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

47,429 篇 会议
7,553 篇 期刊文献
324 册 图书

馆藏范围

55,306 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

34,190 篇 工学
- 21,065 篇 计算机科学与技术...
- 17,522 篇 软件工程
- 9,465 篇 信息与通信工程
- 6,309 篇 电子科学与技术（可...
- 6,118 篇 电气工程
- 5,729 篇 控制科学与工程
- 3,117 篇 生物工程
- 2,633 篇 光学工程
- 2,623 篇 生物医学工程（可授...
- 2,281 篇 机械工程
- 2,273 篇 动力工程及工程热...
- 2,147 篇 仪器科学与技术
- 1,679 篇 化学工程与技术
- 1,257 篇 材料科学与工程（可...
- 1,145 篇 安全科学与工程
- 1,072 篇 交通运输工程
17,882 篇 理学
- 9,425 篇 数学
- 5,837 篇 物理学
- 3,394 篇 生物学
- 3,070 篇 统计学（可授理学、...
- 2,213 篇 系统科学
- 1,766 篇 化学
7,302 篇 管理学
- 4,461 篇 管理科学与工程(可...
- 3,148 篇 图书情报与档案管...
- 2,464 篇 工商管理
2,076 篇 医学
- 1,798 篇 临床医学
- 1,674 篇 基础医学(可授医学...
- 1,115 篇 药学(可授医学、理...
1,330 篇 法学
- 1,090 篇 社会学
917 篇 经济学
- 916 篇 应用经济学
594 篇 农学
583 篇 教育学
237 篇 文学
149 篇 军事学
51 篇 艺术学
3 篇 哲学
2 篇 历史学

主题

1,343 篇 accuracy
1,231 篇 computational mo...
1,043 篇 feature extracti...
939 篇 training
731 篇 deep learning
719 篇 computer science
682 篇 real-time system...
648 篇 machine learning
619 篇 predictive model...
608 篇 optimization
506 篇 support vector m...
501 篇 internet of thin...
492 篇 computer archite...
492 篇 data models
437 篇 neural networks
422 篇 convolutional ne...
402 篇 wireless sensor ...
395 篇 reliability
394 篇 bandwidth
383 篇 monitoring

机构

169 篇 dept. of electri...
82 篇 north-west unive...
82 篇 institut univers...
80 篇 national centre ...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
76 篇 institute of inf...
66 篇 università di ca...
62 篇 dept. of electr....
58 篇 dept. of electri...
57 篇 dept. of informa...
56 篇 dept. of compute...
52 篇 dept. of electri...
52 篇 school of automa...
51 篇 leiden universit...
44 篇 dept. of compute...
43 篇 dept. of electri...
42 篇 infn lnf via enr...
42 篇 in2p3 lpc campus...
39 篇 dept. of compute...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
81 篇 chen a.
77 篇 kalekin o.
66 篇 huang f.
65 篇 díaz a.f.
54 篇 boumaaza j.
52 篇 kulikovskiy v.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.
37 篇 androulakis g.
37 篇 coleiro a.
34 篇 de palma m.
34 篇 khatun a.
33 篇 eirini eleni tsi...

语言

52,425 篇 英文
1,972 篇 其他
649 篇 中文
211 篇 朝鲜文
59 篇 日文
4 篇 德文
2 篇 斯洛文尼亚文
1 篇 阿拉伯文
1 篇 法文
1 篇 葡萄牙文
1 篇 土耳其文

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

共 55306 条记录，以下是251-260 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：

Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features

Sparse Oblique Decision Trees: A Tool to Understand and Mani...

