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

145 篇 会议
1 册 图书
1 篇 期刊文献

馆藏范围

147 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

90 篇 工学
- 72 篇 计算机科学与技术...
- 64 篇 软件工程
- 37 篇 信息与通信工程
- 22 篇 生物工程
- 19 篇 生物医学工程（可授...
- 14 篇 电子科学与技术（可...
- 13 篇 电气工程
- 10 篇 控制科学与工程
- 8 篇 机械工程
- 8 篇 化学工程与技术
- 7 篇 动力工程及工程热...
- 5 篇 仪器科学与技术
- 4 篇 材料科学与工程（可...
- 4 篇 农业工程
- 4 篇 安全科学与工程
56 篇 理学
- 25 篇 数学
- 24 篇 生物学
- 18 篇 物理学
- 8 篇 化学
- 8 篇 系统科学
- 8 篇 统计学（可授理学、...
21 篇 医学
- 20 篇 临床医学
- 19 篇 基础医学(可授医学...
- 14 篇 药学(可授医学、理...
- 4 篇 公共卫生与预防医...
19 篇 管理学
- 11 篇 图书情报与档案管...
- 10 篇 管理科学与工程(可...
- 5 篇 工商管理
4 篇 农学
- 4 篇 作物学
3 篇 经济学
- 3 篇 应用经济学
2 篇 法学
1 篇 教育学
1 篇 军事学

主题

13 篇 machine learning
10 篇 signal processin...
8 篇 deep learning
7 篇 support vector m...
6 篇 electroencephalo...
4 篇 feature extracti...
4 篇 signal processin...
4 篇 machine learning...
4 篇 forecasting
3 篇 object detection
3 篇 websites
3 篇 decision trees
2 篇 covid-19
2 篇 dermatology
2 篇 signal detection
2 篇 task analysis
2 篇 anomaly detectio...
2 篇 neural networks
2 篇 learning algorit...
2 篇 robots

机构

2 篇 school of electr...
2 篇 ugam solutions c...
2 篇 school of comput...
2 篇 guangzhou power ...
2 篇 beijing world yo...
2 篇 tiangong univers...
2 篇 school of electr...
2 篇 school of busine...
2 篇 school of foreig...
2 篇 gitam university...
2 篇 nanjing universi...
2 篇 kiet group of in...
2 篇 department of el...
2 篇 school of econom...
1 篇 school of automa...
1 篇 school of comput...
1 篇 american interna...
1 篇 vit-ap universit...
1 篇 institute of sig...
1 篇 ait-cse chandiga...

作者

2 篇 pandey trilok na...
2 篇 trilok nath pand...
1 篇 tieran zheng
1 篇 zao feifei
1 篇 tyagi tanishqa
1 篇 lei wang
1 篇 aynur nahar urme
1 篇 singh priyank
1 篇 md. ariyan jahan...
1 篇 pangavhane madhu...
1 篇 zhang meifang
1 篇 chen hang
1 篇 junaid abdul man...
1 篇 saqib jahir
1 篇 sletzer concy ma...
1 篇 sathishkumar v.e...
1 篇 al juabir abdull...
1 篇 saroj kumar pani...
1 篇 mishra tasmin
1 篇 lima jose

语言

89 篇 英文
58 篇 其他
3 篇 中文

检索条件"任意字段=3rd International Conference on Signal Processing and Machine Learning, CONF-SPML 2023"

共 147 条记录，以下是21-30 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：

AI-ENABLED ANALYSIS OF 3-D CT SCANS FOR DIAGNOSIS OF COVID-19 & ITS SEVERITY

AI-ENABLED ANALYSIS OF 3-D CT SCANS FOR DIAGNOSIS OF COVID-1...

