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

771 篇 会议
5 册 图书
1 篇 期刊文献

馆藏范围

777 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

462 篇 工学
- 401 篇 计算机科学与技术...
- 230 篇 软件工程
- 134 篇 信息与通信工程
- 107 篇 电气工程
- 60 篇 生物医学工程（可授...
- 58 篇 生物工程
- 37 篇 控制科学与工程
- 33 篇 电子科学与技术（可...
- 20 篇 光学工程
- 15 篇 化学工程与技术
- 14 篇 仪器科学与技术
- 13 篇 机械工程
- 12 篇 安全科学与工程
- 11 篇 动力工程及工程热...
- 10 篇 交通运输工程
173 篇 理学
- 91 篇 数学
- 65 篇 生物学
- 43 篇 物理学
- 37 篇 统计学（可授理学、...
- 28 篇 系统科学
- 15 篇 化学
97 篇 管理学
- 63 篇 图书情报与档案管...
- 38 篇 管理科学与工程(可...
- 23 篇 工商管理
63 篇 医学
- 54 篇 临床医学
- 40 篇 基础医学(可授医学...
- 31 篇 药学(可授医学、理...
13 篇 法学
- 12 篇 社会学
13 篇 农学
- 13 篇 作物学
12 篇 教育学
- 12 篇 教育学
8 篇 经济学
1 篇 军事学

主题

207 篇 machine learning
93 篇 signal processin...
87 篇 deep learning
64 篇 signal processin...
62 篇 feature extracti...
56 篇 support vector m...
50 篇 training
49 篇 machine learning...
30 篇 neural networks
21 篇 natural language...
20 篇 image processing
16 篇 computational mo...
14 篇 prediction algor...
13 篇 svm
13 篇 sentiment analys...
13 篇 data models
12 篇 internet of thin...
12 篇 estimation
12 篇 convolutional ne...
11 篇 covid-19

机构

6 篇 college of engin...
6 篇 department of co...
4 篇 xidian universit...
3 篇 department of el...
3 篇 university of du...
3 篇 peng cheng labor...
3 篇 uttaranchal inst...
3 篇 department of el...
3 篇 national laborat...
3 篇 graphic era deem...
2 篇 kl business scho...
2 篇 khulna universit...
2 篇 khulna universit...
2 篇 northwest minzu ...
2 篇 shandong univers...
2 篇 central universi...
2 篇 imt cdl ghaziaba...
2 篇 department of co...
2 篇 school of marine...
2 篇 school of comput...

作者

8 篇 wathiq mansoor
4 篇 yassine himeur
3 篇 alavikunhu panth...
3 篇 li zheng
3 篇 abigail copiaco
3 篇 jing wang
3 篇 joel alanya-belt...
3 篇 rashid ali
3 篇 shadi atalla
3 篇 abbes amira
3 篇 lei huang
2 篇 cheng xinzhou
2 篇 sherin m. yousse...
2 篇 liashchynskyi pe...
2 篇 kumar ashwani
2 篇 sarno riyanarto
2 篇 khawla a. alnajj...
2 篇 chang ming-ching
2 篇 liu ze-guo
2 篇 taleb mohammed

语言

761 篇 英文
13 篇 其他
2 篇 西班牙文
2 篇 中文

检索条件"任意字段=5th International Conference on Signal Processing and Machine Learning, SPML 2022"

共 777 条记录，以下是231-240 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：

Clinical Named Entity Recognition Using U-Net Classification Model 5th

Clinical Named Entity Recognition Using U-Net Classification...

引用

5th international conference on Recent Innovations in Computing , ICRIC 2022

作者： Bansal, Parul Singh, Pardeep National Institute of Technology Hamirpur India

ISBN: (纸本)9789819906000

Named entity recognition (NER) is a commonly followed standard approach in natural language processing. For example, properly recognize the names of people, sites and establishments in a sentence;or some domain-specific nouns, specific objects, etc. Consequently, the natural language processing domain can more effectively tackle complex tasks, such as question answering, information extraction and machine transformation. the deep learning models which are already proposed are quite complicated and need high execution time. In this research work, the clinical entity recognition technique is proposed which is based on the three phases: pre-processing, boundary detection and classification. the approach of U-Net is applied proposed for the classification for the named entity recognition. the proposed model is implemented in Python, and results are analyzed in terms of accuracy, precision and recall. the proposed model shows approx. 5% improvements in the results for the entity recognition. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

SigFeaDet: signal Features-based UAV GPS Spoofing Detection using machine learning 29

SigFeaDet: Signal Features-based UAV GPS Spoofing Detection ...

