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

2,665 篇 会议
2,066 篇 期刊文献
65 册 图书

馆藏范围

4,796 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,681 篇 工学
- 1,339 篇 计算机科学与技术...
- 1,020 篇 软件工程
- 733 篇 信息与通信工程
- 629 篇 电子科学与技术（可...
- 628 篇 电气工程
- 472 篇 控制科学与工程
- 285 篇 生物医学工程（可授...
- 254 篇 光学工程
- 254 篇 生物工程
- 243 篇 仪器科学与技术
- 228 篇 化学工程与技术
- 214 篇 机械工程
- 210 篇 核科学与技术
- 209 篇 动力工程及工程热...
- 149 篇 材料科学与工程（可...
- 130 篇 网络空间安全
- 100 篇 安全科学与工程
- 94 篇 交通运输工程
1,933 篇 理学
- 1,146 篇 物理学
- 627 篇 数学
- 285 篇 生物学
- 275 篇 化学
- 187 篇 统计学（可授理学、...
- 135 篇 系统科学
514 篇 管理学
- 372 篇 管理科学与工程(可...
- 156 篇 图书情报与档案管...
- 150 篇 工商管理
277 篇 医学
- 220 篇 临床医学
- 180 篇 基础医学(可授医学...
- 124 篇 药学(可授医学、理...
73 篇 经济学
64 篇 法学
39 篇 教育学
39 篇 农学
11 篇 文学
11 篇 军事学
4 篇 艺术学

主题

158 篇 hadron colliders
110 篇 accuracy
97 篇 deep learning
93 篇 artificial intel...
89 篇 internet of thin...
88 篇 feature extracti...
86 篇 machine learning
84 篇 optimization
78 篇 real-time system...
60 篇 higgs bosons
60 篇 predictive model...
52 篇 computational mo...
48 篇 training
45 篇 w & z bosons
44 篇 convolutional ne...
43 篇 wireless sensor ...
41 篇 computational in...
41 篇 costs
41 篇 security
41 篇 mathematical mod...

机构

434 篇 department of ph...
402 篇 cavendish labora...
276 篇 department for p...
270 篇 infn e laborator...
263 篇 west university ...
260 篇 oliver lodge lab...
245 篇 physikalisches i...
235 篇 institute of phy...
227 篇 institute of phy...
224 篇 department of mo...
224 篇 school of physic...
222 篇 yerevan physics ...
217 篇 faculty of scien...
217 篇 infn sezione di ...
215 篇 department of ph...
213 篇 irfu cea univers...
212 篇 infn sezione di ...
210 篇 department of ph...
194 篇 kirchhoff-instit...
193 篇 department of ph...

作者

185 篇 m. lu
161 篇 c. alexa
157 篇 j. m. izen
156 篇 g. bella
156 篇 c. amelung
154 篇 d. calvet
152 篇 j. strandberg
148 篇 n. orlando
140 篇 y. tayalati
137 篇 g. spigo
135 篇 v. chiarella
132 篇 f. siegert
131 篇 b. konya
129 篇 s. veneziano
128 篇 a. dimitrievska
127 篇 f. deliot
123 篇 y. abulaiti
122 篇 r. ströhmer
121 篇 a. grummer
120 篇 t. pham

语言

4,482 篇 英文
260 篇 其他
37 篇 中文
14 篇 日文
2 篇 德文
2 篇 法文
1 篇 阿拉伯文
1 篇 荷兰文

检索条件"机构=Faculty of Electronics and Computer Technology and Engineering"

共 4796 条记录，以下是1071-1080 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：

Hybrid Machine Learning Approach for Enhanced Vulnerability Detection in Cloud Environments Using NIST and MITRE Frameworks

Hybrid Machine Learning Approach for Enhanced Vulnerability ...