引用

IEEE international conference on Acoustics, Speech, and signal processing (ICASSP)

作者： Kollias, Dimitrios Arsenos, Anastasios Kollias, Stefanos Queen Mary Univ London London England Natl Tech Univ Athens Athens Greece

ISBN: (纸本)9798350302615

This paper describes the 3rd COVID-19 Competition, taking place in the AI-enabled medical image analysis (AIMIA) Workshop of the 2023 IEEE international conference on Acoustics, Speech and signal processing (ICASSP 2023). The 3rd COVID-19 Competition is a continuation of the Competitions held at ECCV 2022 and ICCV 2021 conferences, and aims to tackle the challenges of whole slide image and CT/MRI/X-ray analysis/processing and to identify research opportunities in the context of Digital Pathology and Radiology/COVID19. The 3rd COVID-19 Competition consists of two Challenges targeting COVID19 detection and COVID19 severity detection. Both Challenges are based on an extended version of the database used in the 1st and 2nd COV19D Competitions, the COV19-CT-DB database, which includes chest CT scan series. A large part of the COV19-CT-DB database is annotated for COVID-19 detection and consists of 8,000 3-D CT scans. About 1,000 3-D CT scans of the database are also annotated with respect to four COVID-19 severity conditions. Both parts have been split in training, validation and test datasets. These are used for training and validation of machine learning models, as well as for evaluation. The paper further describes the baseline methods for the 3rd COVID-19 Competition, which are deep learning approaches, based on CNN-RNN networks. Their performance on detecting the existence and the severity of COVID-19 is reported.

关键词： COVID-19 Competition AI-MIA COVID-19 detection COVID-19 severity COV19-CT-DB

来源：评论

学校读者我要写书评

暂无评论

EMG-based Gesture Recognition using Extreme learning machine 3

EMG-based Gesture Recognition using Extreme Learning Machine

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Tyagi, Tanishqa Pandey, Anukul Singh, Kaustubh Ranjan Delhi India

ISBN: (纸本)9798350320749

Electromyography (EMG) signals are crucial data to track muscle activities making them a key point for design of prosthetic devices. In order to classify the finger movements in upper limb prothesis, a recognition method based on an extreme learning machine (ELM) is studied in this paper. The target to be recognized is constructed by grouping two kinds of hand gestures, individual finger movements, and combined finger movements. The recognition feature matrix is established by decomposing the windowed signal using wavelet transform and extracting conventional time-domain features from that. These features are then fed to three different classifiers for recognition of binary class. Currently, the best accuracy achieved using ELM is above 95%, outperforming Support Vector machine (SVM) and Fine Trees in this study © 2023 IEEE.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Prediction of Heart Disease from the Multiple Features Available in the Database by Applying Classification Models of machine learning 3

Prediction of Heart Disease from the Multiple Features Avail...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Rajak, Akash Panda, Rabi Narayan KIET Group of Institutions Delhi-NCR Ghaziabad India

ISBN: (纸本)9798350320749

The provision of customized treatments is one of the key uses of machine learning in the healthcare industry. It enables healthcare providers to offer personalised patient care by looking into people's medical histories, symptoms, and test results. Doctors can create specialized treatments and administer medications that target ailments in individual people by using ML in medicine and healthcare. Healthcare companies can now get analyses based on patient electronic health information thanks to machine learning (ML). This enables physicians to decide on the appropriate course of treatment for the patient more quickly. In healthcare, machine learning can also assist clinicians in assessing whether a patient is prepared for necessary medication changes. This encourages starting a treatment plan properly. In this research paper, we have used classification models for forecasting the chances of heart disease. © 2023 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Research on Digital Creative Data processing System Based on Computer machine learning Model 3

Research on Digital Creative Data Processing System Based on...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Zheng, Lei Li, Mingchao School of Business Shenzhen Institute of Technology Shenzhen China

ISBN: (纸本)9798350307023

This paper proposes the design and construction method of mobile phone digital creative creation system based on machine learning. In this paper, its architecture, design and implementation are described in detail. The machine learning method based on gradient lifting regression tree is used to obtain the interaction between the communication of each process. Through the statistical analysis of the relevant data, the correlation degree of each digital creative creation is obtained. The analysis of experimental data. Further reduce the technical barriers of mobile terminal digital creativity, and improve the commercial content innovation and service efficiency of mobile terminal digital creativity. © 2023 IEEE.

关键词： Data handling

来源：评论

学校读者我要写书评

暂无评论

An ultra wideband (UWB) localization system for automatic guided vehicles (agvs) in smart warehouses 3

An ultra wideband (UWB) localization system for automatic gu...