引用

29th IEEE international conference on Parallel and Distributed Systems, ICPADS 2023

作者： Wei, Xiaomin Wang, Luyao Xidian University School of Cyber Engineering Xi'an China AVIC Aircraft Strength Research Institute of China Xi'an China

ISBN: (纸本)9798350330717

the GPS is the most common used satellite-based navigation and positioning system. It is an indispensable component for a UAV as it provides accurate location data that is critical for navigation and mission success. However, GPS spoofing attacks are becoming a growing threat to GPS-dependent systems. Most existing GPS spoofing detection methods for UAVs are proposed based on simulation data or depend on multiple UAVs. In this paper, we propose a signal feature-based GPS spoofing detection approach, SigFeaDet, for a UAV using machine learning techniques. Our basic idea is to use the anomalies of GPS signal features due to the discrepancy between normal and spoofing signals. the Carrier-to-Noise Density Ratio (CN0) and Doppler frequency are significant signal features for GPS satellite positioning, which can be applied to identify spoofing signals. Various machine learning algorithms are applied to train with normal and spoofing data to choose the best classifier. the open GPS dataset TEXBAT is processed to obtain signal data and we also perform flight experiments to collect GPS data to augment normal GPS signal dataset. the detection rate is more than 94.8% and the equal error rate (EER) is about 5%, and the detection period is only 0.4 second. © 2023 IEEE.

关键词： CN0 Doppler frequency GPS spoofing attack GPS spoofing detection UAV

来源：评论

学校读者我要写书评

暂无评论

Data Poisoning Attack by Label Flipping on SplitFed learning 5th

Data Poisoning Attack by Label Flipping on SplitFed Learning

引用

5th international conference on Recent Trends in Image processing and Pattern Recognition (RTIP2R)

作者： Gajbhiye, Saurabh Singh, Priyanka Gupta, Shaifu Indian Inst Technol Jammu Nagrota India Dhirubhai Ambani Inst Informat & Commun Technol Gandhinagar India

ISBN: (纸本)9783031235986;9783031235993

In the distributed machine learning scenario, we have Split learning (SL) and Federated learning (FL) as the popular techniques. In SL, the model is split between the clients and the server for sequential training of clients, whereas in FL, clients train parallelly. the model splitting in SL provides better overall privacy than FL. SplitFed learning (SFL) combines these two popular techniques to incorporate the model splitting approach from SL to improve privacy and utilize the generic FL approach for faster training. Despite the advantages, the distributed nature of SFL makes it vulnerable to data poisoning attacks by malicious participants. this vulnerability prompted us to study the robustness of SFL under such attacks. the outcomes of this study would provide valuable insights to organizations and researchers who wish to deploy or study SFL. In this paper, we conduct three experiments. Our first experiment demonstrates that data poisoning attacks seriously threaten SFL systems. Even the presence of 10% malicious participants can cause a drastic drop in the accuracy of the global model. We further perform a second experiment to study the robustness of two variants of SFL under the category of targeted data poisoning attacks. the results of experiment two demonstrate that SFLV1 is more robust than SFLV2 the majority of times. In our third experiment, we studied untargeted data poisoning attacks on SFL. We found that untargeted attacks cause a more significant loss in the global model's accuracy than targeted attacks.