引用

Advanced Research in Computing (ICARC), International Conference on

作者： N W Chanaka Lasantha M W P Maduranga Ruvan Abeysekara Valmik Tilwari Nilotpal Chakraborty Debashree Sharma Faculty of Graduate Studies IIC University of Technology Phnom Penh Cambodia Department of Electrical and Electronic Engineering University of Sri Jayewardenepura Nugegoda Sri Lanka Faculty of Computing BCAS Campus Colombo Sri Lanka Department. of Electronics & Communication Engineering Indian Institute of Information Technology Guwahati India Department of Computer Science Engineering Indian Institute of Information Technology Guwahati India Department of Electronics & Communication Engineering Indian Institute of Information Technology Guwahati India

ISBN: (数字)9798331530983

ISBN: (纸本)9798331530990

Cloud security is challenged by constant adaptive cyber threats and traditional detection methods lack real time adaptability. In this paper, we propose a new hybrid ML approach stitching data from National Institute of Standards and technology (NIST) and MITRE Adversarial Tactics, Techniques and Common Knowledge (ATT&CK) databases together. In contrast to existing methods, this framework combines, in unique and unprecedented fashion, ensemble ML models and Realtime data processing for increased detection accuracy and reduced false positives. This approach addresses specific challenges in the cloud environments and by leveraging standardised frameworks, it offers actionable audiences for efficient and effective vulnerability management process. The framework is validated by the experimental results which prove its robustness to evolution of the cybersecurity demands.

关键词： Adaptation models Accuracy Cloud computing security Scalability NIST Transformers Data models Threat assessment Robustness Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Safeguarding Cryptocurrency Transactions: Leveraging Blockchain and Machine Learning for Enhanced Financial Security 1

引用

3rd International Conference on Mechanical and Energy Technologies, ICMET 2023

作者： Mishra, Sunil Selvasundaram, K. Mohan, Chinnem Rama Raman, P. Bukhari, Syed Nisar Hussain Sisodia, Dharini Raje Department of Management Studies Medi-Caps University MP Indore India Department of Commerce CSAF Faculty of Science and Humanities SRM Institute of Science and Technology Kattankulathur Chengalpattu Tamil Nadu Chennai603203 India Department of Computer Science and Engineering Narayana Engineering College AP Nellore524004 India Department of MBA Panimalar Engineering College Tamil Nadu Chennai India National Institute of Electronics and Information Technology NIELIT Srinagar Jammu & Kashmir Srinagar India BFSI Symbiosis University MP Indore India

ISBN: (数字)9789819727162

ISBN: (纸本)9789819727155

Blockchain technology was developed for Bitcoin, the most well-known cryptocurrency. A cryptocurrency is a form of virtual money that controls the creation of new units of currency and verifies transactions using encryption techniques. Blockchain is a cutting-edge technology that enables safe data processing and exchange via erratic networks. The history of blockchains is covered at the outset of this article. We present some of the key ideas behind this novel technique. Next, we address machine learning as a sophisticated method that may be used for the analysis of large datasets and the eventual detection of potentially harmful transactions that could take place in an untrusted network. We demonstrate the significance of these clever approaches when combined to produce sound financial and banking judgments. We implement our concept on the Bitcoin network by using the publicly accessible Elliptic dataset on Kaggle. Since the latter is not fully labeled, we first divide the unlabeled data into two primary groups using the k-means algorithm, followed by allocating the labeled data to the relevant clusters. Following that, the entire data set is classified using four machine learning approaches. For instance, the suggested method performs better when k-means and the random forest classifier are combined. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Blockchain

来源：评论

学校读者我要写书评

暂无评论

From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks

From Federated Learning to Quantum Federated Learning for Sp...

引用

2024 IEEE Conference on Standards for Communications and Networking, CSCN 2024

作者： Quy, Vu Khanh Quy, Nguyen Minh Hoai, Tran Thi Shaon, Shaba Uddin, Md Raihan Nguyen, Tien Nguyen, Dinh C. Kaushik, Aryan Chatzimisios, Periklis Hung Yen University of Technology and Education Faculty of Information Technology Hung Yen Viet Nam University of Tasmania College of Sciences and Engineering Sandy Bay HobartTAS7001 Australia University of Alabama in Huntsville Department of Electrical and Computer Engineering United States Lac Hong University Department of Electrical and Electronics Engineering Viet Nam Manchester Metropolitan University Department of Computing & Mathematics United Kingdom International Hellenic University Thessaloniki Greece University of New Mexico AlbuquerqueNM United States