引用

KDD Workshop on Human-Interpretable AI 2024, HI-AI 2024

作者： Hada, Suryabhan Singh Carreira-Perpiñán, Miguel Á. Zharmagambetov, Arman LinkedIn Dept. of Computer Science & Engineering University of California Merced United States Dept. of Computer Science & Engineering University of California Merced United States

The widespread deployment of deep nets in practical applications has lead to a growing desire to understand how and why such black-box methods perform prediction. Much work has focused on understanding what part of the input pattern (an image, say) is responsible for a particular class being predicted, and how the input may be manipulated to predict a different class. We focus instead on understanding what internal features computed by the neural net are responsible for a particular class. We achieve this by mimicking part of the net with a decision tree having sparse weight vectors at the nodes. We are able to learn trees that are both highly accurate and interpretable, so they can provide insights into the deep net black box. Further, we show we can easily manipulate the neural net features in order to make the net predict, or not predict, a given class, thus showing that it is possible to carry out adversarial attacks at the level of the features. We demonstrate this robustly in MNIST and ImageNet with LeNet5 and VGG networks. © 2024 Copyright for this paper by its authors.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

Optimizing DC-Stabilized Direct Antenna Modulation Transmitters for electrically-Small Antennas

Optimizing DC-Stabilized Direct Antenna Modulation Transmitt...

引用

2025 United States National Committee of URSI National Radio science Meeting, USNC-URSI NRSM 2025

作者： Mayekar, Miheer P. Dusenbury, Joseph K. Schab, Kurt R. Adams, Jacob J. Dept. of Electrical and Computer Engineering North Carolina State University RaleighNC United States Dept. of Electrical and Computer Engineering Santa Clara University Santa ClaraCA United States

ISBN: (纸本)9781946815200

Linear time-invariant (LTI) electrically small antennas have high radiation quality factors, leading to a challenging tradeoff between efficiency and bandwidth. Bandwidth limitations distort broadband signals, limiting overall data throughput. To circumvent the narrowband limit of LTI antennas, researchers have investigated non-LTI systems. In this paper, we study one time-varying antenna technology called direct antenna modulation (DAM), which is based on storing and releasing energy on a small, capacitive, dipole-like antenna synchronously with an input digital sequence. One challenge in DAM systems is parasitic oscillations that occur when the antenna is switched between states. This ringing significantly influences signal quality in DAM transmitters and leads to spurious radiation. To mitigate the ringing and ensure better transmitted signal quality, the use of an auxiliary DC source was recent proposed to stabilize the parasitic ringing during state transitions. In fact it has been shown that this DC-DAM technique can improve key signal quality metrics like EVM by as much as 10 dB. However, little work has been done to optimize the DC source for best performance in a variety of scenarios. © 2025 USNC-URSI.

关键词： Signal modulation

来源：评论

学校读者我要写书评

暂无评论

Statistical Analysis of the Properties of Geometric Network with Node Mobility 29

Statistical Analysis of the Properties of Geometric Network ...

引用

29th IEEE Asia Pacific Conference on Communications, APCC 2024

作者： Arquam, Md. Tiwari, Utkarsh Kumari, Suchi Iiit Dept. Computer Science and Engineering Haryana Sonepat India Shiv Nadar Institute of Eminence Dept. Computer Science and Engineering Delhi-NCR India

ISBN: (纸本)9798331517816

The movement changes the underlying spatial representation of the participated mobile objects or nodes. In real-world scenarios, such mobile nodes can be part of any biological network, transportation network, social network, human interaction, etc. The change in the geometry leads to the change in various desirable properties of real-world networks, especially in human interaction networks. In real life, human movement is concerned with a better lifestyle where they form their new connections due to the geographical changes. Therefore, in this paper, we design a model for geometric networks with mobile nodes (GNMN) and conduct a comprehensive statistical analysis of their properties. We analyze the effect of node mobility by evaluating key network metrics such as connectivity, node degree distribution, second-hop neighbors, and centrality measures. Through extensive simulations, we observe significant variations in the behavior of geometric networks with mobile nodes. © 2024 IEEE.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

AI-Driven Dynamic Network Slicing for Resource Optimization in 5G Networks: Implementation and Performance Evaluation

AI-Driven Dynamic Network Slicing for Resource Optimization ...

