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

8,052 篇 会议
1,408 篇 期刊文献
94 册 图书

馆藏范围

9,554 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

5,713 篇 工学
- 3,846 篇 计算机科学与技术...
- 3,227 篇 软件工程
- 1,533 篇 信息与通信工程
- 928 篇 控制科学与工程
- 839 篇 电子科学与技术（可...
- 779 篇 电气工程
- 588 篇 生物工程
- 490 篇 生物医学工程（可授...
- 462 篇 光学工程
- 409 篇 机械工程
- 384 篇 仪器科学与技术
- 353 篇 动力工程及工程热...
- 314 篇 化学工程与技术
- 246 篇 安全科学与工程
- 221 篇 交通运输工程
3,051 篇 理学
- 1,530 篇 数学
- 978 篇 物理学
- 652 篇 生物学
- 530 篇 统计学（可授理学、...
- 366 篇 化学
- 318 篇 系统科学
- 216 篇 地球物理学
1,389 篇 管理学
- 880 篇 管理科学与工程(可...
- 577 篇 图书情报与档案管...
- 474 篇 工商管理
436 篇 医学
- 380 篇 临床医学
- 356 篇 基础医学(可授医学...
- 211 篇 药学(可授医学、理...
- 197 篇 公共卫生与预防医...
254 篇 法学
- 202 篇 社会学
172 篇 经济学
118 篇 农学
105 篇 教育学
39 篇 文学
16 篇 军事学
6 篇 艺术学

主题

321 篇 accuracy
265 篇 feature extracti...
253 篇 computational mo...
243 篇 deep learning
192 篇 real-time system...
176 篇 machine learning
170 篇 predictive model...
161 篇 training
147 篇 internet of thin...
147 篇 support vector m...
147 篇 optimization
122 篇 computer science
112 篇 wireless communi...
109 篇 wireless sensor ...
109 篇 visualization
108 篇 convolutional ne...
104 篇 monitoring
101 篇 data mining
94 篇 analytical model...
94 篇 artificial intel...

机构

134 篇 department of ph...
134 篇 dept. of astrono...
134 篇 dept. of physics...
134 篇 dept. of physics...
134 篇 columbia astroph...
134 篇 iii. physikalisc...
132 篇 department of ph...
131 篇 dept. of physics...
131 篇 dept. of physics...
131 篇 erlangen centre ...
131 篇 département de p...
130 篇 dept. of physics...
130 篇 school of physic...
124 篇 dept. of physics...
122 篇 dept. of physics...
120 篇 dept. of physics...
114 篇 department of ph...
112 篇 dept. of physics...
110 篇 institute of phy...
109 篇 institut für phy...

作者

132 篇 chen z.
132 篇 hoshina k.
132 篇 alameddine j.m.
131 篇 fan k.l.
130 篇 haungs a.
130 篇 gonzalez j.g.
129 篇 butterfield d.
129 篇 halve l.
129 篇 böttcher j.
129 篇 athanasiadou s.
128 篇 feigl n.
127 篇 chattopadhyay s.
127 篇 delaunay j.j.
126 篇 fürst p.
126 篇 de clercq c.
126 篇 günther c.
120 篇 diaz a.
114 篇 bourbeau e.
114 篇 gries o.
113 篇 glauch t.

语言

8,328 篇 英文
1,127 篇 其他
78 篇 中文
14 篇 日文
7 篇 朝鲜文
1 篇 德文
1 篇 法文
1 篇 斯洛文尼亚文

检索条件"机构=Dept. of Computer Science and Engineering Chalmers University of Technology"

共 9554 条记录，以下是421-430 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：

Scalable Resource Management for Latency-Sensitive Applications in Edge Computing 12

Scalable Resource Management for Latency-Sensitive Applicati...

