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

5,448 篇 会议
1,033 篇 期刊文献
97 册 图书

馆藏范围

6,578 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

4,078 篇 工学
- 2,728 篇 计算机科学与技术...
- 2,300 篇 软件工程
- 952 篇 信息与通信工程
- 761 篇 控制科学与工程
- 586 篇 电气工程
- 552 篇 电子科学与技术（可...
- 351 篇 生物工程
- 274 篇 生物医学工程（可授...
- 273 篇 机械工程
- 249 篇 光学工程
- 238 篇 动力工程及工程热...
- 190 篇 仪器科学与技术
- 165 篇 化学工程与技术
- 144 篇 安全科学与工程
- 137 篇 交通运输工程
- 123 篇 建筑学
- 119 篇 材料科学与工程（可...
2,007 篇 理学
- 1,150 篇 数学
- 479 篇 物理学
- 385 篇 生物学
- 345 篇 统计学（可授理学、...
- 317 篇 系统科学
- 157 篇 化学
984 篇 管理学
- 631 篇 管理科学与工程(可...
- 410 篇 图书情报与档案管...
- 389 篇 工商管理
219 篇 医学
- 198 篇 临床医学
- 184 篇 基础医学(可授医学...
185 篇 法学
- 148 篇 社会学
138 篇 经济学
- 137 篇 应用经济学
111 篇 教育学
64 篇 农学
17 篇 文学
17 篇 军事学
6 篇 艺术学

主题

138 篇 accuracy
123 篇 computational mo...
114 篇 machine learning
110 篇 feature extracti...
106 篇 software
106 篇 training
93 篇 software enginee...
91 篇 optimization
85 篇 predictive model...
84 篇 artificial intel...
82 篇 deep learning
75 篇 real-time system...
72 篇 data models
68 篇 computer science
68 篇 computer archite...
62 篇 data mining
62 篇 mathematical mod...
61 篇 monitoring
60 篇 internet of thin...
58 篇 robustness

机构

56 篇 dept. of systems...
32 篇 dept. of systems...
23 篇 optical sciences...
20 篇 dept. of electri...
19 篇 faculty of compu...
19 篇 gik institute of...
19 篇 university of eu...
19 篇 dept. of technol...
16 篇 dept. of electri...
15 篇 dept. of softwar...
15 篇 dept. of compute...
14 篇 dept. of electri...
14 篇 dept. of compute...
14 篇 dept. of electri...
13 篇 dept. of systems...
12 篇 dept. of softwar...
12 篇 networking and i...
12 篇 ieee
12 篇 bcmaterials basq...
12 篇 dept. of compute...

作者

35 篇 wainer gabriel
21 篇 ali raja hashim
20 篇 tan mengxi
20 篇 moss david j.
19 篇 xu xingyuan
18 篇 gabriel wainer
18 篇 usama arshad
18 篇 ku wei-shinn
18 篇 arshad usama
16 篇 zain ul abideen
15 篇 yangquan chen
14 篇 baldwin timothy
13 篇 shabtai asaf
13 篇 ali zeeshan ijaz
13 篇 xi zhang
12 篇 reiner lisa
12 篇 hyunseung choo
12 篇 sakamoto makoto
12 篇 min dong
12 篇 nisar ali

语言

6,278 篇 英文
223 篇 其他
58 篇 中文
9 篇 朝鲜文
8 篇 日文
1 篇 德文
1 篇 俄文

检索条件"机构=Dept. of Computer Systems and Software Engineering"

共 6578 条记录，以下是811-820 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：

Utilizing Deep Neural Networks to Improve Intrusion Detection System(IDS)

Utilizing Deep Neural Networks to Improve Intrusion Detectio...

引用

Telecommunications Conference (ITC-Egypt), International

作者： Ahmed Mahmoud Saad Mohammed Awad Meekay Mostafa Samy El Sayed Mansour Electronics and Computer and Systems Engineering Dept. Mansoura University Cairo Egypt Mansour Electronics and Communications Dept. Mansoura University Cairo Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

Internet services are now accessible everywhere in the world due to the rapid advancement of networks and technology in recent decades. The development of information security solutions that can recognize novel threats is now critical due to the surge in piracy and the compromising of many modern systems. An intrusion detection system (IDS) is one of the most important information security technologies. It uses machine learning and deep learning algorithms to locate anomalies in the network. The main goal of this paper is to identify the unknown assault package by utilizing a novel intrusion detection method that offers excellent network performance. In this model, two techniques-binary classification and multiclass classification-that make use of a deep neural network algorithm are used to detect attacks. The suggested's outstanding accuracy

关键词： Deep learning Machine learning algorithms Accuracy Web and internet services Supervised learning Intrusion detection Artificial neural networks

来源：评论

学校读者我要写书评

暂无评论

Multispectral Image Segmentation in Agriculture: Evaluating Deep Learning Models with Train-Test Split and Cross-Validation Strategies

Multispectral Image Segmentation in Agriculture: Evaluating ...

