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

88,541 篇 会议
1,035 册 图书
872 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

90,448 篇 电子文献
5 种 纸本馆藏

日期分布

学科分类号

29,845 篇 工学
- 19,807 篇 计算机科学与技术...
- 13,576 篇 软件工程
- 5,807 篇 控制科学与工程
- 5,432 篇 电气工程
- 4,711 篇 信息与通信工程
- 3,121 篇 机械工程
- 2,589 篇 电子科学与技术（可...
- 2,428 篇 仪器科学与技术
- 1,366 篇 生物工程
- 1,318 篇 生物医学工程（可授...
- 1,093 篇 动力工程及工程热...
- 1,059 篇 光学工程
- 870 篇 化学工程与技术
- 831 篇 交通运输工程
- 793 篇 材料科学与工程（可...
- 767 篇 安全科学与工程
- 744 篇 建筑学
- 718 篇 土木工程
10,915 篇 理学
- 6,032 篇 数学
- 2,860 篇 物理学
- 2,113 篇 系统科学
- 2,106 篇 统计学（可授理学、...
- 1,553 篇 生物学
- 934 篇 化学
6,400 篇 管理学
- 4,729 篇 管理科学与工程(可...
- 2,109 篇 图书情报与档案管...
- 1,852 篇 工商管理
1,318 篇 医学
- 1,065 篇 临床医学
- 795 篇 基础医学(可授医学...
747 篇 法学
- 673 篇 社会学
553 篇 经济学
479 篇 教育学
328 篇 农学
242 篇 文学
131 篇 军事学
90 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

18,884 篇 computational mo...
6,897 篇 measurement
6,030 篇 computer archite...
4,806 篇 computer science
4,478 篇 accuracy
3,910 篇 predictive model...
3,725 篇 analytical model...
3,607 篇 mathematical mod...
3,532 篇 data models
3,478 篇 real-time system...
3,376 篇 training
3,252 篇 biological syste...
2,826 篇 solid modeling
2,765 篇 feature extracti...
2,637 篇 computer simulat...
2,546 篇 application soft...
2,442 篇 control systems
2,259 篇 object oriented ...
2,099 篇 monitoring
2,012 篇 hardware

机构

70 篇 school of comput...
62 篇 school of comput...
62 篇 chitkara univers...
58 篇 department of el...
52 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
27 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
21 篇 kang li
19 篇 rakesh kumar
19 篇 tao yang
18 篇 li li
17 篇 bin wang
17 篇 marina l. gavril...
17 篇 jun zhang
16 篇 chunyan miao
16 篇 yong meng teo
16 篇 xi chen
16 篇 wang lei

语言

89,478 篇 英文
548 篇 其他
438 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 90452 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：

4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

引用

4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812439

The proceedings contain 105 papers. The special focus in this conference is on Numerical Computations: Theory and Algorithms. The topics include: Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning;extended Optimal Control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep Learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance;a Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global Optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms;an Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation systems;GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal Control of Assets and Liabilities by a Bank;optimal Control for Stochastic Multi-agent systems With the Use of Parallel Hybrid Genetic Algorithm;DC Optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers Through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn

关键词：

来源：评论

学校读者我要写书评

暂无评论

4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

引用

4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812408

关键词：

来源：评论

学校读者我要写书评

暂无评论

4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

4th International Conference on Numerical Computations: Theo...

引用

4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

ISBN: (纸本)9783031812460

关键词：

来源：评论

学校读者我要写书评

暂无评论

Sustainable Drone Surveillance System Using Eternal Vertex Cover and Periodic Charging 17

Sustainable Drone Surveillance System Using Eternal Vertex C...

引用

17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Dhawde, Navya Chakraborty, Nilotpal Husain Baig, Mirza Galib Anwarul Indian Institute of Information Technology Department of Computer Science and Engineering Guwahati India Indian Institute of Technology School of Mathematical and Statistical Sciences Mandi India

ISBN: (纸本)9798331531195

Unmanned aerial vehicles (UAVs), or drones, are transforming surveillance strategies in various fields, including border security and wildlife conservation. Their ability to monitor large, challenging areas in real time has established them as a valuable tool, particularly in scenarios where traditional surveillance methods face operational and logistical limitations. This research focuses on optimizing drone-based surveillance along the international borders, and in wildlife conservation areas, where challenges like illegal crossings, cattle smuggling, and poaching present serious security and economic threats. Leveraging UAVs provides a cost-effective, flexible, and highly deployable solution that overcomes the limitations of static surveillance systems and limited human patrols. We propose an optimized drone-based system designed to enhance operational efficiency, coverage, and adaptability in these complex environments, with potential applications in various sectors requiring comprehensive, real-time surveillance. We propose modeling the problem using the Eternal Vertex Cover problem, a dynamic extension of the classical Vertex Cover problem. Given the NP-hard nature of determining this cover number, our research explores heuristic and algorithmic approaches to achieve an efficient and scalable solution. We also propose an intelligent charging mechanism for the drones for their continuous operation. All proposed approaches are evaluated using randomly generated datasets as long as benchmark datasets. © 2025 IEEE.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Logical Foundations of Smart Contracts 40

