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

2,922 篇 会议
19 篇 期刊文献
14 册 图书

馆藏范围

2,955 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,963 篇 工学
- 1,321 篇 计算机科学与技术...
- 945 篇 软件工程
- 817 篇 信息与通信工程
- 550 篇 电气工程
- 296 篇 控制科学与工程
- 261 篇 电子科学与技术（可...
- 189 篇 仪器科学与技术
- 171 篇 生物医学工程（可授...
- 168 篇 机械工程
- 160 篇 生物工程
- 112 篇 网络空间安全
- 99 篇 动力工程及工程热...
- 96 篇 光学工程
- 83 篇 化学工程与技术
- 78 篇 材料科学与工程（可...
- 71 篇 石油与天然气工程
- 58 篇 交通运输工程
- 51 篇 安全科学与工程
863 篇 理学
- 460 篇 数学
- 261 篇 物理学
- 183 篇 生物学
- 139 篇 化学
- 137 篇 统计学（可授理学、...
- 66 篇 系统科学
397 篇 管理学
- 236 篇 管理科学与工程(可...
- 196 篇 图书情报与档案管...
- 81 篇 工商管理
222 篇 医学
- 196 篇 临床医学
- 114 篇 基础医学(可授医学...
- 81 篇 药学(可授医学、理...
38 篇 法学
30 篇 经济学
23 篇 农学
19 篇 教育学
14 篇 军事学
3 篇 文学

主题

222 篇 signal processin...
117 篇 signal processin...
101 篇 data mining
77 篇 feature extracti...
68 篇 big data
67 篇 digital signal p...
57 篇 data acquisition
54 篇 signal to noise ...
52 篇 machine learning
48 篇 deep learning
46 篇 data models
40 篇 support vector m...
34 篇 training
33 篇 electroencephalo...
31 篇 data processing
31 篇 real-time system...
30 篇 array signal pro...
28 篇 image processing
28 篇 accuracy
26 篇 neural networks

机构

49 篇 maharishi school...
37 篇 centre of interd...
16 篇 department of ar...
15 篇 vishwakarma inst...
12 篇 department of el...
12 篇 department of co...
11 篇 department of sc...
11 篇 vivekananda glob...
9 篇 department of co...
8 篇 department of el...
8 篇 chitkara univers...
8 篇 prince shri venk...
8 篇 prince shri venk...
8 篇 key laboratory o...
8 篇 vivekananda glob...
8 篇 department of el...
7 篇 school of comput...
7 篇 key laboratory o...
7 篇 american interna...
7 篇 insight sfi rese...

作者

7 篇 md. rifat hazari
7 篇 hamdulla askar
7 篇 chakravarthi bha...
6 篇 kumaresan prasan...
6 篇 ablimit mijit
6 篇 ahmad tohari
6 篇 gao yanxia
6 篇 liu yiwen
5 篇 abir ahmed
5 篇 vikrant bhateja
5 篇 suresh chandra s...
5 篇 wang wei
5 篇 bekkay hajji
5 篇 chang chin-chen
5 篇 ramakrishnan ram...
5 篇 md. saniat rahma...
5 篇 zhang ying
4 篇 li li
4 篇 priyadharshini r...
4 篇 liu xin

语言

2,863 篇 英文
85 篇 其他
15 篇 中文
1 篇 俄文

检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

共 2955 条记录，以下是61-70 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：

2023 IEEE 3rd international conference on Applied Electromagnetics, signal processing, and Communication, AESPC 2023

2023 IEEE 3rd International Conference on Applied Electromag...

引用

3rd IEEE international conference on Applied Electromagnetics, signal processing, and Communication, AESPC 2023

ISBN: (纸本)9798350358742

The proceedings contain 66 papers. The topics discussed include: channel capacity estimation for 5G system using MIMO multiplexing and PSO;comparative study of implementation of very deep super resolution neural network and bicubic interpolation for single image super resolution quality enhancement;influence of temperature fluctuations on the analog and RF characteristics of gate-engineered high-K gate dielectric stack SOI Fin-FET;perovskite hole transport layers in tin sulfide thin film solar cells: computational insights and analysis;utilizing the unscented Kalman filter for estimating state of charge in lithium-ion batteries of electric vehicles;a honeycomb-structured fractal multiband antenna for vehicle communication;skin disease classification using deep convolutional neural network on jetson nano developer kit;and proficient adjacent error correcting codes.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Minimum Variance Unbiased Estimators of Generalized Gaussian Distribution With an H-Proper Quaternion Random Variable

Minimum Variance Unbiased Estimators of Generalized Gaussian...

