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

11,821 篇 会议
820 篇 期刊文献

馆藏范围

12,641 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,121 篇 工学
- 1,089 篇 电气工程
- 1,087 篇 计算机科学与技术...
- 470 篇 软件工程
- 399 篇 信息与通信工程
- 296 篇 控制科学与工程
- 135 篇 电子科学与技术（可...
- 103 篇 仪器科学与技术
- 91 篇 机械工程
- 46 篇 生物医学工程（可授...
- 42 篇 网络空间安全
- 40 篇 交通运输工程
- 39 篇 航空宇航科学与技...
- 29 篇 材料科学与工程（可...
- 21 篇 测绘科学与技术
- 18 篇 核科学与技术
- 14 篇 动力工程及工程热...
- 14 篇 石油与天然气工程
- 14 篇 生物工程
- 12 篇 土木工程
- 12 篇 安全科学与工程
191 篇 理学
- 66 篇 物理学
- 57 篇 系统科学
- 39 篇 数学
- 17 篇 生物学
148 篇 管理学
- 142 篇 管理科学与工程(可...
- 15 篇 图书情报与档案管...
48 篇 医学
- 33 篇 临床医学
33 篇 文学
- 32 篇 新闻传播学
23 篇 教育学
- 23 篇 教育学
16 篇 农学
- 11 篇 作物学
11 篇 军事学
7 篇 艺术学
5 篇 经济学
1 篇 法学

主题

12,641 篇 software algorit...
3,789 篇 software
1,970 篇 algorithm design...
1,802 篇 hardware
832 篇 computer archite...
819 篇 heuristic algori...
771 篇 application soft...
729 篇 software enginee...
650 篇 computer science
615 篇 software systems
581 篇 computational mo...
567 篇 prediction algor...
561 篇 optimization
523 篇 clustering algor...
484 篇 testing
439 篇 accuracy
422 篇 signal processin...
377 篇 costs
354 篇 machine learning...
325 篇 real-time system...

机构

18 篇 moscow technical...
15 篇 tsinghua univers...
14 篇 school of softwa...
14 篇 lviv polytechnic...
13 篇 university of ch...
13 篇 state key labora...
13 篇 state key labora...
11 篇 york university ...
11 篇 jet propulsion l...
9 篇 software school ...
9 篇 department of co...
9 篇 state key labora...
9 篇 school of comput...
9 篇 nanjing univ sta...
8 篇 school of comput...
8 篇 school of electr...
8 篇 novosibirsk stat...
8 篇 software college...
8 篇 national univers...
8 篇 school of cyber ...

作者

12 篇 ling chen
11 篇 david lo
11 篇 hui li
10 篇 wei liu
10 篇 kun wang
9 篇 li li
9 篇 gang wang
9 篇 yang yang
9 篇 jack dongarra
8 篇 rui wang
8 篇 jian wang
8 篇 jun wang
8 篇 yue liu
8 篇 w. wolf
8 篇 qingshan jiang
8 篇 thambipillai sri...
8 篇 m.n.s. swamy
7 篇 giuseppe scannie...
7 篇 t. dohi
7 篇 jinfu chen

语言

12,559 篇 英文
52 篇 其他
28 篇 中文
1 篇 葡萄牙文

检索条件"主题词=software algorithms"

共 12641 条记录，以下是1431-1440 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：

Optimal Allocation of Distributed Generation and Electric Vehicles Charging Stations in A Part of The Egyptian Electrical Network Using Manta Ray Foraging Optimization

Optimal Allocation of Distributed Generation and Electric Ve...

