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

6,286 篇 会议
65 册 图书
32 篇 期刊文献

馆藏范围

6,383 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

3,474 篇 工学
- 2,814 篇 计算机科学与技术...
- 2,071 篇 软件工程
- 1,067 篇 信息与通信工程
- 406 篇 电气工程
- 349 篇 生物工程
- 315 篇 控制科学与工程
- 264 篇 生物医学工程（可授...
- 261 篇 电子科学与技术（可...
- 258 篇 光学工程
- 210 篇 机械工程
- 160 篇 化学工程与技术
- 141 篇 仪器科学与技术
- 115 篇 安全科学与工程
- 115 篇 网络空间安全
- 83 篇 交通运输工程
- 71 篇 动力工程及工程热...
1,734 篇 理学
- 1,177 篇 数学
- 441 篇 物理学
- 368 篇 生物学
- 232 篇 统计学（可授理学、...
- 174 篇 化学
- 141 篇 系统科学
888 篇 管理学
- 576 篇 图书情报与档案管...
- 383 篇 管理科学与工程(可...
- 145 篇 工商管理
309 篇 医学
- 289 篇 临床医学
- 170 篇 基础医学(可授医学...
- 129 篇 药学(可授医学、理...
213 篇 法学
- 160 篇 社会学
74 篇 文学
- 66 篇 新闻传播学
62 篇 教育学
51 篇 农学
37 篇 经济学
18 篇 军事学
11 篇 艺术学
2 篇 哲学

主题

454 篇 streaming media
413 篇 feature extracti...
327 篇 media
325 篇 discrete wavelet...
294 篇 wavelet transfor...
225 篇 social networkin...
223 篇 computational mo...
219 篇 sentiment analys...
213 篇 accuracy
201 篇 deep learning
175 篇 information proc...
172 篇 training
160 篇 image processing
158 篇 wavelet analysis
150 篇 visualization
149 篇 real-time system...
148 篇 natural language...
141 篇 signal processin...
138 篇 robustness
135 篇 data mining

机构

325 篇 school of comput...
111 篇 school of inform...
43 篇 school of inform...
42 篇 univ elect sci &...
40 篇 university of el...
38 篇 university of el...
29 篇 university of el...
27 篇 advanced cryptog...
26 篇 school of cybers...
25 篇 school of comput...
22 篇 school of comput...
20 篇 logist engn univ...
18 篇 department of co...
18 篇 institute of dig...
14 篇 chengdu universi...
14 篇 college of compu...
13 篇 sugon industrial...
13 篇 hubei province k...
12 篇 school of comput...
11 篇 school of comput...

作者

60 篇 li jianping
41 篇 jianping li
35 篇 jian ping li
34 篇 li jian-ping
32 篇 jian-ping li
29 篇 amin ul haq
29 篇 li jian ping
21 篇 huang yuanyuan
18 篇 wang zhou
18 篇 wen gao
15 篇 zhou wang
15 篇 di liu
15 篇 kuang ping
14 篇 bless lord y. ag...
14 篇 yujun yang
14 篇 yuanyuan huang
13 篇 ping kuang
13 篇 liu wei
13 篇 haq amin ul
13 篇 gao wen

语言

6,243 篇 英文
120 篇 其他
43 篇 中文
1 篇 土耳其文

检索条件"任意字段=International Computer Conference on Wavelet Active Media Technology and Information Processing"

共 6383 条记录，以下是51-60 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：

Visual Decoding using a Learnable wavelet-based Spatial-Spectral-Temporal EEG Embedding 13

Visual Decoding using a Learnable Wavelet-based Spatial-Spec...

引用

13th international Winter conference on Brain-computer Interface, BCI 2025

作者： Choi, Yebin Kim, Jun-Mo Choi, WooHyeok Ji, Chang-Hoon Oh, Ji-Hye Kam, Tae-Eui Dept. Human-Centered Artificial Intelligence Sangmyung University Seoul Korea Republic of Dept. Artificial Intelligence Korea University Seoul Korea Republic of

ISBN: (纸本)9798331521929

Visual decoding seeks to identify or reconstruct visual stimuli perceived by individuals based on neural activity. Although functional magnetic resonance imaging (fMRI) and magnetoencephalography (MEG) have achieved remarkable success in visual decoding, their high costs, limited portability, and real-time processing challenges necessitate alternative approaches. Electroencephalography (EEG) provides a promising solution due to its cost-effectiveness, high temporal resolution, and suitability for real-time applications. However, conventional EEG-based encoders often rely on simplistic architectures, which limits their ability to fully capture the spatial, spectral, and temporal (SST) features of EEG signals, leading to suboptimal performance. In this study, we propose a novel brain decoding framework utilizing a state-of-the-art EEG encoder specifically designed to capture the SST characteristics of EEG signals. The proposed framework was evaluated on the THINGS-EEG dataset. It achieved a mean top-1 accuracy of 19.7% and a top-5 accuracy of 50.7% in zero-shot retrieval tasks, outperforming conventional EEG encoders. These results demonstrate the potential of our method in advancing EEG-based visual decoding task. © 2025 IEEE.

