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

2,918 篇 会议
19 篇 期刊文献
14 册 图书

馆藏范围

2,951 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,958 篇 工学
- 1,321 篇 计算机科学与技术...
- 946 篇 软件工程
- 815 篇 信息与通信工程
- 549 篇 电气工程
- 286 篇 控制科学与工程
- 261 篇 电子科学与技术（可...
- 190 篇 仪器科学与技术
- 172 篇 生物医学工程（可授...
- 160 篇 机械工程
- 160 篇 生物工程
- 110 篇 网络空间安全
- 96 篇 光学工程
- 91 篇 动力工程及工程热...
- 77 篇 材料科学与工程（可...
- 75 篇 化学工程与技术
- 70 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
862 篇 理学
- 458 篇 数学
- 261 篇 物理学
- 184 篇 生物学
- 139 篇 化学
- 138 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
- 197 篇 临床医学
- 115 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
18 篇 教育学
14 篇 军事学
3 篇 文学

主题

221 篇 signal processin...
117 篇 signal processin...
101 篇 data mining
76 篇 feature extracti...
68 篇 big data
67 篇 digital signal p...
57 篇 data acquisition
54 篇 signal to noise ...
50 篇 machine learning
48 篇 deep learning
46 篇 data models
40 篇 support vector m...
34 篇 training
32 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

2,864 篇 英文
80 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 2951 条记录，以下是201-210 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：

3rd international conference on Optimization, Learning Algorithms and Applications, OL2A 2023

3rd International Conference on Optimization, Learning Algor...

引用

3rd international conference on Optimization, Learning Algorithms and Applications, OL2A 2023

ISBN: (纸本)9783031530357

The proceedings contain 26 papers. The special focus in this conference is on Optimization, Learning Algorithms and Applications. The topics include: Pest Detection in Olive Groves Using YOLOv7 and YOLOv8 Models;Using LiDAR data as Image for AI to Recognize Objects in the Mobile Robot Operational Environment;an Evaluation of Image Preprocessing in Skin Lesions Detection;an Artificial Intelligence-Based Method to Identify the Stage of Maturation in Olive Oil Mills;vehicle Industry Big data Analysis Using Clustering Approaches;enhancing Forest Fire Detection and Monitoring Through Satellite Image Recognition: A Comparative Analysis of Classification Algorithms Using Sentinel-2 data;An Efficient GPU Parallelization of the Jaya Optimization Algorithm and Its Application for Solving Large Systems of Nonlinear Equations;Multi-objective Optimal Sizing of an AC/DC Grid Connected Microgrid System;sub-system Integration and Health Dashboard for Autonomous Mobile Robots;movement Pattern Recognition in Boxing Using Raw Inertial Measurements;optimization Models for Hydrokinetic Energy Generated Downstream of Hydropower Plants;deep Conditional Measure Quantization;fault Classification of Wind Turbine: A Comparison of Hyperparameter Optimization Methods;Assessing the Reliability of AI-Based Angle Detection for Shoulder and Elbow Rehabilitation;deep Learning and Machine Learning Techniques Applied to Speaker Identification on Small datasets;performance of Heuristics for Classifying Leftovers from Cutting Stock Problem;Deep Learning-Based Classification and Quantification of Emulsion Droplets: A YOLOv7 Approach;identification of Late Blight in Potato Leaves Using Image processing and Machine Learning;adaptive Convolutional Neural Network for Predicting Steering Angle and Acceleration on Autonomous Driving Scenario;Impact of EMG signal Filters on Machine Learning Model Training: A Comparison with Clustering on Raw signal;assessing the 3D Position of a Car with a Single 2D Camera Usin

关键词：

来源：评论

学校读者我要写书评

暂无评论

2023 3rd international conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2023

2023 3rd International Conference on Intelligent Cybernetics...

引用

3rd international conference on Intelligent Cybernetics Technology and Applications, ICICyTA 2023

ISBN: (纸本)9798350394559

The proceedings contain 90 papers. The topics discussed include: comparative analysis of the K-Nearest neighbor method and support vector machine in human fall detection;detection myocardial infarction with deep learning algorithms using MRI data;study of feature selection algorithms to improve arrhythmia detection performance on ECG signal;individual identification using lower body skeleton joint data from kinect V2 sensors;lateral flow immunoassay based on multimodal nanoprobes for gastric cancer maker detection;designing a test case catalog based on document review for optimizing test case development process;clinical research protocol, data management, and analysis model for Epidermolysis bullosa (EB) biomedical data acquisitions towards precision medicine of Indonesian patients;development of a monitoring and guidance android application for pregnant women;and projecting vulnerability of Indonesia to particulate matter-associated lung cancer: public-accessible data analysis.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Big data Query processing Approach UsingMongoDB 3

