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

2,232 篇 会议
54 篇 期刊文献
3 册 图书
1 篇 学位论文

馆藏范围

2,290 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,649 篇 工学
- 1,192 篇 计算机科学与技术...
- 701 篇 电气工程
- 506 篇 软件工程
- 479 篇 信息与通信工程
- 192 篇 控制科学与工程
- 101 篇 电子科学与技术（可...
- 44 篇 航空宇航科学与技...
- 43 篇 机械工程
- 31 篇 生物工程
- 30 篇 石油与天然气工程
- 30 篇 交通运输工程
- 25 篇 仪器科学与技术
- 25 篇 动力工程及工程热...
- 21 篇 建筑学
- 20 篇 生物医学工程（可授...
- 19 篇 土木工程
- 18 篇 光学工程
- 17 篇 材料科学与工程（可...
265 篇 理学
- 133 篇 数学
- 78 篇 物理学
- 43 篇 系统科学
- 40 篇 生物学
- 17 篇 统计学（可授理学、...
189 篇 管理学
- 153 篇 管理科学与工程(可...
- 57 篇 工商管理
- 37 篇 图书情报与档案管...
76 篇 医学
- 51 篇 基础医学(可授医学...
- 33 篇 临床医学
27 篇 经济学
- 27 篇 应用经济学
25 篇 教育学
- 24 篇 教育学
15 篇 法学
8 篇 军事学
3 篇 农学
2 篇 文学
1 篇 艺术学

主题

171 篇 computer archite...
165 篇 programming
91 篇 hardware
86 篇 network architec...
80 篇 linear programmi...
71 篇 neural networks
68 篇 protocols
64 篇 network topology
62 篇 optimization
57 篇 computational mo...
52 篇 deep learning
52 篇 computer network...
49 篇 routing
49 篇 cloud computing
45 篇 application soft...
45 篇 network-on-chip
42 篇 dynamic programm...
41 篇 switches
40 篇 throughput
39 篇 parallel program...

机构

7 篇 univ calif berke...
6 篇 xidian univ stat...
5 篇 natl res univ hi...
5 篇 deakin univ sch ...
5 篇 swiss fed inst t...
5 篇 mit cambridge ma...
5 篇 tsinghua univ pe...
5 篇 southeast univ n...
5 篇 dalian univ tech...
5 篇 russian acad sci...
4 篇 pg demidov yaros...
4 篇 georgia inst tec...
4 篇 univ chinese aca...
4 篇 shanghai jiao to...
4 篇 peking universit...
4 篇 pacific northwes...
4 篇 univ calif san d...
3 篇 columbia univers...
3 篇 univ estadual ca...
3 篇 nanjing univ aer...

作者

10 篇 carle georg
6 篇 magedanz thomas
6 篇 emmerich paul
5 篇 zhao bo
5 篇 benini luca
5 篇 georg carle
4 篇 zhang tao
4 篇 wang lei
4 篇 garcia jordi
4 篇 dongarra jack
4 篇 hoefler torsten
4 篇 li tao
4 篇 turdakov denis
4 篇 luca foschini
4 篇 kellerer wolfgan...
4 篇 vetter jeffrey s...
4 篇 liu derong
4 篇 chatha karam s.
4 篇 li ming
4 篇 lee seyong

语言

2,231 篇 英文
47 篇 其他
10 篇 中文
1 篇 西班牙文
1 篇 土耳其文

检索条件"任意字段=IEEE Conference on Open Architectures and Network Programming"

共 2290 条记录，以下是531-540 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：

Rethinking the Up-Sampling Operations in CNN-Based Generative network for Generalizable Deepfake Detection

Rethinking the Up-Sampling Operations in CNN-Based Generativ...

