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

89,082 篇 会议
1,040 册 图书
855 篇 期刊文献
2 篇 学位论文
1 篇 专利
1 篇 科技报告

馆藏范围

90,977 篇 电子文献
5 种 纸本馆藏

日期分布

学科分类号

29,916 篇 工学
- 19,849 篇 计算机科学与技术...
- 13,614 篇 软件工程
- 5,830 篇 控制科学与工程
- 5,456 篇 电气工程
- 4,740 篇 信息与通信工程
- 3,126 篇 机械工程
- 2,607 篇 电子科学与技术（可...
- 2,433 篇 仪器科学与技术
- 1,365 篇 生物工程
- 1,321 篇 生物医学工程（可授...
- 1,094 篇 动力工程及工程热...
- 1,062 篇 光学工程
- 873 篇 化学工程与技术
- 833 篇 交通运输工程
- 799 篇 材料科学与工程（可...
- 773 篇 安全科学与工程
- 748 篇 建筑学
- 724 篇 土木工程
10,928 篇 理学
- 6,043 篇 数学
- 2,862 篇 物理学
- 2,117 篇 统计学（可授理学、...
- 2,113 篇 系统科学
- 1,551 篇 生物学
- 937 篇 化学
6,424 篇 管理学
- 4,752 篇 管理科学与工程(可...
- 2,112 篇 图书情报与档案管...
- 1,866 篇 工商管理
1,323 篇 医学
- 1,069 篇 临床医学
- 797 篇 基础医学(可授医学...
752 篇 法学
- 677 篇 社会学
561 篇 经济学
480 篇 教育学
329 篇 农学
242 篇 文学
132 篇 军事学
90 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

19,093 篇 computational mo...
6,958 篇 measurement
6,104 篇 computer archite...
4,804 篇 computer science
4,672 篇 accuracy
3,991 篇 predictive model...
3,767 篇 analytical model...
3,632 篇 real-time system...
3,607 篇 mathematical mod...
3,585 篇 data models
3,454 篇 training
3,310 篇 biological syste...
2,843 篇 solid modeling
2,812 篇 feature extracti...
2,636 篇 computer simulat...
2,541 篇 application soft...
2,447 篇 control systems
2,260 篇 object oriented ...
2,141 篇 monitoring
2,020 篇 testing

机构

70 篇 school of comput...
65 篇 chitkara univers...
63 篇 school of comput...
58 篇 department of el...
54 篇 computer science...
50 篇 department of co...
48 篇 college of compu...
46 篇 school of comput...
45 篇 department of el...
44 篇 school of comput...
42 篇 college of compu...
38 篇 department of co...
38 篇 school of electr...
37 篇 school of electr...
37 篇 department of el...
36 篇 department of el...
35 篇 tsinghua univers...
34 篇 school of comput...
34 篇 department of el...
33 篇 faculty of compu...

作者

37 篇 lei wang
33 篇 anon
28 篇 jian wang
26 篇 jun wang
26 篇 bernady o. apduh...
23 篇 rui wang
23 篇 hui wang
23 篇 andrzej napieral...
22 篇 shiva mehta
22 篇 kang li
19 篇 rakesh kumar
19 篇 tao yang
18 篇 li li
17 篇 bin wang
17 篇 marina l. gavril...
16 篇 chunyan miao
16 篇 yong meng teo
16 篇 xi chen
16 篇 wang lei
16 篇 qing wang

语言

89,959 篇 英文
595 篇 其他
440 篇 中文
27 篇 俄文
4 篇 西班牙文
3 篇 德文
2 篇 法文
2 篇 葡萄牙文
2 篇 土耳其文
1 篇 乌克兰文

检索条件"任意字段=International Conference on Measurement and Modeling of Computer Systems"

共 90981 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：

Implementation of a Pulse Method for Determining the Parameters of a Low-Signal Equivalent Circuit of Semiconductor Devices

Implementation of a Pulse Method for Determining the Paramet...