引用

Iberian Robotics Conference (ROBOT)

作者： Wilgo Cardoso Tiago Barros Gil Gonçalves Cristiano Premebida Urbano J. Nunes Department of Electrical and Computer Engineering Institute of Systems and Robotics University of Coimbra Portugal Dept. of Mathematics Institute for Systems Engineering and Computers at Coimbra University of Coimbra Portugal

ISBN: (数字)9798350376364

ISBN: (纸本)9798350376371

In agricultural robotics, the integration of multi-spectral image processing and deep learning (DL) has become the state-of-the-art (SOTA) in crop monitoring, yield estimation, and efficient land management. This work addresses the impact of different DL-segmentation models and evaluation protocols on multispectral imagery datasets collected by a UAV over vineyards. In terms of evaluation protocols, we have considered train-test split, standard k-fold cross-validation, and group k-fold cross-validation. While the first two assume that the training and test data are drawn from the same underlying distribution, the group k-fold cross-validation protocol assumes that each fold represents distinct distributions. Most works either adopt train-test split or k-fold cross-validation under the assumption that both the training and test sets are drawn from the same distribution. However, this assumption is rarely met in real-world applications. Therefore, the objective of this study is to evaluate and compare different evaluation protocols within the context of a real-world agricultural task, highlighting their limitations and weaknesses. Two SOTA DL-based segmentation models, SegNet and DeepLabV3, are employed to perform semantic segmentation on datasets of three Vineyards. The models have been trained and tested considering single-modality representations. In addition to the RGB modality, models trained on NDVI, GNDVI and early fusion are also evaluated. The performance of the models are evaluated using the IoU metric across different dataset configurations. The results indicate that the early fusion representation achieves the highest performance across the various splitting protocols, compared to the single-input representations. The results also show that the train-test and random k-fold splitting approaches report similar results. However, when employing group k-fold the performance drops consistently across both models and the modalities. This indicates that the models

关键词： Deep learning Training Precision agriculture Measurement Protocols Data models Yield estimation Robots Monitoring Standards

来源：评论

学校读者我要写书评

暂无评论

Exercise and Sedentary Activity Recognition Using Late Fusion: Building Adaptable Uncertain Models

Exercise and Sedentary Activity Recognition Using Late Fusio...

引用

International Conference on Information Fusion

作者： Ezequiel Juarez Garcia Victoria R. Rodrigues Mehrdad Fazli Laura E. Barnes Nicholas J. Napoli Dept. of Electrical and Computer Engineering University of Florida Gainesville FL Dept. of Systems and Information Engineering University of Virginia Charlottesville VA

Wearable smart devices are capable of capturing a variety of information from their users using a multitude of noninvasive sensing modalities. Using features from the raw measurements of wearable devices, sensor fusion enables us to obtain a holistic picture of the users’ context and monitor their activity state with increased accuracy. Human activity recognition using noninvasive sensors allows us to capture the natural behavior of users in their day-to-day lives. This in-the-wild activity recognition, however, poses several key challenges that must be addressed to create effective classification models. The main challenges are class imbalance, uncertainty in classifier decisions, and large feature spaces. To address them, this study further explores a probabilistic sensor fusion method called Naive Adaptive Probabilistic Sensor (NAPS) Fusion. In doing so, we establish the viability of NAPS Fusion for natural human activity recognition using noninvasive sensing modalities. NAPS Fusion handles dimensionality reduction by creating reduced feature sets and mitigates the class imbalance issue through the use of Synthetic Minority Oversampling Technique (SMOTE). Moreover, NAPS Fusion addresses uncertainty in the decisions of classifiers using a Dempster-Shafer theoretic late fusion framework. Our empirical evaluation demonstrates that NAPS Fusion has broad applications beyond its original design for cognitive state detection. It outperforms similar decision level sensor fusion methods (late fusion using averaging, LFA, and late fusion using learned weights, LFL) in the detection of exercise and sedentary activities such as walking, running, lying down, and sitting. We observe improvements of up to 56% in F1 score and up to 59% in precision with NAPS Fusion over the compared methods.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimizing Driver Identification Using Adaboost and Vehicular Telemetric Data Analysis

Optimizing Driver Identification Using Adaboost and Vehicula...

