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

10,951 篇 会议
72 册 图书
67 篇 期刊文献
1 篇 学位论文

馆藏范围

11,091 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,996 篇 工学
- 5,581 篇 计算机科学与技术...
- 4,308 篇 软件工程
- 2,166 篇 信息与通信工程
- 1,444 篇 控制科学与工程
- 1,381 篇 电气工程
- 970 篇 生物工程
- 842 篇 电子科学与技术（可...
- 813 篇 动力工程及工程热...
- 804 篇 机械工程
- 722 篇 生物医学工程（可授...
- 688 篇 仪器科学与技术
- 563 篇 交通运输工程
- 544 篇 网络空间安全
- 536 篇 安全科学与工程
- 532 篇 光学工程
- 527 篇 化学工程与技术
- 389 篇 土木工程
- 345 篇 材料科学与工程（可...
4,250 篇 理学
- 2,032 篇 数学
- 1,108 篇 物理学
- 1,048 篇 生物学
- 696 篇 化学
- 606 篇 统计学（可授理学、...
- 381 篇 系统科学
2,239 篇 管理学
- 1,565 篇 管理科学与工程(可...
- 1,089 篇 图书情报与档案管...
- 696 篇 工商管理
598 篇 医学
- 571 篇 临床医学
- 555 篇 基础医学(可授医学...
- 368 篇 药学(可授医学、理...
338 篇 法学
316 篇 经济学
247 篇 农学
153 篇 教育学
36 篇 军事学
13 篇 文学
10 篇 艺术学

主题

284 篇 cloud computing
241 篇 computational mo...
226 篇 internet of thin...
209 篇 deep learning
176 篇 machine learning
154 篇 feature extracti...
142 篇 accuracy
140 篇 real-time system...
132 篇 support vector m...
130 篇 smart cities
117 篇 predictive model...
113 篇 optimization
112 篇 wireless sensor ...
111 篇 big data
111 篇 training
104 篇 simulation
103 篇 computer archite...
100 篇 wireless communi...
99 篇 convolutional ne...
98 篇 protocols

机构

83 篇 lovely professio...
83 篇 chitkara univers...
82 篇 department of ph...
82 篇 dept. of astrono...
82 篇 dept. of physics...
82 篇 dept. of physics...
81 篇 erlangen centre ...
81 篇 département de p...
81 篇 school of physic...
80 篇 dept. of physics...
79 篇 dept. of physics...
79 篇 dept. of physics...
78 篇 iii. physikalisc...
77 篇 department of ph...
75 篇 institut für phy...
72 篇 dept. of physics...
72 篇 dept. of physics...
72 篇 dept. of physics...
72 篇 dept. of physics...
71 篇 institut für ker...

作者

110 篇 huang f.
79 篇 haungs a.
79 篇 fürst p.
79 篇 bourbeau e.
79 篇 fritz a.
79 篇 halve l.
79 篇 gonzalez j.g.
79 篇 de clercq c.
79 篇 böttcher j.
79 篇 ha minh m.
79 篇 günther c.
79 篇 glauch t.
79 篇 delaunay j.j.
72 篇 de ridder s.
72 篇 choi k.
72 篇 an r.
72 篇 cross r.
72 篇 bradascio f.
72 篇 fan k.l.
72 篇 bastian b.

语言

10,488 篇 英文
596 篇 其他
8 篇 中文
1 篇 西班牙文
1 篇 俄文
1 篇 土耳其文

检索条件"任意字段=7th International Conference on Computing in Engineering and Technology, ICCET 2022"

共 11091 条记录，以下是891-900 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：

Detection of Fraudulent Activities in Unified Payments Interface using Machine Learning - LSTM Networks 7

Detection of Fraudulent Activities in Unified Payments Inter...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Raju, M. Naga Chandrasena Reddy, Yarramreddy Babu, Polavarapu Nagendra Pavan Ravipati, Venkata Sai Chaitanya, Velpula Seshadri Rao Gudlavalleru Engineering College Department of Information Technology Andhra Pradesh Gudlavalleru India

ISBN: (纸本)9798350372816

the rise in fraudulent activities has seen a sharp increase alongside the widespread use of digital payment systems such as the Unified Payments Interface (UPI). As a result, the need for reliable fraud detection solutions has become essential. this study introduces a novel approach to detecting UPI fraud by utilizing LSTM networks, which are specialized recurrent neural networks designed for analyzing sequential input. A novel architecture utilizing LSTM is devised to analyze UPI transactions and detect complex patterns that signify potential errors. through extensive evaluation and testing on real-world datasets, the proposed method has been found to effectively detect fraudulent transactions while minimizing errors. the findings suggest that LSTM networks hold significant promise in enhancing the security of online payment systems and also provide a solid foundation for further investigations into the use of deep learning to improve the identification of fraudulent financial transactions and address the issue of financial fraud. © 2024 IEEE.

