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

53,788 篇 会议
27,587 篇 期刊文献
750 册 图书

馆藏范围

82,125 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

51,220 篇 工学
- 36,952 篇 计算机科学与技术...
- 29,894 篇 软件工程
- 13,989 篇 信息与通信工程
- 8,336 篇 控制科学与工程
- 6,114 篇 电气工程
- 6,006 篇 生物工程
- 5,748 篇 电子科学与技术（可...
- 4,143 篇 生物医学工程（可授...
- 3,815 篇 机械工程
- 3,669 篇 光学工程
- 2,711 篇 仪器科学与技术
- 2,521 篇 动力工程及工程热...
- 2,379 篇 化学工程与技术
- 2,291 篇 网络空间安全
- 2,137 篇 安全科学与工程
- 1,968 篇 交通运输工程
26,826 篇 理学
- 14,394 篇 数学
- 7,374 篇 物理学
- 6,666 篇 生物学
- 4,633 篇 统计学（可授理学、...
- 3,047 篇 系统科学
- 2,503 篇 化学
14,702 篇 管理学
- 9,035 篇 管理科学与工程(可...
- 6,270 篇 图书情报与档案管...
- 3,805 篇 工商管理
4,144 篇 医学
- 3,464 篇 临床医学
- 3,106 篇 基础医学(可授医学...
- 1,873 篇 药学(可授医学、理...
- 1,805 篇 公共卫生与预防医...
2,378 篇 法学
- 1,861 篇 社会学
1,418 篇 经济学
1,171 篇 农学
966 篇 教育学
373 篇 文学
240 篇 军事学
182 篇 艺术学
8 篇 哲学
3 篇 历史学

主题

2,206 篇 feature extracti...
2,084 篇 computer science
1,992 篇 deep learning
1,971 篇 accuracy
1,632 篇 machine learning
1,609 篇 computational mo...
1,566 篇 training
1,225 篇 data mining
1,078 篇 internet of thin...
1,076 篇 support vector m...
1,052 篇 optimization
1,000 篇 predictive model...
891 篇 educational inst...
874 篇 wireless sensor ...
871 篇 semantics
843 篇 artificial intel...
828 篇 real-time system...
802 篇 security
774 篇 neural networks
729 篇 image segmentati...

机构

695 篇 school of comput...
537 篇 school of comput...
476 篇 maharishi school...
354 篇 department of co...
275 篇 department of ph...
258 篇 faculté des scie...
258 篇 department of ph...
256 篇 faculty of scien...
221 篇 departamento de ...
220 篇 department of ph...
217 篇 department of co...
216 篇 physics division...
205 篇 department of ph...
203 篇 school of comput...
197 篇 department of ph...
184 篇 department of ph...
175 篇 college of compu...
168 篇 department for p...
166 篇 department of ph...
162 篇 department of co...

作者

266 篇 c. alexa
266 篇 j. m. izen
266 篇 g. bella
266 篇 j. strandberg
266 篇 d. calvet
266 篇 c. amelung
266 篇 g. spigo
264 篇 f. siegert
263 篇 a. c. könig
261 篇 m. klein
260 篇 h. a. gordon
259 篇 r. ströhmer
251 篇 h. sakamoto
243 篇 y. tayalati
243 篇 m. rijssenbeek
234 篇 niyato dusit
228 篇 s. jin
225 篇 d. guest
201 篇 f. pastore
201 篇 n. orlando

语言

76,164 篇 英文
4,730 篇 其他
1,249 篇 中文
66 篇 日文
13 篇 斯洛文尼亚文
9 篇 德文
9 篇 法文
6 篇 朝鲜文
2 篇 俄文
1 篇 阿拉伯文
1 篇 土耳其文

检索条件"机构=Computer Science Engineering and Information Technology"

共 82125 条记录，以下是4931-4940 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：

Ia-Mstm: Improved Adaptive Moment Estimation Enabled Mixed Attention-Based Long Short-Term Memory For Crop Yield Prediction 3

Ia-Mstm: Improved Adaptive Moment Estimation Enabled Mixed A...

