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

6,859 篇 会议
109 篇 期刊文献
95 册 图书

馆藏范围

7,062 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,834 篇 工学
- 3,952 篇 计算机科学与技术...
- 2,269 篇 软件工程
- 875 篇 信息与通信工程
- 815 篇 电气工程
- 763 篇 控制科学与工程
- 460 篇 生物工程
- 391 篇 生物医学工程（可授...
- 317 篇 机械工程
- 266 篇 光学工程
- 233 篇 电子科学与技术（可...
- 206 篇 仪器科学与技术
- 159 篇 化学工程与技术
- 150 篇 网络空间安全
- 144 篇 材料科学与工程（可...
- 131 篇 安全科学与工程
1,712 篇 理学
- 879 篇 数学
- 524 篇 生物学
- 495 篇 物理学
- 292 篇 统计学（可授理学、...
- 175 篇 化学
- 156 篇 系统科学
999 篇 管理学
- 608 篇 管理科学与工程(可...
- 436 篇 图书情报与档案管...
- 271 篇 工商管理
563 篇 医学
- 487 篇 临床医学
- 283 篇 基础医学(可授医学...
- 149 篇 药学(可授医学、理...
- 140 篇 公共卫生与预防医...
162 篇 法学
- 137 篇 社会学
118 篇 经济学
- 111 篇 应用经济学
101 篇 农学
86 篇 教育学
33 篇 艺术学
22 篇 文学
12 篇 军事学

主题

795 篇 pattern recognit...
653 篇 artificial intel...
496 篇 machine learning
242 篇 feature extracti...
222 篇 deep learning
209 篇 support vector m...
178 篇 neural networks
151 篇 accuracy
128 篇 face recognition
113 篇 data mining
113 篇 computer vision
112 篇 training
106 篇 local binary pat...
105 篇 machine learning...
101 篇 convolutional ne...
90 篇 predictive model...
86 篇 image segmentati...
85 篇 computational mo...
84 篇 image processing
84 篇 image recognitio...

机构

20 篇 univ waterloo de...
20 篇 the islamic univ...
19 篇 nitte meenakshi ...
18 篇 indian stat inst...
17 篇 chitkara univers...
16 篇 college of intel...
15 篇 sr university sc...
12 篇 institute of ima...
12 篇 school of comput...
10 篇 college of techn...
10 篇 datta meghe inst...
10 篇 school of artifi...
10 篇 concordia univ c...
10 篇 school of comput...
10 篇 shanghai jiao to...
10 篇 univ waterloo pa...
9 篇 national laborat...
9 篇 datta meghe inst...
9 篇 department of ar...
9 篇 university of ch...

作者

23 篇 verma prateek
22 篇 kamel mohamed s.
20 篇 pareek piyush ku...
17 篇 suen ching y.
17 篇 prateek verma
14 篇 karray fakhri
13 篇 yang jie
12 篇 c.y. suen
11 篇 jayadharshini p.
10 篇 kamel m
10 篇 lu bao-liang
10 篇 maji pradipta
10 篇 kittler josef
9 篇 kumar bura vijay
8 篇 al-turjman fadi
8 篇 atia ayman
8 篇 wong alexander
8 篇 suen cy
8 篇 adnan myasar mun...
8 篇 kamel mohamed

语言

6,609 篇 英文
423 篇 其他
68 篇 中文
1 篇 西班牙文
1 篇 法文

检索条件"任意字段=2nd International Conference on Pattern Recognition and Machine Intelligence"

共 7063 条记录，以下是221-230 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：

Federated Learning-Driven Decentralized intelligence for Explainable Anomaly Detection in Industrial Operations 2

Federated Learning-Driven Decentralized Intelligence for Exp...