引用

international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Pavel K. Zakharov Elena M. Torina National Research University “MPEI” Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

The paper demonstrates the implementation of a pulse method for estimating the parameters of small-signal circuits of semiconductor devices at moderately high frequencies. The theoretical foundations of the method were described, computer modeling was carried out. A mock-up has been assembled for a low-frequency bipolar transistor, the experimental study of which confirmed the theoretical analysis. The results of the work have been successfully implemented in the educational process in the form of laboratory work, which makes it possible to study the properties of a bipolar transistor.

关键词： Pulse generation Bipolar transistors Semiconductor device measurement Pulse measurements Computational modeling Semiconductor diodes Transistors Integrated circuit modeling Springs Equivalent circuits

来源：评论

学校读者我要写书评

暂无评论

1985 ACM SIGMETRICS conference ON measurement AND modeling OF computer-systems

引用

PERFORMANCE EVALUATION 1985年第4期5卷 289-294页

作者： [Anonymous]

来源：评论

学校读者我要写书评

暂无评论

Anomaly Detection on Gas Pipeline Operational Data Using Classic Seasonal Decomposition and Level Shift Anomaly Detection Architecture

Anomaly Detection on Gas Pipeline Operational Data Using Cla...

引用

Advancement in Data Science, E-learning and Information systems (ICADEIS), international conference on

作者： Akmal Muzakki Bakir Aditya Firman Ihsan Widi Astuti School of Computing Telkom University Bandung Indonesia

ISBN: (数字)9798331513320

ISBN: (纸本)9798331513337

Gas pipeline infrastructure is critical to energy distribution, but its operational existence is often threatened by anomalies such as leaks, malfunctions, and system disruptions. Early detection of these anomalies is critical to prevent safety hazards, operational inefficiencies, and economic losses. This paper proposes an anomaly detection framework using Classic Seasonal Decomposition and Level Shift Anomaly Detection methods for frequency selection and labeling processes, as well as LSTM and VAE-GAN algorithms for anomaly detection. The dataset consists of time-series sensor measurements, including pressure, temperature, energy flow rate, and gas composition. Classic Seasonal Decomposition isolates trend, seasonal, and residual components, enhancing periodic anomaly detection. Meanwhile, Level Shift Anomaly Detection identifies abrupt changes in data levels that signal critical events. LSTM leverages temporal dependencies to detect anomalies with high accuracy in data with strong sequential patterns, while VAE-GAN is effective in modeling complex data distributions and capturing anomalies in datasets with less obvious patterns. Experimental results demonstrate the effectiveness of the proposed approach, with model performance evaluated using F1-Score for each LSTM and VAE-GAN model. The proposed framework shows great potential for peering into real-time monitoring systems, improving operational efficiency, supporting data-driven decision making, and significantly reducing the risk of system failure.

关键词： Temperature measurement Computational modeling Pipelines Decision making computer architecture Market research Data models Real-time systems Anomaly detection Long short term memory

来源：评论

学校读者我要写书评

暂无评论

Analysis of Functional Parameters of Fiber-Optic Sensors Based on Mandelstam-Brillouin Scattering Principle

Analysis of Functional Parameters of Fiber-Optic Sensors Bas...

引用

international Russian Smart Industry conference (SmartIndustryCon)

作者： Erzhena Garmaeva Nikolai Gorlov Evgenia Kitova Communication lines department Siberian State University of Telecommunications and Computer Science Novosibirsk Russia Foreign languages department for technical faculties Novosibirsk State Technical University Novosibirsk Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

In recent twenty years fiber optic sensors using Mandelstam Brillouin scattering effect have obtained a wide application in distributed measurements of temperature and deformation. Their application in engineering structures requires the analysis of functional parameters under conditions of noise interference onto backscatter signal spectrum. The research presents a mathematical model for measurement process based on stimulated scattering emphasizing on the measurement errors analysis. The formulas are presented for evaluation of mean quadratic errors in temperature and deformation measurements depending on noise-to-signal ratio and number of measurement cycles. In addition, methods to assess spatial resolution and dynamic range are proposed. Variations in methods for detection and processing backscattering spectra make it possible to produce efficient sensor systems which can monitor parameter change in real time.