关键词： SplitFed learning Federated learning Adversarial machine learning Label flipping Data poisoning

来源：评论

学校读者我要写书评

暂无评论

2022 international conference on Intelligent Systems and Computer Vision, ISCV 2022

2022 International Conference on Intelligent Systems and Com...

引用

5th international conference on Intelligent Systems and Computer Vision, ISCV 2022

ISBN: (纸本)9781665495585

the proceedings contain 71 papers. the topics discussed include: a new sampling strategy to improve the performance of mobile robot path planning algorithms;machine learning based methods for Arabic duplicate question detection;robust traffic signs classification using deep convolutional neural network;image-based visual servoing techniques for robot control;SASHA: a shift-add segmented hybrid approximated multiplier for image processing;graph based method for Arabic text summarization;face information forensics analysis based on facial aging: a survey;advanced financial data processing and labeling methods for machine learning;and recognition system of human activities based on time-frequency features of accelerometer data.

关键词：

来源：评论

学校读者我要写书评

暂无评论

machine learning on Web: Skin Lesion Classification using CNN 5

Machine Learning on Web: Skin Lesion Classification using CN...

引用

5th international conference on Inventive Computation Technologies (ICICT)

作者： Kumar, Senthil R. Singh, Amarjeet Srinath, Sparsha Arasu, Vishal thomas, Nimal Kurien New Horizon Coll Engn Comp Sci & Engn Dept Bangalore Karnataka India

ISBN: (数字)9781665408370

ISBN: (纸本)9781665408387;9781665408370

this paper summarizes the different methods that can be employed to perform any type of disease classification using a Web Application. the modus operandi involves the use of Convolutional Neural Networks to diagnose and identify the skin lesion with the help of ISIC dataset that accommodates 2747 training images. the model provides an accuracy of 90% while classifying the training dataset as one of the following categories- melanoma, nevus, seborrheic keratosis and benign. the Flask Web Framework is employed to create the user interface and embed the pre trained model into the backend. the skin cancer patient can simply upload the skin image and receive an immediate classification among the abovementioned classes.

关键词： Deep learning Models Tensorflow Image processing Flask Web Framework Keras Convolutional Neural Networks

来源：评论

学校读者我要写书评

暂无评论

Determining Exercise Form Correctness in Real Time using Human Pose Estimation 23

Determining Exercise Form Correctness in Real Time using Hum...

引用

5th international conference on Image, Video and signal processing, IVSP 2023

作者： Bernardo, Jacob Simon Divinagracia, Emanuel Franz Go, Kendra Kirsten Ateneo Laboratory for Intelligent Visual Environment Ateneo de Manila University Philippines

ISBN: (纸本)9781450398381

Weightlifting is one of the most common activities for improving physical fitness and overall health. By improving muscle strength and boosting endurance, weightlifting exercises help people lower their risk for some diseases. However, performing exercises with the wrong form negates these benefits and even puts the person at risk of injury. this study aims to help individuals keep a proper form when lifting, focusing on bicep curls. It uses OpenPose to detect a person's joints and evaluates whether the bicep curl is good or bad using neural networks. If the form was bad, it uses three more models to determine the error in movement: (1) elbow instability, (2) swaying torso, or (3) limited range of motion. Trained on a total of 600 reps of bicep curls, the good/bad classifier had an accuracy of 90.83% while the three subsequent models were 92.5%, 90%, and 95% accurate, respectively. An interface allows users to see their movement and view the resulting feedback in real time. © 2023 ACM.

关键词： machine learning

来源：评论

学校读者我要写书评

暂无评论

Rainfall Prediction Using machine learning 4th

Rainfall Prediction Using Machine Learning

引用

4th international conference on machine Intelligence and signal processing, MISP 2022

作者： Prathibha, K. Rithvik Reddy, G. Kosre, Harsh Lohith Kumar, K. Rajak, Anjali Tripathi, Rakesh Department of Information Technology National Institute of Technology Raipur Raipur492010 India

ISBN: (纸本)9789819900848

Rainfall plays an essential role in agriculture and water level management in the reservoir. the unpredictable amount of rain due to weather changes can cause crops and reservoirs. To avoid calamities induced by rainfall activities, an action must be taken that forecasts future rainfall uncertainty behavior. To estimate rainfall, a variety of strategies have been developed. In this study, we employ numerous machine learning methods to estimate rainfall. To predict rainfall, we evaluate and compare several machine learning models such as Random Forest, Extra Trees, Adaptive Boosting, Gradient Boosting, Multilayer Perceptron, and Gaussian naïve Bayes. All these algorithms are evaluated on the WeatherAUS dataset. the numerical result shows that the Random Forest and Extra Tree classifiers outperformed with an accuracy of 85.5% and 85.6%, respectively, according to the experimental data. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Rain

来源：评论

学校读者我要写书评

暂无评论

Real-Time Super-Resolution for Real-World Images on Mobile Devices 5

Real-Time Super-Resolution for Real-World Images on Mobile D...