引用

conference on Computer Vision and Pattern Recognition (CVPR)

作者： Chuangchuang Tan Huan Liu Yao Zhao Shikui Wei Guanghua Gu Ping Liu Yunchao Wei Institute of Information Science Beijing Jiaotong University Beijing Key Laboratory of Advanced Information Science and Network Technology School of Information Science and Engineering Yanshan University Hebei Key Laboratory of Information Transmission and Signal Processing CSE department University of Nevada Reno USA

ISBN: (数字)9798350353006

ISBN: (纸本)9798350353013

Recently, the proliferation of highly realistic synthetic images, facilitated through a variety of GANs and Diffusions, has significantly heightened the susceptibility to misuse. While the primary focus of deepfake detection has traditionally centered on the design of detection algorithms, an investigative inquiry into the generator architectures has remained conspicuously absent in recent years. This paper contributes to this lacuna by rethinking the architectures of CNN-based generator, thereby establishing a generalized representation of synthetic artifacts. Our findings illuminate that the up-sampling operator can, beyond frequency-based artifacts, produce generalized forgery artifacts. In particular, the local interdependence among image pixels caused by upsampling operators is significantly demon-strated in synthetic images generated by GAN or diffusion. Building upon this observation, we introduce the concept of Neighboring Pixel Relationships(NPR) as a means to capture and characterize the generalized structural artifacts stemming from up-sampling operations. A comprehensive analysis is conducted on an open-world dataset, comprising samples generated by 28 distinct generative models. This analysis culminates in the establishment of a novel state-of-the-art performance, showcasing a remarkable 12.8% im-provement over existing methods. The code is available at https://***/chuangchuangtan/NPR-DeepfakeDetection.

关键词： Deepfakes Computer vision Frequency-domain analysis Computer architecture Detectors Generative adversarial networks Generators

来源：评论

学校读者我要写书评

暂无评论

CNN-based Ego-Motion Estimation for Fast MAV Maneuvers

CNN-based Ego-Motion Estimation for Fast MAV Maneuvers

引用

ieee International conference on Robotics and Automation (ICRA)

作者： Xu, Yingfu de Croon, Guido C. H. E. Delft Univ Technol Fac Aerosp Engn Micro Air Vehicle Lab Delft Netherlands

ISBN: (纸本)9781728190778

In the field of visual ego-motion estimation for Micro Air Vehicles (MAVs), fast maneuvers stay challenging mainly because of the big visual disparity and motion blur. In the pursuit of higher robustness, we study convolutional neural networks (CNNs) that predict the relative pose between subsequent images from a fast-moving monocular camera facing a planar scene. Aided by the Inertial Measurement Unit (IMU), we mainly focus on translational motion. The networks we study have similar small model sizes (around 1.35MB) and high inference speeds (around 10 milliseconds on a mobile CPU). Images for training and testing have realistic motion blur. Departing from a network framework that iteratively warps the first image to match the second with cascaded network blocks, we study different network architectures and training strategies. Simulated datasets and a self-collected MAV flight dataset are used for evaluation. The proposed setup shows better accuracy over existing networks and traditional feature-point-based methods during fast maneuvers. Moreover, self-supervised learning outperforms supervised learning. Videos and open-sourced code are available at https://github. com/tudelft/PoseNet_Planar

关键词： network architecture

来源：评论

学校读者我要写书评

暂无评论

Towards Disaggregated Resilient 5G Radio Access network: A Proof of Concept

Towards Disaggregated Resilient 5G Radio Access Network: A P...

引用

ieee conference on network Softwarization (NetSoft)

作者： Abhishek Bhattacharyya Shunmugapriya Ramanathan Andrea Fumagalli Koteswararao Kondepu Indian Institute of Technology Dharwad Dharwad India Open Network Advanced Research lab The University of Texas at Dallas

Smart living applications represent a significant group of 5G vertical use cases. For the most part, these use cases require mobile network connectivity and service high-availability. Simply put, two essential requirements for these applications are short connection time and uninterrupted user data service. Coupled with the expectation of supporting billions of connected devices, these requirements can be achieved by exploiting New Generation Radio Access network (NG-RAN) architectures. One such emerging architecture is Cloud Radio Access network (C-RAN), whose Next Generation NodeB (gNB) functions are physically decoupled into distinct entities, such as Radio Unit (RU), Distributed Unit (DU), and Central Unit (CU). The CUs are connected to 5G Core network (CN) and are likely to be virtualized and distributed across multiple (micro and macro) data centers. The virtualized CUs (vCUs) are further decoupled into virtualized CU Control-Plane (vCU-CP) and virtualized CU User-Plane (vCU-UP) to increase flexibility and scalability. As these 5G RAN entities are virtualized, various resiliency schemes, such as container migration, must be considered to overcome possible congestion in or malfunction of the hosting *** this paper, two distinct cloud-native RAN resiliency scenarios are evaluated while live-migrating gNB-vCU-CP with the objective of maintaining User Equipment (UE) connection time short and user data service uninterrupted in support of smart living and other advanced applications.