引用

International Middle-East Power System Conference, MEPCON

作者： Zenhom M. Zenhom Tarek A. Boghdady Essam Aboul Zahab Shady H. E. Abdel Aleem Electric Engineering Department Ahram Canadian University Giza Egypt Electric Engineering Department Cairo University Giza Egypt Electric Engineering Department Institute of Aviation Engineering and Technology Giza Egypt

ISBN: (数字)9798350379648

ISBN: (纸本)9798350379655

Fossil fuels are burned in conventional transportation vehicles, which release greenhouse gases into the atmosphere. The expanding population requires the quick creation of an alternative way of transportation. Since they emit less pollutants into the environment, Electric Vehicles (EVs) will be the foundation of transportation systems of the future. On the other hand, it is impossible to overlook the negative effects of EV charging station demands on the Distribution Network (DN). This paper introduces a suggested approach to determine the optimal allocation of Electric Vehicles Charging Stations (EVCS) and Distributed Generation (DG) units simultaneously to minimize total losses and voltage deviation and maximize Electric Vehicles Hosting Capacity (EV-HC). However, a constant load type is assumed in most DG and EVCS allocation studies, three different time-varying load models are considered in this work to evaluate the proposed technique robustness. When compared to other optimization techniques, the Manta Ray Foraging Optimization (MRFO) algorithm shows better performance in solving the optimization problem. MatLab software is utilized to simulate and test the suggested method on a real 59-bus DN in Cairo.

关键词： Uncertainty software algorithms Transportation Voltage Charging stations Robustness Distributed power generation Resource management Optimization Load modeling

来源：评论

学校读者我要写书评

暂无评论

Advancing Vascular Dementia Diagnosis Through Salp Swarm Optimized Convolutional Neural Network

Advancing Vascular Dementia Diagnosis Through Salp Swarm Opt...

引用

International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

作者： Nivedita Manohara Mathkunti U Ananthanagu Vidya N Abdulpur D. Mangaiyarkarasi Anitha S Department of Computer Science & Engineering Alliance School of Advanced Computing Alliance Univerisity Bengaluru Karnataka India Department of Electrical Engineering Dr.D.Y Patil Pratishthan's College of Engineering Kolhapur Maharastra India Computer Science & Engineering Vel Tech Rangarajan Dr.Sangunthala R&D Institute of Science and Technology Avadi India Department of Artificial Intelligence & Machine Learning Sri Sairam College of Engineering Anekal (VTU) Bengaluru Karnataka India

ISBN: (数字)9798331505462

ISBN: (纸本)9798331505479

Vascular Dementia (VD) is a form of cognitive impairment seen in individuals, restricting from problems with blood vessels supplying the brain. These issues lead to strokes or reduced blood flow and gradually lead to the development of vascular dementia. Since it tends to progress slowly, diagnosis often comes after significant brain damage making prevention is crucial. Early identification of risk factors are vital to mitigate the risk of irreversible cognitive decline associated with vascular dementia. Accordingly, this research proposes an optimized neural network model for predicting vascular dementia at its earlier to improve the quality of life. The initial stage in this research involves preprocessing, where the input data is cleaned and normalized. These steps ensure that the vascular dementia dataset is cleaned of inconsistencies and prepared with normalized features for accurate analysis and modeling. Following preprocessing, relevant data features are selected using the chi-square approach, making the classification task easier. Finally, classification is performed utilizing a Convolutional Neural Network (CNN) and for fine-tuning of CNN parameters Salp Swarm Optimization (SSO) Algorithm is implemented. The execution of proposed work is processed using Python software and the outcome reveals superior performance in terms of accuracy and precision. Thereby the proposed method provides better performance with an accuracy of 94.5%, contrasted to existing methods in predicting VD.

关键词： Accuracy software algorithms Data preprocessing Predictive models software Classification algorithms Convolutional neural networks Biological neural networks Dementia Python

来源：评论

学校读者我要写书评

暂无评论

SecureML: Machine Learning-Powered Malware Detection

SecureML: Machine Learning-Powered Malware Detection

引用

International Conference on Advances in Information Technology (ICAIT)

作者： Animay Awasthi Mohd Ahsan Vanusha D Delsi Robinsha S Department of ComputingTechnologies School of Computing SRM Institute of Science and Technology Kattankulathur Tamilnadu India Department of Computing Technologies Faculty of Engineering and Technology School of Computing SRM Institute of Science and Technology Kattankulathur Tamilnadu India

ISBN: (数字)9798350383867

ISBN: (纸本)9798350383874

As malware threats become increasingly complex, the development of advanced detection systems is necessary to protect digital assets. SecureML Using Machine Learning presents an innovative approach to combat the escalating threat of malicious software by leveraging machine learning algorithms. This research paper outlines the design, implementation, and evaluation of SecureML, emphasizing its effectiveness in detecting both known and novel malware strains. Through comprehensive feature selection techniques and algorithmic comparison, SecureML identifies crucial features and selects the Random Forest algorithm as the most effective for malware detection, achieving an impressive accuracy rate of 99.40% on the test set. The system's low false positive and false negative rates validate its robustness and reliability in accurately distinguishing between benign and malicious files. SecureML demonstrates significant potential in bolstering cybersecurity defenses and safeguarding digital assets against evolving malware threats.