关键词： Temperature measurement Temperature sensors Optical fiber sensors measurement errors measurement uncertainty Sensor systems Real-time systems Noise measurement Monitoring Backscatter

来源：评论

学校读者我要写书评

暂无评论

Generative Adversarial Networks for Imputing Sparse Learning Performance 27th

Generative Adversarial Networks for Imputing Sparse Learnin...

引用

27th international conference on Pattern Recognition, ICPR 2024

作者： Zhang, Liang Yeasin, Mohammed Lin, Jionghao Havugimana, Felix Hu, Xiangen Institute for Intelligent Systems University of Memphis MemphisTN38152 United States Department of Electrical and Computer Engineering University of Memphis MemphisTN38152 United States Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA15213 United States Centre for Learning Analytics Monash University MelbourneVIC3800 Australia Department of Applied Social Sciences Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9783031781711

Learning performance data, such as correct or incorrect responses to questions in Intelligent Tutoring systems (ITSs) is crucial for tracking and assessing the learners’ progress and mastery of knowledge. However, the issue of data sparsity, characterized by unexplored questions and missing attempts, hampers accurate assessment and the provision of tailored, personalized instruction within ITSs. This paper proposes using the Generative Adversarial Imputation Networks (GAIN) framework to impute sparse learning performance data, reconstructed into a three-dimensional (3D) tensor representation across the dimensions of learners, questions and attempts. Our customized GAIN-based method computational process imputes sparse data in a 3D tensor space, significantly enhanced by convolutional neural networks for its input and output layers. This adaptation also includes the use of a least squares loss function for optimization and aligns the shapes of the input and output with the dimensions of the questions-attempts matrices along the learners’ dimension. Through extensive experiments on six datasets from various ITSs, including AutoTutor, ASSISTments and MATHia, we demonstrate that the GAIN approach generally outperforms existing methods such as tensor factorization and other generative adversarial network (GAN) based approaches in terms of imputation accuracy. This finding enhances comprehensive learning data modeling and analytics in AI-based education. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Hybrid Routing and Energy Management for Performance Optimization in Mobile Ad-hoc Networks 2

Hybrid Routing and Energy Management for Performance Optimiz...

引用

2nd international conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Nirmala, B. Vijaya Francis Raj, J. Relin Krishnan, R. Santhana Lavanya, V. Pitchirani, A. Kumar, V. Vinoth PSNA College of Engineering and Technology Department of Information Technology Dindigul India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Electronics and Communication Engineering Chennai India SCAD College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India SCAD College of Engineering and Technology Department of Computer Science and Engineering Cheranmahadevi India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798331505745

Mobile Ad-hoc Networks (MANETs) encounter challenges related to dynamic topologies, energy constraints, and link instability. To enhance performance, a hybrid model integrates Ad-hoc On-demand Multipath Distance Vector (AOMDV), Power-Efficient Gathering in Sensor Information System (PEGASIS), and Deep Q-Network (DQN). OMNeT++, a discrete event simulation framework, facilitates comprehensive data collection, capturing key network parameters such as node density, signal strength, packet transmission rate, residual energy, routing paths, link breakage frequency, and packet delivery status. Stored in scalar and vector files, the dataset enables energy-efficient communication modeling and adaptive routing optimization. Data preprocessing involves cleaning, normalizing, and handling missing values using interpolation techniques while filtering noisy data through a sliding window averaging method. Feature extraction focuses on hop count, queue length, residual energy, and link expiration time, ensuring consistency and facilitating faster convergence. The hybrid model architecture integrates AOMDV for reliable multipath routing, PEGASIS for energy-efficient communication, and DQN for adaptive path optimization. Simulation results indicate a 15% improvement in throughput, a 10% rise in packet delivery ratio, a 20% reduction in end-to-end delay, and a 30% decrease in average energy consumption. Applications extend to military operations, disaster recovery, vehicular networks, IoT sensor networks, and smart city infrastructure, ensuring efficient and adaptive communication. © 2025 IEEE.