关键词：

来源：评论

学校读者我要写书评

暂无评论

open Mind Neuromodulation Interface for the CorTec Brain Interchange (OMNI-BIC): an investigational distributed research platform for next-generation clinical neuromodulation research

Open Mind Neuromodulation Interface for the CorTec Brain Int...

引用

International ieee/EMBS conference on Neural Engineering, CNE

作者： Hanbin Cho Jeffrey Ojemann Jeffrey Herron Department of Electrical and Computer Engineering University of Washington Seattle WA USA Department of Neurological Surgery University of Washington Seattle WA USA

The rise of adaptive stimulation approaches has shown great therapeutic promise in the growing field of neuromodulation. The discovery and growth of these novel adaptive stimulation paradigms has been largely concentrated around several implantable devices with research application programming interfaces (APIs) that allow for custom applications to be created for clinical neuromodulation studies. However, the sunsetting of devices and ongoing development of new platforms is leading to an increased fragmentation in the research environment- resulting in the reinvention of system features and the inability to leverage previous development efforts for future studies. The open Mind Neuromodulation Interface (OMNI) is a previously proposed solution to address the weaknesses of the DLL-driven API approach of past neuromodulation research by utilizing an alternative gRPC-enabled microservice framework. Here, we introduce OMNI-BIC, an implementation of the OMNI framework to the CorTec Brain Interchange system. This paper describes the design and implementation of the OMNI-BIC software tools and demonstrates the framework's capabilities for implementing customized neuromodulation therapies for clinical investigations. Through the development and deployment of the OMNI-BIC system, we hope to improve future clinical studies with the Brain Interchange system and aid in continuing the growth and momentum of the exciting field of adaptive neuromodulation.

关键词： Adaptive systems Neural engineering Microservice architectures Medical treatment Implants Neuromodulation Software tools

来源：评论

学校读者我要写书评

暂无评论

SD-WAN for Cloud Edge Computing Continuum interconnection

SD-WAN for Cloud Edge Computing Continuum interconnection

引用

ieee conference on Global Communications (GLOBECOM)

作者： Ayoub Mokhtari Adlen Ksentini Eurecom Biot France

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

Driven by the emergence of IoT services and the need to process data as close as possible to its source, the shift from centralized Cloud computing to Cloud-Edge computing has become essential. This transition has given rise to a new computing paradigm known as the Cloud Edge Computing Continuum (CECC), where microservices that constitute Cloud-native applications are geographically dispersed across different federated CECC nodes. This transformation has brought with it new challenges in terms of interconnecting geographically dispersed CECC nodes through Wide Area networks (WANs) to support microservices interconnection needs (bandwidth, latency, etc.). To address this challenge, in this paper, we leverage Software Defined Wide Area networks (SD-WAN) for interconnecting the CECC nodes. We first introduce a comprehensive CECC SD-WAN architecture by demonstrating how dynamic application-aware routing facilitated by SD-WAN can overcome these limitations, ensuring efficient and flexible network performance across geographically dispersed Cloud sites. Then, for the instantiation of the architecture, we adapt an open-source SD-WAN implementation to the context of CECC. We also show performance improvement, with our approach being 10% more efficient in terms of memory usage than the VRF lite approach in the open-source implementation.

关键词： Wide area networks Cloud computing Overlay networks Memory management Microservice architectures Quality of service Routing Software Internet of Things Edge computing

来源：评论

学校读者我要写书评

暂无评论

programming and Mapping for Mixed Heterogeneous Devices: The Case of Optical Flow 33

Programming and Mapping for Mixed Heterogeneous Devices: The...