Logical Foundations of Smart Contracts

引用

40th international conference on Logic Programming, ICLP 2024

作者： Kalala, Kalonji School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada

Nowadays, sophisticated domains are emerging which require appropriate formalisms to be specified accurately in order to reason about them. One such domain is constituted of smart contracts that have emerged in cyber physical systems as a way of enforcing formal agreements between components of these systems. Smart contracts self-execute to run and share business processes through Blockchain, in decentralized systems, with many different participants. Legal contracts are in many cases complex documents, with a number of exceptions, and many subcontracts. The implementation of smart contracts based on legal contracts is a long and laborious task, that needs to include all actions, procedures, and the effects of actions related to the execution of the contract. An ongoing open problem in this area is to formally account for smart contracts using a uniform and somewhat universal formalism. This thesis proposes logical foundations to smart contracts using the Situation Calculus, a logic for reasoning about actions. Situation Calculus is one of the prominent logic-based artificial intelligence approaches that provides enough logical mechanism to specify and implement dynamic and complex systems such as contracts. Situation Calculus is suitable to show how worlds dynamically change. Smart contracts are going to be implement with Golog (written en Prolog), a Situation Calculus-based programming language for modeling complex and dynamic behaviors. © 2025 Open Publishing Association. All rights reserved.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Research on the Security Assessment Method for Mimetic Multivariate systems Based on Multi-Granularity Features

Research on the Security Assessment Method for Mimetic Multi...

引用

Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Junwei Wang Qinglei Zhou Liming Zhang Shiliang Yu School of Cyber Science and Engineering Zhengzhou University Zhengzhou China Songshan Laboratory Zhengzhou China School of Computer Science and Artificial Intelligence Zhengzhou University Zhengzhou China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

Aiming at the current status quo that the security assessment of mimetic multivariate systems generally adopts a single level of assessment, which is unable to establish a security link between its internal software diversity and the overall security of mimetic multivariate systems, this paper proposes an assessment mechanism that combines two assessment methods, namely, software diversity metrics under multi-granularity characterization and risk assessment of vulnerability attacking system modeling. The experimental part of the dataset uses the GNU core toolset (coreutils 8.32), and the validity of this assessment method is verified by designing a security assessment algorithm that weights and scores the heterogeneity of the multi-granularity software diversity technique, and then by modeling an attack on the mimetic multi-variant system experiment. The experimental results show that the security assessment algorithm can effectively assess the anti-attack ability and security of the mimetic multivariate system under the multi-granularity feature, which has certain reference value for the future research on the security assessment method of the mimetic multivariate system.

关键词： measurement Software algorithms systems modeling Diversity methods Software Security Risk management computer security Consumer electronics

来源：评论

学校读者我要写书评

暂无评论

Applying choice preference to passenger flow guidance for urban rail transit under emergencies 4

Applying choice preference to passenger flow guidance for ur...

引用

2024 4th international conference on Intelligent Traffic systems and Smart City, ITSSC 2024

作者： Xu, Ran Xiao, Hongbing School of Computer and Artificial Intelligence Beijing Technology and Business University Beijing China

ISBN: (纸本)9781510686304

Under emergencies, reasonably guiding passenger flow can improve the transportation efficiency and minimize the impact of the accident on urban traffic operation. First of all, based on the psychological theory and the relevant information such as the choice preference of passengers, the passengers are classified to get the sensitivity difference of different potential mode passengers on the scheme attributes, which provides data support for path selection modeling and optimization. Secondly, the model with time index is established by using the data of the train and the passengers, and the model with comfort index is constructed by using the cubic polynomial fitting method. According to the utility maximization problem theory, the objective function including time and comfort index is constructed to provide the optimal path for different types of passengers. Finally, a case study of partial rail transit lines in Beijing is presented. The results show that, in the case of emergency, by analyzing the behavior preference of passenger's path selection, the passengers can be classified, and a more suitable route can be provided for each type of passengers, which can improve the time utilization ratio, and passengers' perception of the train's comfort. © 2025 SPIE.

