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

46,128 篇 会议
793 册 图书
570 篇 期刊文献
1 篇 学位论文
1 篇 科技报告

馆藏范围

47,493 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

30,679 篇 工学
- 21,003 篇 计算机科学与技术...
- 16,270 篇 软件工程
- 9,315 篇 控制科学与工程
- 5,571 篇 信息与通信工程
- 4,902 篇 电气工程
- 4,581 篇 机械工程
- 2,693 篇 生物工程
- 2,470 篇 电子科学与技术（可...
- 2,290 篇 生物医学工程（可授...
- 2,170 篇 动力工程及工程热...
- 1,964 篇 交通运输工程
- 1,890 篇 仪器科学与技术
- 1,611 篇 光学工程
- 1,561 篇 化学工程与技术
- 1,514 篇 安全科学与工程
- 1,210 篇 土木工程
- 1,066 篇 建筑学
- 1,056 篇 材料科学与工程（可...
12,447 篇 理学
- 6,337 篇 数学
- 3,336 篇 物理学
- 2,992 篇 生物学
- 1,815 篇 系统科学
- 1,719 篇 统计学（可授理学、...
- 1,311 篇 化学
7,400 篇 管理学
- 5,313 篇 管理科学与工程(可...
- 2,404 篇 图书情报与档案管...
- 2,358 篇 工商管理
1,862 篇 医学
- 1,667 篇 临床医学
- 1,515 篇 基础医学(可授医学...
- 1,001 篇 药学(可授医学、理...
1,070 篇 法学
901 篇 经济学
797 篇 农学
656 篇 教育学
167 篇 军事学
67 篇 艺术学
57 篇 文学
4 篇 哲学
3 篇 历史学

主题

1,974 篇 control systems
962 篇 computational mo...
813 篇 real-time system...
807 篇 artificial intel...
790 篇 feature extracti...
742 篇 internet of thin...
719 篇 computer archite...
711 篇 accuracy
710 篇 neural networks
633 篇 intelligent cont...
598 篇 intelligent netw...
594 篇 computer science
586 篇 deep learning
532 篇 intelligent syst...
525 篇 training
522 篇 monitoring
512 篇 computer vision
497 篇 traffic control
456 篇 machine learning
441 篇 predictive model...

机构

73 篇 department of el...
61 篇 lovely professio...
57 篇 maharishi school...
53 篇 school of mechat...
49 篇 chitkara univers...
46 篇 fujian provincia...
43 篇 college of infor...
40 篇 school of comput...
32 篇 school of automa...
32 篇 department of co...
29 篇 college of compu...
29 篇 jilin engineerin...
28 篇 school of contro...
27 篇 school of comput...
26 篇 school of comput...
25 篇 department of el...
25 篇 tula's institute...
25 篇 school of comput...
24 篇 ieee
23 篇 school of comput...

作者

37 篇 wang lei
32 篇 liu yang
30 篇 wang jing
28 篇 wang jian
27 篇 li li
25 篇 zhang lei
24 篇 cui ping
24 篇 li xin
23 篇 rakesh kumar
23 篇 sharma vishnu
21 篇 li yang
21 篇 li rui
20 篇 wang ping
19 篇 yang bo
19 篇 jun zhang
19 篇 liu jun
18 篇 pati bibudhendu
18 篇 li peng
18 篇 wei li
17 篇 kang hee-jun

语言

46,164 篇 英文
971 篇 其他
459 篇 中文
4 篇 法文
1 篇 西班牙文
1 篇 俄文
1 篇 土耳其文

检索条件"任意字段=International Conference on Advances in Intelligent Control and Computer Engineering"

共 47494 条记录，以下是4891-4900 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：

Predictive Analytics in Healthcare: Improving Patient Outcomes 1

Predictive Analytics in Healthcare: Improving Patient Outcom...