引用

3rd IEEE North Karnataka Subsection Flagship International Conference, NKCon 2024

作者： Vani, B.V. Guruprakash, C.D. Sri Siddhartha Academy of Higher Education Sri Siddhartha Institute of Technology Saraswathipuram Information Science and Engineering Karnataka Tumakuru572105 India Sri Siddhartha Institute of Technology Department Computer Science and Engineering Karnataka Tumakuru572105 India

ISBN: (纸本)9798350364569

Crop yield prediction has sought tremendous attention in recent years several approaches were developed for crop yield prediction. However, these techniques created certain limitations in real-time applications including a reduction in relative errors, and low prediction accuracy. Therefore, this research proposed a deep learning technique known as improved Adaptive Moment estimation enabled mixed attention-based long short-term memory (IA-MSTM) to predict crop yields. The mixed attention techniques combine the advantages of channel attention with the hard attention mechanism (HAM), which can capture long-term dependencies that are crucial for understanding crop growth dynamics over time. Additionally, the improved repeated Loss-based Adam optimizer adapts the learning rate during training, leading to quicker convergence compared to traditional methods. The performance of the IA-MSTM achieves a minimal error value in terms of Mean Absolute Error (MAE) of 2.00 for TP 90. © 2024 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Incentive Mechanism of Selfish Nodes Based on Energy Optimization and Game Theory

Incentive Mechanism of Selfish Nodes Based on Energy Optimiz...

引用

2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Dong, XiangJia Cheng, Yuan Seah, Winston K. G. Zhang, Feng Xu, Gang College of Computer Science Inner Mongolia University Engineering Research Center of Ecological Big Data Ministry of Education Hohhot China School of Engineering & Computer Science Victoria University of Wellington Wellington New Zealand School of Computer and Information Technology Shanxi University Taiyuan China

ISBN: (纸本)9781665410205

With the proliferation of mobile intelligent terminals, opportunistic networks have attracted widespread attention as a complementary technology to multi-network convergence. Different from traditional wireless networks, message delivery in opportunistic networks does not rely on a fixed infrastructure, but rather storing messages in a cache and utilizing the movement and encounters of nodes to relay messages. However, in practical application scenarios, nodes have limited storage space and energy and will easily exhibit selfishness. An increase in the number of selfish nodes will drastically degrade the performance of the network. To solve the problem of significant network performance degradation when the number of selfish nodes is high, this paper proposes an Incentive mechanism of Selfish nodes based on Energy optimization and Game Theory (ISEGT). The mechanism abstracts the process of forwarding messages by nodes into a bargaining game process, and selectively forwards messages based on nodes' remaining energy and other circumstances. The experimental results show that the ISEGT mechanism can motivate selfish nodes to actively participate in message forwarding, which improves the success rate of message delivery and the survival rate of nodes, and optimizes the overall performance of the network. © 2024 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Exploring ChatGPT in Network Management and Monitoring: Benefits and Challenges 2

Exploring ChatGPT in Network Management and Monitoring: Bene...

引用

2nd International Conference on information and Communication technology for Sustainable Development, ICICT4SD 2023

作者： Islam, Muhammad Nazrul Fahim, F.M. Shafiullah Akash, Pritidhrita Paul Arifeen, Kazi Afsana Nahian, Naila Baki, Ramisha Fariha Military Institute of Science and Technology Department of Computer Science and Engineering Dhaka1216 Bangladesh Bangladesh University of Professionals Department of Information Communication Technology Dhaka Bangladesh

ISBN: (纸本)9798350358667

ChatGPT is an AI-based natural language model that has made a significant impact across various technological domains, including software development, network management, and the like. Network monitoring is one of the critical tasks in network management to ensure the proper and safe functioning of the entire network. The primary objective of this research is to explore the potential benefits and challenges associated with using ChatGPT in network management and monitoring. As an outcome, this research has highlighted that ChatGPT offers diverse functionalities in networking, including automation of operations and easy code generation, enabling instant feedback to enhance the quality and accessibility of network management tasks. However, the study also acknowledges the challenges inherent in using ChatGPT. Biased output is identified as a concern that could potentially impact response accuracy and fairness. Additionally, the possibility of errors in the generated output can undermine system reliability and effectiveness. While ChatGPT demonstrates the ability to simulate human-like conversations, it is important to address these challenges promptly for responsible and effective utilization in the domain of computer network. © 2023 IEEE.

关键词： Network management

来源：评论

学校读者我要写书评

暂无评论

Design Principles for Data-Driven Decision Evaluation

Design Principles for Data-Driven Decision Evaluation

引用

2023 International Conference on ENTERprise information Systems, CENTERIS 2023 - International Conference on Project MANagement, ProjMAN 2023 - International Conference on Health and Social Care information Systems and Technologies, HCist 2023

作者： Elgendy, Nada Paivarinta, Tero Elragal, Ahmed Hannula, Karoliina Puolitaival, Kaisa M3S Faculty of Information Technology and Electrical Engineering University of Oulu Finland Department of Computer Science Electrical and Space Engineering Luleå University of Technology Sweden Antell Oulu Finland

