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

31,669 篇 会议
4,984 篇 期刊文献
259 册 图书
1 篇 科技报告

馆藏范围

36,913 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

22,988 篇 工学
- 16,611 篇 计算机科学与技术...
- 13,958 篇 软件工程
- 6,082 篇 信息与通信工程
- 3,590 篇 控制科学与工程
- 2,783 篇 电子科学与技术（可...
- 2,727 篇 电气工程
- 2,462 篇 生物工程
- 2,030 篇 生物医学工程（可授...
- 1,618 篇 光学工程
- 1,402 篇 机械工程
- 1,265 篇 仪器科学与技术
- 1,258 篇 动力工程及工程热...
- 1,058 篇 化学工程与技术
- 879 篇 安全科学与工程
- 742 篇 交通运输工程
11,822 篇 理学
- 6,417 篇 数学
- 3,225 篇 物理学
- 2,699 篇 生物学
- 2,120 篇 统计学（可授理学、...
- 1,412 篇 系统科学
- 1,129 篇 化学
5,972 篇 管理学
- 3,449 篇 管理科学与工程(可...
- 2,818 篇 图书情报与档案管...
- 1,918 篇 工商管理
1,692 篇 医学
- 1,470 篇 临床医学
- 1,379 篇 基础医学(可授医学...
- 906 篇 药学(可授医学、理...
- 702 篇 公共卫生与预防医...
1,087 篇 法学
- 881 篇 社会学
682 篇 经济学
- 682 篇 应用经济学
510 篇 农学
463 篇 教育学
162 篇 文学
78 篇 军事学
42 篇 艺术学
6 篇 哲学
4 篇 历史学

主题

1,116 篇 accuracy
865 篇 feature extracti...
864 篇 computational mo...
728 篇 deep learning
720 篇 training
700 篇 computer science
526 篇 support vector m...
526 篇 real-time system...
516 篇 machine learning
453 篇 predictive model...
428 篇 internet of thin...
363 篇 convolutional ne...
359 篇 data models
348 篇 computer archite...
340 篇 reliability
314 篇 data mining
311 篇 optimization
289 篇 routing
270 篇 artificial intel...
263 篇 wireless sensor ...

机构

83 篇 institut univers...
82 篇 north-west unive...
80 篇 national centre ...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
76 篇 institute of inf...
74 篇 tno technical sc...
66 篇 università di ca...
65 篇 université de st...
58 篇 dept. of informa...
58 篇 nikhef national ...
56 篇 dept. of compute...
55 篇 dept. of compute...
55 篇 dept. of informa...
52 篇 school of automa...
52 篇 leiden universit...
49 篇 dept. of compute...
44 篇 dept. of compute...
43 篇 dept. of electri...
42 篇 infn lnf via enr...

作者

86 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
83 篇 chen a.
80 篇 kalekin o.
79 篇 díaz a.f.
79 篇 boumaaza j.
73 篇 coleiro a.
72 篇 gozzini s.r.
68 篇 huang f.
64 篇 dallier r.
54 篇 anguita m.
51 篇 kulikovskiy v.
44 篇 del burgo r.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.

语言

34,922 篇 英文
1,554 篇 其他
329 篇 中文
63 篇 日文
45 篇 朝鲜文
2 篇 德文
2 篇 斯洛文尼亚文
1 篇 法文
1 篇 葡萄牙文

检索条件"机构=Dept. Informatics Engineering of Computer Science"

共 36913 条记录，以下是4701-4710 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：

Deep Learning for Enhanced Consumer Behavior Analysis and Predictive Accuracy

Deep Learning for Enhanced Consumer Behavior Analysis and Pr...

引用

Innovations and Challenges in Emerging Technologies (ICICET), International Conference on

作者： Jigyasa Bharti Snehlata Dongre Dept. of Computer Science and Engineering G H Raisoni College of Engineering Nagpur India

ISBN: (数字)9798350319019

ISBN: (纸本)9798350319026

The accelerating digital transformation in retail necessitates advanced analytical approaches to effectively comprehend and predict consumer behavior. Existing methodologies in retail data mining often fall short in handling the complexity and heterogeneity of data, resulting in suboptimal predictive accuracy and operational efficiency. This work addresses these limitations by introducing a novel deep learning framework that synergizes the capabilities of Graph Neural Networks (GNNs) with Q Learning and VARMAx models. The proposed model adept.y fuses data from diverse sources such as Twitter, Amazon, Facebook, and Flipkart, creating a comprehensive analysis platform. By leveraging the relational data structure processing power of GNNs and the dynamic decision-making proficiency of Q Learning, along with the time series predictive strength of VARMAx models, this approach offers a more holistic understanding of consumer trends. The efficacy of this model is demonstrated through extensive testing on varied data samples encompassing social media, e-commerce platforms, and tweets. The results are compelling: an 8.3% increase in accuracy, 8.5% enhancement in precision, 6.5% improvement in recall, and a significant 10.4% reduction in delay compared to existing classification methods. The impact of this work is far-reaching, offering retailers a robust tool for strategic decision-making, enhanced customer insight, and a competitive edge in the rapidly evolving digital marketplace. This approach not only propels the retail industry forward but also sets a new benchmark in the application of deep learning for consumer behavior analysis.

