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

923 篇 会议
352 篇 期刊文献
13 册 图书

馆藏范围

1,288 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

689 篇 工学
- 531 篇 计算机科学与技术...
- 443 篇 软件工程
- 188 篇 信息与通信工程
- 113 篇 生物工程
- 107 篇 控制科学与工程
- 68 篇 生物医学工程（可授...
- 67 篇 光学工程
- 66 篇 电气工程
- 49 篇 电子科学与技术（可...
- 41 篇 网络空间安全
- 37 篇 交通运输工程
- 35 篇 安全科学与工程
- 32 篇 动力工程及工程热...
- 28 篇 机械工程
- 27 篇 建筑学
- 25 篇 仪器科学与技术
378 篇 理学
- 203 篇 数学
- 120 篇 生物学
- 93 篇 物理学
- 88 篇 统计学（可授理学、...
- 33 篇 系统科学
210 篇 管理学
- 117 篇 图书情报与档案管...
- 111 篇 管理科学与工程(可...
- 67 篇 工商管理
78 篇 医学
- 60 篇 临床医学
- 55 篇 基础医学(可授医学...
- 42 篇 公共卫生与预防医...
- 33 篇 药学(可授医学、理...
41 篇 法学
- 36 篇 社会学
24 篇 经济学
- 24 篇 应用经济学
15 篇 农学
9 篇 教育学
7 篇 文学
2 篇 军事学

主题

102 篇 accuracy
62 篇 computational mo...
62 篇 real-time system...
57 篇 machine learning
50 篇 deep learning
40 篇 training
38 篇 predictive model...
37 篇 feature extracti...
32 篇 artificial intel...
31 篇 machine learning...
31 篇 data models
30 篇 convolutional ne...
28 篇 analytical model...
26 篇 visualization
24 篇 security
23 篇 reliability
22 篇 technological in...
20 篇 support vector m...
20 篇 medical services
20 篇 forecasting

机构

13 篇 center for data ...
13 篇 dept. of linguis...
11 篇 dept. of compute...
11 篇 computer science...
11 篇 dept. of compute...
10 篇 smart data & kno...
8 篇 dept. of compute...
8 篇 center for data ...
8 篇 center for data ...
8 篇 school of data s...
7 篇 deepwise ai lab
7 篇 dept. of compute...
6 篇 kalinga universi...
6 篇 fraunhofer insti...
6 篇 data science and...
6 篇 dept. of compute...
6 篇 dept. of compute...
5 篇 university of th...
5 篇 g. s. sanyal sch...
5 篇 artificial intel...

作者

21 篇 bowman samuel r.
13 篇 ashwini kodipall...
13 篇 günnemann stepha...
12 篇 dengel andreas
12 篇 schröder markus
12 篇 jilek christian
11 篇 kodipalli ashwin...
10 篇 ravindran balara...
8 篇 deepak upadhyay
8 篇 nookala venu
7 篇 phang jason
7 篇 htut phu mon
7 篇 wang yizhou
6 篇 shoeibi afshin
6 篇 vijayan priyesh
6 篇 seth pratinav
6 篇 farnadi golnoosh
6 篇 rao trupthi
6 篇 alizadehsani roo...
6 篇 yuyun

语言

950 篇 英文
336 篇 其他
1 篇 朝鲜文
1 篇 中文

检索条件"机构=Dept. of Computer Science and Data Analytics"

共 1288 条记录，以下是41-50 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：

IoT-Enabled Covert Surveillance Camera Identification through IR Sensor 2

IoT-Enabled Covert Surveillance Camera Identification throug...

引用

2nd International Conference on Advancement in Computation and computer Technologies, InCACCT 2024

作者： Ruksana, Shaik Imran, Shaik Farheen, Shaik Fatima Kireeti, Krovi Mohan Sailaja, K.L. VR Siddhartha Engineering College Dept. of Artificial Intelligence and Data Science Vijayawada India VR Siddhartha Engineering College Dept. of Computer Science and Engineering Vijayawada India