关键词： Recurrent neural networks

来源：评论

学校读者我要写书评

暂无评论

Multiclass Brain Tumor Detection using EfficientNet B3 Model with Magnetic Resonance Imaging 7

Multiclass Brain Tumor Detection using EfficientNet B3 Model...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Prasher, Shikha Nelson, Leema Arumugam, Deepak Chitkara University Institute of Engineering & Technology Chitkara University Punjab India Saveetha University Saveetha Institute of Medical and Technical Sciences Chennai India

ISBN: (纸本)9798350372816

Deep learning models for brain tumour diseases identification have grown in importance for accurate and efficient medical imaging diagnosis. In this study, the EfficientNetB3 architecture used, a cutting-edge convolutional neural network (CNN) noted for its efficiency and performance, to create a multiclass brain tumour detection system. the goal is to categorise brain MRI scans into four types: no tumour, glioma, meningioma, and pituitary tumour. the effective use of EfficientNetB3 for brain tumour diagnosis demonstrates the utility of advanced deep learning architectures in medical picture processing. EfficientNetB3 can help healthcare practitioners diagnose and treat brain tumours, allowing for more timely treatments and personalised patient care. this study illustrates the revolutionary influence of deep learning in neuro-oncology and paves the door for improved diagnostic capabilities in brain tumour detection. © 2024 IEEE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence-based Service Chains Scheduling for Medical Emergency in Healthcare 7

Artificial Intelligence-based Service Chains Scheduling for ...

引用

7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Soni, Mukesh Rusho, Maher Ali Byeon, Haewon Alghamdi, Azzah Hannan, Shaikh Abdul Dave, Parth Rameshchandra Dr. D. Y. Patil School of Science & Technology Tathawade Dr. D. Y. Patil Vidyapeeth Marashtra Pune India University of Colorado Department of Lockheed Martin Engineering Management BoulderCO80309 United States Inje University Department of Ai and Software & Medical Big Data Research Centre Gimhae50834 Korea Republic of Imam Abdalrhman Bin Faisal University College of Computer Science and Information Technology Computer Information Systems Department Khobar Saudi Arabia AlBaha University Faculty of Computing and Information AlBaha Saudi Arabia L. D. College of Engineering Department of Computer Engineering Gujarat Ahmedabad India

ISBN: (纸本)9798350350067

this study analyses the weekly scheduling challenge of health and medical information network service function chains to meet medical emergency categorization and grading needs. Emergency services are divided into four sorts by urgency and service area, with priorities and weights. the health and medical information network architecture, service model, and operation method are built accordingly. To reduce weighted completion time, a service function chain scheduling model is created. the function chain scheduling scheme is solved by matching game and Q -learning reinforcement learning algorithms for different issue scales. Finally, simulation studies demonstrate that this approach can accomplish graded medical emergency service, build health and medical information networks, and progress smart healthcare. © 2024 IEEE.

关键词： Electronic health record

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Machine Learning Algorithms for Weather Prediction in India 7

A Comparative Study of Machine Learning Algorithms for Weath...

引用

7th international conference on Circuit Power and computing Technologies, ICCPCT 2024

作者： Sawant, Sachin S. Karandikar, Adwyte A. Dhatrak, Kanishq M. Kapse, Nikita Y. Gedam, Karna R. Gosavi, Karnajeet D. Vishwakarma Institute of Technology Department of Engineering Sciences and Humanities Pune India

ISBN: (纸本)9798350372816

Weather prediction is crucial in India due to its diverse geographical and climatic conditions. Over the recent years, machine learning has demonstrated remarkable advancements in enhancing the reliability and accuracy of weather forecasting. However, India's geographical and climatic diversity necessitates the identification of algorithms capable of providing accurate forecasts across various regions and seasons. To address this, a comprehensive comparative study was conducted, delving into the effectiveness of different machine learning algorithms for weather prediction across India. this study examines how these algorithms perform across the intricate landscape of the country, considering factors like temperature, humidity, air pressure and precipitation. By evaluating their performance under different conditions, this research aims to identify the most suitable algorithms for accurate and reliable weather forecasting across India, making it easier for researchers to analyze data source sensitivity and algorithm suitability for different types of weather parameters and the associated datasets. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

An Integrated Framework for Smart Monitoring of Orange Orchard 7

An Integrated Framework for Smart Monitoring of Orange Orcha...

