 篇 a. gomes
225 篇 blake t.
223 篇 c. alexa
219 篇 bellee v.
219 篇 bowcock t.j.v.
218 篇 amato s.
217 篇 j. m. izen
217 篇 betancourt c.
216 篇 boettcher t.
215 篇 borsato m.
209 篇 brundu d.
207 篇 beiter a.
204 篇 bencivenni g.
195 篇 bay a.
193 篇 g. bella
193 篇 c. amelung
192 篇 j. strandberg

语言

372,465 篇 英文
12,661 篇 其他
3,698 篇 中文
220 篇 日文
47 篇 德文
34 篇 朝鲜文
33 篇 法文
17 篇 斯洛文尼亚文
8 篇 西班牙文
8 篇 荷兰文
5 篇 土耳其文
4 篇 俄文
3 篇 葡萄牙文
2 篇 阿拉伯文
2 篇 捷克文
1 篇 加泰罗尼亚文
1 篇 泰文

检索条件"机构=Department of Computer Engineering and Computer Science"

共 388806 条记录，以下是4691-4700 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：

Windows Registry Attack and Defense: Behavior Analysis and Persistence Detection Based on ETW 2nd

Windows Registry Attack and Defense: Behavior Analysis and P...

引用

2nd International Conference on Security and Information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Chen, Jian-Xin Chang, Yang-Hsin Hwang, Yan-Ling Hunag, Jian-Hong Wang, Hao-Jyun Hsu, Fu-Hau Department of Computer Science and Information Engineering National Central University Taoyuan32001 Taiwan School of Applied Foreign Languages Chung Shan Medical University Taichung40201 Taiwan

ISBN: (纸本)9789819777853

Windows Registry contains various information about users and can be viewed as a database. While Microsoft gives users customization choices, it also unintentionally turns into a tool that attackers may fully use to carry out fileless assaults, incursion persistence, and other harmful actions. The opening section of this paper introduces the registry's logical structure and internal data structures. The following section examines registry-related threats and how the current Windows 10 operating system responds to them. Finally, it shows how a system based on Windows’ integrated logging system, ETW, has been implemented. The monitoring application records and filters registry write operation data, and the filtered data is then examined and sent to VirusTotal to ascertain if the written data was malicious. This study implements an ETW-based registry attack detection system that is effective and dependable. By integrating with VirusTotal, we can more quickly and correctly identify and stop registry assaults or misuse, protecting the security of user PCs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： computer viruses

来源：评论

学校读者我要写书评

暂无评论

A Machine Learning Framework for Osteoarthritis Diagnosis Using Advanced Feature engineering

A Machine Learning Framework for Osteoarthritis Diagnosis Us...

引用

Data science, Agents & Artificial Intelligence (ICDSAAI), International Conference on

作者： Shanthi Thangam Manukumar S Uma Venkata Siva Sai Y. Kowshik Department of Computer Science & Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

In addition to bone most cancers and other diseases, it isn't always unusual for people to be afflicted by fractures because of trauma or different motives. Fractures can arise in any bone in our body, including the ankle, heel, wrist, hip, ribs, foot, and chest. And greater. Fractures are not seen to the naked eye on an X-ray or CT test. However, those photographs are every so often insufficient for analysis. Nowadays, picture processing plays an essential role in fracture detection. Image processing is important for the storage and transmission of up-to-date facts, in particular for contemporary picture alternate, video coding (telephone conversation), digital libraries, photograph databases, and remote sensing. This article invites you to find out the imaging techniques used to stumble on fractures. This paper discusses the artwork of fracture detection the usage of new strategies to enhance image processing and fracture detection. This article affords the generation used to increase the photographic tool to intrusion detection gadgets, their blessings and drawbacks. Accuracy is the epoch value associated with a median value between 0.7 and zero.88, and we will recall an education mode with a model stored in h5 with many samples.