引用

12th Electrical Power, Electronics, Communications, Controls and Informatics Seminar, EECCIS 2024

作者： Prijono, Wahyu Adi Kuswiradyo, Primatar Sahoo, Dipak Kumar Kusmaryanto, Sigit Purnomowati, Endah Budi Mustofa, Ali Universitas Brawijaya Department of Electrical Engineering Malang Indonesia Odisha University of Technology and Research Dept. of Computer Science Bhubaneswar India

ISBN: (纸本)9798350379914

Edge computing is crucial for latency-sensitive Internet of Things (IoT) applications, providing reduced latency and enhanced computational efficiency. However, ensuring low latency while maintaining scalability presents significant challenges. This paper proposes a scalable resource management algorithm using heuristic methods to optimize resource allocation and workload distribution in edge computing environments. The algorithm dynamically adjusts to real-time demands, ensuring minimal latency and efficient utilization of computational resources. Extensive simulations were conducted to evaluate the performance of the proposed algorithm compared to the Greedy Algorithm and the First-Come, First-Served (FCFS) Algorithm. The results demonstrate that the proposed heuristic algorithm significantly outperforms the baseline algorithms in terms of number of packet losses, decreased average latency by up to 38%, and better resource utilization efficiency by up to 27%. The inclusion of buffers at edge nodes to handle non-real-time traffic allows the system to prioritize real-time traffic effectively, resulting in reduced packet drops and improved overall performance. These results highlight the algorithm's potential for improving the performance and scalability of edge computing for real-time IoT applications. Future research directions include exploring advanced optimization techniques, integrating energy-efficient resource management strategies, addressing security and privacy challenges, and conducting real-world deployment and validation of the proposed algorithm. © 2024 IEEE.

关键词： Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

Rapid Construction of Diode Models Based on Physical Mechanism and Machine Learning 12

Rapid Construction of Diode Models Based on Physical Mechani...

引用

12th International Conference on Awareness science and technology, iCAST 2023

作者： Lin, Kun-Wei Li, Jia-Wei Jian, Wei-Chen Jiang, Zheng-Han Lu, Hsin-Hou dept. Computer Science and Information Engineering Chaoyang University of Technology Taichung Taiwan dept. Electrical Engineering National Cheng-Kung University Tainan Taiwan

ISBN: (纸本)9798350324693

Diodes are crucial components in electronics, with applications ranging from rectification to sensing. Traditional modeling methods are time-consuming due to manual parameter extraction. In this study, two machine learning approaches for the rapid construction of diode models were developed and compared. These two methods named the Turning Point Segmentation (TPS) and Diode Operating Range Segmentation (DORS) are based on machine learning to find turning point segmentation and fixed work interval segmentation. From the experimental results, it is known that finding the turning point with machine learning has better results. In terms of MSE, the train and test sets of TPS (DORS) are 0.008 (0.011) and 0.006 (0.019), respectively. In terms of linearity, the R2-scores of the training set and test set of TPS (DORS) are 0.992 (0.979) and 0.994 (0.961), respectively. In all data simulations, the MSE and R2 of TPS (DORS) are 0.008 (0.013), and 0.993 (0.974), respectively. Both have excellent performance in terms of time consumption. This innovative technique holds promise for revolutionizing electronics engineering and advancing the role of machine learning in modeling complex systems. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Enhancing OCR Accuracy Using Convolutional Neural Networks: A Study on Spelling Correction in Handwritten Numerals 1

Enhancing OCR Accuracy Using Convolutional Neural Networks: ...

引用

1st IEEE International Conference on Advances in Computing, Communication and Networking, ICAC2N 2024

作者： Kaushik, Priyanka Dewal, Inder Singh Singh Rathore, Sajjan Singh, Vinay Kumar, Sani Bhavani, P.M. Sindhu Chandigarh University Dept. of Computer Science Engineering Chandigarh India Madhav University Dept. of Humanities & S.Science Pindwara India Usha Martin University Dept. of Com. & Information Technology Jharkhand India Mangalayatan University Dept. of Computer Eng. & Applications Aligarh India Meenakshi A.H.Edu. & Research Dept. of Humanities & Science Chennai India

ISBN: (纸本)9798350356816

Artificial neural networks have transformed machine learning and had a significant impact on a wide range of industries, including robotics, deep learning, healthcare, sports, and surveillance. Convolutional Neural Networks (CNNs) are unique among these developments because they combine cutting-edge deep learning methods with conventional Artificial Neural Networks (ANNs). CNNs are essential for tasks like data analysis, text classification, speech and face recognition, and pattern recognition in a variety of fields. In order to improve spelling correction, this article uses a dataset that was upgraded from the National Institute of Standards & technology (NIST) and includes 70,000 grayscale pictures of handwritten numbers. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Machine Learning Approaches to Predict Post Covid-19 Severity: A Detail Case Study

Machine Learning Approaches to Predict Post Covid-19 Severit...