引用

2nd international conference on Sustainable Computing and Smart Systems (ICSCSS)

作者： Marry, Prabhakar Mounika, Y. Nanditha, S. Shiva, R. Saikishore, R. Vignan Inst Technol & Sci A Dept IT Hyderabad India

ISBN: (纸本)9798350391558;9798350379990

In today's rapidly evolving landscape of smart industry, timely detection of anomalies within industrial machinery stands as a critical factor in preventing breakdowns and upholding safety standards. While machine Learning (ML) offers an automated solution, leveraging the Internet of Things (IoT) for data collection, it encounters challenges like data security risks and uneven data distribution. To overcome these challenges, this study proposes an innovative Autoencoder-based Federated Learning Framework. This framework conducts multiple rounds of training on sensor data gathered from randomly selected IoT devices. This study aims to experiment with model aggregation techniques such as FedAvg and FedAvgM, followed by a thorough comparative analysis. Furthermore, by integrating Explainable AI techniques, we enhance the transparency and interpretability of our anomaly detection models, providing stakeholders with insightful explanations of their functioning.

关键词： Anomaly detection Federated Learning Framework Industrial machinery

来源：评论

学校读者我要写书评

暂无评论

Application of machine Learning Techniques for Fault Diagnosis in photovoltaic Arrays Using Temporal Changes in Current and Voltage Signals 2

Application of Machine Learning Techniques for Fault Diagnos...

引用

2nd international conference on Electrical Engineering and Automatic Control (ICEEAC)

作者： Belaout, Abdesslam Benammar, Abdessalem Res Ctr Ind Technol CRTI POB 64 Algiers 16014 Algeria

ISBN: (纸本)9798350349740;9798350349757

This study explores the variability of two key signals, I (Photovoltaic Array Current) and V (Photovoltaic Array Voltage), within the context of diagnosing faults in photovoltaic systems. Our research focuses on how examining the temporal evolution of these two signals can differentiate faults that may initially present with similar characteristics. This analysis underscores the significance of continuous monitoring of these signals to identify any variation and enhance the fault diagnosis process in photovoltaic systems. In fact, K-Nearest Neighbor (K-NN) as one of the used models in this study. K-NN saw a significant increase in accuracy, passing from 80.81% to 87.80%, demonstrating the importance of using the proposed method.

关键词： Current and Voltage Signals Fault diagnosis Fault classification Artificial intelligence Irradiance

来源：评论

学校读者我要写书评

暂无评论

Monitoring Industrial Protection Gear Using Intelligent System 2

Monitoring Industrial Protection Gear Using Intelligent Syst...

引用

2nd IEEE international conference on Networking and Communications, ICNWC 2024

作者： Yakubraj, M. Rajkumar, J.S. Sophas Samuel, S. Matthew Palmer, G. Ancy Jenifer, J. Karunya Institute of Technology and Sciences Data Science & Cyber Security Coimbatore India Karunya Institute of Technology and Science Artificial Intelligence & ML Coimbatore India Karunya Institute of Technology and Sciences Coimbatore India

ISBN: (数字)9798350365269

ISBN: (纸本)9798350365269

In this article, the problem of using an intelligent system to ensure the use of personal protective equipment (PPE) in industrial safety is discussed. The real-time solution provides fast feedback and easy-to-use monitoring to safety managers and users alike by combining sensors and machine learning algorithms. The analysis shows how it can improve industrial safety regulations and assesses its efficacy. Strategically placed sensors gather copious amounts of data about PPE compliance, and the system integrates wearable, vision-based, and environmental technologies. Novel techniques such as Computer vision algorithm is used object detection and recognition. SSD single-shot multi-box detectors and (YOLO) enable efficient object detection and quick PPE item identification. Furthermore, it has been observed that Region-based Convolution Neural Network(R-CNNs) increase workplace safety standards by improving the system's adaptability to variations in the usage of safety gear over time. © 2024 IEEE.

关键词： Intelligent systems

来源：评论

学校读者我要写书评

暂无评论

Knowledge based Organizational Personal Assistant 2

Knowledge based Organizational Personal Assistant

引用

2nd international conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2024

作者： Mohan, Vasanthakumar Paramesh, Anandh Sivaguru Panimalar Engineering College Artificial Intelligence and Data Science Chennai India

ISBN: (纸本)9798350328202

In the modern era, most activities are being digitized. One of the main objectives of AI is to enable human machine interaction. The dialogue systems technology has been utilized by numerous organizations to create a variety of types of personal assistants depending on their applications and domains. Here we introduce the development of a versatile Knowledge Based Personal Assistant for College that leverages advanced technologies, including natural language processing, voice recognition, and text to speech synthesis, to address the diverse and evolving needs of the college community. This AI driven system is designed to facilitate a seamless and efficient user experience, allowing users to interact with the assistant through both voice and text inputs. Alongside core functionalities encompassing academic schedule management, emergency contact assistance, email integration, location based services, and academic inquiries, the assistant provides responses in both voice and text formats. Technical aspects include the integration of state of the art NLP algorithms for query understanding and context aware responses. Users can easily switch between input mode and receive responses, accordingly, offering a flexible and inclusive user experience. The assistant adaptability and expandability are central to its design, featuring modular architecture that facilitates the integration of additional features and services. © 2024 IEEE.