引用

33rd Euromicro International conference on Parallel, Distributed, and network-Based Processing, PDP 2025

作者： Pascual, Sergio Alonso Gonzalez-Escribano, Arturo Universidad de Valladolid. ETSII Departamento de Informática Valladolid Spain

ISBN: (纸本)9798331524937

Current parallel systems are increasingly heterogeneous, mixing devices of different types and computing capabilities. Exploiting multiple different devices for the same application continues to be a challenge that ranges from technical problems related to synchronizing and communicating diverse devices to problems of load distribution and flexibility to adjust the computation to the platform resources. In this work, we study the problem of using and extending a heterogeneous portability layer to program and adapt HSOpticalFlow to heterogeneous platforms. HSOpticalFlow is a streaming application to estimate the apparent movement of objects in a sequence of images. It is a simple but characteristic example of the structure of applications based on multilevel ILS (Iterative Loop Stencil), also known as multi-grid methods, applied to a sequence of inputs. Starting from the original CUDA reference code, we present a methodology and programming techniques based on the Controller programming model to implement it as a pipeline among multiple devices. We discuss a technique to determine a proper work partition and mapping for a set of devices. This allows for building very efficient parallel solutions, using similar devices or taking advantage of devices with lower computing power, to reduce the load and increase the productivity of more powerful ones. We present the results of an experimental study using several GPUs of different vendors, architectures, and generations, showing that this solution allows combinations of devices to be efficiently exploited to improve performance. Specifically, the results include speedups of 1.91x using two NVIDIA A100 GPUs and 1.21x using one NVIDIA V100 GPU and one AMD WX9100 GPU, which is about $3 x$ slower than the NVIDIA GPU for this application. © 2025 ieee.

关键词： Computer software portability

来源：评论

学校读者我要写书评

暂无评论

Fat-B+Tree: Fast B+tree Indexing with In-network Memory

Fat-B+Tree: Fast B+tree Indexing with In-Network Memory

引用

ieee International conference on Performance, Computing and Communications (IPCCC)

作者： Yikai Zhao Yuanpeng Li Zicang Xu Tong Yang Kaicheng Yang Li Chen Xin Yao Gong Zhang Peking University China Zhongguancun Laboratory China Huawei Theory Lab China

ISBN: (数字)9798350367942

ISBN: (纸本)9798350367959

In-memory database in the data center plays an indispensable role in many fields. B + tree is the most recognized index in in-memory database, but its indexing latency has become the bottleneck that prevents the database from achieving higher performance. The existing work reduces latency by caching B + tree nodes using slow DRAM on computing clients, or directly caching data using fast SRAM on programmable switch. However, no existing work can meet all three key requirements: (1) Efficiency: providing enough fast memory to accelerate indexing. (2) Compatibility: compatible with multiple architectures and query types. (3) Adaptability: adapting to various workloads and database scales. Inspired by structrual similarity between the network topology of modern data centers and the B + tree structure, we propose Fat-B + Tree, which embeds the B + tree into the in-network fast memory provided by the hierarchical connected programmable switches, thus meeting all design requirements. We have fully implemented the Fat-B + Tree prototype, and the experimental results show that compared with the baseline system, it reduces query latency by up to 76% and improves throughput by up to 3.93 times. The source codes of Fat-B + Tree are open-sourced at GitHub.

关键词： Data centers Databases Source coding Memory management Random access memory Prototypes Switches Throughput Indexing Software development management

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis of Hotel Reviews using Deep Learning Approaches

Sentiment Analysis of Hotel Reviews using Deep Learning Appr...

引用

Electrical, Electronic and Information Sciences (eStream), open conference of

作者： Fiqi Amali Halil Yigit Zeynep Hilal Kilimci Dep of Information Systems Engineering Kocaeli Universit Kocaeli Turkiye

