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

40,019 篇 会议
1,074 册 图书
457 篇 期刊文献
1 篇 学位论文

馆藏范围

41,551 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

23,942 篇 工学
- 18,157 篇 计算机科学与技术...
- 14,374 篇 软件工程
- 6,176 篇 信息与通信工程
- 3,983 篇 控制科学与工程
- 3,175 篇 电气工程
- 2,552 篇 生物工程
- 2,436 篇 电子科学与技术（可...
- 2,201 篇 生物医学工程（可授...
- 2,095 篇 机械工程
- 1,650 篇 动力工程及工程热...
- 1,516 篇 光学工程
- 1,237 篇 仪器科学与技术
- 1,221 篇 化学工程与技术
- 1,117 篇 安全科学与工程
- 951 篇 建筑学
9,628 篇 理学
- 4,150 篇 数学
- 3,011 篇 物理学
- 2,736 篇 生物学
- 1,228 篇 统计学（可授理学、...
- 1,144 篇 化学
- 951 篇 系统科学
6,224 篇 管理学
- 4,397 篇 管理科学与工程(可...
- 2,260 篇 工商管理
- 2,201 篇 图书情报与档案管...
2,206 篇 医学
- 1,803 篇 临床医学
- 1,693 篇 基础医学(可授医学...
- 1,117 篇 公共卫生与预防医...
- 928 篇 药学(可授医学、理...
1,254 篇 法学
- 1,026 篇 社会学
920 篇 经济学
- 914 篇 应用经济学
798 篇 教育学
526 篇 农学
211 篇 文学
195 篇 军事学
38 篇 艺术学
2 篇 哲学
1 篇 历史学

主题

1,356 篇 internet of thin...
1,322 篇 computer archite...
1,062 篇 computational mo...
1,040 篇 real-time system...
1,037 篇 accuracy
841 篇 artificial intel...
820 篇 wireless sensor ...
818 篇 deep learning
685 篇 monitoring
683 篇 application soft...
679 篇 cloud computing
673 篇 machine learning
669 篇 training
640 篇 security
580 篇 computer science
576 篇 feature extracti...
574 篇 protocols
507 篇 software
467 篇 wireless communi...
456 篇 hardware

机构

106 篇 chitkara univers...
67 篇 school of comput...
56 篇 lovely professio...
45 篇 maharishi school...
44 篇 school of comput...
42 篇 department of el...
39 篇 centre of resear...
35 篇 computer science...
33 篇 school of comput...
31 篇 school of comput...
31 篇 centre of interd...
29 篇 department of co...
28 篇 karnataka bangal...
28 篇 graphic era deem...
28 篇 department of co...
27 篇 school of comput...
27 篇 department of co...
26 篇 computer technol...
25 篇 department of co...
25 篇 chitkara centre ...

作者

36 篇 bernady o. apduh...
33 篇 rakesh kumar
18 篇 amit kumar
16 篇 valeriy vyatkin
15 篇 weiming shen
15 篇 shiva mehta
15 篇 amit joshi
15 篇 muntather almusa...
13 篇 bibhuti bhusan d...
12 篇 gupta richa
12 篇 marina l. gavril...
11 篇 patti gaetano
11 篇 wang lei
11 篇 zhang lei
11 篇 sharma dilip kum...
11 篇 manika manwal
11 篇 alzubaidi laith ...
11 篇 rishabh sharma
10 篇 sharma vikrant
10 篇 anjali t.

语言

39,975 篇 英文
1,287 篇 其他
421 篇 中文
5 篇 法文
3 篇 土耳其文
1 篇 德文
1 篇 西班牙文
1 篇 葡萄牙文
1 篇 俄文
1 篇 乌克兰文

检索条件"任意字段=International Conference on Computer Technologies in Physical and Engineering Applications"

共 41551 条记录，以下是141-150 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 Novel Framework Combining CNN, LSTM, and Meta-Learning for Real-Time Monitoring of Anesthetic-Induced Brain States 3

A Novel Framework Combining CNN, LSTM, and Meta-Learning for...