关键词： Deep learning Technological innovation Consumer behavior Accuracy Q-learning Social networking (online) Decision making

来源：评论

学校读者我要写书评

暂无评论

Deception Detection Deep Learning Comprehensive system Utilizing Explainable AI 16

Deception Detection Deep Learning Comprehensive system Utili...

引用

16th International Conference on Developments in eSystems engineering, DeSE 2023

作者： Salah, Suhaib Khater, Tarek Almajali, Eqab Khan, Wasiq Hussain, Abir University of Sharjah Dept. of Electrical Engineering Sharjah United Arab Emirates Liverpool John Moores University Department of Computer Science Liverpool United Kingdom

ISBN: (纸本)9798350381344

Deception detection plays a vital role in various domains, from security and law enforcement to human behavior analysis. In this paper, we propose a comprehensive system for deception detection that leverages S&A smart sensing device, deep transfer learning, deep learning techniques, and explainable artificial intelligence. Our approach combines visual, auditory, thermal, cardiovascular, and respiratory cues, offering enhanced accuracy and resistance to countermeasures. Deep Transfer Learning is employed to adapt pre-trained models to the deception detection task, overcoming data limitations. Incorporating Explainable AI techniques enhances transparency and interpretability, fostering trust and collaboration in human-machine interactions. Our research lays the groundwork for future advancements in deception detection technology, addressing challenges and providing promising opportunities in the realm of deception detection. © 2023 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Navigating the Landscape of Intelligent Systems, Smart Technologies, and User-Centric Evolution

Navigating the Landscape of Intelligent Systems, Smart Techn...

引用

Intelligent Data Communication Technologies and Internet of Things (IDCIoT), International Conference on

作者： Sanjay Reddy Komatireddy Y. Krishna Bhargavi Dept. of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India

Human-computer Interaction (HCI) is a dynamic field pi votal in shaping human-technology relationships. HCI is a multidisciplinary field, essential in understanding and enhancing the interaction between humans and technology. Challenges within HCI encompass design, usability, accessibility, and emotional resonance. The aim of this research study is to highlight the multifaceted nature of HCI, offering insights into its transformative and complementing potential and its continuous influence on the digital landscape. By delving into the challenges faced and the current technologies (Multimodal Affect Recognition, Artificial Intelligence, etc.), this review serves as a foundation for further research and development in this vital domain, offering valuable insights into the dynamic HCI landscape.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Identification of Fraudulent Transactions for Enhanced Credit Card Fraud Detection 4

Identification of Fraudulent Transactions for Enhanced Credi...

引用

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

作者： Gupta, Monica Gayathri, V. Narula, Rachna Kumar, Vijay Kaur, Surinder Singh, Neetu Bharati Vidyapeeth's College of Engineering Dept. of Electronics and Communication Engineering New Delhi India Bharati Vidyapeeth's College of Engineering Department of Computer Science and Engineering New Delhi India Bharati Vidyapeeth's College of Engineering Department of Information and Technology New Delhi India

ISBN: (纸本)9798350387490

With the flourishment of the digital era and the evolution of new techniques and technology, this paper highlights the ever-growing risk of credit card fraud. The advancing technology has provided fraudsters with new and untraceable techniques for scamming genuine users. With the increasing impact of fraud, financial institutions must use machine learning tools for scam detection to provide safety and security to their users' accounts. This paper consists of an interdisciplinary comparative analysis of ML algorithms: Random Forest Classifier, XGBoost, ADABoost, Logistic Regression, Decision Trees, and Artificial Neural Networks. The diverse selection of algorithms aims to determine the most effective algorithm with the highest accuracy score for predicting legitimate and fraudulent transactions. The methodology involves fetching data from an Excel file, training the models, testing them on 20% of the dataset, and finally obtaining results in a Word document, having a confusion matrix and accuracy of each algorithm. By comparing the results of the confusion matrix and accuracy score, the Random Forest Classifier and XGBoost demonstrate the highest accuracy scores, while Logistic Regression yields a lower accuracy score. © 2024 IEEE.

关键词： Logistic regression

来源：评论

学校读者我要写书评

暂无评论

Field Demonstration of Blockchain-based Security for a Solar Farm

Field Demonstration of Blockchain-based Security for a Solar...