引用

International Conference on Emerging Technologies, ICET

作者： Ahmad Mustafa Khurram Shehzad Khattak Zawar Hussain Khan Dept. of Computer Systems Engineering UET Peshawar Peshawar Pakistan Electrical Engineering Department University of Hail Hail Saudi Arabia

ISBN: (数字)9798350379587

ISBN: (纸本)9798350379594

In Intelligent Transportation systems (ITS), Artificial Intelligence (AI) has transformed transportation network management. This paper explores driver identification using machine learning to enhance vehicle security and efficiency. AI applications in ITS enable real-time data processing, predictive maintenance, and better traffic management, promoting a safer and more efficient ecosystem. Driver identification, or finger-printing, utilizes machine learning to identify drivers based on their unique driving behaviors, helping prevent unauthorized vehicle use, reducing theft, ensuring regulatory compliance, and optimizing resource allocation. Our research employs the AdaBoost algorithm, leveraging OBD- II data such as vehicle speed, RPM, coolant temperature, torque, accelerometer, and GPS for accurate driver identification with an accuracy of 96%. This approach capitalizes on AdaBoost's real-time processing capability, enhancing prediction accuracy, reducing overfitting, and improving generalization to new data. The results highlight the significant potential of AI -driven methods to advance ITS capabilities.

关键词： Adaptation models Accuracy Torque Biological system modeling Machine learning Real-time systems Security Resource management Driver behavior Vehicles

来源：评论

学校读者我要写书评

暂无评论

Comparison of Whole Blood Coagulation Profiles in COVID-19 and Sepsis Patients Using a Handheld Dielectric Coagulometer

Comparison of Whole Blood Coagulation Profiles in COVID-19 a...

引用

2023 IEEE Biomedical Circuits and systems Conference, BioCAS 2023

作者： Pourang, Sina Suster, Michael A. Thomas, Asha Lapping, Stephanie D. Nayak, Lalitha V. Mohseni, Pedram Case Western Reserve University Dept. of Electrical Computer and Systems Engineering ClevelandOH United States University Hospitals Cleveland Medical Center Division of Hematology/Oncology ClevelandOH United States

ISBN: (纸本)9798350300260

Rapid point-of-care (POC) assessment of thrombosis is clinically important in patients who develop significant blood coagulation abnormalities such as noted with sepsis or COVID-19. In this work, we compare the coagulation profiles of whole blood in sepsis and COVID-19 patients using a handheld dielectric coagulometer termed ClotChip®. ClotChip® is a three-dimensional, parallel-plate, capacitive sensor integrated into a single-use microfluidic channel with a total volume of © 2023 IEEE.

关键词： Blood coagulation COVID-19 dielectric spectroscopy microfluidics point-of-care testing

来源：评论

学校读者我要写书评

暂无评论

Forecasting Unemployment Recession Rates: A Logistic Regression Approach Utilizing Comprehensive Economic Indicators

Forecasting Unemployment Recession Rates: A Logistic Regress...

引用

Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication engineering (RMKMATE), International Conference on

作者： Skandarsini R R Lakshmi Narayanaa T S. Jhansi Ida Dept. of Computer Science and Business Systems RMK Engineering College Thiruvallur India

This paper presents a predictive model using logistic regression to forecast unemployment recession rates, utilizing a range of variables such as GDP, inflation rates, employment rates, and trade activities. The model aims to provide accurate predictions of recession occurrence, utilizing historical data and rigorous cross-validation techniques. The model's significance lies in its potential applications in financial prudence and risk management, enabling job seekers to plan their personal finances and career trajectories, while companies can integrate these insights into strategic planning and supply chain optimization. The model's interpretability provides actionable insights by highlighting the significance and direction of each variable's impact on the predicted recession rate. The paper contributes to a deeper understanding of economic recessions and empowers stakeholders to navigate challenges with resilience and confidence. The model's deployment offers a practical tool for individuals and organizations to make informed choices during economic uncertainties, ultimately fostering prudent and sustainable economic strategies.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Analysis of an Urban Air Taxi Inner Loop Controller with Noisy IMUs in an Urban Airflow Environment

Analysis of an Urban Air Taxi Inner Loop Controller with Noi...

引用

IEEE Conference on Aerospace

作者： Tariq Maksoud Fidel Khouli Mohamed Atia Dept. of Mechanical and Aerospace Engineering Carleton University Ottawa Ontario Dept. of Computer and Systems Engineering Carleton University Ottawa Ontario

Interest in operating commercial Urban Air Taxis (UAT) around the world has been growing rapidly over the last few years. One of the many challenges in designing aircraft suitable for operating in a turbulent urban airflow environment is to design a robust inner loop flight controller. This study investigates the effect of filtered Angular Random Walk (ARW) error found in Inertial Measurement Units (IMU) on the inner loop flight controller's ability to maintain stable, wings level, horizontal flight, while not causing noticeable discomfort to passengers and respecting the limits of authority of the aircraft's control surfaces in a representative urban airflow environment. The performance of two controller architectures were investigated: classical Proportional, Integral, Derivative (PID) control scheme as well as Linear Active Disturbance Rejection Control (LADRC) control scheme. The conclusion of this study provides recommendations on a minimum threshold of IMU sensor grades and general considersations that would be useful to the controller designer. The findings are demonstrated by observing the vertical acceleration, $n_{z}$ , angular rate setpoint tracking performance, and control surface deflections.

