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

3,413 篇 会议
54 篇 期刊文献
20 册 图书

馆藏范围

3,487 篇 电子文献
2 种 纸本馆藏

日期分布

学科分类号

1,651 篇 工学
- 819 篇 电气工程
- 716 篇 计算机科学与技术...
- 509 篇 信息与通信工程
- 388 篇 控制科学与工程
- 377 篇 软件工程
- 179 篇 仪器科学与技术
- 170 篇 电子科学与技术（可...
- 91 篇 机械工程
- 77 篇 生物医学工程（可授...
- 55 篇 材料科学与工程（可...
- 50 篇 光学工程
- 49 篇 测绘科学与技术
- 42 篇 航空宇航科学与技...
- 39 篇 交通运输工程
- 34 篇 生物工程
- 27 篇 化学工程与技术
- 20 篇 动力工程及工程热...
- 20 篇 土木工程
- 18 篇 安全科学与工程
597 篇 理学
- 346 篇 物理学
- 206 篇 数学
- 62 篇 系统科学
- 43 篇 生物学
- 39 篇 统计学（可授理学、...
- 29 篇 化学
195 篇 管理学
- 164 篇 管理科学与工程(可...
- 35 篇 图书情报与档案管...
193 篇 医学
- 173 篇 临床医学
- 39 篇 基础医学(可授医学...
- 19 篇 药学(可授医学、理...
14 篇 教育学
9 篇 法学
8 篇 军事学
5 篇 经济学
5 篇 农学
4 篇 文学
2 篇 艺术学

主题

1,680 篇 signal processin...
548 篇 signal processin...
488 篇 estimation
475 篇 field programmab...
425 篇 ofdm
424 篇 modulation
424 篇 clocks
393 篇 filtration
274 篇 digital signal p...
173 篇 algorithm design...
158 篇 array signal pro...
154 篇 signal to noise ...
143 篇 feature extracti...
139 篇 hardware
122 篇 accuracy
106 篇 image processing
103 篇 real-time system...
98 篇 computer archite...
71 篇 testing
69 篇 wireless communi...

机构

21 篇 tianjin key labo...
16 篇 tianjin key lab ...
12 篇 lovely professio...
8 篇 university of ch...
7 篇 cuny ny 10021 us...
7 篇 school of inform...
7 篇 the center for a...
7 篇 harbin inst tech...
6 篇 centre of resear...
6 篇 advanced technol...
6 篇 advanced signal ...
6 篇 tianjin key labo...
6 篇 institute of aer...
5 篇 department of el...
5 篇 us dept def ft g...
5 篇 beijing key labo...
5 篇 school of inform...
5 篇 michigan state u...
5 篇 institute of aco...
4 篇 shanghai advance...

作者

23 篇 renbiao wu
12 篇 cohen l
11 篇 andrzej cichocki
10 篇 joohwan chun
9 篇 m.a. bayoumi
8 篇 cichocki andrzej
7 篇 a. cichocki
7 篇 dan lu
7 篇 yao k
6 篇 ebrahimi touradj
6 篇 in-cheol park
6 篇 liu hong
5 篇 sangarapillai la...
5 篇 liu yang
5 篇 nelson dj
5 篇 zhigang su
5 篇 anon
5 篇 qingyan shi
5 篇 junfeng li
5 篇 amin mg

语言

3,425 篇 英文
46 篇 中文
18 篇 其他
1 篇 土耳其文

检索条件"任意字段=Conference on Advanced Signal Processing Algorithms"

共 3487 条记录，以下是3361-3370 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：

Retinal OCT Image Denoising Based on Adaptive Bessel K-form Modeling

Retinal OCT Image Denoising Based on Adaptive Bessel K-form ...

引用

Iranian conference of Biomedical Engineering (ICBME)

作者： Sahar Jorjandi Zahra Amini Maryam Samieinasab Hossein Rabbani Department of Bioelectrics and Biomedical Engineering School of Advanced Technologies in Medicine Student Research Committee Isfahan University of Medical Sciences Isfahan Iran Medical Image & Signal Processing Research Center School of Advanced Technologies in Medicine Isfahan University of Medical Sciences Isfahan Iran Department of Molecular and Human Genetics Baylor College of Medicine Houston TX USA