引用

7th international conference on Electronics, Materials engineering and Nano-technology, IEMENTech 2023

作者： Chakraborty, Shuvam Jana, Susovan Institute of Engineering & Management Department of Information Technology Kolkata India Kolkata India

ISBN: (纸本)9798350305517

Oranges hold significant sway in the global food market, making the monitoring of their production a matter of utmost importance. Keeping track of the production procedure is the most important part of having a great yield of oranges. through the integration of cloud computing, IoT, machine learning, and advanced image analysis techniques, we aim to streamline orange orchard management. Machine learning and computer vision have brought revolutionary changes to the agricultural sector, particularly in orchard monitoring. this paper introduces an integrated framework for orchard monitoring, focusing on real-time imaging of oranges, cloud-based storage, and the application of machine learning algorithms for automated monitoring and yield notifications to farmers. Additionally, we have conducted a comparative analysis of various machine learning models to evaluate their capacity to detect and count overlapped oranges within the dataset. Our proposed framework encompasses image capture, cloud storage, and machine learning analysis, providing farmers with invaluable insights into orange production. the comparative analysis delves into the merits and limitations of different machine learning models, including the K-means and Distance Least Square, Hough Transform, and YOLOv3, addressing the challenge of detecting overlapped oranges. © 2023 IEEE.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

A Two-layer Sketch for Entropy Estimation in Data Plane 7

A Two-layer Sketch for Entropy Estimation in Data Plane

引用

7th international conference on Cloud computing and Big Data Analytics, ICCCBDA 2022

作者： Lu, Jie Zhang, Zhen Chen, Hongchang PLA Information Engineering University Zhengzhou China Purple Mountain Laboratories Nanjing China National Digital Switching System Engineering Technological RD Center Zhengzhou China

ISBN: (纸本)9781665487115

Entropy-based approaches have been shown to aid a wide variety of network measurement applications such as load balancing, anomaly detection, traffic classification. Existing entropy estimation methods require frequent interaction between forwarding and control planes which increases the burden on the network and causes unnecessary delay. In this paper, we present Filter-Sketch, a two-layer sketch that supports frequency estimation with small and static memory allocation. Based on Filter-Sketch, we propose a new generation of mechanisms to calculate entropy at a line rate which completely executes in programmable data plane. the trace-driven evaluation shows that Filter-Sketch achieves higher accuracy than the existing data plane algorithm in entropy estimation where the relative error decreases 0.65 in average. © 2022 IEEE.

关键词： Filtering Estimation Filtering algorithms Load management Entropy Frequency estimation Computer networks

来源：评论

学校读者我要写书评

暂无评论

Performance Enhancement of Raman Distributed Temperature Sensor By Piecewise Linear Compensation Algorithm 7

Performance Enhancement of Raman Distributed Temperature Sen...

引用

7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Lu, Lidong Gao, Qinghao Wang, Qingshan Bu, Xiande Su, Xingchen Zhang, Chenglong Anhui University of Technology School of Electrical and Information Engineering Maanshan China Xuji Software Technology Co. Ltd Xuji Group Co.Ltd.1 Xuchang China State Grid Smart Grid Research Institute Co. Ltd Department of Information and Communication Nanjing China

ISBN: (纸本)9781665478571

As to the Raman scattering based distributed optical fiber temperature sensing system, the temperature demodulation algorithm has great influence on the temperature measurement accuracy. So, the data for the temperature demodulation need noise suppression and position correction. In addition, the walk-off effect of Raman Stokes and Raman anti-Stokes light and the fiber reference temperature calibration restrict the long-distance distributed temperature measurement, and corresponding signal processing algorithm should be adopted to solve the above problems. Based on the typical temperature demodulation theory that relies on the Raman Stokes and anti-Stokes data, an optical fiber attenuation compensation scheme for the fiber reference temperature calibration and a signal walk-off effect correction algorithm are proposed and experimentally demonstrated, and the measurement dynamic range obtained is larger than 20dB, and along an optical fiber with length of about 8km, it achieves measurement accuracy of 0.5 °C and 1m spatial resolution. © 2022 IEEE.

关键词： Piecewise linear techniques

来源：评论

学校读者我要写书评

暂无评论

7th international conference on Innovative computing, IC 2024

7th International Conference on Innovative Computing, IC 202...