关键词： Knowledge based systems

来源：评论

学校读者我要写书评

暂无评论

The Impact of Artificial intelligence for Developing Supply Chain Collaboration Performance: An Empirical Investigation 2

The Impact of Artificial Intelligence for Developing Supply ...

引用

2nd IEEE international conference on Emerging Research in Computational Science, ICERCS 2024

作者： Jenefa, Leena Kanchana, Kanchana Jayakumar, M. Subburaj, L. Kanishkar, R. Ashok Kumar, S. School of Management Hindustan Institute of Technology and Science Chennai India Sarah Tucker College Department of Commerce Tirunelveli India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Department of Management Studies Chennai India

ISBN: (纸本)9798331534950

Organizations are increasingly looking into artificial intelligence to improve operational efficiency and performance. Artificial intelligence marketing makes use of data to forecast customer behavior and improve their experience. It bridges the gap between data science and execution by processing and analyzing massive volumes of previously unmanageable data. An AI marketing tool is a platform or application that employs AI technology to enhance data-driven decisions. These technologies include combine artificial intelligence, and usual processing, by using machine learning, and data analytics to fasten the procedure with automatic processes, then analyze data, and give efficient output for optimizing the result for helping the management to frame new strategy for their business campaigns. This research will provide empirical information on how to maximize the benefits of AI capabilities for generating long-term SCP. © 2024 IEEE.

关键词： Artificial intelligence Logistics Supply Chain efficiency Supply chain performance and Supply Chain collaboration

来源：评论

学校读者我要写书评

暂无评论

Sentimental Analysis of Tweets Using machine Learning 2

Sentimental Analysis of Tweets Using Machine Learning

引用

2nd international conference on Advancements in Smart, Secure and Intelligent Computing, ASSIC 2024

作者： Naik, S.K. Lokesh Kiran, Ajmeera Arshad, Mohammad Reddy, Kamjula Lakshmi Kanth Mlr Institute of Technology Department of Computer Science and Engineering Hyderabad India Hyderabad500001 India Anurag University Department of Artificial Intelligence Hyderabad India

ISBN: (纸本)9798350370188

The social media platforms Instagram, Facebook, Twitter, WhatsApp, and Telegram are some of the most effective for international communication. Individuals frequently share their ideas and feelings on Twitter and other social networks at various times. In order to determine if user-generated language reflects a positive, negative, or neutral view about an entity, this effort aims to develop a model that can analyses user- generated text utilizing voice conversation and emojis. A dataset of tweets from Twitter was generated using a Python Twitter scraper. To analyses people's emotions, machine learning techniques and approaches are applied and Text Blob to add a positive, negative, or neutral emoji to each tweet. The proposed system performs sentiment analysis using naive Bayes machine learning techniques. © 2024 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Artificial intelligence based models for the Identification of Uterine Cancer 2

A Comparative Analysis of Artificial Intelligence based mode...

引用

2nd IEEE international conference on Advancements and Key Challenges in Green Energy and Computing, AKGEC 2024

作者： Batra, Neera Kaur, Amandeep Goyal, Sonali Nimma, Divya University Deptt. Of Cse Mullana Ambala India University of southern Mississippi Ummc United States

ISBN: (纸本)9798350390179

Uterine cancer identification is a critical task in medical diagnostics since early detection improves patient health. machine learning (ML) and deep learning (DL) have both showed promise in this discipline as artificial intelligence has advanced. The present paper offers a thorough analysis and comparison of ML and DL methods for uterine cancer detection. Several algorithms, datasets, and assessment criteria have been evaluated in this study in order to ascertain which method performs best. Graphical presentations and tabular comparisons are used to examine the data and show the advantages and disadvantages of each approach. The results conclude that DL based models perform better than typical ML models in terms of accuracy and predictive power, even if both strategies offer advantages. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

Dynamic Bidirectional Translation for Sign Language by Using machine Learning-Infused Approach with Integrated Computer Vision 2

Dynamic Bidirectional Translation for Sign Language by Using...