In this study, an adaptive approach is addressed to reduce the noise of retinal Optical Coherence Tomography (OCT) images. Since the layered structure of retinal OCT images creates a dependency between adjacent pixels at particular distances, the presented method is based on the adaptive selection of variable neighborhood windows for each pixel of OCT images. Indeed, by defining this spatial adaptivity, we extend our earlier work in which a pixel-wise fixed window was considered. Here, the variance is calculated in an optimal window for each pixel; so that the ultimate distribution of the variance image follows a gamma model. Besides, the asymmetry observed in the distribution of retinal layers led to suggest Asymmetric Bessel K-form (ABKF). This model is easily transformed into a Gaussian distribution through dividing the image into the root of the variance image. Then, it can be used with Gaussian-based algorithms for OCT denoising application. The results show the impressive performance of the proposed adaptive local BKF model in noise reduction and increasing image contrast as visual and quantitative criteria.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Underwater threat detection and tracking using multiple sensors and advanced processing

Underwater threat detection and tracking using multiple sens...

引用

International Carnahan conference on Security Technology

作者： Andy Meecham Tim Acker Northern Defense Industries Inc Alexandria VA USA BioSonics Inc Seattle WA USA

ISBN: (纸本)9781509010738

The vulnerability of military installations and critical infrastructure sites from underwater threats is now well accepted and, in order to combat these security weaknesses, there has been growing interest in - and adoption of - sonar technology. Greater availability of Autonomous/Unmanned Underwater Vehicles (A/UUVs) to both adversary nations and terrorists/saboteurs is also a cause of increasing concern. The small size and low acoustic target strength/signature of these vehicles presents significant challenges for sonar systems. The well-known challenges of the underwater environment, particularly in a harbor or port setting, can lead to a Nuisance Alarm Rate (NAR) that is higher than that of traditional security sensors (e.g. CCTV). This, in turn, can lead to a lack of confidence from end users and a possibility that `real' alerts are incorrectly dism issed. In the past this has been addressed by increasing the capability of individual sensors, leading to ever-increasing sensor complexity, however, the relationship between sensor performance and complexity/cost is highly non-linear. Even with the most complex and capable sensors, the fundamental limit to performance is often limited by acoustics, not sensor capability. In this paper we describe an alternative approach to reducing NAR and improving detection of difficult targets (e.g. UUVs), through intelligent combination and fusion of outputs from multiple sensors and data/signal processing algorithms. We describe the statistical basis for this approach, as well as techniques, methodologies and architectures for implementation. We describe the approach taken in our prototype algorithms/system, as well as quantitative and qualitative results from testing in a real-world environment. These results show a significant reduction in NAR and increase in classiflcation/alert range. Finally, we describe current focus areas for algorithmic and system development in both the short and medium term, as well as future extensi

关键词： Sensors Sonar Target tracking Security Acoustics Vehicles Complexity theory

来源：评论

学校读者我要写书评

暂无评论

Multi-cell Distributed Interference Cancellation for Co-operative Pico-cell Clusters

Multi-cell Distributed Interference Cancellation for Co-oper...

引用

IEEE Global Communications conference

作者： Shirish Nagaraj M. R. Raghavendra Philip J. Fleming Michael Honig Technology & Strategy - Advanced Technologies Nokia Siemens Networks Dept. of Elec. Engineering and Comp. Science Northwestern University

ISBN: (纸本)9781467309202

Alternative wireless topologies, e.g., an underlay network of Pico-cells, are increasingly seen as being necessary to enhance capacity and coverage in next generation wireless systems. Such networks of closely-spaced base-sites have to contend with high interference issues, wherein interference mitigation via power control or interference co-ordination may not be sufficient. Capacity can be significantly enhanced by Coordinated Multi-Point (CoMP) techniques, which allow cooperative signal processing to jointly decode user's signals, especially given fast communication links between the nodes. In this paper, we present a cooperative system design for the uplink of LTE for providing high capacity solutions in dense deployments. We propose non-linear receiver algorithms for inter-cell interference suppression and cancellation based on a decentralized multistage cancellation architecture using user-specific clustered Pico-cell antennas. An interference cancellation method acting on post-antenna combined signal is proposed to reduce the computational complexity of the receiver. The decoding latency inherent in multistage receivers is another key bottleneck, which is addressed in this paper by a method to predict the ACK/NACK status at the output of the multistage receiver before actually doing the cancellation. Simulation results for a dense stadium deployment of Pico-cells are presented that show significant capacity gains with the proposed approaches.