引用

2024 International Conference on Cybernation and Computation, CYBERCOM 2024

作者： Jain, Ayushi Jain, Prateek Verma, Aditya Gopal, Lisa Chaudhary, Preeti Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Scholar Dept. of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798331542344

We introduce in this paper an AI-based dynamic network slicing model for resource allocation targeting 5G networks. It does this by using machine learning algorithms that help the model learn and adapt to live traffic conditions so as to intelligently manage different service types, including eMBB (enhanced Mobile Broadband), URLLC (Ultra-Reliable Low Latency Communication) and mMTC (massive Machine Type Communication). This leads to substantial improvements in three of the four core performance metrics, latency, throughput and energy efficiency (at a low sacrifice of when it comes to QoS adherence). Their work also demonstrates that AI technologies hold the promise for revolutionary network management, offering a scalable solution that can address ever-increasing requirements of next-generation telecommunications, by surpassing the capabilities of well-established static slicing techniques. © 2024 IEEE.

关键词： 5G mobile communication systems

来源：评论

学校读者我要写书评

暂无评论

Evaluation of Self- and Weakly-Supervised Training Strategies for Atlas-Based Segmentation of the Epitympanum Surface in CT Images using DABS-MS

Evaluation of Self- and Weakly-Supervised Training Strategie...

引用

Medical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling

作者： Mason, Hannah G. Noble, Jack H. Dept. of Computer Science Vanderbilt University United States Dept. of Electrical and Computer Engineering Vanderbilt University United States

ISBN: (纸本)9781510685949

Cochlear implants (CIs) are neural prosthetics used to improve hearing performance in patients with severe-to-profound hearing loss. CIs contain an electrode array that is surgically implanted in the patient's cochlea. The position of the array in the cochlea has been shown to be associated with hearing outcomes. In the traditional surgical approach, the surgeon cannot directly visualize the final position of the array in the cochlea. Thus, due to wide variability in cochlear anatomy, the arrays are often poorly positioned. Our lab has previously proposed an augmented reality surgery system for assisting with CI insertion and improving intra-cochlear positioning. The approach relies on preoperative CT-based planning of the procedure as well as 3D to 2D registration of the plan to the monocular microscope video to facilitate augmented reality overlay. Herein, we hypothesize the epitympanum is an ideal anatomical structure to localize in CT and microscopy to facilitate the 3D to 2D registration. We propose and evaluate an atlas-based method of localizing the epitympanum in 3D CT images as the first step of this registration pipeline. This method builds upon our previously proposed DABS-MS framework, a 3D self-supervised U-Net-based network for accurate atlas-based segmentation. We propose a new tissue-based loss function for further improvement. The weakly supervised method achieved median 95th percentile Hausdorff distances of 0.3786 mm on 15 test cases with ground truth and showed significant improvement when compared to the self-supervised method. These results demonstrate the promise of the method for use in augmented reality-assisted cochlear implantation. © 2025 SPIE

关键词： Cochlear implants

来源：评论

学校读者我要写书评

暂无评论

Thin Gold Film Deposited on PDMS for Stretchable electrical Interconnections and Bio-compatible Applications via Textured 3D Printed Mold

Thin Gold Film Deposited on PDMS for Stretchable Electrical ...

引用

2024 International Conference on the Challenges, Opportunities, Innovations and Applications in Electronic Textiles, E-Textiles 2024

作者： Digregorio, Gabriel Redoute, Jean-Michel Montefiore Institute The University of Liège Dept. of Electrical Engineering and Computer Science Liège Belgium

ISBN: (纸本)9783000804298

This study demonstrates that 3D printing significantly enhances the surface roughness of PDMS substrates, leading to a substantial increase in the maximum allowable elongation before a drastic rise in electrical resistance. The PDMS substrates were molded using 3D-printed molds with varying surface treatments to achieve different roughness levels. The untreated samples displayed higher surface roughness, allowing for elongation up to 12.5% before the electrical resistance increased sharply due to the formation of micro-cracks in the gold film. Conversely, smoother surfaces, achieved through ethanol mist treatment, showed higher initial resistance and reduced elongation capacity. This finding underscores the critical role of substrate roughness in stretchable electronics, where optimizing surface characteristics is essential for balancing adhesion and mechanical robustness, thus improving the performance and reliability of bio-compatible and stretchable electrical interconnections. © 2024 Fraunhofer IZM.