ISBN: (纸本)9798350371314

A rising number of spy cameras installed in sensitive locations globally poses an escalating threat to personal privacy. Detecting these small and well-concealed cameras with the naked eye is challenging. Despite the abundance of Android apps, accurate detection remains elusive, with many requiring subscriptions and some charging users without prior notice. Furthermore, most IoT devices are designed to detect wired cameras, overlooking the prevalence of wireless spy cameras. Existing studies often rely on impractical methods, such as wireless transmission detection. The primary objective of this paper is to develop a cost-effective, scalable, robust, and user-friendly spy camera detector. This detector identifies all night vision cameras emitting infrared light, promptly alerting the user through a beep sound from the attached buzzer. In addressing the imperative need for heightened privacy protection, the IoT spy camera detector adept.y spots concealed cameras via IR signals. By offering user-friendly location alerts through a reassuring buzzer, it actively contributes to enhancing security measures against evolving privacy threats, creating a safer environment for all. © 2024 IEEE.

关键词： Cost effectiveness

来源：评论

学校读者我要写书评

暂无评论

Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimized Techniques Based on Dense Neural Networks

Diagnosis of Malignant Lymphoma Cancer Using Hybrid Optimize...

引用

2024 International Conference on computer and Applications, ICCA 2024

作者： Aly, Salah A. Bakhiet, Ali Balat, Mazen Badya University Faculty of Computing & Data Science Giza Egypt Fayoum University Faculty of Science Computer Science Dept. Fayoum Egypt Computer Science Dept. October 6th City Giza Egypt E-Japanese University of Science & Tech. Cs & It Dept. Alexandria Egypt

ISBN: (纸本)9798350367560

Lymphoma diagnosis, particularly distinguishing between subtypes, is critical for effective treatment but remains challenging due to the subtle morphological differences in histopathological images. This study presents a novel hybrid deep learning framework that combines DenseNet201 for feature extraction with a Dense Neural Network (DNN) for classification, optimized using the Harris Hawks Optimization (HHO) algorithm. The model was trained on a dataset of 15,000 biopsy images, spanning three lymphoma subtypes: Chronic Lymphocytic Leukemia (CLL), Follicular Lymphoma (FL), and Mantle Cell Lymphoma (MCL). Our approach achieved a testing accuracy of 99.33%, demonstrating significant improvements in both accuracy and model interpretability. Comprehensive evaluation using precision, recall, F1-score, and ROC-AUC underscores the model's robustness and potential for clinical adoption. This framework offers a scalable solution for improving diagnostic accuracy and efficiency in oncology. © 2024 IEEE.

关键词： Lung cancer

来源：评论

学校读者我要写书评

暂无评论

An Analysis of Human Factors in Malware Attacks

An Analysis of Human Factors in Malware Attacks

引用

2024 International Conference on computer and Applications, ICCA 2024

作者： Alotaibi, Jawza Al Ja'am, Jihad M. Hoda, Mohammed Oryx Universal College in Partnership with Liverpool John Moores University Dept. of Computing and Data Science Doha Qatar Kuwait College of Science and Technology Dept. of computer Science and Engineering Doha Kuwait

ISBN: (纸本)9798350367560

This research study investigates human responses to malware attacks, focusing on attacker motivations, individual reactions, and key factors influencing user vulnerability and resilience. Using a structured survey questionnaire, the study gathered data from 104 participants with diverse demographics across various occupations. The data was analyzed using SPSS statistical software and Python-based machine learning algorithms. The survey included demographic information and responses to cybersecurity-related questions about human behavior and experience. Machine learning techniques identified ten critical factors as significant predictors of vulnerability to malware attacks. The prediction model indicated that 55 out of 104 participants were vulnerable, with higher vulnerability observed among female participants and those in non-IT professions. This study contributes valuable insights into the human factors influencing cybersecurity resilience, providing a foundation for developing effective strategies to mitigate malware attack vulnerability. © 2024 IEEE.

关键词： Cyber attacks

来源：评论

学校读者我要写书评

暂无评论

Handling the Challenges of Microbiome data through Supervised Autoencoders for the Non-invasive Disease Diagnosis

Handling the Challenges of Microbiome Data through Supervise...

引用

2024 Discovery science Late Breaking Contributions, DS-LB 2024

作者： Buttaro, Veronica Ceci, Michelangelo Pio, Gianvito Dept. of Computer Science University of Bari Aldo Moro Bari Italy Data Science Lab CINI Consortium Rome Italy Dept. of Knowledge Technologies Jozef Stefan Institute Ljubljana Slovenia

来源：评论

学校读者我要写书评

暂无评论

Analysis and Ranking Resume using Machine Learning Algorithms and NLP 1

Analysis and Ranking Resume using Machine Learning Algorithm...