关键词： Interference cancellation CANCELLATIONS Receivers MULTISTAGE disturbance suppression CARRIER SYSTEM up link Local thermodynamic equilibrium Power control DECODING signal processing complexity classes

来源：评论

学校读者我要写书评

暂无评论

“Optimizing Payment Transaction Security: Utilizing Gradient Boosting Machines for Fraud Detection”

“Optimizing Payment Transaction Security: Utilizing Gradien...

引用

International conference on Communications and signal processing

作者： Naduvathezhath Nessariose Jose Arun Kumar Arigela G Vivekanandan Ravikumar Sethuraman Suresh Babu Thandullu Naganathan Nookala Venu Denken Solutions Department of CSIT Marri Laxman Reddy Institute of Technology and Management (MLRITM) Hyderabad Telangana India Department of CSE Sri Sairam Institute of Technology Chennai India Department of Computer Science And Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai India Department of Electronics and Communication Engineering Adhiparasakthi Engineering College Melmaruvathur Tamil Nadu India Centre for IoT Madhav Institute of Technology & Science (MITS) (Deemed to be University) Gwalior

ISBN: (数字)9798350353068

ISBN: (纸本)9798350353075

In today’s digital era, ensuring the security of bank payments is imperative to maintain trust and integrity in financial transactions. With the proliferation of online banking and electronic payments, the risk of fraudulent activities has escalated, posing a constant challenge to financial institutions and their clients. To counteract this threat, advanced techniques utilizing machine learning algorithms have emerged as indispensable tools for detecting and preventing fraudulent transactions effectively. This study proposes a novel strategy for enhancing bank payment security through the utilization of Gradient Boosting Machines (GBM) for fraud detection. GBM, a powerful ensemble learning technique, has demonstrated exceptional performance across various classification tasks, rendering it well-suited for identifying fraudulent activities within bank payments. By harnessing GBM, our objective is to elevate the accuracy and efficiency of fraud detection systems, consequently curtailing financial losses attributable to fraudulent transactions while minimizing false positives that could inconvenience legitimate clients. Emphasis is placed on feature selection and engineering to extract pertinent information from transactional data, enabling the model to effectively discern. To validate the efficacy of our approach, we conduct experiments utilizing authentic bank payment datasets, assessing the GBM-based fraud detection system’s accuracy, precision, recall, and F1-score. Our findings reveal significant enhancements in fraud detection performance compared to conventional methods, underscoring the effectiveness of GBM in mitigating the risks associated with fraudulent activities in banking transactions. In essence, this research contributes to the ongoing endeavours aimed at fortifying bank payment security by leveraging advanced machine learning techniques. By harnessing the prowess of GBM for fraud detection, financial institutions can bolster their defences against evo

关键词： Training Technological innovation signal processing Boosting Feature extraction Data models Robustness

来源：评论

学校读者我要写书评

暂无评论

WiPLUS: Towards LTE-U Interference Detection, Assessment and Mitigation in 802.11 Networks

WiPLUS: Towards LTE-U Interference Detection, Assessment and...

引用

European Wireless 2017;23th European Wireless conference

作者： Michael Olbrich Anatolij Zubow Sven Zehl Adam Wolisz Telecommunication Networks Group (TKN) Technische Universitat Berlin

ISBN: (纸本)9781509038442

We propose WiPLUS - a system that enables WiFi to deal with the stealthy invasion of LTE-U into the frequency bands used by WiFi. Using solely MAC layer information extracted passively, during runtime, out of the hardware registers of the WiFi NIC at the WiFi access point, WiPLUS is able to: i) detect interfering LTE-U signals, ii) compute their dutycycles, and iii) derive the effective medium airtime available for each WiFi link in a WiFi Basic Service Set (BSS). Moreover WiPLUS provides accurate timing information about the detected LTE-U ON and OFF phases enabling advanced interference mitigation strategies such as interference-aware scheduling of packet transmissions, rate adaptation and adaptive channel bonding. WiPLUS does not require any modifications to the WiFi client stations and works with commodity WiFi APs where it has a simple software installation process. We present the design, the implementation details and the evaluation of the WiPLUS approach. Evaluation results reveal that it is able to accurately estimate the effective available medium airtime for each link in a WiFi BSS under a wide range of LTE-U signal strengths with a root-mean-square error of less than 3% for the downlink and less 10% for the uplink.