关键词： Wrist Video coding Training Accuracy Image processing Imaging Bones Telephone sets Osteoarthritis X-ray imaging

来源：评论

学校读者我要写书评

暂无评论

Enhancing IoT ECO System - Smart Parking System

Enhancing IoT ECO System - Smart Parking System

引用

IEEE Students' Conference on Electrical, Electronics and computer science (SCEECS)

作者： Avinash S Muthukrishnan S R. Aishwarya Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798331529833

ISBN: (纸本)9798331529840

The Smart Parking System is an innovative solution designed to tackle the challenges of parking in densely populated urban areas. By integrating advanced technologies such as RFID (Radio Frequency Identification) sensors, automated gate systems, and proximity sensors, the system delivers a streamlined and efficient parking experience. RFID technology automates entry and exit processes by recognizing vehicles equipped with RFID tags, reducing wait times and enhancing security through controlled access. Proximity sensors at each parking spot monitor occupancy in real-time, feeding data to a central management system that directs drivers to available spaces via digital signage or a mobile app. This real-time guidance decreases search time, reduces congestion, and improves overall parking organization. Designed with scalability and future-readiness, the system's central management unit can integrate additional features like payment processing, reservation systems, and predictive analytics powered by machine learning. This adaptability ensures the system remains relevant as technology advances and user needs evolve. The Smart Parking System also promotes sustainability by minimizing vehicle idling and carbon emissions, contributing to a reduced environmental impact. For users, the system offers a more convenient, secure, and efficient parking experience. For operators, it enhances operational efficiency, reduces manual labor, and provides valuable insights into parking patterns, aiding in pricing, expansion, and maintenance decisions. The system's modular design allows for cost-effective implementation, making it suitable for various facilities from small lots to large complexes. In summary, the Smart Parking System represents a forward-thinking approach to urban parking, combining technology, efficiency, and sustainability to improve urban living.

关键词： Technological innovation Urban areas Automated parking Sensor systems Real-time systems Security Sustainable development Intelligent sensors Vehicles Testing

来源：评论

学校读者我要写书评

暂无评论

Leveraging Machine Learning for Classification of Obesity Risk Across Diverse Demography

Leveraging Machine Learning for Classification of Obesity Ri...

引用

Advancement in Computation & computer Technologies (InCACCT), International Conference on

作者： Rishita Verma Samya Muhuri Department of Computer Science & Engineering Thapar Institute of Engineering and Technology Patiala India

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

Obesity is considered a global public health emergency due to its high risk of several chronic disorders, such as diabetes, hypertension, and cardiovascular disease. Due to the complexity of early risk prediction, obesity requires early interventions or classifications of individualized health management. This study demonstrates the implementation of several ML techniques to provide a comprehensive cross-frame study on the prediction of obesity risk. Application of multiple models, namely, LR (Logistic Regression), KNN (K-Nearest Neighbor), DTC (Decision Tree Classifier), GB (Gradient Boosting), MLP (Multiperceptron Network), and FNN (FeedForward Neural Network), are employed to check the performance on three benchmark datasets. The results showed that the accuracy of each model varied in the predictions, underlining both the benefits and the drawbacks of each approach in different scenarios. This study aims to develop more useful tools in clinical and preventive health, as it gives insight into comparing complex neural networks to conventional machine learning algorithms to predict the risk of obesity. The gradient boosting algorithm achieved the highest accuracy in all data sets, with a precision of 95% for Dataset 1 and 98% for both Dataset 2 and Dataset 3. This work underscores the potential of machine learning in public health and provides a foundation for policymakers and healthcare professionals to develop personalized and preventive strategies to combat obesity.

关键词： Obesity Adaptation models Accuracy Machine learning algorithms Nearest neighbor methods Predictive models Boosting Data models Decision trees Public healthcare

来源：评论

学校读者我要写书评

暂无评论

Unveiling the Potential of Deep Learning: A Multifaceted Approach to Pulmonary Disease Detection and Clinical Integration

Unveiling the Potential of Deep Learning: A Multifaceted App...