引用

3rd international conference on Intelligent and Innovative technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Jyothi, B.G. Arpitha, K. Adichunchanagiri University Bgs Institute of Technology Department of Computer Science Engineering B.G Nagar Mandya District India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

In order to improve our understanding of brain function, monitoring the depth of unconsciousness during anesthesia is essential for both clinical practice and neuroscience research. The electroencephalogram (EEG) is a frequently used objective instrument for monitoring the changed states of the brain caused by anesthesia in real time. The effects of various general anesthetics on brain electrical activity are not the same. However, because of the low Signal to Noise Ratio (SNR) of EEG data, traditional machine learning models have difficulty with it, particularly in office-based anesthetic settings. applications of Brain-computer Interface (BCI) for pattern recognition and classification have seen a rise in the use of deep learning models, which are renowned for their great generalization and resilience in the face of noise. Deep learning has shown effective in a number of BCI applications, although its use in categorizing brain states while anesthesia is still relatively new. This research presents a unique framework to characterize brain states under anesthesia that combines deep neural networks and meta-learning. The framework uses a Long Short-Term Memory (LSTM) network to capture temporal relationships, Convolutional Neural Networks (CNN) to extract power spectrum features, and a meta-learning technique to address large cross-subject variability. © 2025 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

Blockchain-based security solutions for IOT networks: Analysing efficacy and implementation challenges

Blockchain-based security solutions for IOT networks: Analys...

引用

2025 international conference on Pervasive Computational technologies, ICPCT 2025

作者： Kumar, Gotte Ranjith Chamaraju, Y.S. Mulani, Umar M Naveenkumar, R. Datta, Auadhati Kanwer, Budesh Sr University School of Cs & Ai Telangana Warangal India Govt Cpc Polytechnic Department of Electronics & Communication Engineering Karnataka Mysore570007 India Kj College of Engineering and Management Research Pune India Chandigarh Group of Colleges Jhanjeri Chandigarh Colleges of Engineering Department of Computer Science and Engineering Punjab Mohali140307 India Vignan's Institute of Information Technology Department of Management Studies Andhra Pradesh Duvvada India Poornima Institute of Engineering and Technology Rajasthan Jaipur India

ISBN: (纸本)9798331508685

Blockchain innovation has gathered significant attention from both scholars and industry professionals after years of development. This technology enables the creation of smart contracts, which facilitate automated deal execution among users. Today, blockchain is also employed as a specialized infrastructure in some IT applications, helping prevent data duplication, similar to how Bitcoin and other cryptocurrencies manage transaction records. Bitcoin records, for instance, are exceptionally secure as the currency circulates across hundreds of thousands of servers, making it nearly impossible to alter. For a successful breach, an attacker would need to manipulate records on 51% of these servers simultaneously. In contrast, private data stored on single servers, such as those managed by Amazon and Google, are more vulnerable to cyberattacks. In this paper, the study propose leveraging blockchain to address security concerns in the Internet of Things. The study identifies and categorizes common security challenges, with a focus on data privacy issues, as well as the protocols used for network organization, communication, and management. Following this, the study outline security solutions for IoT and illustrate scenarios in which blockchain is applied within IoT applications. © 2025 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Classification of System Failures in Cyber-physical Systems Using Heterogeneous Edge Enhanced Graph Attention Networks 3

Classification of System Failures in Cyber-Physical Systems ...

引用

3rd international conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Obidhusin, Saef Chandra, N. Subhash Balamurugan, D. Premalatha, J. Kumararaja, K. College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Al Diwaniyah Iraq Cvr College of Engineering Department of Computer Science and Engineering Hyderabad India Sona College of Technology Department of Computer Science and Engineering Salem India Dhanalakshmi Srinivasan College Of Engineering Technology Department of Computer Science and Engineering Mamallapuram India New Prince Shri Bhavani College of Engineering and Technology Department of Mechanical Engineering Chennai India

ISBN: (纸本)9798331508456

From the past few years, Cyber-physical Systems (CPS) have rapidly evolved in various sectors by integrating computing, networking, and physical processes. CPS facilitates the management of critical infrastructure such as transportation, healthcare, and energy. Even though there are advanced technologies, which are vulnerable to failures led to severe consequences including unpredictable interactions between cyber and physical components. Therefore, to address these issues a robust model is proposed by using Heterogeneous Edge-Enhanced Graph Attention Network (HEE-GAT). Initially, the data is collected from BoT-IoT database which consists of huge traffic data. Then, the collected data is preprocessed using Z-score normalization is applied to standardize feature distributions while preserving network traffic characteristics. Furthermore, for selection of significant features Skill Optimization Algorithm (SOA) is utilized. Finally, HEE-GAT is utilized for effective classification of system failures in CPS. Unlike existing failure detection models such as LSTM-GNN hybrids, which struggle with capturing heterogeneous dependencies and dynamic edge relationships in CPS data, HEE-GAT enhances graph-based learning by assigning dynamic edge weights and utilizing attention mechanisms to distinguish between different failure types with higher accuracy. The proposed HEE-GAT model acquired accuracy of 95% when compared to the existing Fractional Artificial Protozoa Optimization enabled Spiking VGG-16 (FAPO Spiking VGG-16). © 2025 IEEE.

关键词： Service oriented architecture (SOA)

来源：评论

学校读者我要写书评

暂无评论

Analysis of Feedback and Re-Circulating Buffer Based Optical Packet Switch 1

Analysis of Feedback and Re-Circulating Buffer Based Optical...