关键词： Estimation Field programmable gate arrays OFDM Modulation Filtration Clocks signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

Energy Efficiency Optimization in IRS-Enhanced mmWave Systems with Lens Antenna Array

Energy Efficiency Optimization in IRS-Enhanced mmWave System...

引用

GLOBECOM 2020 - 2020 IEEE Global Communications conference

作者： Yazheng Wang Hancheng Lu Dan Zhao Huan Sun Key Laboratory of Wireless-Optical Communications University of Science and Technology of China Hefei China Wireless Technology Laboratory Huawei Technologies Co. Ltd. Shanghai China

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

In millimeter wave (mmWave) systems, the advanced lens antenna array can effectively reduce the radio frequency chains cost. However, the mmWave signal is still vulnerable to blocking obstacles and suffers from severe path loss. To address this problem, we propose an intelligent reflecting surface (IRS) enhanced multi-user mmWave communication system with lens antenna array. Moreover, we attempt to optimize energy efficiency in the proposed system. An energy efficiency maximization problem is formulated where the transmit beamforming at base station and the reflect beamforming at IRSs are jointly considered. To solve this non-convex problem, we propose an algorithm based on the alternating optimization technique. In the proposed algorithm, the transmit beamforming is handled by the sequential convex approximation method and the reflect beamforming is optimized based on the quadratic transform method. Our simulation results show that the proposed algorithm can achieve significant energy efficiency improvement under various scenarios.

关键词： Array signal processing Transforms Approximation algorithms Energy efficiency Optimization Antenna arrays Lenses

来源：评论

学校读者我要写书评

暂无评论

Design of a CAN Analyzer and Its HMI for Fault Communication Diagnosis in Connected Cars

Design of a CAN Analyzer and Its HMI for Fault Communication...

引用

Electrical Engineering and Automatic Control (ICEEAC), International conference on

作者： Hadjer Saadi Mohamed Yacine Boushaki Hadjer Daoudi Abdelmalek Belloula USTHB Laboratory of Instrumentation LINS ENSTICP Laboratory of Research in TIC(LABORTIC) Algiers Algeria Department of Electrical Engineering and Computing National Higher School of Advanced Technologies Algiers Algeria

ISBN: (数字)9798350349740

ISBN: (纸本)9798350349757

This article provides an overview of CAN (Controller Area Network) analyzers used to observe and analyze communications on a CAN network. These analysis devices are widely used in various fields such as automotive, embedded electronics, industrial automation, etc. They are useful and offer numerous advantages, including easy message reading. Additionally, this paper describes the design of a new CAN analyzer and it's Human Interface Machine (HIM) we have created, along with its own features and characteristics, that we called it CANalyzerS, s means a simplified version compared to existing one. This type of CAN analyzer is specifically dedicated to monitoring and diagnosing faults in connected cars. The results obtained are very satisfactory.

关键词： Irrigation Connected vehicles signal processing algorithms Network analyzers Safety Maintenance Monitoring

来源：评论

学校读者我要写书评

暂无评论

Combined Stockwell and Hilbert Transforms Based Technique for the Detection of Islanding Events in Hybrid Power System

Combined Stockwell and Hilbert Transforms Based Technique fo...

引用

Annual conference of Industrial Electronics Society

作者： Om Prakash Mahela Ehsan Heydarian-Forushani Hassan Haes Alhelou Baseem Khan Akhil Ranjan Garg Ameena Saad Al-Sumaiti Power System Planning Division RVPN Jaipur India Esfahan Electricity Power Distribution Company Esfahan Iran Tishreen University Lattakia Syria Hawassa University Ethiopia JNVU Jodhpur India Advanced Power and Energy Center Khalifa University Abu Dhabi UAE

ISBN: (数字)9781728154145

ISBN: (纸本)9781728154152

This paper presents a technique using hybrid features extracted from current signals using Stockwell and Hilbert Transforms for detecting the islanding events and operational events of renewable energy generators and loads. The study is performed on a hybrid power system test network incorporating wind and solar power generators. Results are computed using MATLAB/Simulink software for a variety of case studies. Through the applied technique islanding events are successfully identified and discriminated from operational events.

关键词： Islanding Generators Indexes Transforms Power systems Feature extraction signal processing algorithms

来源：评论

学校读者我要写书评

暂无评论

Leveraging Graph Neural Networks for Complex Network Traffic signal processing

Leveraging Graph Neural Networks for Complex Network Traffic...