关键词： Vehicular ad hoc networks

来源：评论

学校读者我要写书评

暂无评论

MLP-AMDC: A MLP Architecture for Adaptive-Mask-Based Dual-Camera Snapshot Hyperspectral Imaging 31st

MLP-AMDC: A MLP Architecture for Adaptive-Mask-Based Dual-C...

引用

31st international conference on Multimedia modeling, MMM 2025

作者： Cai, Zeyu Zhang, Can Chen, Yuchong Chen, Xunhao Yang, Jiming Shi, Wubin Da, Feipeng Jin, Chengqian School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of CSE Ministry of Education Nanjing210000 China Agricultural Mechanization Development and Intelligent Information Research Center Nanjing Institute of Argicultural Mechanization Ministry of Agriculture and Rural Affairs Nanjing210000 China

ISBN: (纸本)9789819620609

The coded Aperture Snapshot Spectral Imaging (CASSI) system has great advantages in dynamically acquiring Hyper-Spectral Image (HSI) compared to traditional measurement methods, but there are the following problems. 1) Traditional mask relies on random patterns or analytical design, both of which limit the performance improvement of CASSI. 2) Existing high-quality reconstruction algorithms are slow in reconstruction and can only reconstruct scene information offline. To address the above two problems, this paper introduces an RGB camera with CASSI based on Adaptive-Mask as multimodal input to improve the reconstruction quality. The existing SOTA reconstruction schemes are based on the transformer, but the operation of self-attention pulls down the operation efficiency of the network. To improve the inference speed of the reconstruction network, this paper proposes An MLP Architecture for Adaptive-Mask-based Dual-Camera (MLP-AMDC) to replace the transformer structure of the network. Numerous experiments have shown that MLP performs no less well than transformer-based structures for HSI reconstruction, while MLP greatly improves the network inference speed and has less number of parameters and operations, our method has an 8 dB improvement over SOTA and at least a 5-fold improvement in reconstruction speed. (https://***/caizeyu1992/MLP-AMDC.) © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Hyperspectral imaging

来源：评论

学校读者我要写书评

暂无评论

Research on the Innovation of computer Major Talent Cultivation Models Driven by Generative Artificial Intelligence

Research on the Innovation of Computer Major Talent Cultivat...

引用

Electronics, Energy systems and Power Engineering (EESPE), IEEE international conference on

作者： Liu Lizhi Chang Tan School of Computer Science & Engineering Artificial Intelligence Wuhan Institute of Technology Wuhan Hubei China

ISBN: (数字)9798350389579

ISBN: (纸本)9798350389586

With the development of artificial intelligence technology, the cultivation of computer professionals faces new opportunities and challenges. Traditional training models can no longer meet the industry's demand for talent, making innovation in training models urgent. This paper proposes an innovative training model driven by generative artificial intelligence (GAI), which encompasses facilitating student-centered teaching models, strengthening engineering practice ability, and enhancing innovation awareness. A case study on the rebar counting problem is analyzed to illustrate the application of this new approach. The research findings are summarized to provide beneficial references for computer major talent training in universities.

关键词： Training Technological innovation Ethics Power engineering Generative AI Computational modeling Employment Learning (artificial intelligence) Compounds Faces

来源：评论

学校读者我要写书评

暂无评论

VisioSLR: A Vision Data-Driven Framework for Sign Language Video Recognition and Performance Evaluation on Fine-Tuned YOLO Models 16

VisioSLR: A Vision Data-Driven Framework for Sign Language V...