引用

1st IEEE international conference on advances in Computing, Communication and Networking, ICAC2N 2024

作者： Kaushik, Priyanka Goyal, Manish Kumar Mehta, Sanskriti Roy, Sharmistha Siddiqui, Abdul Wadood Yadav, Abhishek Chandigarh University Dept. of Comp. Science Engineering Chandigarh India Madhav University Dept. of Pharmaceutical Science Pindwara India University Jharkhand Dept. of Computing & IT Usha Martin India Mangalayatan University Dept. of Pharmacy Aligarh India J.S. University Dept. of Nursing & P.Sciences Shikohabad India

ISBN: (纸本)9798350356816

In healthcare, predictive analytics use significant data to forecast patient reaction, leverage treatment & upgrade the general quality of care. Predictive analytics is based on machine learning combined with statistical approaches that can identify patterns & trends by processing patient data, allowing healthcare providers to take informed action early. This is helpful in discovering diseases at an early stage, helps to develop personalized treatment plans & optimum utilization of available resources. An example could be predictive algorithms that can identify patients at high risk of chronic diseases. Alerts to that effect allow healthcare professionals the ability address potentially problems without exacerbating them, which reduces any potential for subsequent hospital readmission. Furthermore, predictive analysis will help in predicting patient traffic hence managing the staff & inventory control for operational efficiency. While there are many benefits of predictive analytics in healthcare, the use of such predictability can be challenging as it has potential obstacles to overcome - including data privacy barriers & intensive/adapted filling necessitated for any intelligent program into daily workflows. This study aims to investigate the current state of predictive analytics in healthcare, its benefits & challenges that can revolutionize it as a whole to improve patient outcomes simultaneously decreasing costs & inefficiencies. © 2024 IEEE.

关键词： Predictive analytics

来源：评论

学校读者我要写书评

暂无评论

Decentralized Data-driven Optimal control for the Microgrid 14

Decentralized Data-driven Optimal Control for the Microgrid

引用

14th IEEE international conference on Communications, control, and Computing Technologies for Smart Grids, SmartGridComm 2023

作者： Weerasinghe, Kasun Srikantha, Pirathayini York University Department of Electrical Engineering and Computer Science TorontoON Canada

ISBN: (纸本)9781665455541

Recent advances in climate change policies and sustainable energy systems are spurring the widespread deployment of microgrids. The main operational challenge of these systems is the lack of inertia (in islanded mode) that is typically present in the main grid. To preserve the stable operation of the system, efficient control algorithms are necessary. In this paper, we present a novel optimal control algorithm that leverages constructs from machine learning to decouple interactions between various actuating power components in the microgrid. This allows every actuating entity to make control decisions based only on local measurements. As no communication is necessary with our proposed control algorithm, vulnerabilities and delays that are typically associated with communication-based control algorithms are eliminated. Also, in contrast to traditional decentralized techniques (e.g. droop-based) that are myopic in nature, our algorithm allows for the tracking of the original setpoint without any offsets as the global interactions are accounted for by the machine learning component of the proposed algorithm. We demonstrate the performance, stability and scalability of our proposal via practical simulations conducted on a 15-bus microgrid system. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Robustness Analysis and Modeling of UAV Cluster System Based on Complex Network 2

Robustness Analysis and Modeling of UAV Cluster System Based...

引用

2nd international conference on computer Science, Electronic Information engineering and intelligent control Technology, CEI 2022

作者： Chen, Yuxuan Zhang, Haolong Fu, Xin Xu, Jielin China Aerospace Academy of Systems Science and Engineering Beijing China

ISBN: (数字)9781665476164

ISBN: (纸本)9781665476164

For the robustness problem of UAV cluster after being attacked and reconstructed, Firstly, the hive UAV network model is established by complex network method, Then random attacks and targeted attacks are carried out on the model, The method of link reconstruction using the motif degree centrality and other indexes is proposed. Thus, the attack-reconstruction model is constructed. In order to evaluate the effectiveness of the model, a comprehensive evaluation method considering the robustness of complex network indicators and UAV cluster mission performance is proposed. Then, the robustness of UAV cluster network under two attack modes is analyzed. Finally, the simulation results show that this method can quickly judge whether UAV cluster network has robustness. © 2022 IEEE.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Evaluating Electric Vehicle Charging Impacts on Distribution Grid Stability and Efficiency Through Adaptive Load Management Strategies

Evaluating Electric Vehicle Charging Impacts on Distribution...