引用

2024 International Conference on Big Data Analytics in Bioinformatics, DABCon 2024

作者： Mathur, Richa Dutta, Ritam Bansal, Payal Kumar, Rajeev Poornima University Dept. of Computer Scinece & Engineering Rajasthan Jaipur303905 India Rajasthan Jaipur302022 India Poornima Institute of Engineering & Technology Dept. of Electronics & Comm. Engineering Rajasthan Jaipur302022 India Moradabad Institute of Technology Dept. of Computer Science & Engineering Uttar Pradesh Moradabad244001 India

ISBN: (纸本)9798350378047

The entire world has witnessed a horrific pandemic in last three years, whose long term and short-term impact to human body has been observed in large scale in these post covid-19 years. Machine learning (ML) techniques have been successfully implemented in medical field since last one decade. The emergence of post covid-19 pandemic symptoms are compelling researchers to re-search for minute detection and predict patient's probable infection rate. Long lasting chest pain, breathing issues, liver and kidney dialysis issues have been apparently visible as post covid-19 symptoms. In this paper, the journals regarding the prediction of covid-19 severity based on symptoms have been discussed. Several researchers have established deep learning-based models for the prediction. They have used the test data from the hospitals for their research process. The KNN models, ANN models, and SVM models have been discussed. The limitations of the past research process have been evaluated to be the biased test data set and missing values. The methodology that was used for the research process has been described. Mixed method of data collection was used for the research processes. The secondary data was collected from reliable sources for this research process. Considerable amount of test data has been retrieved from Kaggle database regarding post covid-19 patient's symptoms. The data analysis is performed on the Weka tool using various machine learning models. © 2024 IEEE.

关键词： COVID-19

来源：评论

学校读者我要写书评

暂无评论

Comparison of Different Sentiment Analysis Techniques for Bangla Reviews 10

Comparison of Different Sentiment Analysis Techniques for Ba...

引用

10th IEEE Region 10 Humanitarian technology Conference, R10-HTC 2022

作者： Jabin, Sanjida Suhi, Mahbuba Sumia Arefin, Md. Fahim Hasib, Khan Md. Green University of Bangladesh Dept. of Computer Science and Engineering Bangladesh Ahsanullah University of Science and Technology Dept. of Computer Science and Engineering Bangladesh

ISBN: (数字)9781665401562

ISBN: (纸本)9781665401562

Internet adoption has increased rapidly during the worldwide COVID-19 pandemic. Nowadays people not only prefer to shop using various e-commerce platforms, but also like to provide feedback and express their opinions and experiences using the online platforms. Since new customers try to understand the products' utility and acceptability from other consumers' reviews, it has become crucial to analyze the customers' sentiments and opinions on each product. In this paper, we have presented a sentiment analysis technique on the basis of product reviews written in Bangla language to better understand the combined consumer perspective. Our work aims to compare existing classifiers' performance and find the best algorithm for our dataset. We collected reviews from the leading Bangla bookselling e-commerce site '***' for this work. We implemented ML and DL classifier models and compared their overall performance on this dataset. The experimental studies show that the best accuracy is achieved from LSTM and SGD over the other implemented ML and DL based classifier models. © 2022 IEEE.

关键词： Reviews

来源：评论

学校读者我要写书评

暂无评论

Efficient Lane Detection based on Feature Aggregation for Advanced Driver Assistance Systems

Efficient Lane Detection based on Feature Aggregation for Ad...

