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

11,734 篇 会议
121 篇 期刊文献
18 册 图书
1 篇 学位论文

馆藏范围

11,874 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

8,292 篇 工学
- 6,672 篇 计算机科学与技术...
- 4,205 篇 软件工程
- 1,734 篇 控制科学与工程
- 1,501 篇 信息与通信工程
- 1,423 篇 电气工程
- 1,151 篇 生物工程
- 625 篇 机械工程
- 534 篇 生物医学工程（可授...
- 434 篇 交通运输工程
- 397 篇 动力工程及工程热...
- 395 篇 电子科学与技术（可...
- 374 篇 光学工程
- 330 篇 网络空间安全
- 320 篇 石油与天然气工程
- 297 篇 安全科学与工程
- 239 篇 仪器科学与技术
3,520 篇 理学
- 2,157 篇 数学
- 1,228 篇 生物学
- 576 篇 物理学
- 575 篇 统计学（可授理学、...
- 406 篇 系统科学
- 266 篇 化学
2,086 篇 管理学
- 1,412 篇 管理科学与工程(可...
- 775 篇 图书情报与档案管...
- 597 篇 工商管理
662 篇 医学
- 485 篇 临床医学
- 425 篇 基础医学(可授医学...
- 299 篇 药学(可授医学、理...
- 267 篇 公共卫生与预防医...
431 篇 教育学
- 426 篇 教育学
225 篇 法学
211 篇 经济学
179 篇 农学
16 篇 文学
16 篇 军事学
15 篇 艺术学
2 篇 哲学

主题

890 篇 deep learning
809 篇 machine learning
711 篇 optimization
401 篇 accuracy
321 篇 reinforcement le...
279 篇 feature extracti...
228 篇 support vector m...
222 篇 computational mo...
219 篇 predictive model...
211 篇 training
200 篇 real-time system...
184 篇 neural networks
179 篇 particle swarm o...
162 篇 genetic algorith...
159 篇 data mining
151 篇 internet of thin...
149 篇 learning systems
149 篇 artificial intel...
142 篇 machine learning...
136 篇 data models

机构

60 篇 chitkara univers...
15 篇 school of comput...
15 篇 beijing universi...
14 篇 national univers...
14 篇 the islamic univ...
12 篇 tianjin universi...
12 篇 uttaranchal inst...
12 篇 national univers...
12 篇 weifang engineer...
11 篇 college of techn...
11 篇 misr internation...
11 篇 beijing institut...
10 篇 pune
10 篇 bengaluru
10 篇 uttaranchal univ...
10 篇 school of comput...
10 篇 school of comput...
9 篇 phaethon centre ...
9 篇 maharishi school...
9 篇 school of electr...

作者

17 篇 hassanien aboul ...
16 篇 lima jose
12 篇 wang lei
12 篇 yang bo
12 篇 li bo
11 篇 pereira ana i.
11 篇 wang wei
10 篇 malik bader alaz...
10 篇 liu yan
10 篇 chen xin
9 篇 li yan
8 篇 li xin
8 篇 li yang
8 篇 wang jing
8 篇 li li
8 篇 zhang chao
8 篇 liu yang
8 篇 li hao
8 篇 li xiang
7 篇 nagaraj p.

语言

10,996 篇 英文
849 篇 其他
64 篇 中文
2 篇 西班牙文

检索条件"任意字段=3rd Conference on Learning and Intelligent Optimization"

共 11874 条记录，以下是1-10 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：

3rd International conference on Smart and intelligent learning for Information optimization, CONSILIO 2021

3rd International Conference on Smart and Intelligent Learni...

引用

3rd International conference on Smart and intelligent learning for Information optimization, CONSILIO 2021

The proceedings contain 37 papers. The topics discussed include: wavelet tree ensembles with machine learning and its classification;energy efficient NoC design through supervised machine learning;design and development of novel ensemble classifier for visual sentiment analysis;applying SWOT for B2B decisions, extension to larger data with machine learning regression;realization of low cost footwear integrated step-counting device for health monitoring system;assessment of optimizers impact on image recognition with convolutional neural network to adversarial datasets;efficient construction of successive cancellation decoding of polar codes using logistic regression algorithm;prediction accuracy model aiming to improve prediction accuracy in congenital heart anomaly detection using hybrid feature selection with modified particle swarm optimization approach;and mutual information-based optimum metrics identification in symmetry-based brain abnormality detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Machine learning, Cloud Computing and intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

引用

3rd International conference on Machine learning, Cloud Computing and intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819616978