关键词： Urban transportation

来源：评论

学校读者我要写书评

暂无评论

PathDisGene: Discovering Informative Gene Groups for Disease Diagnosis Using Pathway-Disease Associations and a Grouping, Scoring, modeling-Based Machine Learning Approach

PathDisGene: Discovering Informative Gene Groups for Disease...

引用

18th international Joint conference on Biomedical Engineering systems and Technologies, BIOSTEC 2025

作者： Qumsiyeh, Emma Bakir-Gungo, Burcu Yousef, Malik Faculty of Engineering and Information Technology Palestine Ahliya University Bethlehem Palestine Department of Computer Engineering Faculty of Engineering Abdullah Gul University Kayseri Turkey

Recently, machine learning and various feature selection techniques have become popular for understanding the relationship between genes, molecular pathways, and diseases. Integrating existing domain knowledge into biological data analysis has demonstrated considerable potential for finding new biomarkers with translational uses. This paper presents PathDisGene, an innovative machine-learning tool that integrates existing domain knowledge by utilizing a Grouping-Scoring-modeling (G-S-M) approach to discover associations among gene-pathway-disease. The first step in PathDisGene is the grouping component that associates genes according to their biological associations with diseases and pathways. This component uses the Comparative Toxicogenomics Database (CTD). Subsequently, the scoring component is applied to score each group and the highest-ranked groupings are then used to train the classifier. We test PathDisGene on ten GEO datasets and demonstrate its performance, where most of them are with high accuracy, sensitivity, specificity, and AUC values across various diseases. The tool's capacity to recognize new pathway-disease associations and uncover connections between pathways and diseases along their associated genes underscores its potential as a significant asset in promoting precision medicine and systems biology. © 2025 by SCITEPRESS– Science and Technology Publications, Lda.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Precision Forecasting of Stock Prices: Leveraging XGBoost and Technical Indicator for Advanced Predictive modeling 1

Precision Forecasting of Stock Prices: Leveraging XGBoost an...

引用

1st international conference on Intelligent systems and Computational Networks, ICISCN 2025

作者： Yuvaraj, S. Chenni Kumaran, J. Vinston Raja, R. Saveetha University Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Chennai India Srm Institute of Science and Technology Faculty of Engineering and Technology School of Computing Department of Computational Intelligence Kattankulathur Chennai India

ISBN: (数字)9798331529246

ISBN: (纸本)9798331529246

The investigation aims to evaluate the performance of machine learning techniques, particularly the XGBoost regression method, for stock price prediction with the help of technical indicators. The research targets the adjusted closing price to reduce the autocorrelation problem in time series. The Five Days and Ten Days Exponential Moving Averages (EMA-5 and EMA-10) are involved in refining feature selection. The performance of the model was evaluated using different error metrics, namely, Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Coefficient of Determination (R2). The results indicate that the XGBoost model, combined with EMA-5 and EMA-10, achieves high predictive performance, obtaining an r2 value of 0.98. It implies that incorporating short-term EMAs into advanced machine learning techniques drastically improves stock price forecasting. © 2025 IEEE.

关键词： Time series

来源：评论

学校读者我要写书评

暂无评论

Mask-guided Multi-scale Spatial-Spectral Transformer for Snapshot Compressive Imaging

Mask-guided Multi-scale Spatial-Spectral Transformer for Sna...

引用

2025 IEEE international conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Yin, Heyuan Yang, Jingxiang Liu, Jia Xiao, Liang School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210094 China Key Laboratory of Analysis of Mathematical Theory and Modeling of Complex Systems Ministry of Industry and Information Technology China

ISBN: (纸本)9798350368741

Effectively reconstructing 3D hyperspectral images (HSIs) from 2D measurements presents a significant challenge in Coded Aperture Snapshot Spectral Imaging (CASSI) systems. While recent transformers exhibit potential in HSI reconstruction, they often suffer from inadequate exploration of multi-scale spatial-spectral self-similarity, leading to mean effects and information loss. Additionally, these methods struggle with insufficient modeling of the degradation inherent in the compressive imaging process. To address these issues, we propose a novel Mask-guided Multi-scale Spatial-Spectral Transformer (MMSST). Specifically, we introduce a Degradation Aware Mask Attention (DAMA) module to incorporate degradation information of the compressive imaging process. Furthermore, MMSST leverages Local-Regional SpAtial attention (LRSA) and Global-Regional SpEctral attention (GRSE) to effectively exploit multi-scale self-similarity across spatial and spectral dimensions. Extensive experimental results demonstrate the effectiveness of our MMSST. © 2025 IEEE.

关键词： hyperspectral reconstruction Snapshot Compressive Imaging spatial-spectral transformer

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：