引用

Industrial Electronics: Developments & Applications (ICIDeA), IEEE international conference on-

作者： Ravi Tiwari Rajvardhan Jadhav Vaibhav Kumawat Heramb Bhure School of Electronics Engineering Vellore Institute of Technology Chennai Tamil Nadu India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

This paper presents a comprehensive approach to parameter estimation in generalized Gaussian distributions (GGD) with -proper quaternion random variables, utilizing Maximum Likelihood Estimation (MLE) and the Minimum Variance Unbiased Estimator (MVUE). These estimators provide a means to accurately capture the shape and scale parameters of quaternion-valued GGDs, which are increasingly relevant in multidimensional signal processing applications such as radar, sonar, and communications. By incorporating the Cramér-Rao Lower Bound (CRLB) as a performance benchmark, we assess the efficiency and effectiveness of MLE and MVUE in estimating GGD parameters within quaternion contexts. Our findings show that MLE achieves lower bias, especially with large sample sizes, while MVUE offers minimal variance, aligning with the CRLB. This study contributes to the development of robust statistical tools for quaternion-based data modeling, providing insights into efficient estimation techniques that support advanced signal processing tasks involving complex data structures.

关键词： Maximum likelihood estimation Lower bound Multidimensional signal processing Parameter estimation Quaternions Sonar applications Gaussian distribution data models Random variables Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

Real-Time Video Enhancement with Spatio-Temporal Attention via Deep Convolutional Neural Networks 3rd

Real-Time Video Enhancement with Spatio-Temporal Attention v...

引用

3rd international conference on Intelligent Systems and Sustainable Computing, ICISSC 2023

作者： Maria, Anto Bennet Balasubramanian, Swaminathan Vijayan, Rajmohan Sonthi, Vijaya Krishna Ramakrishnan, Jayapratha Manogaran, Umamaheswari Sengan, Sudhakar Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai600062 India Karnataka Bengaluru560069 India Tamil Nadu Chennai602107 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram522502 India Department of Information Technology V.S.B. College of Engineering Technical Campus Tamil Nadu Coimbatore642109 India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Computer Science and Engineering PSN College of Engineering and Technology Tamil Nadu Tirunelveli627451 India

ISBN: (纸本)9789819783540

The realm of video content has witnessed exponential growth, and alongside it emerges the challenge of enhancing video quality efficiently. Traditional techniques, although valuable, often fall short of addressing the intricate details and temporal consistencies required for high-quality video upscaling. Moreover, real-time processing demands methods ensuring accuracy and swift computational speeds. Addressing these challenges, this paper introduces the STA-DCNN. This innovative architecture is rooted in combining spatial and temporal attention mechanisms to produce superior video super-resolution. The Spatio-Temporal Attention Module (STAM) acts as a cornerstone, singling out essential features across frames, while the Deep Convolutional Backbone (DCB) intensifies these frames, capitalizing on attention-informed features. Furthermore, the Temporal Memory Unit (TMU) preserves crucial aspects from preceding frames, guaranteeing a seamless video rendition. Empirical tests confirm that STA-DCNN notably surpasses its counterparts, offering an ideal balance of quality and real-time processing. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Spatio-temporal data

来源：评论

学校读者我要写书评

暂无评论

Towards an AutoML-Based data Analytical Framework for Predicting Bankruptcy in Industrial Sector 3rd

Towards an AutoML-Based Data Analytical Framework for Predic...