Human-machine collaboration has potentially led to higher quality and more informed data-driven decisions. However, evaluating these decisions is necessary to measure the benefits, as well as enable experiential learning and posterior rationalization of the results and consequences. Nevertheless, the multiplicity of human-machine collaboration modes, as well as the multi-faceted nature of data-driven decisions complicates evaluation, and evaluation solutions are lacking both in research and in practice. This is further reflected in the complexity of incorporating evaluation in the design of such data-driven decision making systems, since developers are left without theoretically grounded and practically feasible principles to guide implementation. In this paper, we propose a set of five design principles, explicated from theory and practice, for systems implementing data-driven decision evaluation as the output of design science research cycles. The design principles are: 1) multi-faceted evaluation criteria, 2) unified viewpoint, 3) collaborative rationality, 4) processual ex-post evaluation, and 5) adaptive feedback and learning loops. They are further contextualized in the case of AI-enabled menu design at Antell, an innovative pioneer in the restaurant business in Finland, and consequently evaluated by the development managers of the project. Accordingly, the design principles contribute to the knowledge base on metahuman systems and data-driven decision evaluation, by concretizing existing normative concepts into prescriptive knowledge, also guiding future research and generalizing towards a design theory. Furthermore, they provide implementable statements for designing and developing such systems in practice and can be used as a checklist to compare and evaluate existing systems. © 2024 The Author(s).

关键词： Man machine systems

来源：评论

学校读者我要写书评

暂无评论

Speech Emotion Recognition based on Semi-Supervised Adversarial Variational Autoencoder 10

Speech Emotion Recognition based on Semi-Supervised Adversar...

引用

10th IEEE International Conference on Cyber Security and Cloud Computing and 9th IEEE International Conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Xiao, Yufeng Bo, Yuqin Zheng, Zhiling Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan China Hunan Industry Polytechnic Information Center Changsha China

ISBN: (纸本)9798350312461

The application of semi-supervised learning in the field of speech emotion recognition can alleviate the problem of dependence on the amount of labeled data. Its core assumption is that the labeled and unlabeled data have the same feature representations, which determine the performance of the models. Therefore, this paper proposes a novel speech emotion recognition model based on semi-supervised adversarial variational autoencoding (SSAVAE), which reaps the advantages of generative adversarial network(GAN) and variational autoencoding(VAE) to learn the distribution of input data in the feature space. On the one hand, it can overcome the disturbance of the input data through learning the distribution of the input data in the feature space. On the other hand, it can approximate arbitrary feature distribution by introducing GAN. Concretely, SSAVAE considers the unlabeled data as the problem of the lack of emotional label attributes. The labeled data share the category information with the unlabeled data in the feature space. Several experiments are conducted on the FAU Aibo dataset to evaluate the effectiveness of the algorithm. The results show that the proposed method is superior to other benchmark algorithms and has strong feature learning capabilities. © 2023 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

A Leaky-Wave Beam Scanning Antenna with PIN Diodes 7

A Leaky-Wave Beam Scanning Antenna with PIN Diodes

引用

7th IEEE International Conference on Electronic information and Communication technology, ICEICT 2024

作者： Xiao, Gengbo Feng, Botao Ding, Xiao Deng, Li Chung, Kwok L. Gu, Wenzhe Shenzhen University College of Electronics and Information Engineering Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts Macau999078 China Beijing University of Posts and Telecommunications College of Information and Communication Engineering Beijing China Huizhou University School of Computer Science and Engineering Huizhou516007 China Huizhou University School of Computer Science and Engineering Huizhou516007 China

ISBN: (纸本)9798350384437

In this paper, a reconfigurable digital modulation leaky-wave antenna (LWA) is proposed. This antenna does not require additional ADC/DAC modules and mixing circuits, which simplifies the antenna structure design. By introducing diodes, the proposed antenna realizes digital beam scanning and digital modulation of the leaky-wave. By inputting different digital codes, the multi-beam switching functionality is achieved, thereby realizing the purpose of beam reconfigurability. A low-cost and easy-to-manufacture metasurface radiator is fabricated, which can achieve the leaky-wave radiation effect. In summary, the proposed antenna is a promising candidate for realizing beam reconfigurability in future intelligent wireless communications. © 2024 IEEE.

关键词： Scanning antennas

来源：评论

学校读者我要写书评

暂无评论

Online Retail Customer Segmentation using RFM Quantiles and Clustering Technique 4

Online Retail Customer Segmentation using RFM Quantiles and ...