引用

IEEE 5th international conference on Multimedia Information processing and Retrieval (MIPR)

作者： Cai, Jie Meng, Zibo Ding, Jiaming Ho, Chiu Man OPPO US Res Ctr Palo Alto CA 94303 USA

ISBN: (数字)9781665495486

ISBN: (纸本)9781665495486

Image Super-Resolution (ISR), which aims at recovering High-Resolution (HR) images from the corresponding Low-Resolution (LR) counterparts. Although recent progress in ISR has been remarkable. However, they are way too computationally intensive to be deployed on edge devices, since most of the recent approaches are deep learning based. Besides, these methods always fail in real-world scenes, since most of them adopt a simple fixed "ideal" bicubic downsampling kernel from high-quality images to construct LR/HR training pairs which may lose track of frequency-related details. In this work, an approach for real-time ISR on mobile devices is presented, which is able to deal with a wide range of degradations in the real-world scenarios. Extensive experiments on traditional super-resolution datasets (Set5, Set14, BSD100, Urban100, Manga109, DIV2K) and real-world images with a variety of degradations demonstrate that our method outperforms the state-of-art methods, resulting in higher PSNR and SSIM, lower noise and better visual quality. Most importantly, our method achieves real-time performance on mobile or edge devices.

关键词： Training Degradation Visualization Runtime Quantization (signal) Power demand Image edge detection

来源：评论

学校读者我要写书评

暂无评论

3rd Workshop on Social Affective Multimodal Interaction for Health (SAMIH) 22

3rd Workshop on Social Affective Multimodal Interaction for ...

引用

24th ACM international conference on Multimodal Interaction (ICMI)

作者： Tanaka, Hiroki Nakamura, Satoshi Shidara, Kazuhiro Martin, Jean-Claude Pelachaud, Catherine Nara Inst Sci & Technol Nara Japan Univ Paris Saclay CNRS LISN Gif Sur Yvette France

ISBN: (纸本)9781450393904

this workshop discusses how interactive, multimodal technology such as virtual agents can be used in social skills training for measuring and training social-afective interactions. Sensing technology now enables analyzing user's behaviors and physiological signals. Various signal processing and machine learning methods can be used for such prediction tasks. Such social signal processing and tools can be applied to measure and reduce social stress in everyday situations, including public speaking at schools and workplaces.

关键词： cognitive behavioral therapy motivational interview social skills training social signal processing affective computing physiological signal processing virtual agents social robotics

来源：评论

学校读者我要写书评

暂无评论

Sorting robot based on fuzzy PID and machine vision 5

Sorting robot based on fuzzy PID and machine vision

引用

5th international conference on Computer Information Science and Application Technology, CISAT 2022

作者： Guo, ZiChen Wang, KaiLong Lu, Fang School of Electrical and Information Engineering ZhengZhou Univ 100 Science Ave HA ZhengZhou450001 China School of mechanical and power engineering ZhengZhou Univ 100 Science Ave HA ZhengZhou450001 China

ISBN: (纸本)9781510660076

this paper develops a sorting robot which aims to shorten the time required for express sorting or shelf sorting, and solve the problems of low efficiency, high error rate and high labor cost of traditional manual sorting. It can quickly and accurately complete package identification and placement. the robot uploads data and receives commands through the 4G module. the robotic arm grabs and places the package, and uploads its own status and package information to the cloud platform. Data processing and information display are performed by the platform to improve the efficiency of parcel sorting, and the robot is used to replace manual labor and large-scale equipment to reduce costs. Use deep learning to process camera-collected data for barcode recognition and autonomous movement. © 2022 SPIE.

关键词： three term control systems

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78页 << < 20 21 22 23 24 25 26 27 28 29 > >>

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：