引用

3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Shahriare Satu, Md. Yeasmin, Tanzina Abdus Salam, Muhammad Department of Management Information Systems Noakhali Science and Technology University Noakhali Bangladesh UBD School of Business and Economics Universiti Brunei Darussalam Bandar Seri Begawan Brunei

ISBN: (纸本)9789819739363

Bankruptcy is a lawful procedure when an organization is not able to repay its financial obligations to its investors. In this situation, one may lose their valuable possessions and disrupt regular industrial activities while paying off debts. This aforementioned situation has a significant impact on the financial stability of both individuals and organizations across the globe. Several works happened where different machine learning models were used to predict bankruptcy situations of different industries. In this work, we propose an Automated Machine Learning (AutoML)-based model that predicts the bankruptcy of different organizations more efficiently. First, the primary bankruptcy dataset was gathered from a public repository and preprocessed it for further processing. This dataset was balanced by oversampling with the Synthetic Minority Oversampling TEchnique (SMOTE) and undersampling with Random UnderSampling (RUS) techniques. To conduct the AutoML process, we employed the Tree-based Pipeline Optimization Tool (TPOT) framework in the primary, balanced oversampling, and undersampling datasets. After evaluating the classification outcomes of the primary and its balanced dataset, the best pipeline of Gradient Boosting in TPOTClassifier showed the best accuracy of 99.28% for the SMOTE oversampled dataset to predict bankruptcy more appropriately. This method also reduces many limitations of existing models and can be also used as a complementary tool in different machine learning applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Genetic programming

来源：评论

学校读者我要写书评

暂无评论

Hybrid EEG signal processing Framework for Driver Drowsiness Detection Using QWT, EMD, and Bayesian Optimized SVM

Hybrid EEG Signal Processing Framework for Driver Drowsiness...

引用

Integrated Circuits and Communication Systems (ICICACS), IEEE international conference on

作者： Shilpa Sardesai Rahul Gedam Symbiosis Institute of Computer Studies and Research Symbiosis International (Deemed University) Pune India Department of Electronics and Telecommunication LCIT Bilaspur India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

Drowsiness among drivers poses an urgent safety problem in road transportation because it creates serious risks to both drivers and their passengers. Carrying out prolonged driving operations creates a mind state between full wakefulness and sleep. The research presents a new supervised learning approach to evaluate sleep stages which helps detect driver sleepiness and trigger prompt alerts. A deep feature extraction system based on QWT with time-frequency scalogram and EMD artifact removal generates features from EEG signals. The system uses evaluation of decomposition levels' energy measurements to build Energy Vectors which lead to the processing of each EEG signal into feature vectors. data classification in this research occurs through implementation of the BO-SVM classifier which features Bayesian optimization. The BO-SVM classifier delivers exceptional accuracy results because it reaches 99.17% maximum accuracy beyond typical SVM classifier performance levels. This paper combines signal processing methods with machine learning techniques which result in advanced EEG data-based sleep stage diagnosis to enhance driver safety.

关键词： Support vector machines Accuracy Sleep signal processing Feature extraction Electroencephalography Vectors Bayes methods Safety Vehicles

来源：评论

学校读者我要写书评

暂无评论

2023 3rd international conference on Robotics, Electrical and signal processing Techniques, ICREST 2023

2023 3rd International Conference on Robotics, Electrical an...

引用

3rd international conference on Robotics, Electrical and signal processing Techniques, ICREST 2023

ISBN: (纸本)9798350346435

The proceedings contain 69 papers. The topics discussed include: predicting mushroom edibility with effective classification and efficient feature selection techniques;performance enhancement of conventional design of 4-bit carry look-ahead adder;two-bit magnitude comparator design using gate diffusion input technique and static CMOS logic;a comprehensive study of camouflaged object detection using deep learning;fuzzy logic-based design optimization and economic planning of a microgrid for a residential community in Bangladesh;performance analysis of the AVR using an artificial neural network and genetic algorithm optimization technique;electrical impedance measurement technique to determine the impedance of a volume conductor with embedded object;design and implementation of embedded sensor network for an automated radio telescope;and development of a facial recognition pantograph drawing robot.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Machine Intelligence and Smart Systems, MISS 2023

3rd International Conference on Machine Intelligence and Sma...