关键词： Resistance Machine learning algorithms Accuracy software algorithms Feature extraction Malware Robustness

来源：评论

学校读者我要写书评

暂无评论

Analysis and Evaluation of an Off-Grid Mini-Grid PV System for Rural Electrification

Analysis and Evaluation of an Off-Grid Mini-Grid PV System f...

引用

Advanced Power Engineering and Energy (APEE), IEEE International Conference on

作者： Nnaemeka Genesis Ajah Chibuike Nicholas Ugwu Candidus Eya Ikenna Onyegbadue Emenike Chinedozi Ejiogu Chimaobi Ikenna Ndukwu Department of Electrical Engineering Africa Centre of Excellence in Sustainable Power and Energy Development (ACE-SPED) University of Nigeria Nsukka Enugu Nigeria Department of Electrical Engineering University of Nigeria Nsukka Enugu Nigeria Department of Electrical and Computer Engineering Igbinedion University Okada Edo Nigeria

ISBN: (数字)9798350360936

ISBN: (纸本)9798350360943

In recent years, there has been a growing interest in using renewable energy sources to electrify rural areas in Nigeria. The major motivation for this study is the recognition of the huge potential of renewable energy to improve rural electricity access in the country. One promising option is to use off-grid photovoltaic (PV) mini grid systems. These systems are small, modular, and can be easily installed in remote areas. However, some studies have shown that these systems are posed with certain problems such as its inability to carry loads for prolonged periods of time when the sun is out. This work investigates the feasibility of an optimized off-grid PV mini grid system for electrification of rural areas in Nigeria. The paper made use of the HOMER pro, SAM and MATLAB software. The HOMER pro software was to design a proposed mini grid for a case community in the northern part of Nigeria. The results of the HOMER pro simulations showed that the system generated high NPC and low LCOE. The proposed system for the northern generated an NPC of $\mathrm{N}\!\!\!\!\!\!{=}$ 380,498,512 and an LCOE of 37.01 $\mathrm{N}\!\!\!\!\!\!{=}$ /kWh. The results of the SAM software showed that the PV array of the proposed models was able to generate sufficient electricity for the community. The results of the MATLAB software showed that a short-term load forecasting carried out using the ANN Levenburg-Marquardt algorithm gave results more accurately for the short-term load demand of the community. This exchange rate at the time of this work was $\mathrm{N}\!\!\!\!\!\!{=}$ 769.5 to $1.

关键词： Renewable energy sources Costs Electricity software algorithms Electrification software MATLAB Sun Standards Power engineering and energy

来源：评论

学校读者我要写书评

暂无评论

Research on Multivariable Coordinated Predictive Control Algorithm Based on Air Conditioning Controller

Research on Multivariable Coordinated Predictive Control Alg...

引用

Data Science and Computer Application (ICDSCA), IEEE International Conference on

作者： Yong Xu Manping Qin Choon Kit Chan School of Artificial Intelligence and Smart Manufacturing Hechi University Hechi China Faculty of Engineering and Quantity Surveying INTI International University Nilai Negeri Sembilan Malaysia