引用

1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Sinha, Amit Bhardwaj, Diwakar Shukla, Vaibhav Computer Engineering &Applications GLA University Mathura India Tech Mahindra Mumbai Mumbai India

ISBN: (纸本)9798331518578

In optical packet switching (OPS), contention is major phenomenon where more than one packet tries to occupy the same output port. This paper introduces a new design for an optical packet switch based on hybrid buffering strategy. In this hybrid scheme both Feedback and Re-Circulating buffers are used to hold the contending packets. OPS is a latest transmission technology which is based on the optics and provide high bandwidth and very low latency. However, as the traffic conditions varies continuously, therefore a key challenge is to design buffering strategy. In this study, we explore how combining the benefits of both Feedback and Re-Circulating buffers can improve the overall performance of OPS. The performance of the switch is measured in terms of packet loss probability. By looking at packet loss and buffer usage under different traffic conditions, main aim to understand the impact of this hybrid approach. Our results show that using both types of buffers in the same switch leads to a lower chance of packet loss, improving the overall network performance. We found that the proposed design performs better in terms of packet loss probability compared to other approaches. © 2025 IEEE.

关键词： Packet loss

来源：评论

学校读者我要写书评

暂无评论

Fire Suppression Robot with Image Processing for Warehouse Safety 1

Fire Suppression Robot with Image Processing for Warehouse S...

引用

1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Base, James Allen V. Dorosan, Jairus F. Ocampo, Kyle Joshua P. Puma, Aeron Joshua M. Mercado, Mark Angelo T. Niega, Juliet O. Nationial University Philippines Department of Computer Engineering Laguna Calamba City Philippines

ISBN: (纸本)9798331518578

Warehouses are highly vulnerable to fire hazards due to the presence of combustible materials, high-energy equipment, and operational complexities. In response, the proponents propose a solution to the pressing issue of warehouse fire which pose a significant threat globally, including Philippines. The prototype that the proponents developed introduces an advance approach to fire detection and suppression. It is an incorporation of the YOLO algorithm to ensure fire detection with high accuracy, the Raspberry Pi 5 for advanced image processing, and the Arduino Mega for effective hardware control. The overall performance capacity of the robot in terms of detection and suppression shows efficiency as it provides faster response with great productivity, compared to using traditional firefighting techniques with human intervention. With an average of 4.0, or interpreted as good, it confirms that it is effective and reliable in suppressing fire. Recommendations for future improvements include expanding the dataset and enhancing hardware scalability to optimize the system's real-world applications. © 2025 IEEE.

关键词： Fire extinguishers

来源：评论

学校读者我要写书评

暂无评论

Cloud-Based Deep Learning for Weather Forecasting

Cloud-Based Deep Learning for Weather Forecasting

引用

2025 international conference on Pervasive Computational technologies, ICPCT 2025

作者： Sharma, Rupak Tyagi, Pallavi Vajpayee, Pooja Gangwar, Deepti Tyagi, Umang Saraswat, Birendra Kumar Srm Institute of Science and Technology Department of Computer Applications NCR Campus UP Modinagar India Raj Kumar Goel Institute of Technology Computer Science & Engineering UP Ghaziabad India Galgotias University School of Computer Science and Engineering Greater Noida India Raj Kumar Goel Institute of Technology Department of Ece UP Ghaziabad India

ISBN: (纸本)9798331508685

Deep learning is a robust framework for solving complex prediction and forecasting problems from multiple fields, such as weather sciences. Due to the abundance and higher resolution of data available, cloud-based deep learning offers a compelling approach for achieving promising gains in accuracy and efficiency regarding weather forecasting. A more pressing priority in the face of worsening weather events requires faster and more reliable forecasting. Deep learning in the cloud is implemented by training deep neural networks on large datasets stored in a public or private cloud and subsequently using these pre-trained models to predict new data. This encourages using large-scale computational resources, such as those necessary to tackle the heavy data needed for precise meteorological forecasts. Such deep learning models have the flexibility and scalability required to adapt and tune them for specific weather patterns, which can then run on a cloud, enabling readiness as demanded. In this work, 3, x, y present a scalable deep learning-based approach to extended-range temperature prediction on high-performance cloud resources. We use the model to train on historical weather data combined with real-time observed weather from various sources. © 2025 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

A Review on Synergizing Convolutional and Swin Transformer Approaches for Superior Remote Sensing Detection 6

A Review on Synergizing Convolutional and Swin Transformer A...