引用

2023 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2023

作者： Jhong, Sin-Ye Ko, Ching-Hsiang Su, Yi-Feng Hua, Kai-Lung Chen, Yung-Yao National Cheng Kung University Dept. of Engineering Science Tainan Taiwan National Taiwan University of Science and Technology Dept. of Electronic and Computer Engineering Taipei Taiwan Automotive Research and Testing Center Research and Development Division Changhua Taiwan National Taiwan University of Science and Technology Dept. of Computer Science and Information Engineering Taipei Taiwan

ISBN: (纸本)9798350302714

As we enter the era of smart cars and electric vehicles, the significance of autonomous driving systems, especially crucial components like lane detection technology, increases dramatically. However, advanced solutions often face daunting challenges, especially under adverse environmental and lighting conditions, yielding varying detection results. This variability prompts automakers to enforce numerous restrictions on auxiliary functions, often deterring potential customers from upgrading relevant services. This study addresses these limitations and introduces a sophisticated deep learning-based lane detection model to supersede existing technologies. The model fuses an efficient feature extraction network with a Recurrent Feature-Shift Aggregator (RESA) and a Bilateral Up-Sampling Decoder (BUSD). These elements work harmoniously, enabling enhanced global information extraction and fortifying detection capability under challenging conditions. The methodology of this study is segregated into three parts: Efficient Backbone and Neck for feature extraction, Global Feature Enhancement Decoder for maximizing feature map details, and the actual implementation of a Lane Assist System. These modules collectively help us calculate high-accuracy lane coordinates, thereby overcoming the limitations of previous lane detection methods. Following the successful creation and validation of the model, the study extends the implementation to the Hexagon vehicle control platform, where the Lane Departure and Lane Keeping assistance systems are deployed. The proposed technology is validated through rigorous experiments and analyses, utilizing the highly recognized TuSimple dataset, custom-collected Taiwanese scene data, and actual road tests. Results illustrate high and consistent detection performance under diverse environmental conditions, validating the technology's effectiveness and feasibility. © 2023 IEEE.

关键词： Advanced driver assistance systems

来源：评论

学校读者我要写书评

暂无评论

Image Processing based Skin Cancer Recognition using Machine Learning 3

Image Processing based Skin Cancer Recognition using Machine...

引用

3rd IEEE International Conference on Intelligent Technologies, CONIT 2023

作者： Singh, Sanjay Pilania, Urmila Kumar, Manoj Awasthi, Satya Prakash Manav Rachna University Dept. of Computer Science & Technology Faridabad India Poornima University Faculty of Computer Engineering Jaipur India

ISBN: (纸本)9798350338607

The skin is the most important part of the human body because it protects bones and muscles., hence, it is the body's largest organ. Numerous people are suffering from skin cancer these days. It has now become the most common type of cancer. Melanoma is known to be a serious and mortal disease. If detected in initial stages, it can be easily treated. Non-melanoma skin cancers have also become common. Rrecognizing skin cancer automatically from the images can help in faster diagnosis and enhanced accuracy saving valuable time. In this paper, 4 types of CNN were used named VGG16, InceptionV3, ResNet152V2 and a special CNN with 12 layers. © 2023 IEEE.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Faceswap Deepfakes Detection using Novel Multi-directional Hexadecimal Feature Descriptor 19

Faceswap Deepfakes Detection using Novel Multi-directional H...

引用

19th International Bhurban Conference on Applied sciences and technology, IBCAST 2022

作者： Qurat-Ul-Ain Javed, Ali Mahmood Malik, Khalid University of Engineering and Technology Dept. of Computer Science Taxila Pakistan University of Engineering and Technology Dept. of Software Engineering Taxila Pakistan Oakland University Dept. of Computer Science and Engineering United States

ISBN: (数字)9781665460514

ISBN: (纸本)9781665460514

With the growing number of sophisticated deep learning algorithms and fake video generation applications, it is now possible to create highly realistic deepfake videos. Faceswap is the most commonly employed deepfakes approach, which is challenging to detect due to variations in the facial skin tone, illumination conditions, presence of accessories like glasses on the face, compression artifacts, etc. Existing local texture descriptors have achieved better performance on face recognition applications;however, they compute only the limited directional information while ignoring the magnitude details. This motivated us to develop a robust local texture descriptor to extract more directional and magnitude details from the adjacent pixels to effectively represent the video frames. For this purpose, we proposed a robust multi-directional hexadecimal feature descriptor (MDHFD) by combining the local hexadecimal pattern (LHeXDP) and Local Adjacent Neighborhood Magnitude Pattern (LANMP). LHeXDP calculates the orientation-based pattern by computing 1st- and 2nd-order derivatives at 0°, 45°, 90°, and 135° angles from each center pixel. LANMP computes the magnitude information from each central pixel to its adjacent pixels in horizontal, vertical, diagonal, and diagonal-back directions. Histograms of both the LHeXDP and LANMP are fused to compute a multi-directional feature vector, which is used to train a support vector machine to classify between the original or faceswap deepfakes video. We measured the performance of our system on the challenging faceswap subset of a diverse and large-scale Face Forensic++ and World Leaders datasets. Experimental results illustrate that the proposed method outperforms state-of-art methods for the detection of faceswap deepfakes. © 2022 IEEE.