ISBN: (数字)9798350368239

ISBN: (纸本)9798350368246

In view of the significant hysteresis, nonlinearity, and time-varying characteristics of traditional air-conditioning systems, intelligent air-conditioning systems are evolving towards enhanced controllability, multifunctionality, and reduced power consumption. This paper proposes a multivariable coordinated predictive control algorithm applied to air-conditioning controller systems. The algorithm's principles are analyzed by examining input variables and set temperatures, such as temperature, humidity, electrical parameters of air conditioning operation, flammable gas concentration in the environment, ionic smoke detection status, and personnel mobility. Output variables such as humidity and its deviation are also analyzed, and the design steps of the multivariable coordinated predictive control algorithm applied to the PC server software of the air-conditioning system are presented. Finally, a comparative test of temperature and humidity control was conducted on a single Midea air conditioner. The results indicate that the multivariable coordinated predictive control algorithm is well-suited for air-conditioning control systems, particularly in the most economical temperature control mode. Compared to the system's performance before the algorithm's implementation, the control is optimized, resulting in a 19.4% energy saving.

关键词： Air conditioning Temperature System performance software algorithms Humidity Prediction algorithms software Temperature control Servers Predictive control

来源：评论

学校读者我要写书评

暂无评论

Efficient Arm Motion Planning with Reduced Viapoints for Mars Rover Operations

Efficient Arm Motion Planning with Reduced Viapoints for Mar...

引用

Space Robotics (iSpaRo), International Conference on

作者： Justin Huang Valen Yamamoto Ana Warner Jet Propulsion Laboratory California Institute of Technology Pasadena CA Department of Electrical Engineering and Computer Science UC Irvine Irvine CA Department of Robotics University of Michigan Ann Arbor MI

ISBN: (数字)9798350367232

ISBN: (纸本)9798350367249

This paper describes additions and enhancements we made to the standard RRT-Connect motion planning algorithm to suit the unique needs of operating the robotic arm on the Perseverance Mars Rover. One constraint we have is to maintain a minimum distance between the terrain and any part of the arm hardware. Another goal specific to rover planning is to minimize the number of viapoints in our motion plans. These algorithms should also run efficiently so that rover planners can generate arm motion sequences in time for uplink windows. We applied the RRT-Connect algorithm to the rover’s robotic arm and tested its performance, and we found that it could be used successfully for rover planning with a few changes. First, we implemented the terrain clearance requirement using a software tool called Proximeter. Second, we simplify the paths computed by RRT-Connect to minimize the number of viapoints in a motion plan. Third, we leverage Proximeter to reduce the number of expensive terrain collision checks done by the algorithm, speeding up motion planning.

关键词： Space vehicles Mars Costs software algorithms Manipulators Hardware Planning

来源：评论

学校读者我要写书评

暂无评论

Enactment of Deep Reinforcement Learning Agent for Duty Ratio Control of Dual Active Bridge Converter

Enactment of Deep Reinforcement Learning Agent for Duty Rati...

引用

Industrial Electronics: Developments & Applications (ICIDeA), IEEE International Conference on-

作者： Stutee Patra Aditi Chatterjee Department of Electrical Engineering C.V. Raman Global University Bhubaneswar India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

This paper presents a deep reinforcement learning (DRL) agent for duty ratio control of the dual active bridge (DAB) converter using triple phase shift (TPS) modulation. The operation of a dual active bridge under the TPS modulation technique was briefly discussed, stating its advantage over the other phase shift techniques, thus creating the requirement of a model-free control approach for the converter. The reinforcement learning method has evolved as the deep reinforcement learning method that can solve complex problems with rising computational accuracy. This paper focuses on a deep deterministic policy gradient (DDPG) agent founded on actor-critic policy, i.e. implemented as the DRL controller. A detailed discussion about the control strategy using the DRL controller was presented. The model was simulated using MATLAB/Simulink software version 2024b to verify the voltage regulation of the dual active bridge using the DDPG agent. Finally, the conclusion presents the advantages of using a DRL controller for the TPS modulation of the DAB converter.

关键词： Training Accuracy Phase modulation Computational modeling software algorithms Bridge circuits Deep reinforcement learning software Mathematical models MATLAB

来源：评论

学校读者我要写书评

暂无评论

Improving the Efficiency of Adaptive Operation of the Decameter Communication Line

Improving the Efficiency of Adaptive Operation of the Decame...