ISBN: (纸本)9798331507428

6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks. As a core partition of future 6G networks, Space-Air-Ground Integrated Networks (SAGIN) have been envisioned to provide countless real-time intelligent applications. To realize this, promoting AI techniques into SAGIN is an inevitable trend. Due to the distributed and heterogeneous architecture of SAGIN, federated learning (FL) and then quantum FL are emerging AI model training techniques for enabling future privacy-enhanced and computation-efficient SAGINs. In this work, we explore the vision of using FL/QFL in SAGINs. We present a few representative applications enabled by the integration of FL and QFL in SAGINs. A case study of QFL over UAV networks is also given, showing the merit of quantum-enabled training approach over the conventional FL benchmark. Research challenges along with standardization for QFL adoption in future SAGINs are also highlighted. © 2024 IEEE.

关键词： Federated learning

来源：评论

学校读者我要写书评

暂无评论

Classification of skin lesions using morpho-granulometry features derived from color clusters

Classification of skin lesions using morpho-granulometry fea...

引用

International Conference on System Theory, Control, and Computing (ICSTCC)

作者： Gigi Tăbăcaru Simona Moldovanu Marian Barbu Department of Automatic Control and Electrical Engineering Faculty of Automation Computers Electrical Engineering and Electronics "Dunarea de Jos" University of Galati Galati Romania Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics The Modelling & Simulation Laboratory "Dunarea de Jos" University of Galati Galati Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

The skin lesion can be thought of as a biological system, so the morpho-granulometry of significant color clusters found in skin lesions is one of the elements that reproduce in a natural way the structure of the lesion, this novelty is highlighted in this study. Important features of skin lesions can be modulated by fusing neural networks (NN) and machine learning (ML). By choosing the nevus and melanoma classes, the primary goal was accomplished, and three databases were used to test the methodology. The characteristics based on morpho-granulometry allowed for the identification of microstructure within the images, which can be very helpful in characterizing the biological system. Based on random forest (RF) and extreme gradient boosting (XGboost) classifiers, this work aimed to improve the classification performance of important feature selection. The selected features from three free image databases with three NNs were classified. In a binary classification of nevus vs. melanoma, the results showed that the pattern recognition neural network (PRNN), according to the PH2 database, provided an accuracy of 0.923 and an F1-score of 0.876. The classification is interpretable if it is not validated. In our study, the best results were verified with a logistic regression (LR) classifier.

关键词： Accuracy Recurrent neural networks Image color analysis Melanoma Biological systems Artificial neural networks Feature extraction Skin Lesions Classification tree analysis

来源：评论

学校读者我要写书评

暂无评论

Deep Learning: A New Era in Electromagnetics (Review Article)

Deep Learning: A New Era in Electromagnetics (Review Article...

引用

National Conference on Radio Science (NSRC)

作者： Ahmed M. Attiya Tarek Salam Microwave Engineering Dept. Electronics Research Institute Cairo Egypt School of Computer Science and Technology Shandong Xiehe University Jinan Shandong China Faculty of Engineering at Shoubra Benha University Cairo Egypt

ISBN: (数字)9798331535261

ISBN: (纸本)9798331535278

This paper provides a comprehensive review of the application of deep learning techniques to solve electromagnetic wave problems. It begins with a brief historical overview of electromagnetics, highlighting the connections between different eras. The fundamental principles of neural networks and deep learning are then introduced. Subsequently, several illustrative examples are presented to demonstrate the application of deep learning in electromagnetics, including direction-of-arrival estimation, beamforming, microwave imaging, and path loss prediction. Furthermore, emerging trends in the use of deep learning for electromagnetic wave problems are discussed, offering insights into potential future research directions in this rapidly evolving field.