The proceedings contain 27 papers. The special focus in this conference is on Machine learning, Cloud Computing and intelligent Mining. The topics include: Decentralized Optimal Tracking Control of MRMs Under Health Indicator-Based Event-Triggered Mechanism;iterative learning Control for Nonlinear Switched Continuous-Time Systems with Time-Varying Delay;Model Migration and Joint Communication and Computing Resource Allocation in Native AI Wireless Networks;FTB-RRP Control for 2-D Continuous-Discrete Systems in Roesser Model;Optimal UAVs Placement for TDOA Localization Method Based On An Improved Grey Wolf optimization Algorithm;A Bat-BP optimization Algorithm Based System of Dry Ice Decontamination for UAV;Optimal Resource Allocation Algorithm for Multi-user AI Tasks in Native AI Networks;study on Non-intrusive Load Monitoring Method Based on K-means Clustering and Dual Convolutional Neural Networks;research and Application of Computer Vision and Predictive Maintenance in Health Management of Conveying Equipment;attitude Stabilization Control for Unmanned Aerial Vehicle with Robotic Arm Based on Fixed-Time Observer Active Disturbance Rejection Control;state Estimation and Control of Switched Neural Networks with Mode-Dependent Hybrid Dwell Time;Distributed Consensus Control Research of Unmanned Aerial Vehicle (UAV) Swarms Based on Lennard-Jones Potential;lifetime Prediction of Fuel Cell Composite Operating Conditions Based on Genetic Algorithm Optimized Elman Neural Network;a Tiered Native Digital Twin for Telco Networks;defender: The Possibility of Repairing Jailbreak Defects;research on Special Vision Recognition and Fault Alarm System for Vertical Roller;malicious Traffic Classification Algorithm Based on Multimodal Fusion;Enhanced Affine Formation Control in Multi-agent Systems with Disturbance Rejection Using RISE Controller;model Predictive Control for Contour Control in Biaxial System.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Machine learning, Cloud Computing and intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

引用

3rd International conference on Machine learning, Cloud Computing and intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819624676

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd International conference on Machine learning, Cloud Computing and intelligent Mining, MLCCIM 2024

3rd International Conference on Machine Learning, Cloud Comp...

引用

3rd International conference on Machine learning, Cloud Computing and intelligent Mining, MLCCIM 2024

ISBN: (纸本)9789819616930

关键词：

来源：评论

学校读者我要写书评

暂无评论

Synergistic Integration of Blockchain Technology and Machine learning Algorithms for optimization of Agriculture Supply Chain Management 3

Synergistic Integration of Blockchain Technology and Machine...

引用

3rd International conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Asalkar, Gayatri Sahane, Prema Pedde, Atharv Hapse, Samarth Ghondage, Tejas Bhosale, Krishna Department Of Computer Engineering JSPM's Rajarshi Shahu College of Engineering Maharashtra Pune411033 India

ISBN: (纸本)9798331527549

This research study focuses on the discussion of blockchain and machine learning optimization in the conventional agricultural supply chain. optimization of both rising technologies has the possibility of addressing some of the complex and entrenched issues that confront the agricultural industry while receiving calls for more openness, honesty, and productivity. Blockchain, being the technological application that is based on secure and transparent transactions and enables the assurance of immutability and Machine learning as a data driven power in optimization, leads to a significantly better traceability, erased inefficiencies, less substances and time to market. It is however not entirely without some few challenges that will have to be overcome for all these innovations to come into their own. Among the obstacles that need to be overcome for realization of these innovations some of the critical ones are Technology and Data issues and Stakeholder issues. © 2025 IEEE.

关键词： Blockchain immutability Machine learning optimization traceability

来源：评论

学校读者我要写书评

暂无评论

Accident Avoidance in Driverless Car using Deep learning Algorithms 3

Accident Avoidance in Driverless Car using Deep Learning Alg...

引用

3rd International conference on intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Babitha, S. Gowtham, N. Sripadarajan, H. Don Bosco Institute of Technology Department of Ece Bengaluru India

ISBN: (纸本)9798331515911

This abstract presents a ground breaking paradigm for accident mitigation in autonomous vehicles through the utilization of Raspberry Pi and deep learning methodologies. By synergistically amalgamating cost-effective hardware and sophisticated AI techniques, the system empowers real-time object detection and recognition, thereby augmenting the vehicle's capacity to pre-emptively avert collisions. The efficacy of this system is meticulously assessed through meticulous simulations and rigorous real-world experimentation, thereby substantiating its efficacy in bolstering safety measures. Noteworthy challenges encompassing the procurement of comprehensive training datasets, computationally intensive requirements, and real-time optimization are duly acknowledged. © 2025 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

Early Detection of Breast Cancer Recurrence using Machine learning for Improved Patient Outcomes 3

Early Detection of Breast Cancer Recurrence using Machine Le...