关键词： Pixels

来源：评论

学校读者我要写书评

暂无评论

A Unified Deep Learning Approach for Integrating Retinal Image Diagnosis and Surgical Tool Classification 1

A Unified Deep Learning Approach for Integrating Retinal Ima...

引用

1st IEEE International Conference on Cognitive Robotics and Intelligent Systems, ICC - ROBINS 2024

作者： Jesica, J. Anitha, J. Sujitha Juliet, D. Belfin, R.V. Karunya Institute of Technology and Sciences Dept. of Data Science and Cyber Security Coimbatore India Karunya Institute of Technology and Sciences Dept. of Computer Science and Engineering Coimbatore India University of North Carolina Dept. of Neurology Chapel Hill United States

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372748

Early and accurate diagnosis by using retinal image processing is critical for enabling optimized patient care. Existing techniques for the diagnosis in medical image processing often face limitations. This research study leverages the comparative analysis of advanced Convolutional Neural Networks (CNNs), including AlexNet, InceptionV3, Xception, and EfficientNetB3;out of which EfficientNetB3 gives the comparatively higher accuracy of 84%. This research work presents a novel deep learning-based approach for detecting diseases along with the integration of Lenscraft AI. Lenscraft AI helps to segment surgical masks and identify the surgical tools used in surgical recordings using YOLOv8. The developed tool and tracking method offers a higher precision value of 0.8863 and efficiency in identifying the surgical instruments and potentially improving surgical technique for the trainee surgeons and patient safety. © 2024 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

10-point connector formed by two snap buttons

10-point connector formed by two snap buttons

引用

2024 IEEE International Conference on Consumer Electronics, ICCE 2024

作者： Yang, Chang-Ming Wu, Shu-Cing Kao, Rally Liao, Kuo-Cheng Wu, Ze-We Chen, Shih-Hung Chen, Chi-Chun Ming Young Biomedical Corp Miaoli Taiwan National Chin-Yi University of Technology Program Prospective Technology of Electrical Engineering and Computer Science Taichung Taiwan Bonanza Biotechnology Co.Ltd National Chin-Yi University of Technology Dept. of Computer Science and Information Engineering Taichung Taiwan National Chin-Yi University of Technology Dept. of Electronic Engineering Taichung Taiwan

ISBN: (纸本)9798350324136

With the rapid advancement of electronic textiles, the design and integration of connectors have emerged as pivotal challenges. This study emphasizes the development of a connection solution that amalgamates miniaturization, efficiency, and reliability, specifically tailored for Flexible Conductive Silicone Circuits. A diversified connection scheme is proposed, incorporating elements such as snaps, Pogo pins, and conductive hook-and-loop fasteners, thereby achieving an innovative and pragmatic design. Through meticulous manufacturing processes, including the utilization of hot-melt adhesive, PET films, conductive fabric, and other multilayer materials, a connection system with low impedance and commendable conductivity was successfully engineered. Impedance test outcomes have indicated that the resistance at each connection point is less than 0.7 ohms, substantiating its superior electrical properties. In terms of assembly, this research demonstrates the precise interconnection of the controller and conductive fabric circuit, ensured by metal pin technology, leading to connection stability. This solution not only furnishes appropriate connection technology for specific application scenarios but also opens new avenues and directions for connection design within the domain of electronic textiles. © 2024 IEEE.

关键词： Connectors E-Textiles Flexible Conductive Silicone Circuit PET films

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500页 << < 39 40 41 42 43 44 45 46 47 48 > >>

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：