引用

1st IEEE International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Deshmukh, Pratik Chandrasen Bendre, M.R. Pravara Rural Engineering College Dept. of Data Science Engineering Loni India Pravara Rural Engineering College Dept. of Computer Engineering Loni India

ISBN: (纸本)9798350356816

Specialized recruiting firms have emerged as a result of the expansion of the Indian employment market. These agencies use machine learning models to expedite the hiring process and provide their clients with the best candidates. Thus, the suggested methodology offers the potential to improve the hiring process by incorporating the advantages of machine learning in addition to natural language processing(NLP). Employing NLP techniques, one may accurately grade resumes according to the company's criteria and extract useful information from them. After thorough testing and improvement, the web portal might prove to be an invaluable tool for hiring managers and job seekers ***, one might think about adding features to the CV classifier and ranker, such as customized feedback and recommendations for enhancements that might assist candidates in understanding where they might be lacking and increase their chances of getting recruited. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Multiclass Brain Tumor Detection using Deep Transfer Learning

Multiclass Brain Tumor Detection using Deep Transfer Learnin...

引用

2024 MIT Art, Design and Technology School of Computing International Conference, MITADTSoCiCon 2024

作者： Deshmukh, Aishwarya V. Bendre, M.R. Prawara Rural Engineering College Dept. of Data Science Engineering Loni India Prawara Rural Engineering College Dept. of Computer Engineering Loni India

ISBN: (纸本)9798350362879

Brain tumors, identified as abnormal growth of cell inside the brain, necessitate accurate categorization for tailored treatment plans. This classification aids in determining the severity of the condition and guiding therapeutic decisions. Iimaging technologies in medical like Magnetic Resonance Imaging (MRI) are instrumental in identifying brain pathologies without emitting ionizing radiation. Deep learning, a subset of AI, enhances brain tumor detection from MRI scans, improving prediction rates. Digital image processing is vital for medical image analysis and diagnosis. Brain tumors manifest in various forms, categorized as benign or malignant based on their tissue characteristics. Convolutional Neural Networks (CNNs), particularly VGG-16, Inception-v3, and ResNet-50 are prominent in brain tumor analysis, segmentation, and classification. These models are compared for their efficacy in identifying and forecasting brain tumor cells. Common brain tumor types include glioma, meningioma, and pituitary tumors, each requiring specific treatment approaches. © 2024 IEEE.

关键词： Tumors

来源：评论

学校读者我要写书评

暂无评论

Effective and Efficient Big OLAP data Cube Compression in Mobile Cloud Environments: The IQTS Algorithm

Effective and Efficient Big OLAP Data Cube Compression in Mo...

引用

2023 IEEE International Conference on Big data, Bigdata 2023

作者： Cuzzocrea, Alfredo Hajian, Mojtaba University of Calabria IDEA Lab Rende Italy University of Paris City Dept. of Computer Science Paris France Big Data Management and Analytics at University of Paris City Paris France

ISBN: (纸本)9798350324457

This paper introduces the Indexed Quad-Tree Summary (IQTS) algorithm, along with its concepts, models, and 'philosophy'. IQTS allows us to compress multidimensional OLAP views derived from big OLAP data cubes that populate Mobile Clouds. In addition to this, IQTS effectively and efficiently supports approximate query answering over compressed multidimensional OLAP views. These functionalities turn to be enabling functionalities for big data applications in a wide collection of modern scenarios, such as healthcare analytics. In light of these considerations, this paper provides motivations, anatomy and procedures of IQTS, enriched by several case studies that contribute to pinpoint the benefits coming from our proposed algorithm. © 2023 IEEE.

关键词： Approximate Query Answering Big data Big OLAP Cubes Intelligent Big data Applications Mobile Clouds

来源：评论

学校读者我要写书评

暂无评论

Remote Sensing Aircraft Classification Harnessing Deep Learning Advancements 18

Remote Sensing Aircraft Classification Harnessing Deep Learn...