关键词： Deep learning Reviews Neural networks Electromagnetic scattering Market research Microwave theory and techniques Data models Numerical models Electromagnetics Microwave imaging

来源：评论

学校读者我要写书评

暂无评论

Design of Wideband Transmitarray with 1-Bit Beam-Deflection 6

Design of Wideband Transmitarray with 1-Bit Beam-Deflection

引用

6th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2023

作者： Rao, Liwei Feng, Botao Ding, Xiao Gu, Wenzhe Sun, Sanshan Zeng, Qingsheng College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts 999078 China School of Computer Science and Engineering Huizhou University Huizhou China College of Physics and Electronic Engineering Sichuan Normal University Sichuan China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350399059

This paper introduces a linearly polarized beam-deflection array that operates in the X-band and has a phase resolution of 1 bit. The transmission unit consists of three media layers and three metal layers. Its metal layers include metal strips with specific arrangements are used to twist the polarization of electromagnetic waves by ± 90°, and then the middle metal layer is rotated by 90° to form a phase difference of 0°/180°. A 20× 20 transmission array with beam deflection is designed using this unit. The designed antenna array shows good electrical characteristics including gain of 16 dBi at 11GHz and stable radiation patterns at both H- and V-planes. © 2023 IEEE.

关键词： Strip metal

来源：评论

学校读者我要写书评

暂无评论

A Simple Directional Patch Antenna with High Gain for WLAN Applications 6

A Simple Directional Patch Antenna with High Gain for WLAN A...

引用

6th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2023

作者： Zhang, Zhenfeng Feng, Botao Ding, Xiao Deng, Li Gu, Wenzhe Zeng, Qingsheng College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts 999078 China College of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China School of Computer Science and Engineering Huizhou University Huizhou China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350399059

This paper presents a high-gain directional antenna, which is suitable for 2.4 GHz wireless local area network (WLAN) applications. The antenna consists of a T-shaped patch etched with a rectangular slot, a rectangular ground plane, a reflector with metal strips around it. By adding symmetrical rectangular metal sheet around the antenna, the profile of the antenna can be reduced to 0.112 λ 0 (where λ 0 is the wavelength of 2.4 GHz in the free space), and the bandwidth can be expanded. This work is constructed using the finite element method based on the ANSYS HFSS software. The antenna has an impedance bandwidth of 35.4% (2.23-3.08 GHz), and the corresponding gain varies within 7.43 ± 0.02 dBi. The proposed antenna with the simple and thin structure is suitable for the applications such as bluetooth and zigbee. © 2023 IEEE.

关键词： Slot antennas

来源：评论

学校读者我要写书评

暂无评论

A Deep Learning-Based System for Detecting Defects in Printed Circuit Boards

A Deep Learning-Based System for Detecting Defects in Printe...

引用

International Electrical engineering Congress (iEECON)

作者： Aekkarat Suksukont Jakkrit Onshaunjit Jakkree Srinonchat Dept. of Computer Engineering Faculty of Industrial Education Rajamangala University of TechnologySuvarnabhumi (RMUTSB) Suphanburi Thailand Dept. of Electronics and Telecommunication Engineering Rajamangala University of Technology Thanyaburi (RMUTT) Pathum Thani Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

Traditional approaches to defect detection, relying on rule-based algorithms or human visual examination, are inadequate and ineffectual in handling intricate fault patterns. Implementing computer vision techniques in PCB defect detection can improve inspection processes' accuracy, reliability, and effectiveness. Deep learning is now used in those processes to explore important technology. This study presents a novel automated method for defect identification using deep learning methods. The system is built utilizing AlexNet, U-Net, ResNet 101, and Inception-v3, prominent frameworks known for their outstanding capacity to extract pertinent visual data components. The proposed technique comprehensively composes PCB photos, including faulty and defect-free samples. This training enhances the system's capacity to precisely differentiate between conventional PCB designs and six additional categories of errors. The suggested architecture of the CNN models consists of double process layers represented as ConV I, Pooling I, ConV II, and Pooling II. The validation procedure is carried out by using a range of learning rate data. The implementation findings indicate that the ResNet-101 variant achieves the highest testing accuracy of 99.286%. Indeed, incorporating this technology into the PCB manufacturing process enables the prompt identification of defective PCBs, leading to less waste, enhanced product quality, and heightened satisfaction among end-users.

关键词： Deep learning Visualization Accuracy Printed circuits Inspection Product design Quality assessment Circuit faults Defect detection Testing

来源：评论

学校读者我要写书评

暂无评论

Enhancing Quality for VVC Compressed Videos with Omniscient Quality Enhancement Model

Enhancing Quality for VVC Compressed Videos with Omniscient ...