引用

IEEE Energy Conversion Congress and Exposition, ECCE

作者： BoHyun Ahn Kalyan Nakka Nathanial R. Handke Trevor J. Reyna Taesic Kim Dept. of Electrical Engineering and Computer Science Texas A&M University-Kingsville Kingsville TX USA Dept. of Computer Science and Engineering Texas A&M University College Station TX USA Dept. of Electrical Engineering and Computer Science University of Missouri-Columbia Columbia MO USA

ISBN: (数字)9798350376067

ISBN: (纸本)9798350376074

This paper introduces a Blockchain (BC)-based security model for a solar farm, providing security functions such as firmware patching management, role-based access control, public key infrastructure, and man-in-the-middle attacks detection (MITM), malware file detection. In particular, this paper provides detailed field-testing methods at a solar fam to demonstrate the feasibility and effectiveness of cyber-attack detection methods. Practical cyberattacks targeting solar farms are designed and conducted. It is demonstrated that the proposed BC-based system proactively detects MITM attacks, firmware modification attack, and malware attack, while ensuring the continuous operation of the solar farm during attack events.

关键词： Solar farms Solar energy Network security Malware Vectors Blockchains Security Testing Payloads Microprogramming

来源：评论

学校读者我要写书评

暂无评论

A Deep Learning Approach to Analyze the Relationship Between Gender, Height, Weight, and Basal Metabolic Rate from Face Images

A Deep Learning Approach to Analyze the Relationship Between...

引用

Power, Electrical, and Electronics and Industrial Applications (PEEIACON), IEEE International Conference on

作者： Shykul Islam Siam S. A. H. Chowdhury Nafi Ahmed Swapneel Biswas Dept. of Electronics & Telecommunication Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Dept. of Computer Science & Engineering Ahsanullah University of Science & Technology Dhaka Bangladesh

ISBN: (数字)9798331517984

ISBN: (纸本)9798331517991

In response to existing limitations, a novel convolutional neural network (CNN) model tailored for facial attribute estimation is introduced in this study. The methodology encompasses meticulous data preprocessing techniques, including dataset splitting, resizing, cleaning, augmentation, and cropping, to ensure the integrity of the dataset. Through rigorous real-world testing, remarkable accuracy in predicting gender, height, weight, and basal metabolic rate (BMR) from facial photos is demonstrated by our CNN architecture. Notably, unlike conventional approaches where BMR is directly estimated from facial images, three output neurons are employed by our model to simultaneously predict gender, height, and weight, which are sub-sequently utilized for BMR calculation. A primary contribution is made through the development of a comprehensive methodology that advances the reliability of facial attribute estimation by achieving an outstanding accuracy of 98.50% on our dataset named Face-ete and a commendable accuracy of 88.29% on another dataset. Our model outperforms the second-best model by percentage relative improvement factors of 2.19 and 4.28 in terms of BMR prediction accuracy for the “Faceere” and the other dataset, respectively. This work represents a significant step forward in the field of facial attribute estimation.

关键词： Accuracy Estimation Predictive models Cleaning Real-time systems Convolutional neural networks Reliability Facial features Context modeling Testing

来源：评论

学校读者我要写书评

暂无评论

Estimation of Relative Position of Drone using Fixed Size QR Code

Estimation of Relative Position of Drone using Fixed Size QR...

引用

2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022

作者： Kang, Tae-Won Choi, Yong-Sik Jung, Jin-Woo Dongguk University Dept. of Artificial Intelligence Seoul Korea Republic of Dongguk University Dept. of Computer Science and Engineering Seoul Korea Republic of

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Inventory management is very important in any industry. In the past, people were directly involved in inventory management. However, this method is time consuming and requires a lot of labor. Therefore, in recent years, inventory management methods using drones are increasing. In this paper, we introduce an inventory management system using RFID and QR code, and a method of estimating the relative position of a drone based on the QR code, which is essential in the system. As a result of the experiment, when the center point of the QR code and the center point of the camera coincide, the error rate was very small, 0-1%. When the center points do not coincide, an error rate of up to 4% occurred. © 2022 IEEE.

关键词： Drones

来源：评论

学校读者我要写书评

暂无评论

Non-Invasive Oral Cancer Detection Using Hyperspectral Imaging and Advanced Spectral Unmixing Models

Non-Invasive Oral Cancer Detection Using Hyperspectral Imagi...