关键词： Elongation

来源：评论

学校读者我要写书评

暂无评论

Design and Development of Cognitive Training Systems Based on Extended Reality and BCI Technology 7

Design and Development of Cognitive Training Systems Based o...

引用

7th IEEE Eurasian Conference on Educational Innovation, ECEI 2024

作者： Lin, Pei-Jung Ku, Hsiu-Chien Lin, Li-Lun Feng Chia University Dept. of Information Engineering and Computer Science Taichung Taiwan Hungkuang University Dept. of Computer Science and Information Engineering Taichung Taiwan

ISBN: (纸本)9798350307207

Dementia is considered a Mild Cognitive Impairment (MCI), representing a blurred transition from normal cognitive function to dementia. MCI might be a precursor to dementia being caused by various neurodegenerative diseases, including Alzheimer's disease, stroke, metabolic disorders, and mental health conditions. According to the World Health Organization (WHO), over 55 million people worldwide are suffering from dementia, with nearly 10 million new cases each year. This number is expected to rise to 78 million by 2030. Numerous studies have proposed various training methods targeting specific cognitive domains in dementia. For instance, reminiscence therapy encourages individuals to recall buried memories, while reality orientation therapy focuses on strengthening orientation cues to help patients with dementia establish a stronger sense of control. With aging, changes occur in cognitive and physical functions. Research suggests that memory functions can be improved through training. Therefore, the primary goal of this study was to develop an Extended Reality (XR) cognitive system to assist MCI patients in enhancing logical thinking, increasing independence in daily life, and improving response accuracy. The application of extended reality technology in the medical field is expanding, covering areas such as surgical assistance, medical consultation, disease treatment, and medical training. We integrated mixed reality devices with brain-computer interface (BCI) equipment. By detecting brainwave signals in the frontal region of the brain through sensors, neural activity was quantified, and digital brainwave data was transmitted to the system. This data was then visualized on screen in real-time to analyze changes in brainwave data during training. Through multifaceted task training, the system enhanced cognitive response and sensory perception, stimulating brain activity with the goal of strengthening cognitive functions. © 2024 IEEE.

关键词： Mixed reality

来源：评论

学校读者我要写书评

暂无评论

Data-Enhanced Prediction with Decomposition and Amplitude-Aware Permutation Entropy in Distributed Computing Systems

Data-Enhanced Prediction with Decomposition and Amplitude-Aw...

引用

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

作者： Yuan, Haitao Hu, Qinglong Bi, Jing Zhang, Wei Zhang, Jia Zhou, MengChu School of Automation Science and Electrical Engineering Beihang University Beijing100191 China City University of Hong Kong Dept. of Computer Science 999077 Hong Kong College of Computer Beijing University of Technology Beijing100124 China University of Connecticut Dept. of Computer Science and Engineering StorrsCT06269 United States Southern Methodist University Dept. of Computer Science DallasTX75275 United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9781665410205

In recent years, distributed computing has wit-nessed widespread applications across numerous organizations. Predicting workload and computing resource data can facilitate proactive service operation management, leading to substantial improvements in quality of service and cost efficiency. However, these data often exhibit non-linearity, high volatility, and inter-dependencies across different categories, presenting challenges for accurate forecasting. Consequently, there is a critical need to develop a method that thoroughly and comprehensively analyzes all available data to forecast future trends effectively. This work proposes a novel integrated data-enhanced prediction model named SVI for achieving high-accuracy workload prediction in distributed computing systems. SVI employs the Savitzky-Golay filter and variational mode decomposition for feature processing, whose features are subsequently utilized by Informer for multivariate joint analysis of the enhanced data, achieving high-precision prediction. Ablation and comparative experiments with advanced prediction models are conducted on the Google cluster trace and other typical datasets. Realistic data-driven results indicate that SVI improves the prediction accuracy by 35.4% compared to the original Informer, with each module contributing to the performance enhancement. Furthermore, compared with Autoformer, SVI enhances the prediction accuracy of workload, CPU, and memory by 62.5%, 65.6%, and 69.1 %, respectively. © 2024 IEEE.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

Delay Minimization in UAV-Enabled MEC Networks Using Q-Learning 10

Delay Minimization in UAV-Enabled MEC Networks Using Q-Learn...