引用

Systems of Signals Generating and Processing in the Field of on Board Communications

作者： Aleksey Rybakov Grigoriy Fokin Software Defined Radio Laboratory The Bonch-Bruevich Saint Petersburg State University of Telecommunications Saint Petersburg Russia

ISBN: (数字)9798331532635

ISBN: (纸本)9798331532642

Increasing the noise immunity of a digital radio communication system (decameter communication line) through the use of software equalizers is a modern and relevant topic for the development of adaptation algorithms and mechanisms for using signal-code sequences for such a radio link. It is necessary to provide fundamentally new solutions for the task of creating ionospheric radio communication lines. A critical condition for each of these options is the effect of the Doppler shift. The study highlights the importance of adaptive technologies to ensure stable and reliable communications in a volatile and heterogeneous distribution environment. The proposed method of reducing the effect of Doppler shift by using a channel equalizer contains new ideas about using the variability of the signal preamble to adjust the receiver. Contribution. The simulation results showed that the use of equalizers significantly increases noise immunity, reducing the required signal-to-noise ratio (SNR) at a given level of bit errors (BER) by 10 −3 .

关键词： Doppler shift Equalizers Simulation Bit error rate software algorithms Receivers Radio links software Reliability Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

YOLOv5-Based Image Processing for Pineapple Rind Defect Detection

YOLOv5-Based Image Processing for Pineapple Rind Defect Dete...

引用

IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

作者： Joseph Kenneth G. Manzano Joel Aldrin P. Ea Meo Vincent C. Caya School of Electrical Electronics and Computer Engineering Mapua University Manila Philippines

ISBN: (数字)9798350389692

ISBN: (纸本)9798350389708

This study implemented YOLOv5 (You Only Look Once) as its algorithm to detect pineapple rind defects using known image processing techniques such as preprocessing and augmentation. Python language was used to integrate the YOLOv5 algorithm, and a Graphical User Interface (GUI) was designed to allow the system to communicate with the user. Using the 5MP OV5647 Camera, the software can process source inputs such as image capture and video. The dataset contents follow, where 70% of training data (350) images, 20% of valid (100) images, and 10% of testing (50) images have been used to create the dataset. Additionally, the dataset had undergone preprocessing and augmentation to maximize the convergence rate of the model. As the system has been implemented and tested throughout the 40 images of pineapples that overall contain 20 rind defects and 20 with no rind defects, the trained model can identify pineapple rind defects at a default confidence threshold of 0.60. With that, the proponents obtained an accuracy score of 88.10 % , which can be considered an ideal and capable model for capturing and detecting pineapple rind defects.

关键词： YOLO software algorithms Training data Image capture software Graphical user interfaces Testing Python Defect detection Convergence

来源：评论

学校读者我要写书评

暂无评论

Combined Effort Estimation Framework for Heterogeneous Projects Using Machine Learning: A Comparative Analysis

Combined Effort Estimation Framework for Heterogeneous Proje...

引用

Next Generation Communication & Information Processing (INCIP), International Conference on

作者： Amrita Sharma Neha Chaudhary Anand Sharma Department of Computer Science Indus University Ahmedabad India Computer Science & Engineering Manipal University Jaipur India Cyber Resilience Eventus Security Ahmedabad India

ISBN: (数字)9798331528140

ISBN: (纸本)9798331528157

The essential role of software development effort estimation is to predict the required work to develop software. The three main types of cost estimation approaches are algorithmic models, non-algorithmic models, and machine learning models. Algorithmic models use statistical or analytical formulae to estimate. Machine learning approaches are used with algorithmic or non-algorithmic models to increase accuracy. Other techniques include regression analysis, fuzzy logic, artificial neural networks, and others soft computing, meta-heuristic algorithms, and search-based algorithms. This paper present a combined framework developed for the effort estimation for diversifying projects. The combined framework uses the databases that include the projects from procedural, agile, and object-oriented approaches. A comparison is presented for the different projects using the single model as well as with the combined models. The combined models are developed for the projects with single feature and multiple features that are selected with the correlation.

关键词： Machine learning algorithms Costs Accuracy Object oriented modeling Computational modeling software algorithms Estimation Machine learning Prediction algorithms software

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 << < 140 141 142 143 144 145 146 147 148 149 > >>

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：