引用

4th International Conference on computer, Communication, Control and information technology, C3IT 2024

作者： Majilya, Mouli Maji, Giridhar Ghosh, Partha Sen, Soumya A.K.Choudhury School of Information Technology University of Calcutta Kolkata India Asansol Polytechnic Department of Electrical Engineering Asansol India Academy of Technology Department of Computer Science and Engineering Adisaptagram India

ISBN: (纸本)9798350389128

In the fiercely competitive landscape of modern business, making effective decisions is imperative for generating substantial revenue. With organizations employing diverse strategies to stay ahead, leveraging data for informed decision-making is crucial. Understanding individual preferences and purchasing behaviors can be challenging, but machine learning techniques offer a solution by organizing and analyzing vast datasets. Customer segmentation, particularly through K-means clustering, is instrumental in identifying target groups with similar attributes and interests. The present study focuses on customer clustering method-ologies to give businesses a competitive edge. By collecting, analyzing, and visualizing customer data, we aim to develop a data science model that utilizes K-means clustering and the RFM model (Recency, Frequency, Monetary) for existing customers. Utilizing the UK's e-commerce dataset, which delves into customer purchasing behaviors, we aim to group customers into clusters such as high-value customers, mid-range, and those at risk of churn based on RFM scores. © 2024 IEEE.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Robotic Process Automation (RPA): A software bot for healthcare sector

Robotic Process Automation (RPA): A software bot for healthc...

引用

2023 IEEE International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics, ICIITCEE 2023

作者： Bindiya, A.J. Anitha, N. Indumathi, S. East Point College of Engineering and Technology Dept of Information Science & Engg Bengaluru India BNM Institute of Technology Dept of Computer Science & Engg Bengaluru India

ISBN: (纸本)9781665462631

Nowadays different corporate sectors in the world want all digital works done by human to be automated and done very quickly. Here comes Robotic Process Automation (RPA) technology which helps in building software robots called digital bots which mimics and integrates works of human that he does sitting with digital system. So in the current paper we are presenting tasks performed in health care division using software bots. One use case is claiming insurance, here our software robot will open web form, bot fills all needed insurance details collected and stored in electronic media (excel sheet) already, submitting the form once data entry done, repeat the same task for another patient. Second use case is collecting day-wise critical patient information which are received through chat-bots and processing patients details which are found critical. Work finishes within fractions of seconds without human intervention. © 2023 IEEE.

关键词： Robotics

来源：评论

学校读者我要写书评

暂无评论

Automatic Detection of Some Tajweed Rules 20

Automatic Detection of Some Tajweed Rules

引用

20th International Learning and technology Conference, L and T 2023

作者： Omran, Dahlia Fawzi, Sahar Kandil, Ahmed Cairo University Systems and Biomedical Engineering Faculty of Engineering Giza Egypt Nile University Information Technology & Computer Science Giza Egypt

ISBN: (纸本)9798350300307

correct understanding of the Holy Quran is an essential duty for all Muslims. Tajweed rules guide the reciter to perform Holy Quran reading exactly as it was uttered by Prophet Muhammad peace be upon him. This work focused on the recognition of one Quranic recitation rule. Qalqalah rule is applied to five letters of the Arabic Alphabet (Baa/Daal/Jeem/Qaaf/Taa) having sukun vowelization. The proposed system used the Mel Frequency Cepstral Coefficients (MFCC) as the feature extraction technique, and the Convolutional Neural Networks (CNN) model was used for recognition. The available dataset consists of 3322 audio samples from different surahs of the Quran for four professional readers (Sheihk) AlHussary, AlMinshawy, Abdel Baset, and Ayman Swayed. The best results were gained using Ayman Swayed audio samples with a validation accuracy of 90.8%. © 2023 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Advanced Analytics for Proactive Cybersecurity Breach Prediction and Prevention 4

Advanced Analytics for Proactive Cybersecurity Breach Predic...

引用

4th International Conference on Power, Energy, Control and Transmission Systems, ICPECTS 2024

作者： Pathmanaban, J. Sangeetha, S. Harini, A. Pavithra, S. Hemasri, P. Sri Sairam Institute of Technology Dept of Computer Science and Engineering Chennai India Veltech Multitech Dr.Rangarajan Dr.Sakunthala Engineering College Dept of Information Technology Chennai India

ISBN: (数字)9798331508845

ISBN: (纸本)9798331508845

As technology advances, so do the potential risks and security threats associated with it. It's crucial to prioritize and invest in cybersecurity measures to safeguard these advancements. Balancing innovation with robust security measures is essential for staying proactive and implementing security protocols by this we can mitigate the risks and ensure a safer digital future. This project focuses on the development of a predictive model for cyber-attack detection on servers. Leveraging advanced analytics and machine learning techniques, the system aims to proactively identify potential security breaches before they manifest. This involves the analysis of server logs, network traffic, and anomaly behaviour to create a robust predictive model. Various types of Cyberattacks which include DDOS, PROBE, U2R, and R2L attacks. In this, we use the RNN algorithm for classification and training in order to improve the efficiency of IDS detection. © 2024 IEEE.

关键词： Cyber attacks

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 << < 490 491 492 493 494 495 496 497 498 499 > >>

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：