引用

10th IEEE World Forum on Internet of Things, WF-IoT 2024

作者： Moiz, Syed Khwaja, Ahmed S. Alnoman, Ali Anpalagan, Alagan Jaseemuddin, Muhammad Toronto Metropolitan University Dept. of Electrical and Computer Engineering Toronto Canada American University of Ras Al Khaimah Dept. of Computer Science and Engineering Ras al Khaimah United Arab Emirates

ISBN: (纸本)9798350373011

Mobile edge computing (MEC) is a promising solution for the ever-increasing computational demands of the ubiquitous Internet of things (IoT) applications. However, efficient resource management algorithms are needed to satisfy the quality-of-service (QoS) requirements of delay-sensitive IoT systems. In this paper, we propose a new Q-learning-based load-balancing resource management (QLLB) algorithm to reduce the computational delay in a MEC system. Unlike existing algorithms, the proposed algorithm optimally assigns tasks to unmanned aerial vehicles (UAVs) considering load balancing, and employs the Q-learning algorithm to achieve efficient CPU usage management at the MEC server level. Results show that the QLLB algorithm exhibits a considerable improvement in the overall performance compared to the baseline and round-robin algorithms. Specifically, under heavy load conditions, we observe a 68% reduction in the total delay and a 75% reduction in the overall algorithm execution time with respect to the baseline algorithm. Furthermore, we observe a 59% improvement in the combined UAV selection and task data transmission delay. © 2024 IEEE.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Approach Using Cryptography and K-Least Significant Bit Steganography Algorithm in Cloud Computing 1

A Hybrid Approach Using Cryptography and K-Least Significant...

引用

1st International Conference on Advances in computer science, electrical, Electronics, and Communication Technologies, CE2CT 2025

作者： Goyal, Anshika Gupta, Bhumika VMSB Uttarakhand Technical University Dept. of Computer Science & Engineering Dehradun India G.B. Pant Institute of Engineering & Technology Dept. of Computer Science & Engineering Pauri India

ISBN: (纸本)9798331518578

The exponential growth of communication technologies has broadened the cloud computing ecosystem horizon to meet main communication needs. However, in-parallel upsurge in online attacks has alarmed industries to ensure optimal data security. The combination of steganography and cryptosystems has been recognized as an enhanced security model for data transfer among the main security systems now in use. In this paper, a hybrid approach using cryptography and K- Least Significant Bit Steganography algorithm in Cloud Computing (HYBC-KLSBS-CC) are proposed. Initially, input text data is retrieved from cloud storage and compressed using Huffman Compression Coding (HCC) to reduce data size. The compressed data is then encrypted with a Hybrid Cryptography Algorithm (Hyb-MRFC-ALC), combining Modified Random Fibonacci Cryptography and Asymmetric Lightweight Cryptography to ensure robust encryption. Finally, encrypted data is embedded within an image using the K-Least Significant Bit (KLSB) steganography technique, providing additional layer of security. The proposed method enhances data confidentiality, integrity, and storage efficiency in cloud environments. The proposed HYBC-KLSBS-CC approach attains 26.89%, 29.49% and 18.64% lower PSNR and 26.89%, 29.49% and 18.64% lower MSE when analyzed through existing techniques like data security dependent on cryptography steganography related with OTP procedure and Huffman coding in the cloud environment (CS-OTP-CE), a novel hybrid cryptographic framework for secure data storage in cloud computing: Integrating AES-OTP and RSA with adaptive key management and Time-Limited access control (AES-OTP-RSA-CC) and Crypto-Stegno dependent model for securing medical information on IOMT platform (CS-SMI-IOMT). © 2025 IEEE.

关键词： Cloud platforms

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 << < 22 23 24 25 26 27 28 29 30 31 > >>

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：