引用

3rd international conference on signal processing and machine learning, conf-spml 2023

作者： Huang, Hao Huang, Ziyu Wang, Dexin Wang, Jiarui Xu, Xiaotian Yao, Peixin Shenzhen College of International Education Shenzhen518043 China The University of Edinburgh EdinburghEH9 3JU United Kingdom New York University Abu Dhabi P.O. Box 129188 Abu Dhabi United Arab Emirates Pacific Academy Irvine Irvine92064 United States Nanjing University of Information Science and Technology Nanjing210044 China

As the main component of indoor positioning technology, UWB technology plays an important role in promoting the development of indoor and outdoor seamless positioning technology. This paper presents a proposed localization system of a propagation channel measurement campaign performed in a smart warehouse environment whose dimension is 100 meters ∗ 100 meters and provides an extensive model for this environment. Three different arrangements of basestations are simulated to analyze the effects of basestation constellations and virtual racks are set up to determine the approximate line-of-sight (LOS) probability. At the same time, by considering the influences of varying transmit power, using weighting and using two-way ranging, the distribution of errors and the reliability threshold are drawn and the required bandwidths are determined. Finally, according to the simulation results, the optimal layout and modulation parameters are recommended, and improvements in channel models and algorithms for future work are concluded. © Published under licence by IOP Publishing Ltd.

关键词： Automatic guided vehicles

来源：评论

学校读者我要写书评

暂无评论

Optimizing Stroke Prediction in machine learning by Addressing Data Imbalance 3

Optimizing Stroke Prediction in Machine Learning by Addressi...

引用

3rd international signal processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Wang, Jiacheng Gu, Hanwen Gu, Hong School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing China University of Washington Department of Bioengineering Seattle United States

ISBN: (纸本)9798350307023

Brain strokes, responsible for about 11% of global deaths annually according to the World Health Organization, pose significant health challenges. machine learning aids in early stroke risk prediction and personalized assessment, optimizing medical resource allocation. However, the low frequency of stroke cases in datasets poses challenges for accurate stroke prediction by these models. Addressing this data imbalance is key for effective prediction. This article focuses on: (i) analyzing machine learning outcomes on imbalanced stroke dataset;(ii) comparing methods to address data imbalances;and (iii) using Automated machine learning (AutoML) techniques to achieve high accuracy while realistically identifying stroke incidents. The results demonstrate that the application of Random Under Sampling (RUS) was instrumental in identifying the top-performing model, which showed superior performance in stroke prediction. © 2023 IEEE.

关键词： Data handling

来源：评论

学校读者我要写书评

暂无评论

A machine learning Model to Classify Indian Taxi System in Tourism Industry 3

A Machine Learning Model to Classify Indian Taxi System in T...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Nayak, Krutibash Panigrahy, Saroj Kumar VIT-AP University School of Computer Science and Engineering Andhra Pradesh Amaravati522237 India

ISBN: (纸本)9798350320749

India is now becoming a tourism hotspot for tourist. To support the growing tourism industry, the taxi services play a major role and also it plays an important role in urban transportation. In view of the popularity of Taxi services, we have analyzed the sentiment of the taxi industry by taking the reviews of the customer on different taxi service providers. In this research, we addressed text sentiment analysis of taxi reviews, posted by customers on online review sites. All the reviews are based on Indian review sites only. We have compared many machine learning techniques with the dataset. To determine the sentiments of text reviews, machine learning techniques are used, which explore the feeling of a customer and also give the in-hand idea of the taxi services and its amenities. The study presents that among all the common machine learning techniques, Support Vector machine (SVM) performs better than other algorithms. Considering different evaluation parameters like Accuracy, F1Score, and Recall value, SVM gives the best result with 89%, 82%, and 86% respectively. © 2023 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on signal & Data processing, ICSDP 2023

3rd International Conference on Signal & Data Processing, IC...