引用

Trends in Quantum Computing and Emerging Business Technologies (TQCEBT), International conference on

作者： S Vinod Kumar Anurag Shrivastava Aravinda K Lavish Kansal Ravi Kalra Hawraa Ali Sabah Institute of Aeronautical Engineering Hyderabad Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamilnadu Department of Electronics and Communication Engineering New Horizon College of Engineering Bangalore Lovely Professional University Phagwara Lloyd Institute of Engineering & Technology Knowledge Park II Greater Noida Uttar Pradesh College of Technical Engineering National University of Science and Technology Dhi Qar Iraq

ISBN: (数字)9798350384277

ISBN: (纸本)9798350384284

With the development of deep learning algorithms, automated interpretation has advanced significantly, but simultaneous interpretation of speech and sign language still presents a major obstacle. In order to close the communication gap between the hearing and the deaf populations, this study offers novel multimodal deep learning techniques for the simultaneous interpretation of speech and sign language. To analyze and interpret visual and aural input concurrently, the suggested approach combines cutting-edge neural network topologies with sophisticated signal processing methods. This study is centered on the innovative combination of recurrent neural networks (RNNs), namely Long Short-Term Memory (LSTM) networks for auditory speech processing, and convolutional neural networks (CNNs) for visual sign language interpretation. The extraction and integration of temporal and spatial data from both modalities is made easier by this combination. To improve the model's emphasis on relevant signals in a dynamic conversational setting, attention methods are also included. The model was trained and assessed using a large dataset that included a variety of spoken and sign languages. When compared to the current approaches, the findings show a considerable improvement in accuracy and efficiency. This work sheds light on the intricate structure of multimodal communication and its computer modelling, in addition to contributing to the area of automated *** creating new opportunities for inclusive communication technology, our study improves the effectiveness and accessibility of real-time, cross-modal interpretation.

关键词： Deep learning Sign language Visualization Recurrent neural networks Computational modeling Data processing Real-time systems

来源：评论

学校读者我要写书评

暂无评论

GastroNet FusionAI: Artificial Intelligence Diagnosis of Clinical Gastric Cancer Tumors

GastroNet FusionAI: Artificial Intelligence Diagnosis of Cli...

引用

IEEE International conference on Information Communication and signal processing (ICICSP)

作者： Jialun Xu Xiayang Wu Zhenyuan Xu School of Statistics Nanjing Audit University Nanjing China School of Statistics Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9798350355895

ISBN: (纸本)9798350355901

The significant advancements in natural image processing have sparked widespread interest in applying similar deep learning techniques to medical imaging. Unlike natural images, detecting details in medical images requires capturing finer details, necessitating the use of specially designed network architectures rather than standard ones developed for large-scale, downscaled natural images. Additionally, medical imaging often requires the fusion of images from multiple perspectives to form an accurate diagnosis. Therefore, we propose a novel AI algorithm called GastroNet FusionAI, an advanced algorithm specifically designed for gastric cancer diagnosis. It employs an innovative image fusion strategy that effectively integrates images from four different imaging perspectives in gastric cancer detection. This approach not only provides a more comprehensive view but also significantly enhances the accuracy of disease detection by enriching the image content. The development of GastroNet FusionAI aims to improve the early detection rate of gastric cancer, which is crucial for increasing patient survival rates. Gastric cancer is one of the most common types of cancer globally and has a high incidence in certain regions. Despite the enormous potential of AI technology in gastric cancer detection, research on its effectiveness and reliability remains relatively scarce. Existing studies are often limited by small sample sizes, homogeneous datasets, or a lack of rare gastric cancer subtypes. To overcome these challenges, we employed Real-Time Test-Time Augmentation (R-TTA) to expand the original dataset (consisting of 54,706 images) to 273,530 images. This method not only improved the model's learning efficiency but also effectively reduced the risk of overfitting. Our model was trained on a preprocessed dataset from three different hospitals and four different imaging perspectives, and its performance was evaluated using cross-validation to ensure the broad applicability of

关键词： Accuracy signal processing algorithms Cancer detection Real-time systems Artificial intelligence Medical diagnostic imaging Image fusion Cancer Overfitting Tumors

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349页 << < 333 334 335 336 337 338 339 340 341 342 > >>

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：