引用

18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Saeed, Ahmad Atif, Haasha Bin Habib, Usman Bilal, Mohsin National University of Computer and Emerging Sciences Dept. of Ai & Data Science Islamabad Pakistan

ISBN: (纸本)9798350328172

Remote sensing imagery is challenging to analyze due to its diverse sources, object image variability and contextual backgrounds. In current era, Aviation Industry is continuously progressing from specific domain of aircraft classification to improving in its safety measures, maintenance procedures and diverse flight operations by utilizing the potential of satellite imagery and Deep Learning methods. This paper highlights and explores the potential of Transfer Learning with state-of-the-art Deep Learning architectures on publicly available Multi Type Aircraft Remote Sensing Imagery datasets. In the same context, our experiments and training mechanism on the state-of-the-art models, like Vision Transformers, ResNet50v2, EfficientNetB0 and InceptionNetV3 outperforms earlier methods on the benchmark remote sensing military aircraft dataset. Our experiments on mentioned Deep learning models yielded, 95%, 93.4%, 92% and 80% classification accuracy due to advance architecture design and fine tuning techniques by allowing them to capture more intricate features and patterns of multifaceted military platforms. This research will provide a valuable resource in the aviation industry in the perspective of aircraft recognition domain by utilizing the power of advance Deep Learning methods to handle the complexity and diversity of remote sensing imagery. © 2023 IEEE.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

The Role of data Visualization in Improving the Sustainability of Smallholdings 2

The Role of Data Visualization in Improving the Sustainabili...

引用

2nd International Conference on Technology Innovation and Its Applications, ICTIIA 2024

作者： Maulana, Ahmad Candra, Ade Amalia, Amalia Universitas Sumatera Utara Dept. of Data Science and Artificial Intelligence Medan Indonesia Universitas Sumatera Utara Dept. of Information Technology Medan Indonesia Universitas Sumatera Utara Dept. of Computer Science Medan Indonesia

ISBN: (纸本)9798350351613

Indonesia is the largest palm oil producer in the world, with smallholder oil palm plantations being a significant contributor. However, information regarding smallholder oil palm plantations is very limited. This research aims to provide an alternative solution by designing a dataset that can be used as a basis for decision-making. This research analyzed data from 2818 smallholders in 64 sub-districts in Sumatra. The level of sustainability was visualized and analyzed using QGIS based on three factors, namely plant age, group status, and certification status. The results show that the districts of Nassau, Sungai Apit, Kerumutan, Batang Asam, and Batang Toru have the highest level, while Batang Lubu Sutam, Salapian, Torgamba, Pematang Bandar, and Bilah Hulu subdistricts have the lowest level of sustainability. The sustainability levels per sub-district were visualized to cluster the level of sustainability per region for large-scale smallholding programs. © 2024 IEEE.

关键词： Information management

来源：评论

学校读者我要写书评

暂无评论

Brain-Powered Vehicles for Individuals with Disabilities Leveraging AI 4

Brain-Powered Vehicles for Individuals with Disabilities Lev...

引用

4th International Conference on Technological Advancements in Computational sciences, ICTACS 2024

作者： Jaison, T. Jisna Thambi, Priyanka E. Pinheiro, Nikita Scms School of Engineering and Technology Dept. of Artificial Intelligence & Data Science Karukutty India Kalamasery India St. Paul's College Dept. of Computer Science Kalamasery India

ISBN: (纸本)9798350387490

This paper provides a novel method for enhancing mobility and independence for people with disabilities via integrating Brain-pc interface (BCI) generation with artificial intelligence (AI) for vehicle control. The proposed device permits customers to control important vehicle features which includes steerage, braking, and acceleration the usage of their Brain indicators, captured through non-invasive EEG sensors. Preliminary checking out with diverse person agencies established an outstanding accuracy price of over ninety% in deciphering person intentions and efficaciously controlling the automobile. The device adapts to person neural styles, ensuring personalized and dynamic control, and extensively improves person autonomy and self-assurance. However, demanding situations which include sign noise, user variability, and long-time period device stability stay. This studies demonstrates the capacity for BCIs and AI to revolutionize transportation for individuals with disabilities, supplying an exceptional level of independence. Future trends will focus on improving signal clarity, improving machine stability, and addressing regulatory issues to make sure safe, real-world application. © 2024 IEEE.

关键词： Neurons

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129页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：