Big Data Query Processing Approach UsingMongoDB

引用

3rd international conference on Innovative Practices in Technology and Management, ICIPTM 2023

作者： Keshav Rani, Sangeeta World College of Technology and Management Gurgaon India

ISBN: (纸本)9798350336238

The 'Big data' phrase describes to the management of a wide range of organized and unstructured data with increasing speed and quantity. These datasets are conventional, large, and difficult to maintain. However, these datasets are used within a number of companies to perform various tasks on them as well as for organizational purposes and to provide a summary of the data currently being used. More precise and accurate business judgments can be make as a result of the growing volume of big data, which is now more affordable and available. The objective of this research paper is to demonstrate how to identify and use only the most significant and important data to be used in a follow-up investigation, help other researchers perform additional analysis, take into account only a limited number of data, ensuring that the study will always provide the best results. Although there are other methods and tools to extract data with certain filters. MongoDB uses the NoSQL model as the basis for query processing. To obtain data from a large data collection, query processing is used and it will continue to play an important role in future research and strategies for this work. The behaviour of extraction of data from Big data and query processing on the bases input parameters that are going to use in Machine Learning. This process also termed as data Mining which will show the behaviour of mining data from large amount of combine data. This paper show the behaviour implementation of Mongo DB on required parameter and will produce the efficient result. © 2023 IEEE.

关键词： data mining

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Optimization, Learning Algorithms and Applications, OL2A 2023

3rd International Conference on Optimization, Learning Algor...

引用

3rd international conference on Optimization, Learning Algorithms and Applications, OL2A 2023

ISBN: (纸本)9783031530241

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on quick access recorder data preprocessing based on kernel extreme learning machine and wavelet transform 3

Research on quick access recorder data preprocessing based o...

引用

3rd international conference on Electronic Information Engineering and data processing, EIEDP 2024

作者： Liu, Yutong Bai, Jie Civil Aviation University of China Faculty of Aerospace Engineering Tianjin China

ISBN: (纸本)9781510680531

At present, the Quick Access Recorder (QAR) is the most widely used device for storing aircraft recording data. QAR data contains a wealth of valuable and unexplored information, detailing the true state of the aircraft. Therefore, the mining and development of QAR data is particularly crucial. The decoded QAR data contains a large number of outliers, and is always doped with nonlinear and non-stationary noise signals, and the wavelet denoising method is widely used in the signal field because of its simple algorithm and small amount of calculation, which improves the accuracy and efficiency of data processing. The extreme learning machine has strong learning ability and good generalization performance. In order to further improve the noise reduction effect of the sensor signal, a hybrid noise reduction method based on Kernel Extreme Learning Machine (KELM) and wavelet algorithm is proposed, which designs a filter based on the KELM algorithm to reduce the noise of the sensor signal on the one hand, and further smooths the KELM noise reduction signal by using the classical wavelet transform on the other hand, so as to further improve the noise reduction effect under the premise of ensuring that the signal is not distorted. Simulation results show that the noise reduction effect of the proposed hybrid noise reduction method is better than that of the single noise reduction method. © 2024 SPIE.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Load forecasting analysis based on the residential electricity consumption data of BP neural network 3

Load forecasting analysis based on the residential electrici...

引用

3rd international conference on Advanced Algorithms and signal Image processing, AASIP 2023

作者： Xiao, Junhao Zhang, Nan Liu, Zhu Liu, Yumin Ming, Meng Chen, Xuerui Zhang, Shuai State Grid Information and Telecommunication Group Co. Ltd. Institute of Information and Telecommunication Technology Beijing China

ISBN: (纸本)9781510668522

Due to the expansion in scale, complexity in structure, and intelligence in functionality of the power system in recent years, the amount of data generated has been increasing daily, leading the power system into a "data explosion"era. Considering the unique properties of electric energy, load forecasting plays an extremely important role in power production. In the current environment, traditional load forecasting methods are difficult to meet the operational requirements of the power system. Therefore, it has become a top priority in the field of load forecasting to effectively establish models for processing large data to improve the accuracy of load forecasting. Based on the current research status both domestically and internationally, this article proposes a method for processing big data by building an artificial neural network using the backpropagation algorithm. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

From Traditional to Deep: A Survey of Image Forgery Detection Techniques 3

From Traditional to Deep: A Survey of Image Forgery Detectio...