引用

16th international conference on Ambient systems, Networks and Technologies Networks, ANT 2025 / 8th international conference on Emerging Data and Industry 4.0, EDI40 2025

作者： Ismail, Leila Shahin, Nada Tesfaye, Henok Hennebelle, Alain Lab Department of Computer Science and Software Engineering College of Information Technology United Arab Emirates University United Arab Emirates

With the emergence of AI for good, there has been an increasing interest in building computer vision data-driven deep learning inclusive AI solutions. Sign language Recognition (SLR) has gained attention recently. It is an essential component of a sign-to-text translation system to support the deaf and hard-of-hearing population. This paper presents a computer VISIOn data-driven deep learning framework for Sign Language video Recognition (VisoSLR). VisioSLR provides a precise measurement of translating signs for developing an end-to-end computational translation system. Considering the scarcity of sign language datasets, which hinders the development of an accurate recognition model, we evaluate the performance of our framework by fine-tuning the very well-known YOLO models, which are built from a signs-unrelated collection of images and videos, using a small-sized sign language dataset. Gathering a sign language dataset for signs training would involve an enormous amount of time to collect and annotate videos in different environmental setups and multiple signers, in addition to the training time of a model. Numerical evaluations of VisioSLR show that our framework recognizes signs with a mean average precision of 97.4%, 97.1%, and 95.5% and 11, 12, and 12 milliseconds of recognition time on YOLOv8m, YOLOv9m, and YOLOv11m, respectively. © 2025 Elsevier B.V.. All rights reserved.

关键词： Transfer learning

来源：评论

学校读者我要写书评

暂无评论

13th CCF international conference on Natural Language Processing and Chinese Computing, NLPCC 2024

13th CCF International Conference on Natural Language Proces...

引用

13th CCF international conference on Natural Language Processing and Chinese Computing, NLPCC 2024

ISBN: (纸本)9789819794423

The proceedings contain 194 papers. The special focus in this conference is on Natural Language Processing and Chinese Computing. The topics include: Hierarchical Knowledge Aggregation for Personalized Response Generation in Dialogue systems;multi-hop Reading Comprehension Model Based on Abstract Meaning Representation and Multi-task Joint Learning;Leveraging Large Language Models for QA Dialogue Dataset Construction and Analysis in Public Services;MCFC: A Momentum-Driven Clicked Feature Compressed Pre-trained Language Model for Information Retrieval;integrating Syntax Tree and Graph Neural Network for Conversational Question Answering over Heterogeneous Sources;pqE: Zero-Shot Document Expansion for Dense Retrieval with Large Language Models;CKF: Conditional Knowledge Fusion Method for CommonSense Question Answering;MPPQA: Structure-Aware Extractive Multi-span Question Answering for Procedural Documents;GraphLLM: A General Framework for Multi-hop Question Answering over Knowledge Graphs Using Large Language Models;local or Global Optimization for Dialogue Discourse Parsing;structure and Behavior Dual-Graph Reasoning with Integrated Key-Clue Parsing for Multi-party Dialogue Reading Comprehension;enhancing Emotional Support Conversation with Cognitive Chain-of-Thought Reasoning;a Simple and Effective Span Interaction modeling Method for Enhancing Multiple Span Question Answering;FacGPT: An Effective and Efficient Method for Evaluating Knowledge-Based Visual Question Answering;PAPER: A Persona-Aware Chain-of-Thought Learning Framework for Personalized Dialogue Response Generation;towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models;model-Agnostic Knowledge Distillation Between Heterogeneous Models;exploring Multimodal Information Fusion in Spoken Off-Topic Degree Assessment;integrating Hierarchical Key Information and Semantic Difference Features for Long Text Matching;CausalAPM: Generalizable Literal Disentanglement for NLU

关键词：

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：