引用

Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), IEEE Conference on

作者： K LakshmiNadh Gurram Siva Anjali Pandi Jyoshna Devi Gude Lavanya Chalicheema Rajani Dodda Venkata Reddy Department of Computer Science and Engineering Narasaraopeta Engineering College Narasaraopet PalnaduDT India

ISBN: (数字)9798331521691

ISBN: (纸本)9798331521707

Pulmonary diseases are major challenges in health care basically because of the complexities of diagnosing and treating them. However, deep learning technology has shown that enhancing disease detection and integrating these technologies within healthcare environments is possible. This project aims to improve the accuracy of pulmonary disease diagnosis focusing on viral pneumonitis, bacterial pneumonitis, COVID-19, and normal lung conditions through deep learning models. Our models leverage sophisticated, specifically developed CNNs that identify subtle patterns and differences indicative of these diseases from a variety of clinical imaging modalities, including chest radiographs and computed tomography scans. In addition, the project explores ways of incorporating such AI-based ways into present-day clinical practice so that we can shift from traditional methods towards those informed by AI. During this research work among different groups of patients, we have conducted rigorous tests on our models against established diagnostic standards. The findings show significant changes in early detection and significantly reduced diagnostic error rates which emphasize the disruptive ability of deep learning to pulmonary disease management. It also discusses ethical and practical challenges in the use of AI in healthcare, particularly in ensuring patient privacy, making AI-driven decisions transparent, and the need for education and training of healthcare professionals. This work emphasizes the potential that deep learning possesses in revolutionizing the detection of pulmonary diseases and paves the way for its wide application in clinical practice.

关键词： Deep learning COVID-19 Pneumonia Microorganisms Accuracy Computational modeling Lungs Medical services Convolutional neural networks Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Developing a computer-Assisted System for Malignant Melanoma-Skin Cancer Detection Using Convolutional Neural Network

Developing a Computer-Assisted System for Malignant Melanoma...

引用

International Conference on Electrical, computer and Communication engineering (ECCE)

作者： Tanha Kabir Koly Mohammad Ashfak Habib Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chittagong Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

In recent years, Melanoma-Skin Cancer has emerged as a major health issue worldwide. Early detection plays a vital role in improving the prognosis of the disease. Leveraging computer vision in both the industrial and medical sectors presents promising opportunities. Our study focuses on introducing a computer-assisted approach based on deep learning for the detection and classification of Melanoma. We utilized three public datasets-ISIC-2017, ISIC-2020, and the Complete mednode dataset. Our methodology involved image processing, followed by inputting the processed images into a deep convolutional neural network (CNN) for automatic feature extraction and categorization as Malignant(melanoma) or Benign(non-melanoma). The experimental outcomes of our proposed framework showcased enhanced classification accuracy compared to existing CNN models.

关键词： Deep learning computer vision Convolution Computational modeling Neural networks Melanoma Feature extraction Cancer detection Convolutional neural networks Prognostics and health management

来源：评论

学校读者我要写书评

暂无评论

Toward Designing a Reduced Phone Set Using Text Decoding Accuracy Estimates in Speech BCI

Toward Designing a Reduced Phone Set Using Text Decoding Acc...

引用

18th International Joint Conference on Biomedical engineering Systems and Technologies, BIOSTEC 2025

作者： Komeiji, Shuji Shinoda, Koichi Tanaka, Toshihisa Department of Electronic and Information Engineering Tokyo University of Agriculture and Technology Naka-cho Tokyo Koganei-shi Japan Department of Computer Science Tokyo Institute of Technology Japan

Reducing the phone set in speech recognition or speech brain-computer interface (BCI) tasks improves phone discrimination accuracy. This reduction may also degrade text decoding accuracy due to increased homonyms. To address this, we propose a novel estimator called the Generalized Pronunciation/Word Confusion Rate (GPWCR), which estimates text decoding accuracy by considering both phone discrimination performance and the number of homonyms. By minimizing the GPWCR, we designed the optimal reduced phone set. Experimental results from Japanese large vocabulary speech recognition demonstrate that the optimal phone set, reduced from 39 to 38 phones, lowered the word error rate from 14.1% to 13.8%. © 2025 by SCITEPRESS– science and Technology Publications, Lda.

关键词： Decoding

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Various Clustering Methods on Dengue Microarray Gene Expression Dataset and Pathway Enrichment Analysis

A Comparative Study of Various Clustering Methods on Dengue ...