引用

6th international conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Reddy, Allipurapu Meghanath Gangadhara, Sai Likhith Reddy, R. Ravinder Padmalatha, E. Computer Science and Engineering Chaitanya Bharathi Institute of Technology Hyderabad India

ISBN: (纸本)9798331522667

Remote sensing object detection plays a crucial role in environmental monitoring, yet traditional methods often face difficulties with varying object scales, intricate backgrounds, and densely populated small objects. This research study elaborates on various methodologies carried out in the remote sensing detection area, with the support of the latest advances in traditional and deep learning techniques. We make a critical presentation of CNNs, Swin Transformers, and hybrid models, their adaptations, benefits, and limitations. Performance metrics along with adaptability across different datasets and environments are presented through comparative analysis of various models. The paper provides in-depth analysis into the ever-changing landscape of remote sensing technologies and the latest tangible applications regarding such technologies. © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Empowering Students with Augmented Reality to Learn about Solar Cells 6

Empowering Students with Augmented Reality to Learn about So...

引用

6th international conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Poddar, Kishan Sharma, Bhanu Kumar, Bura Vijay Chitkara University Institute of Engineering & Technology Chitkara University Punjab India School of Computer Science and Artificial Intelligence SR University Warangal India

ISBN: (纸本)9798331522667

This research work describes the development and evaluation of a marker-based augmented reality (AR) applications that can be used to teach students how solar cells work. An AR application integrated with the learning process can help students to learn more about solar energy conversion using interactive visualizations. The understanding and involvement show better knowledge retention amongst students implementing application than among traditional teaching methodologies. The results demonstrate that AR technology has significant potential to serve as a transforming educational tool through which more complex scientific knowledge might become accessible in an interactive way. Future iterations could broaden the focus areas of the application, extend to other renewable technologies topics, and incorporate more interactive functionalities to enhance the learning experience and improve on comprehension about sustainable energy technologies. © 2025 IEEE.

关键词： Clean energy

来源：评论

学校读者我要写书评

暂无评论

Optimized Mimo-Ofdm with Sequential Monte Carlo Detection for Low- Complexity IoT applications 1

Optimized Mimo-Ofdm with Sequential Monte Carlo Detection fo...

引用

1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Sahoo, Girija Shankar Manjunath, Honganur Raju Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Physics Karnataka Ramnagar District India

ISBN: (纸本)9798331518578

An innovative digital modulating method, indices modulation (IM) deactivates certain subcarriers that in orthogonal multiplexing of frequencies (OFDM) in order to transfer bits subconsciously using their indices. This technique has the ability to further enhance the environment and error efficiency. A low-complexity and highly efficient IM-supported technique is required to decrease the computation burden in the receiving part of multiple-input multiple-output (MIMO)-aided Internet of Things (IoT) devices. To achieve two, communicate diversity orders and a substantial decrease in computational workload at the expense of an insignificant loss in spectral efficiency, Presenting a new, highly effective MIMO-OFDM with IM system in this paper. This scheme works through carrying out IM on particular communicate antennas category, that contain 2 antenna that transmits. To make demodulating easier, offer a lower complex sequentially Monte Carlo (SMC) grounded in model detection system using QR break down to determine the most probable transmitted IM sequences & altered symbols. This detector takes advantage of the empty space submatrix in the processed channels reaction matrix. Below the similar group, the suggested SMC detectors have the ability to attain nearby-optimal bit rate faults achievement with significantly reduced demodulating complex actions, and computer simulations outcomes and complex analyses demonstrate that the suggested IM-supported system accomplishes better fault achievement with very simple computation requirements. © 2025 IEEE.

关键词： Demodulation

来源：评论

学校读者我要写书评

暂无评论

An Extended Euclidean Algorithm Implementation over Ciphertext Space 2nd

An Extended Euclidean Algorithm Implementation over Ciphert...

引用

2nd international conference on Security and Information technologies with AI, Internet Computing and Big-data applications, SITAIBA 2023

作者： Chi, Po-Wen Lin, Yuan-Pang Wang, Ming-Hung Chuang, Yun-Hsin Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan Taipei Taiwan Department of Computer Science and Information Engineering National Chung Cheng University Taiwan Chiayi Taiwan Engineering Management Graduate Program College of Engineering National Cheng Kung University Taiwan Tainan Taiwan

ISBN: (纸本)9789819777853

Fully homomorphic encryption (FHE) is a useful cryptographic primitive. It makes a third-party manipulate data in the ciphertext space and therefore is a key technology for privacy-preserving outsourcing services. Theoretically, FHE can evaluate any circuits. However, the implementation is not trivial. The reason it lacks lots of basic operations like conditional check and branch control. In this paper, we focus on extended Euclidean algorithm operation over FHE. We introduce the problems we encounter and show how we solve these issues. We implement our design and evaluate its performance on a real computer. Finally, we propose some research directions for our future work. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Ciphertext

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 << < 11 12 13 14 15 16 17 18 19 20 > >>

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：