引用

3rd international conference on signal and Data processing, ICSDP 2023

ISBN: (纸本)9789819795772

The proceedings contain 51 papers. The special focus in this conference is on signal and Data processing. The topics include: Toward Feature Preserving High-Resolution Virtual Try-On;Single-Qubit Quantum Teleportation Using Three-Qubit Greenberger–Horne–Zeilinger (GHZ) State as Entanglement Resource and Basis for Quantum Measurement;performance Analysis of Optical Networks Using Deep Reinforcement learning;design of Intelligent Solar Cooling System with IoT Monitoring;Analytical Review of 5G NR Channel Coding Techniques LDPC and Polar Codes;exploring Deep learning Models for Classifying Wind Profiler Doppler Power Spectrum Contaminated by Ground Clutter;Harmonic Minimization in a Three-Phase Network Using the SSA Algorithm and Instantaneous PQ Theory;Efficient Rice Yield Classification: Accelerating ANN processing on PYNQ-Z2 Processor;An Area Efficient And Improvised Fault-Tolerant FIR Filter Using Word Voter;FPGA-Based Implementation of Cuffless Blood Pressure Measurement Using Photoplethysmogram signal;the Influence of Hybrid Algorithm in Manet for Estimating the Capacity of Quality of Service;classification of Currencies as Authentic or Counterfeit: A Data-Driven Approach;sentiment Analysis in Image Caption Generation;implementation of Hybrid machine learning Algorithms in Classification of Real and Fake Profiles;image Extraction for Linear Segment in 3D Space;Suppression of Electromagnetic Emission in Electric Vehicle for EMC;Generating F1-Score to Predict Parkinson Disease with CNN Algorithm;Security and Privacy Analysis of Internet of Medical Things (IoMT) Based Smart Care Homes;machine learning Model Based on Deep Neural Networks for Emotion Detection Using Audio-Visual Modalities;enhancing the Leaf Disease Detection Through Convolutional Neural Network;a Computational Analysis of Climate Change Sentiment on Social Media;gaussian Processes for Automating Model Selection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Classification of Phishing Websites using machine learning Models 3

Classification of Phishing Websites using Machine Learning M...

引用

3rd international conference on Artificial Intelligence and signal processing, AISP 2023

作者： Raminedi, Santhosh Pandey, Trilok Nath Woonna, Venkat Amith Mascarenhas, Sletzer Concy Bharani, Arjun Vellore Institute of Technology Department of Computer Science Chennai India

ISBN: (纸本)9798350320749

Phishing attacks have become increasingly and it is a serious threat to security of the user information. It targets unsuspecting individuals through deceptive websites that appear to be legitimate. These attacks can compromise sensitive information and also have serious consequences. machine learning has a potential solution to address the growing threat of phishing. By training algorithms to recognize the tell-tale signs of phishing websites, it may be possible to detect and prevent these attacks before they can cause harm. In our paper, we explored the features of detecting the phishing url with the use of ML algorithms such as SVM, Logistic Regression, Naive Bayes classifier, and also ensembling algorithm such as Random Forest Classifier. We examine the features that are commonly used in these algorithms and compare their effectiveness in accurately classifying websites as either Phishing or Legitimate © 2023 IEEE.

关键词： Websites

来源：评论

学校读者我要写书评

暂无评论

Comparison of machine learning Methods for Classification and Diagnosis of Skin Disease 3

Comparison of Machine Learning Methods for Classification an...

引用

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

作者： Deepti, Kakarla Deepthi, S. Aruna Vasavi College of Engineering Department of Ece Hyderabad India

ISBN: (纸本)9798350358742

Skin disease is one of the most prevalent diseases around the world. To ease the complexity of conventional computational methods, deep learning techniques are adopted. By leveraging transfer learning and deep learning models, Convolution neural networks have been built, trained and evaluated. From the available data set of 10,082 using CycleGAN data augmentation a total of 39507 images are generated. One challenge faced during the implementation is mainly to improve the stability of CycleGAN during training phase. To analyze the performance of CycleGAN, three CNN models based on architecture of MobileNet, LeNet and modified LeNet are considered. A comparative analysis based on performance of three architectures is done and it is concluded that modified LeNet has outperformed with a higher accuracy of 95.03%. © 2023 IEEE.

关键词： Dermatology

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15页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：