引用

International Symposium on Advanced Computing and Communication (ISACC)

作者： Epsita Das Piyali Chatterjee Department of Computer Science and Engineering Netaji Subhash Engineering College Kolkata India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Recently, disease progression caused by dengue virus has intensely increased and affected almost 80 countries of WHO. As a result, in the year of 2023, 6.5 million cases of dengue infection followed by 7300 dengue-related deaths have been reported. The global spread of dengue is driven by the lack of vaccines and insufficient vector control efforts. Human and dengue virus interaction affects gene expression value which needs to be investigated for biomarker prediction. Using clustering methods, it is possible to identify genes contributing to a deeper understanding to know how the virus manipulates host cell machinery and gain insight of the same biological pathways or cellular processes. Clustering results may help in identification of biomarkers, uncovering potential therapeutic targets. This study aims to analyze dengue gene expression dataset GSE51808 through various unsupervised clustering algorithms leveraging the identification of new biomarkers through enrichment analysis.

关键词： Drugs Clustering methods Supervised learning Clustering algorithms Vaccines Gene expression Machinery Intelligent systems Viruses (medical) Machine vector control

来源：评论

学校读者我要写书评

暂无评论

Ensemble Deep Learning Approach for Identification of DDOS Attack 1st

Ensemble Deep Learning Approach for Identification of DDOS A...

引用

1st International Conference on Advances in Artificial Intelligence and Machine Learning in Big Data Processing, AAIMB 2023

作者： Balakrishnan, C. kumar, V. S. Prassana Department of Computer Science and Engineering S.A.Engineering College Chennai India

ISBN: (纸本)9783031730641

Numerous IoT web apps have been hindered by multiple safety hazards and network intrusions as a result of the home control dataset's on going enhancement. Automating your home has always been centred on safety and the recognition of DDOS Threats. It is essentially possible to make use of numerous IoT web-based resources through input of a set of data for the home's automation or by tapping on a hyperlink in the application itself. The cloud manages the aforementioned difficulties in the concept of the Edge of Things. An attacker can create various web strikes. By embedding executable instructions or injecting illicit software inside a DDOS threat, many simultaneous intricate models are employed to improve system reliability and the ease of maintaining data disclosure. By accurately recognising malicious automated homes information set, it is crucial to enhance the steadfast reliability and integrity of IOT web apps. The site of harmful home automation information set detection according to character-centered material categorization emphasises will be investigated using an artificial learning algorithm system in this work. The fact that hazardous buzz phrases are exceptional home automation information set, it is possible to divide the equipment in an ordinary intelligent home setting into four classes: Class 1 is very high traffic reliability, Class 2 is high traffic certainty, Class 3 is medium traffic accuracy, and Class 4 is low traffic stability. According on the test outcomes, our suggested neural network identification algorithm is actually appropriate for high-accuracy tasks such as categorization. When compared to different categorization designs, the model's accuracy rate is over %. Considerable speculative and empirical advantages for web safety studies can be derived from the use of deep learning to aggregate home automation information to identify Web visitor's goals, which opens up novel possibilities for clever safety studies. © The Author(s), under ex

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Obstacle Detection on Autonomous Driving Systems

Obstacle Detection on Autonomous Driving Systems

引用

Advanced Computing Technologies (ICoACT), International Conference on

作者： Vignesh S K Karunya Vijaya Sankar K P S L Jany Shabu D Poornima Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (数字)9798331509859

ISBN: (纸本)9798331509866

Self-driving cars, also known as autonomous vehicles are capable of supplanting automobiles driven by humans. In situations that humans find difficult, autonomous vehicles are able to examine their surroundings and ease through roadways. Many people might soon turn very dependent on AVs and overconfident that there won't be any failures owing to this. This has resulted in AVs having both affirmative as well as bad hands on the society. A combination of hardware, software, people, and their interactions, AVs are X-ware systems. There are still a lot of unanswered questions regarding AVs despite the abundance of research on the subject. Communication with pedestrians and other cars on the road is one of the biggest problems facing AVs. There must be an interaction between AVs and other transport users if autonomous cars have to replace human- driven vehicles. Few previous studies have examined the role of humans in the present shift to a society where self-driving cars are the norm, whereas the majority have focused on software errors. Three perspectives are examined in this paper: I that of the AV's driver and passenger; II that of pedestrians; and III that of the AV's interactions with other users of the transportation network. We also talk about relevant behavioral research.

关键词： computer vision Pedestrians Roads Software Autonomous automobiles Trajectory Automobiles Security Vehicle dynamics Vehicles

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 << < 466 467 468 469 470 471 472 473 474 475 > >>

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：