引用

Intelligent Computing and Emerging Communication Technologies (ICEC), International Conference on

作者： Valluri Ayyapa Kesava Sriram Kothamasu Priyusha Killaru Saadhivik Muddana Suresh Aala Vamsi Gutha Mukkara Prasana Kumar Sunil Chinnadurai Dept.of Electronics and Communication Engineering SRM University AP India Dept. of Computer Science and Engineering SRM University AP India Dept. of Computer Science SRM University AP India

ISBN: (数字)9798331508432

ISBN: (纸本)9798331508449

Oral cancer is a significant global health concern, often leading to high mortality rates due to late-stage diagnosis and the lack of effective early detection methods. Despite advances in medical science, the absence of reliable early diagnostic tools remains a critical challenge. Hyperspectral imaging (HSI) has emerged as a powerful noninvasive technology, capturing detailed spectral information across a wide range of wavelengths. This allows for accurate differentiation between cancerous and healthy tissues, improving early detection and enhancing treatment outcomes. In this study, we propose the use of HSI for early oral cancer diagnosis. To address the scarcity of labeled data, we developed a synthetic hyperspectral dataset that includes spectral signatures of both normal and cancerous tissues. The dataset was generated using a bilinear mixing model, with key spectral features extracted through Vertex Component Analysis (VCA) and abundances computed using Non-Negative Least Squares (NNLS). The model's performance was evaluated using Spectral angle distance (SAD) and Root mean square error (RMSE) metrics. Our findings demonstrate that HSI significantly improves the accuracy of early oral cancer detection, outperforming traditional methods. This work highlights the potential of advanced imaging technologies in revolutionizing cancer diagnosis, offering a robust framework for non-invasive detection and showcasing the effectiveness of synthetic datasets in medical imaging research.

关键词： Measurement Accuracy Computational modeling Mortality Feature extraction Reliability Root mean square Cancer Hyperspectral imaging Synthetic data

来源：评论

学校读者我要写书评

暂无评论

An Extended Reality Platform Powered by Large Language Models: A Case Study on Teaching Dance Costumes

An Extended Reality Platform Powered by Large Language Model...

引用

IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Silvia Garzarella Giacomo Vallasciani Pasquale Cascarano Shirin Hajahmadi Elena Cervellati Gustavo Marfia Dept. of the Arts University of Bologna Bologna Italy Dept. of Computer Science and Engineering University of Bologna Bologna Italy

ISBN: (数字)9798331521578

ISBN: (纸本)9798331521585

In this paper, we present an Extended Reality (XR) platform powered by Large Language Models (LLMs), designed to support education in dance history and cultural heritage. The platform here applied to a case study on a dance costume, allows users to interact with 3D models, annotate them, and explore their historical and cultural contexts collaboratively. Using features like image-to-LLM queries, users can gain insights into costume details and performance history, and the annotation tools enable uploading multimedia resources, thereby simulating an archival research environment. By integrating LLMs, the platform provides tailored information and context on demand, enriching the user experience with detailed explanations about objects, such as costume construction, usage, and cultural significance.

关键词： Solid modeling Three-dimensional displays Extended reality Annotations Large language models User experience Cultural differences History Context modeling

来源：评论

学校读者我要写书评

暂无评论

IoT-Enhanced Smart Bulletin Board: A Multi-Functional Connectivity Hub

IoT-Enhanced Smart Bulletin Board: A Multi-Functional Connec...

引用

Intelligent Data Communication Technologies and Internet of Things (IDCIoT), International Conference on

作者： Mallikarjuna Rao Gundavarapu VeerlapalIi Swapna Enugu Sriamsh Reddy Pindi Praveen Kumar Abhinay Prathapani Kothapally Shivaji Dept. of Computer Science and Engineering Gokaraju Rangaraju Institute of Engineering and Technology Hyderabad India

The problem with traditional notice boards is their static nature, leading to outdated information and manual effort to update. An IoT-based smart notice board solves this by providing real-time updates but requires addressing challenges such as connectivity, power management, compatibility, user interface, security, and maintenance. Addressing these challenges ensures an effective and user-friendly smart notice board. The proposed model involves using an LED dot matrix, ESP32, Kodular app, Firebase Cloud and DS3231 module. The app sends messages to the Firebase then it passes the message to ESP32, which displays message on the LED dot matrix, We use Firebase cloud which provides infinite range. Firebase provides a NoSQL database that allows developers to store and synchronize data in real-time. It is suitable for applications that require real-time updates, such as chat apps, collaborative tools, and live dashboards. The DS3231 module shows real-time information. This study implements a feature that allows the user to retrieve the current time and temperature by pressing a button in the Kodular app. When the button is pressed, a command is sent to the ESP32, which retrieves the relevant data from the DS3231 module and sends it to display. This study creates a buffer to store messages, accessible by indexes, allowing easy retrieval. The proposed system provides a comprehensive solution for displaying messages, real-time data, and efficient message storage. QR codes are also provided to scan.

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 << < 467 468 469 470 471 472 473 474 475 476 > >>

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：