引用

2025 international conference on intelligent control, Computing and Communications, IC3 2025

作者： Janakiraman, V. Ahmad, Sabbir Revathi, V. Dutt, Amit Rani, K.Pushpa Al-Rubaye, Taqi Mohammed Khattab Bobba, Phaneendra Babu Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India University Polytechnic Jamia Millia Islamia Department of Electronics Engineering F/O Engineering & Tech India New Horizon College of Engineering Department of Applied Sciences Bangalore India Lovely Professional University Phagwara India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India College of Medical Technologies The Islamic University Department of Medical Laboratory Technology Najaf Iraq Griet Department of Eee Telangana Hyderabad India

ISBN: (纸本)9798331527495

The high growth rates of the EV market create complex issues for distribution grids, forcing a detailed examination of grid responses at high rates of EV deployment. This paper seeks to elucidate the effects of EV charging on the distribution grid stability With this, the impact of the pod on voltage fluctuations, line load, and power loss is assessed using the IEEE 37-bus system. Load patterns of EV charging stations are consequently simulated successfully by a number of real and statistically created synthetic data sources, which truly represent averaged fluctuations in load. The study looks at several charging methods of the EV, such as time of use and smart charging, to determine their impact on the grids. Furthermore, the utilization of renewable energy sources for improving the aspects of grid reliability is explored. Regarding performance aspects related to the expansion of widespread EV charging and the efficiency of the applied measures for grid stabilization, the results of this study offer beneficial information. © 2025 IEEE.

关键词： Electric buses

来源：评论

学校读者我要写书评

暂无评论

A Blockchain based solution to manage vehicle documents using QR-Code 6

A Blockchain based solution to manage vehicle documents usin...

引用

6th IEEE international conference on advances in Science and Technology, ICAST 2023

作者： Sankhe, Smita Malhotra, Pooja Siddiqui, Asim Ahmed Shaikh, Ataur Rehman Mulla, Rayyan Khan, Jasir K. J. Somaiya College of Engineering Department of Computer Engineering Mumbai India K. J. Somaiya College of Engineering Department of Information Technology Mumbai India

ISBN: (纸本)9798350359817

Driving became a life-skill with the increase in the number of vehicles on Indian Roads. You need all vehicle-related documents while driving a vehicle on public roads. Traffic Officers will ask you to produce them for verification. Carrying these documents physically is a cumbersome task with a high possibility of documents getting lost or in a poor readable form. Remember the authenticity of these vehicle documents are also debatable. With so many flaws in the current system, there is a need for a system competent of reducing the task of carrying these vehicle documents and also guarantees the authenticity and transparency. As per the Motor Vehicles Act in India, it is mandatory that when driving a vehicle, drivers must carry vehicle-related documents such as Registration Certificate Book, Vehicle Pollution under control (PUC) Certificate, Vehicle Insurance Policy. As a solution, we are proposing a Decentralized Application where drivers can upload and access their vehicle documents details using OCR anywhere, anytime digitally. A Quick Response Code (QR-Code) is used to store URL generated by the vehicle owner by uploading the vehicle documents, which can be later scanned by the Traffic Officer for verification purpose. The application notifies the vehicle owner on expiration of any documents that must be renewed. The application helps in reducing the overhead efforts made by the Traffic officers for vehicle verification. The objective of the system is to digitize all documents, ensure authenticity of documents, eliminate the use of fake documents, manage vehicle documents, reduce the workload and time. © 2023 IEEE.

关键词： Smart contract

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Techniques used in Detecting and Classifying Images of Multi Crop Leaf Diseases 14

Deep Learning Techniques used in Detecting and Classifying I...

引用

14th international conference on advances in Computing, control, and Telecommunication Technologies, ACT 2023

作者： Rasal Reshma, J. Barola, Shivangi Narawade, Vaibhav Computer Enginerring Department Pacific Academy of Higher Education and Research University Udaipur India Computer Science Department Pacific Academy of Higher Education and Research University Udaipur India Computer Engineering Department Ramrao Adik Institute of Technology Navi Mumbai India