引用

2nd international conference on Disruptive Technologies, ICDT 2024

作者： Jain, Somya Diwakar, Shikha Yadav, Neha G.L. Bajaj Institute of Technology and Management Engineering/ Computer Science Artificial Intelligence Department of Applied Computational Science India School of Information & Communication Technology Gautam Buddha University Engineering/Artificial Intelligence India G.L. Bajaj Institute of Technology and Management Department of Applied Computational Science India

ISBN: (纸本)9798350371055

This research aims to break communication barriers for the deaf and hard-of-hearing by pioneering a real-time, dynamic sign language translator. Unlike existing apps, it uses a CNN to translate simultaneously between English and American Sign Language (ASL). It features an animated avatar for interactive communication, and goes beyond translation with chat, video calls, and precise hand motion capture. This innovative approach paves the way for inclusive and secure communication within the deaf community. © 2024 IEEE.

关键词： ASL avatar CNN communication barriers deaf inclusive real-time Sign language translation

来源：评论

学校读者我要写书评

暂无评论

Applying Artificial intelligence for Emotion Detection from Text Messages 2

Applying Artificial Intelligence for Emotion Detection from ...

引用

2nd IEEE international conference on Trends in Quantum Computing and Emerging Business Technologies, TQCEBT 2024

作者： Alen, Wenish J. Sathishkumar, K. Kishore, R. Julian, Anitha EmbedUR Systems Tamil Nadu Chennai India Light & Wonder Tamil Nadu Chennai India Saveetha Engineering College Tamil Nadu Chennai India

ISBN: (纸本)9798350384277

Human interactions are usually fostered by emotions. There are numerous techniques to identify these emotions, such as through speech, body language, and facial expressions. To determine the emotions included in the text, text-based emotion detection is required. This paper develops Convolutional Neural Network (CNN) based emotion recognition in text. The objective of this paper is to evaluate the text and categories the many feelings it expresses including joy, fury, grief, surprise, love, and terror. The accuracy achieved with this method was 93.13%. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Smart Fields: Enhancing Agriculture with machine Learning 2

Smart Fields: Enhancing Agriculture with Machine Learning

引用

2nd international conference on Artificial intelligence and machine Learning Applications, AIMLA 2024

作者： Manju, M. Indira Priya, P. Shivaraj, S. Rissi Kumar, P. Shivesh, P.R. Rajalakshmi Engineering College Anna University Department of Artificial Intelligence and Machine Learning Chennai India

ISBN: (数字)9798350349221

ISBN: (纸本)9798350349221

A substantial portion of the Indian population makes their livelihoods mostly from agriculture. However, there is a critical need to support our farmers with the current- state-of-the-art techniques that help to tackle the challenges posed by traditional agriculture practices Thus, the farmers can enable an increased income through monitoring the crop health, and high yield. This paper introduces a novel approach that integrates advanced computer vision and machine learning techniques for identifying diseases in crops. In addition, It also includes a smart Decision Support System (DSS) for recommending suitable fertilizers to improve productivity and crop yield. To further enhance its capabilities, we plan to utilize Internet of Things (IoT) technology for monitoring conditions that impact crop growth in time. This addition will contribute to recommendations by providing up to date insights on light conditions affecting crops. In this innovative approach, integrated sensors are utilized to gather soil parameters such as nitrogen, phosphorous, and potassium (NPK), as well as environmental factors which enables the accurate evaluation of soil and crop health. This information is then employed to predict the right crop to be grown, along with the suggestion of the optimal number of fertilizers needed to provide the necessary nutrition for a healthy crop and soil. This DSS system is designed to be user-friendly, with a mobile or web application interface. Hence the current system will be more useful for the farmers with current technology expertise. © 2024 IEEE.

关键词： Decision support systems

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 << < 19 20 21 22 23 24 25 26 27 28 > >>

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：