引用

3rd international conference on Machine Intelligence and Smart Systems, MISS 2023

ISBN: (纸本)9783031317224

The proceedings contain 59 papers. The special focus in this conference is on Machine Intelligence and Smart Systems. The topics include: Chronic Kidney Disease Prediction and Interpretation Using Explainable AI;systematic Review and Analysis of Artificial Intelligence-Based Breast Cancer Classification and Detection;war of Tweets: Sentiment Analysis on Ukraine Russia Conflict;Implementing HRRN for Evaluating Cloud Performance Using Reinforcement Learning;using Machine Learning for Prediction of Obstructions for Indoor Location Systems;privacy Threats and Protection in Artificial Intelligence and Machine Learning;Combining Linguistic Information with BERT for Span Based End-to-End Aspect Based Sentiment Analysis;a Dimensionality Reduction Model: A Retrospective Approach on Dementia Triggering Parameters and Feature Ranking;effective Identification of Lung Diseases Using Few-Shot Learning;comparative Study on Classification Based-data Mining Techniques in Early Diabetes Prediction;optimize Machine Learning Model for Sentiment Analysis of Online Education During Covid-19 Pandemic;review on the Challenges and Future Directions of Deep Learning-Based Techniques for Advance Prediction of Cardiac Attack;different Techniques for Detecting Plant Leaf Disease Using Machine Learning;proposed Framework of Extensive Humanoid Design Cycle and Recent Developments in Bipedal Walk;natural Language processing for Waste Management Using Public Opinions in Smart Cities;prediction of Diabetes During Pregnancy Through Fog Environment;empirical Wavelet Transform Grounded Poignant Ground Target Recognition and Classification by Seismic signal processing;A Powered-Up Classification of Disabling Distributed Network Cloud-Based Attacks Using MLPNN-BP and MLPNN-LM;stroke Prediction Framework Based on Missing Value Information and Outlier Detection by Using Machine Learning Techniques in E-Healthcare;magnetic Resonance Imaging Digitization for Brain Abnormality Recognition.

关键词：

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Machine Intelligence and Smart Systems, MISS 2023

3rd International Conference on Machine Intelligence and Sma...

引用

3rd international conference on Machine Intelligence and Smart Systems, MISS 2023

ISBN: (纸本)9783031691140

关键词：

来源：评论

学校读者我要写书评

暂无评论

Digital Resampler Based on Farrow Filter

Digital Resampler Based on Farrow Filter

引用

Digital signal processing and its Applications (DSPA), international conference on

作者： Nikita Bakholdin Vladislav Chernienko Sergei Bakhurin MIPT Moscow Russia

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

Farrow filters allow to design universal resamplers for fractional delay correction and sampling rate conversion. The use of cubic Lagrange interpolation in the Farrow filter does not allow to provide high performance resamplers due to the narrow processing band (less than 0.4F s ) and the high side lobes level of the frequency response caused by the non-smooth interpolator impulse response. The new Farrow filter structure based on the 3rd, 5th and 7th order Hermite splines and high order wide band differentiator filter is proposed in this paper. Proposed filters increases of the processing bandwidth up to 0.8F s by polynomial order increasing with additional restrictions on the derivative continuity in interpolation nodes. The proposed filters structures are optimized to minimize the multiplications for polynomial coefficients calculation. In the experimental part Farrow filter was applied to the 5G wideband signal interpolation. Farrow filter with fixed-point design can be used with such optimizations as data bit length reduction. Such techniques can reduce occupied crystal area and power consumption with controllable performance degradation.

关键词： Degradation Interpolation Filters Power demand Digital signal processing Crystals Polynomials Delays Splines (mathematics) Optimization

来源：评论

学校读者我要写书评

暂无评论

Proceedings - 2023 3rd international conference on Digital data processing, DDP 2023

Proceedings - 2023 3rd International Conference on Digital D...

引用

3rd international conference on Digital data processing, DDP 2023

ISBN: (纸本)9798350329018

The proceedings contain 39 papers. The topics discussed include: application research of dynamic load test based on sensor technology in bridge detection and evaluation;the influence of ecological agriculture tourism on rural ecological ethics based on the BPNN model;rural tourism project design and development research under DIY mode;fragment security framework for enhancing data security in cloud services;efficient resource utilization in cloud environments: a review of allocation techniques;a survey of data science for small and medium-sized enterprises (SMEs);fusing latent Dirichlet allocation with fuzzy matching for improved topic expressiveness in text mining;lateral collision model and parameter analysis of bridge structure based on sensor array;enhancing official policy document classification with BERT and keyword augmentation;and using anatomical priors to improve the accuracy of the U-Net deep neural network in segmenting medical images of the human hand.

关键词：

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296页 << < 3 4 5 6 7 8 9 10 11 12 > >>

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：