Health is very important factor in the life of human beings. Qualitative or healthy food is also playing an important role in healthy human beings. Healthy food which rich in healthy nutrients will get only from healthy crop *** indirectly different crop plants have important role in human beings’ life. We all human beings require food for living our daily life. Food grains production quality and quantity both may affected by bad weather conditions, heavy rain, floods, drought, aridity and plant diseases. We can’t control different bad weather conditions which affect the quantity and quality of crop productions. Skilful farmers rarely notice plants with the opened eye whereas disease, but this method is often indefinite and can take a long time. controlling damaged leaves while crops are developing is a critical step. Early disease identification, categorization and analysis of sick leaves, as well as potential remedies, can boost crop productivity. Farmer understood the importance and use of artificial intelligence in agriculture field. Several machine learning (ML) as well as deep learning (DL) techniques are developed & explore by many researchers, and oftentimes they also got significant results in both cases. By Inspiring those existing work, here this paper studied and compared different deep learning techniques from different researchers for studying further better result in multi crop leaf disease classification and detection. © Grenze Scientific Society, 2023.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Application of MobileNetV2 Architecture to Classification of Knee Osteoarthritis Based on X-ray Images

Application of MobileNetV2 Architecture to Classification of...

引用

2023 international conference on Advanced Mechatronics, intelligent Manufacture and Industrial Automation, ICAMIMIA 2023

作者： Asnidar, Asnidar Ilham, Muhammad Ryan Taufik Hidayat, Muh Kaswar, Andi Baso Mabe P Arenreng, Jumadi Andayani, Dyah Darma Adiba, Fhatiah State University of Makassar Department of Computer Engineering Makassar Indonesia

ISBN: (纸本)9798350309225

Knee osteoarthritis is a health problem in the knee that is experienced by most people and causes difficulty in moving normally. Knee osteoarthritis can be caused by several factors such as age, active smoking, weight, and family history of suffering. However, this is often ignored and taken for granted by some people, although it can be fatal, such as paralysis, owing to decreased cartilage volume. Based on existing problems, a system that can classify knee osteoarthritis is required. Utilizing a convolutional neural network (CNN) to classify X-ray pictures allows us to take use of advances in science in the field of artificial intelligence. Therefore, this study suggests using a convolutional neural network design to classify osteoarthritis in knees based on Xray images. Four research techniques were used in this study: classification of X-ray pictures of the knee, preprocessing, CNN with MobileNetV2 architecture, and X-ray image datasets of the knee. According to research findings, further advancement is still required when classifying knee images in order to detect osteoarthritis disease. Several architectures, including VGG, Dense Net, Inception, MobileNetV2, and CNN, were used, and the accuracy rate for the MobileNetV2 architecture was 94%, with a loss of 24%, and a computation time of 6 minutes. © 2023 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Semantic Web Framework for Automated Smart Assistants in Public Health

Semantic Web Framework for Automated Smart Assistants in Pub...

引用

2025 international conference on intelligent control, Computing and Communications, IC3 2025

作者： Gangavane, Harsha Abirami, R. Hassan, Muntather Muhsin Srinivas, Tummala Keerthana, S. Kaliappan, S. Cmr College of Engineering & Technology Department of Cse Telangana Hyderabad India Sethu Institute of Technology Department of Computer Science Engineering Pulloor Tamil Nadu Kariapatti626115 India College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq Gokaraju Rangaraju Institute of Engineering and Technology Department of Civil Telangana Hyderabad India Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India Lovely Professional University Division of Research and Development Jalandhar - Delhi G.T.Road Punjab Phagwara144411 India

ISBN: (纸本)9798331527495

In reality, the COVID-19 widespread illustrated that information frameworks will play a significant part in giving precise data when it comes to displaying actualities to individuals with shifting foundations and get to to innovation. On the one hand, open wellbeing organizations and organizations are deferring the broad sending of virtual associates due to deterrents and confinements. This article presents Moment Master, an open-source semantic web system that can be utilized to plan and coordinated voice-activated shrewd associates on any online stage, in any case of the space or innovation being utilized. This portion encourages the simple integration of an operable right hand with non-technical space experts' websites, separating the assistant's capacity to tune in and react to voice enlightening. As an enlightening asset for the framework, Moment Master is self-acting when it comes to parsing and handling As often as possible Inquired Questions destinations. It too communicates with a farther information motor to supply ontology-powered induction and the energetic utilization of information. In order to empower the total framework to completely utilize the control of the most up to date web innovations to supply steadfastness and reusability, an exertion is made in this article to saddle the numerous modern specialized breakthroughs. An induction motor for comprehending characteristic dialect interior the system is driven by heuristic strategies and profound learning. An informatory collaborator improvement case consider for COVID-19, based on information from the Centers for Infection control and Anticipation, is advertised to demonstrate the applications and benefits of the system. © 2025 IEEE.