引用

3rd IEEE Applied signal processing conference, ASPCON 2023

作者： Mer, Parita Sunil, Reshma Diwan, Anjali Marwadi University Computer Engineering Department Rajkot India Marwadi University Ce - Ai & Big Data Rajkot India

ISBN: (纸本)9798350325881

The detection of image forgeries is a crucial area of study within the discipline of digital image analysis, with the objective of identifying and accurately determining the location of modified regions inside images. The importance of developing strong and dependable forgery detection methods has grown increasingly significant due to the widespread availability of advanced image editing tools and the growing complexity of forgery techniques. This survey paper presents a thorough examination of the comprehensive classification of methods used for detecting image forgeries. The paper considers various factors, including the type of forgery, the detection methodology applied, the evaluation metrics used for performance analysis, and the datasets utilized. The primary objective of this paper is to stimulate further progress in the field by offering valuable insights and up-to-date information on contemporary techniques in forgery detection to researchers in the field. © 2023 IEEE.

关键词： Block-Based Detection Copy Move Forgery Keypoint-Based Detection Passive Method Resampling Splicing Forgery

来源：评论

学校读者我要写书评

暂无评论

Photoelectric effect, Planck constant and MATLAB data processing 3

Photoelectric effect, Planck constant and MATLAB data proces...

引用

3rd international conference on Optics and Image processing, ICOIP 2023

作者： Zhou, Yixue Shanghai Normal University Shanghai200234 China

ISBN: (纸本)9781510667426

The measurement of photoelectric effect and Planck constant is one of the important contents of college physics experiment. The photoelectric effect and Planck constant were measured by experiments, and the volt-ampere characteristics and photoelectric characteristics of the photoelectric tube were analyzed. Matlab was used to write programs to process data and fit images. The results show that the Planck constant and the volt-ampere characteristics of the tube can be well obtained by Matlab, and the error between the measured Planck constant and the recognized value is only 3.72%. © 2023 SPIE. All rights reserved.

关键词： Photoelectricity

来源：评论

学校读者我要写书评

暂无评论

GAN-Based data Imbalance Techniques for ECG Synthesis to Enhance Classification Using Deep Learning Techniques and Evaluation 3

GAN-Based Data Imbalance Techniques for ECG Synthesis to Enh...

引用

3rd international conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2023

作者： Janbhasha, Shaik Bhavanam, S Nagakishore Harshita, Kalva Acharya Nagarjuna University Department of CSE Andhra Pradesh India Acharya Nagarjuna University Department of ECE Andhra Pradesh India CBIT Department of CSE Andhra Pradesh Hyderabad India

ISBN: (纸本)9781665494007

The prompt detection of irregularities on Electrocardiograms can be crucial in patient monitoring, deep learning-based strategy that combines segmentation and classification as one procedure has recently been effectively applied to ECG signal analysis. In the gathered ECG signals, it frequently results in an unbalanced ratio of small and large cases of numerous abnormalities. The deep network is unable to learn how to recognize minority groups because of this data imbalance. Various physiological signal analyses, medical imaging datasets have all been balanced using GANs. GAN and Deep Learning integrate well together in the healthcare, particularly for the recognition and characterization of ECG patterns. In order to improve categorization and efficiency, this study presents a comprehensive overview of the GAN strategies for data imbalance and deep learning strategies for physiological signal classification. With Cardio GAN, CNN obtained accuracy greater than 99.0 percent and performs superior classification. © 2023 IEEE.

关键词： Electrocardiograms

来源：评论

学校读者我要写书评

暂无评论

Securing Patient Information in Connected Healthcare Systems in the Age of Pervasive data Collection 3

Securing Patient Information in Connected Healthcare Systems...

引用

3rd IEEE international Mediterranean conference on Communications and Networking, MeditCom 2023

作者： Dimitrievski, Ace Loncar-Turukalo, Tatjana Trajkovik, Vladimir Faculty of Computer Science and Engineering Skopje Macedonia University of Novi Sad Centre of Excellence for Vibro-Acoustic Systems and Signal Processing Faculty of Technical Sciences Serbia

ISBN: (纸本)9798350333732

This paper explores the ethical and security challenges of integrating Internet of Things technologies into health-care systems. We examine real-world ethical dilemmas, including privacy and security of personal and medical data. We also analyze security in connected healthcare systems, focusing on securing data transmission, preventing data exfiltration, and mitigating the risk of de-anonymization of data. We propose a fog-based architecture and data avoidance principle to address and minimize the risks to patient data, intending to navigate the ethical landscape of IoT in healthcare, ensuring patient privacy. © 2023 IEEE.

关键词： data privacy

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 << < 17 18 19 20 21 22 23 24 25 26 > >>

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：