引用

7th international conference on Innovative computing, IC 2024

ISBN: (纸本)9789819741922

the proceedings contain 157 papers. the special focus in this conference is on Innovative computing. the topics include: Proactive Auto Scaling Based on Marginal Request Change Analysis for Reducing Tail Latency in Kubernetes Cluster;Integration of Generative Adversarial Networks (GAN) and AI Drawing in Criminal Sketches—Applied in Crime Scene Investigation by Law Enforcement;implementation of a High Quality Cardiopulmonary Resuscitation Teaching Intelligence Training and Assessment System;Predicting Twitter Posts from Fake Accounts Using XGBoost Model;the Interplay Between Self-regulated Learning and Programming Learning Achievement;a Study on the Continued Viewing Intention of YouTuber Videos: Experiential Marketing, Social Capital, and Habit Perspectives;an Exploratory Study on the Design of Human-Computer Interaction Interfaces for Augmented Reality Integrated Museum Exhibitions;communication-Aware Optimization of Microservice Scheduling on Edge computing;Design of Computer Model for Raw Material Supplier Selection Based on Entropy Weight TOPSIS Method;exploring How Cybersecurity Competitions Can Help Improve Students’ Practical Abilities in Cybersecurity;Adversarially Residual U2Net for COVID-19 Lung Infection Segmentation from CT Images;partnerships Analysis Based on Measurements of Common Research Interest;System Design of Operating Costs of Intelligent Healthcare Services for the AHP Algorithm;a Multi-party Private Set Union Protocol Against Malicious Adversary;analysis of the Current Status of Research on Unmanned Collaborative Equipment Above and Below Water;data Mining Analysis of New Energy Vehicles Based on Cluster Analysis technology;Two-Layer Minimum Variance FIR Filter-Based DPLL Design;fuzzy Proximity Two-Dimension Inductance Gesture Recognition System Analysis and Implement;proximity Capacitive Gesture Recognition for Recursive Neighbor Memory Neural Network;application of Genetic Algorithms in Automated Mechanical Design.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Universal Adversarial Attack Against 3D Object Tracking 23

Universal Adversarial Attack Against 3D Object Tracking

引用

23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Cheng, Riran Sang, Nan Zhou, Yinyuan Wang, Xupeng School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665494571

3D object tracking has great potential applications in computing intensive cyber-physical systems, particularly auto-nomic driving. However, Object tracking based on deep neural networks is vulnerable to adversarial examples. Previous works generate adversarial examples by applying perturbations to samples, which suffer from the generation of an individual adversarial perturbation for each sample. Algorithms have been proposed to generate a universal adversarial perturbation, which is one single perturbation able to make classifiers misclassify most images. In this paper, we propose the universal adversarial attack method against 3D object tracking. this method gen-erates adversarial samples by applying a universal adversarial perturbation to tracking templates, leading to the deviation of the predictions from the ground truth. A novel objective function, which combines confidence loss, direction loss and distance loss, generates an atomic perturbation for each tracking template. By aggregating these atomic perturbations, the universal adversarial perturbation can be derived. Experiments conducted on the KITTI dataset show that the proposed method can effectively reduce the performance of 3D object tracking. © 2021 IEEE.

关键词： Deep learning Visualization three-dimensional displays Perturbation methods Neural networks Cyber-physical systems Linear programming

来源：评论

学校读者我要写书评

暂无评论

MMSFD: Multi-grained and Multi-modal Fusion for Short Video Fake News Detection 7

MMSFD: Multi-grained and Multi-modal Fusion for Short Video ...

引用

7th international conference on Data Science and Information technology, DSIT 2024

作者： Ren, Shuai Liu, Yahui Zhu, Yaping Bing, Wanlong Ma, Hongliang Wang, Wei Shihezi University School of Information Science and Technology Shihezi China Xinjiang Production and Construction Corps Key Laboratory of Computing Intelligence and Network Information Security Shihezi China Beijing Jiaotong University School of Computer Science and Information Technology Beijing China

ISBN: (纸本)9798350384093

Short video platforms have become an essential part of people's daily lives, while also facing the challenge of the rapid spread of fake news. therefore, the detection of fake news in short videos has attracted increasing attention. Existing works mostly focus on the integration of textual and visual content, but fail to fully exploit multi-modal information at both fine-grained and coarse-grained levels. Moreover, multi-modal fake news detection is vulnerable to modality ambiguity due to potential conflicts or weak correlations between different modalities. In this paper, we propose a Multi-grained and Multi-modal fusion for Short video Fake news Detection (MMSFD). We encode textual and visual content using pre-trained models at both fine-grained and coarse-grained levels and fuse them through distinct branches. To tackle the ambiguity issue, we design a multi-modal fusion branch based on similarity weighting, as well as separate single-modal branches. Additionally, this paper presents a cross-modal attention mechanism for adaptively aggregating and reweighting features. the experimental results on a real-world short video dataset demonstrate that the proposed method outperforms state-of-the-art short video fake news detection methods. © 2024 IEEE.

关键词： Fake detection

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 << < 86 87 88 89 90 91 92 93 94 95 > >>

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：