关键词： Robust control PI control Filtering Sensor fusion Stability analysis Noise measurement PD control

来源：评论

学校读者我要写书评

暂无评论

Enhancing Parking Online Reservation with a Recommendation System based on User Preferences: A hybrid Approach

Enhancing Parking Online Reservation with a Recommendation S...

引用

ACS/IEEE International Conference on computer systems and Applications

作者： Serine Guellab Imane Benkhelifa Dept. of Computer Science USTHB University Algiers Algeria Dept. of Computer Systems’Therories and Engineering CERIST Research Center Algiers Algeria

In response to the pressing challenges in parking online reservation platforms, the primary issue this paper addresses is the need for a user-centric parking reservation experience. To tackle this problem, the study aims to develop a recommendation system that enhances user satisfaction and streamlines the parking reservation *** provide personalized parking recommendations, a hybrid multimodal recommendation system is designed, grounded in distance-based recommendation and content-based filtering, and taking into account user preferences and feedback, history behavior and proximity to preferred tourist attractions and points of *** leveraging a rich dataset comprising 1804 parking items, results indicate a notable improvement and more user-centric user experience, as the system suggests parking lots in line with user preferences and points of interest. User feedback mechanisms are seamlessly integrated, facilitating continuous adaptation and refinement based on user convenience and past *** work shows significant potential in enhancing user satisfaction and streamlining the user experience in parking online reservation systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Optimizing Random Forest Classifier for Detection of Alzheimer's Using OASIS

Optimizing Random Forest Classifier for Detection of Alzheim...

引用

Silchar Subsection Conference (SILCON), IEEE

作者： Karri Sai Sanjana Reddy Kishor Kumar Reddy C. Srinath Doss Kari Lippert Dept. of Computer Science and Engineering Stanley College of Engineering and Technology for Women Hyderabad India Faculty of Engineering and Technology Botho University Botswana Dept. of Systems Engineering University of South Alabama Alabama USA

ISBN: (数字)9798331540821

ISBN: (纸本)9798331540838

Alzheimer's disease (AD) is a progressive brain disorder impacting behavior, memory, and cognition, with over a million cases reported annually in India. The risk significantly increases beyond age 65. Early diagnosis and treatment can result in better recovery. We propose a predictive model using the Random Forest algorithm and the OASIS dataset for early AD diagnosis, leveraging MRI data, clinical notes, genetic markers, and cognitive test results. Our model was evaluated against several others, including Decision Tree, AdaBoost, SVM, and Logistic Regression. With a 97.3% accuracy and a 2.7% error rate, our Random Forest Classifier o utperformed t he others, demonstrating superior predictive power for early AD diagnosis and potentially improving patient care.

关键词： Training Accuracy Transfer learning Predictive models Prediction algorithms Genetics Classification algorithms Alzheimer's disease Random forests Medical diagnostic imaging

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence (AI) for Improving Performance at the Cutting Edge of Medical Imaging

Artificial Intelligence (AI) for Improving Performance at th...

引用

Novel Intelligent and Leading Emerging Sciences Conference (NILES)

作者： Samar M. Nour Dept. Computer and Systems Engineering Faculty of Engineering Badr University in Cairo(BUC) Cairo Egypt

Artificial intelligence (AI) has achieved great strides in recent years, with applications in a variety of areas of study, including healthcare. Consequently, the integration of artificial intelligence (AI) and medical imaging has ushered in a new era in healthcare diagnosis and therapy. Artificial intelligence (AI) has shown impressive potential in enhancing accuracy, efficiency, and diagnostic performance across a range of medical imaging modalities by using the power of deep learning (DL), machine learning (ML), and computer vision. In this paper, we are trying to investigate the connection between artificial intelligence (AI) and medical imaging, concentrating on how AI-driven strategies are improving performance at the cutting edge of medical imaging technologies through the proposed architecture model. Furthermore, the paper also explores the limitations and opportunities that result from incorporating artificial intelligence (AI) into the use of medical imaging. The potential for artificial intelligence (AI) to transform image-guided therapies and its implications for personalized medicine are investigated.

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 << < 78 79 80 81 82 83 84 85 86 87 > >>

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：