ISBN: (数字)9798350352412

ISBN: (纸本)9798350352429

The tourism industry is experiencing rapid growth and is becoming one of the fastest-expanding sectors. A considerable number of travelers now make hotel bookings and share their experiences on travel e-commerce platforms. Enhancing the quality of products and services within this industry can be accomplished by scrutinizing customer feedback. This research employs advanced deep learning techniques to discern subtle sentiments and glean insights from an extensive collection of hotel reviews. Deep neural networks, such as Convolutional Neural networks (CNNs) and Long Short-Term Memory (LSTM), are widely acknowledged for their effectiveness in sentiment analysis. This study conducts a comparative examination of various network architectures, encompassing CNN, LSTM, CNN-LSTM, BiLSTM, and ConvBiLSTM, with the objective of pinpointing the most suitable approach. The experimental results are derived from datasets containing hotel reviews from Indonesia, obtained by crawling TripAdvisor. Notably, the LSTM model achieved an accuracy score of 96.42% on the Padma Hotel dataset and 85.31% on the Hard Rock Hotel dataset. The CNN-LSTM model demonstrated an accuracy of 85.87% on the Ayana Hotel dataset, while the BiLSTM model achieved 86.09% accuracy on the Pullman Hotel dataset. In assessing the performance of machine learning versus deep learning models, the analysis extends to commonly used IMDb datasets. The experimental results underscore the superiority of deep learning models over machine learning models across all evaluated metrics.

关键词： Deep learning Sentiment analysis Reviews Tourism industry network architecture Transformers Rocks

来源：评论

学校读者我要写书评

暂无评论

Distribution network Operation by Coordination of Flexible Loads, SOP, and Smart Transformer

Distribution Network Operation by Coordination of Flexible L...

引用

ieee Region 10 International conference TENCON

作者： Alok Kumar Avirup Maulik K. A. Chinmaya Department of Electrical Engineering Indian Institute of Technology (BHU) Varanasi India

The penetration of embedded generation, including renewable power sources (wind and solar), is gradually increasing in power distribution networks. Also, the transition from conventional fossil fuel-based transportation to e-transportation has introduced electric vehicle charging stations as a new load class. The conventional distribution system architecture alteration has made the system operation rather challenging. Therefore, an efficient energy management scheme is crucial to the satisfactory operation of an active distribution system from techno-economic considerations. This paper proposes an optimal operating strategy to simultaneously minimize the operating cost, average voltage deviation, and line loadings and improve the voltage stability of an active distribution network. The distribution system is assumed to have a soft open point and smart transformer for smooth active and reactive power control. The demand response flexibility (offered by responsive electrical demands and public and residential electric vehicle charging stations) is coordinated by controlling a smart transformer and a soft open point to realize multiple objectives. The multi-objective problem is solved in the fuzzy domain using a combination of linear programming and particle swarm optimization. Simulation results on a sixty-nine-bus radial distribution system validate the proposed method's effectiveness.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Attentional Feature Fusion

Attentional Feature Fusion

引用

ieee Winter conference on Applications of Computer Vision (WACV)

作者： Dai, Yimian Gieseke, Fabian Oehmcke, Stefan Wu, Yiquan Barnard, Kobus Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing Peoples R China Univ Munster Dept Informat Syst Munster Germany Univ Copenhagen Dept Comp Sci Copenhagen Denmark Univ Arizona Dept Comp Sci Tucson AZ 85721 USA

ISBN: (纸本)9780738142661

Feature fusion, the combination of features from different layers or branches, is an omnipresent part of modern network architectures. It is often implemented via simple operations, such as summation or concatenation, but this might not be the best choice. In this work, we propose a uniform and general scheme, namely attentional feature fusion, which is applicable for most common scenarios, including feature fusion induced by short and long skip connections as well as within Inception layers. To better fuse features of inconsistent semantics and scales, we propose a multi-scale channel attention module, which addresses issues that arise when fusing features given at different scales. We also demonstrate that the initial integration of feature maps can become a bottleneck and that this issue can be alleviated by adding another level of attention, which we refer to as iterative attentional feature fusion. With fewer layers or parameters, our models outperform state-of-the-art networks on both CIFAR-100 and ImageNet datasets, which suggests that more sophisticated attention mechanisms for feature fusion hold great potential to consistently yield better results compared to their direct counterparts. Our codes and trained models are available online(1).

关键词： Computer vision Fuses conferences Computational modeling Semantics Neural networks network architecture

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229页 << < 50 51 52 53 54 55 56 57 58 59 > >>

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：