引用

International Conference on Advanced Technologies for Communications, ATC

作者： Xiem HoangVan Hieu Bui Minh Sang NguyenQuang Wen-Hsiao Peng Faculty of Electronics and Telecommunications University Of Engineering and Technology Vietnam National University Hanoi Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan

ISBN: (数字)9798350353983

ISBN: (纸本)9798350353990

The latest video coding standard H.266/VVC has shown its great improvement in terms of compression performance when compared to its predecessor HEVC standard. Though VVC was implemented with many advanced techniques, it still met the same challenges as its predecessor due to the need for even higher perceptual quality demand at the decoder side as well as the compression performance at the encoder side. The advancement of Artificial Intelligence (AI) technology, notably the deep learning-based video quality enhancement methods, was shown to be a promising approach to improving the perceptual quality experience. In this paper, we propose a novel Omniscient video quality enhancement Network for VVC compressed Videos. The Omniscient Network for compressed video quality enhancement was originally designed for HEVC compressed videos in which not only the spatial-temporal features but also cross-frequencies information were employed to augment the visual quality. Inspired by this work, we propose a modification of the OVQE model and integrate it into the lasted STD-VVC (Standard Versatile Video Coding) decoder architecture. As assessed in a rich set of test conditions, the proposed OVQE-VVC solution is able to achieve significant PSNR improvement, notably around 0.74 dB and up to 1.2 dB with respect to the original STD-VVC codec. This also corresponds to around 19.6% of bitrate saving while keeping a similar quality observation.

关键词： Visualization Codecs Bit rate Quality assessment Decoding Spatiotemporal phenomena Artificial intelligence Video recording Standards High efficiency video coding

来源：评论

学校读者我要写书评

暂无评论

Metaheuristic Algorithm for Automatic Cruise Control System 3

Metaheuristic Algorithm for Automatic Cruise Control System

引用

3rd International Conference on Smart electronics and Communication, ICOSEC 2022

作者： Prasanna, V. Nelson, A. Hnaumanthakari, Sudheer Kumar, V. Kamal Kirubakaran, S. Kumar, M Jogendra B.S. Abdur Rahman Crescent Institute of Science and Technology Department of Computer Applications Tamil Nadu Vandalur600048 India Panimalar Engineering College Department of Mathematics Tamil Nadu Chennai600123 India Faculty of Science and Technology Icfai Foundation for Higher Education Department of Electronics and Communication Engineering Telangana Hyderabad501503 India Kpr Institute of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Chennai641407 India Cmr College of Engineering and Technology Department of Computer Science and Engineering Telangana Kandlakoya501401 India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Vaddeswaram522502 India

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

Accidents are less likely to happen when employing self-driving cars. However, automotive applications require more time and cost, simulation tool is a much more cost-effective and time-saving option. To reduce driver fatigue and ensure pedestrian safety, a vehicle's cruise control depends heavily on control engineering. To aid in vehicle safety, the automotive manufacturing sector is forecast to develop a range of cruise control strategies. Because of elevated traffic on the roads, there is a significant need for the development of Automatic Cruise Control (ACC). The feedback control system's architecture is essential for the achievement of ACC. This paper presents the controller tuning techniques for designing an ACC system. Researchers frequently utilized Ziegler-Nichols techniques in tuning Proportional Integral Derivative (PID) controllers. These tuning processes may be time-consuming and difficult for a complex nonlinear structure. This paper shows how to employ metaheuristic methodologies to quickly fine-tune the PID controller's parameter. The first stage is to construct a mathematical model of the cruise control system on the vehicle. The PID settings are then optimized using the firefly and cuckoo search optimized algorithm. Both metaheuristic PID controllers achieve the necessary vehicle velocity, according to simulations. From the results, it also inferred that the designed controller helps the system to attain the required velocity smoothly, with negligible overshoot and minimal rise time. © 2022 IEEE.

关键词： Optimization

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480页 << < 104 105 106 107 108 109 110 111 112 113 > >>

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：