引用

3rd International conference on intelligent and Innovative Technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Hugar, Suvarna Sangeetha, V. Reva University School of Computing & Information Technology Bangalore India Ramaiah Institute of Technology Department of Cse Bangalore India

ISBN: (纸本)9798331515911

Breast Cancer is most significant disease of death for women in the world, early identification is very essential. In order to enhance the precision and dependability of Breast Cancer recurrences diagnosis, this study investigates the application of several machine learning techniques, such as Support Vector Machine, Genetic techniques, and Voting Classifier. The prior goal of the proposed recurrence diagnosis model is to combine Voting Classifier with Genetic algorithm to overcome the challenges with machine learning algorithm prediction. The hybrid model (GA+VC) can improve performance through a collective decision-making process. Hyperparameters such as kernel functions for SVM are optimized to maximize model performance. In this paper, the study explores the Sand cat swarm optimization (SCSO) with SVM gives higher accuracy in recurrence diagnosis. The result obtained indicate that recurrence model gives higher accuracy of 90%. The results with the optimization SCSO with SVM providing insights into the trade-off between detecting true positives (malignant cases) and minimizing false positives. © 2025 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Model for Parameter Tuning using SSO and CNN 3

A Hybrid Model for Parameter Tuning using SSO and CNN

引用

3rd International conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Patidar, Anil Bandhu, Kailash Chandra Department of Computer Applications Medi-Caps University Indore India Department of Computer Science and Engineering Medi-Caps University Indore India

ISBN: (纸本)9798331527549

Social Spider optimization (SSO) and Particle Swarm optimization (PSO) algorithms applied to Intrusion Detection Systems (IDS) across small and large datasets. The study aims to evaluate and compare both PSO and SSO and find best optimal parameters in order to improve the accuracy of IDS. Additionally, the SSO algorithm find the best hyperparameter settings which are kernel, filter, padding, learning rate, and stride to achieve optimal results that directly impact IDS security. The evaluation of algorithms in terms of accuracy, precision, recall, F1 score, and AUC score. Results indicate that, on small datasets, PSO comes under overfitting but not SSO. Even on larger datasets, SSO crosses PSO significantly in terms of accuracy. This finding shows the importance of improvement in scalability, efficiency, and robustness of IDS with help of Social Spider optimization (SSO). © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

来源：评论

学校读者我要写书评

暂无评论

3rd World conference on intelligent and 3D Technologies, WCI3DT 2024

3rd World Conference on Intelligent and 3D Technologies, WCI...

引用

3rd World conference on intelligent and 3D Technologies, WCI3DT 2024

ISBN: (纸本)9789819791231

The proceedings contain 45 papers. The special focus in this conference is on intelligent and 3D Technologies. The topics include: Multi-scale Point Cloud Shape Completion Network Based on Deep learning;research on Application and Effect Evaluation of Product Innovation Management Based on Deep learning;study on Deep learning-Based Personalised Product Recommendation Model for Autonomous Question-and-Answer Robot;application of Image Watermarking Technology Based on Deep learning in Copyright Protection;research on the Combination of Building Structural Health Monitoring and Deep learning Image Processing;electrical Equipment Prediction in a Variable Electromagnetic Field Using Deep learning;state Monitoring and Fault Prediction of Wind Farm Transmission and Transformation Equipment Based on Deep learning;application of Deep learning Algorithms in the Innovation Ecosystem of Electric Power;optimization Strategy for Inventory Management Based on Machine learning;intelligent Design and Evaluation of Aging Adaptable Public Spaces Based on Deep learning;performance optimization and Acceleration of Machine learning Algorithms in Task Allocation of Mine Maintenance Robots;Application of Deep learning to Improve the Performance of Automotive Electronic Control Unit (ECU);deep learning-Based Scene Classification for Remote Sensing Images;Improved Swarm Intelligence optimization Algorithm Based on SL-Relu Activation Function Improvement Strategy and Its Application in Price Forecasting;Automatic Segmentation of Traumatic Penumbra in Rat Brain Based on Improved UNet++;A Brain Tumor Classification Method Based on ResNeXt-SESA Network;A LSTM Algorithm for Coastal City Cultural Scene Value Sustainable Development Forecast Improvement;pattern Recognition in Archive Analysis Using Data Mining;building Crack Detection Method Based on Convolutional Neural Network.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd World conference on intelligent and 3D Technologies, WCI3DT 2024

3rd World Conference on Intelligent and 3D Technologies, WCI...

引用

3rd World conference on intelligent and 3D Technologies, WCI3DT 2024

ISBN: (纸本)9789819791279

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 << < 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：