关键词： Chatbots

来源：评论

学校读者我要写书评

暂无评论

EAPD Diagnosis Diagnosis Using AI

EAPD Diagnosis Diagnosis Using AI

引用

2025 international conference on intelligent control, Computing and Communications, IC3 2025

作者： Sruthi, P. Sravanthi, Jajimoggala Renukadevi, M. Balasse, Zayd Raj, Shravanthi Mantra Prithvi Supreeth, B.R. Telangana Hyderabad India Gokaraju Rangaraju Institute of Engineering and Technology Department of Cse Telangana Hyderabad India Sethu Institute of Technology Department of Computer Science Engineering Pulloor Tamil Nadu Kariapatti626115 India College of technical engineering The Islamic University Department of computers Techniques engineering Najaf Iraq Saveetha Medical College and Hospital Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India Oxford Degree and Pg College Department of Computer Science Sir. M. Visveshwaraiah Layout Ullal Bangalore India

ISBN: (纸本)9798331527495

The motivation behind this undertaking is to take a gander at the capability of computerized reasoning (A1) in giving dependable and fast diagnostics to pediatric problems. Pediatric disease determination accurately and speedily are basic for effective therapy and further developed wellbeing outcomes Nevertheless, the intricacies of these signs, as well as the shortage of pediatric specialists, make ID difficult Al has shown fantastic outcomes in different clinical fields, including assessment, treatment, and medicine find This study examines flow progresses in involving Al strategies for pediatric sickness location, evaluating their exactness and efficacy This examination accentuates the limitations and cutoff points of Al techniques, stressing the prerequisite for more innovative work to work on their accuracy and constancy, The exploration contains cases demonstrating the viability of Al in the analysis of pediatric afflictions like leukemia, mental imbalance, and flu. The discoveries propose that Al strategies have a likelihood to further develop finding exactness and immediately, limit botches, and empower brief treatment for pediatric sicknesses. In any case, further review is expected to evaluate the appropriateness of Al methods in certifiable medical services conditions while handling issues like as information quality, interpretability, and moral worries. The paper goes on by proposing possible turn of events and examination ways for Al techniques for the specific finding of pediatric infections, underlining the significance of interdisciplinary coordinated effort and moral issues. © 2025 IEEE.

关键词： Pediatrics

来源：评论

学校读者我要写书评

暂无评论

Research on Fuzzy Iterative Learning control of Pneumatic Artificial Muscle 16th

Research on Fuzzy Iterative Learning Control of Pneumatic Ar...

引用

16th international conference on intelligent Robotics and Applications, ICIRA 2023

作者： Duan, Huiru Xie, Shenglong Liu, Zijing Wan, Yanjian School of Mechanical and Electrical Engineering China Jiliang University Zhejiang Hangzhou310018 China Anhui Engineering Laboratory for Intelligent Applications and Security of Industrial Internet Anhui University of Technology Ma’anshan Anhui243032 China

ISBN: (纸本)9789819964857

In order to achieve high-precision and rapid trajectory tracking control of pneumatic artificial muscle, a fuzzy iterative learning control scheme is proposed. Firstly, based on the traditional iterative control method, an iterative learning control model of pneumatic artificial muscle is established to solve the problem that it is difficult to establish an accurate mathematical model of the pneumatic system. Then, based on the Zadeh inference method, the fuzzy control law of the control system is established, introducing fuzzy control to compensate for iterative learning control and reduce the system error. Finally, the trajectory tracking control of pneumatic artificial muscle is implemented by using iterative learning control and fuzzy iterative learning control respectively. The experimental results show that both iterative learning control and fuzzy iterative learning control can track the desired curve well and maintain convergence, and iterative learning control converges 11.94% faster than fuzzy iterative learning control, but the error fluctuation amplitude of fuzzy iterative learning control is 41.18% smaller than that of iterative learning control, and the stability is better, so that the pneumatic artificial muscle has good performance in trajectory tracking control. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

关键词： Fuzzy control

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 << < 486 487 488 489 490 491 492 493 494 495 > >>

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：