关键词： Electroencephalography

来源：评论

学校读者我要写书评

暂无评论

2nd international conference on Next-Generation Computing and information Systems, ICNGCIS 2023

2nd International Conference on Next-Generation Computing an...

引用

2nd international conference on Next-Generation Computing and information Systems, ICNGCIS 2023

ISBN: (纸本)9781032738659

The proceedings contain papers. The special focus in this conference is on . The topics include: Impact of artificial intelligence on high-penetration renewable physical infrastructure;collaborative attacks and defense;building a safe and secure metaverse;distributed-computing based versatile healthcare services framework for diagnostic markers;supervised context-aware Latent Dirichlet allocation-based drug recommendation model;combination kernel support vector machine based digital twin model for prediction of dyslexia in distributed environment;Time series analysis of vegetation change using remote sensing, GIS and FB prophet;advances in smart farming for precision agriculture: Green-IoT and machine learning as a solution;Towards a serverless computing and edge-intelligence architecture for the Personal-Internet-of-Things (PIoT);IOT and developed deep learning based road accident detection system and societal knowledge management;Healthcare CAD model for hierarchical processing of surgical navigation system;applicability of eye tracking technology in virtual keyboard for human-computer interactions;a digital twin framework for smart contract-based DeFi applications in the metaverse: Towards interoperability, service scaleup & resilience;a novel approach to glass identification using ensemble learning for forensics;deep learning-based cognitive digital twin system for wrist pulse diagnostic and classification;Multi-class instance segmentation for the detection of cervical cancer cells using modified mask RCNN;dilated convolution model for lightweight neural network;artificial intelligence based Monte Carlo model for epidemic forecasting for societal aspect;efficient data visualization through novel recurrent neural network-based dimension reduction;An optimized CNN-based model for pneumonia detection;EEG-based emotion recognition: Leveraging CNNs for precision;A seven layer DNN approach for social-media multilevel image-based text classification.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Enhancing Rumor Detection Methods with Propagation Structure Infused Language Model 31

Enhancing Rumor Detection Methods with Propagation Structure...

引用

31st international conference on Computational Linguistics, COLING 2025

作者： Cui, Chaoqun Li, Siyuan Ma, Kunkun Jia, Caiyan School of Computer Science and Technology & Beijing Key Lab of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9798891761964

Pretrained Language Models (PLMs) have excelled in various Natural Language processing tasks, benefiting from large-scale pretraining and self-attention mechanism's ability to capture long-range dependencies. However, their performance on social media application tasks like rumor detection remains suboptimal. We attribute this to mismatches between pretraining corpora and social texts, inadequate handling of unique social symbols, and pretraining tasks ill-suited for modeling user engagements implicit in propagation structures. To address these issues, we propose a continue pretraining strategy called Post Engagement Prediction (PEP) to infuse information from propagation structures into PLMs. PEP makes models to predict root, branch, and parent relations between posts, capturing interactions of stance and sentiment crucial for rumor detection. We also curate and release large-scale Twitter corpus: TwitterCorpus (269GB text), and two unlabeled claim conversation datasets with propagation structures (UTwitter and UWeibo). Utilizing these resources and PEP strategy, we train a Twitter-tailored PLM called SoLM. Extensive experiments demonstrate PEP significantly boosts rumor detection performance across universal and social media PLMs, even in few-shot scenarios. On benchmark datasets, PEP enhances baseline models by 1.0-3.7% accuracy, even enabling it to outperform current state-of-the-art methods on multiple datasets. SoLM alone, without high-level modules, also achieves competitive results, highlighting the strategy's effectiveness in learning discriminative post interaction features. © 2025 Association for Computational Linguistics.

关键词： Tweets

来源：评论

学校读者我要写书评

暂无评论

An Important and Successful Multi-image Stereography-Based Secret Communication System for Military Applications 12th

An Important and Successful Multi-image Stereography-Based S...

引用

12th international conference on Frontiers of Intelligent Computing: Theory and Applications, FICTA 2024

作者： Ravi, C.N. Suhasini, T.S. Narasimharao, Jonnadula Mahendar, A. Amruthraj, B. Venkateswara Reddy, R. Department of Computer Science and Engineering CMR Engineering College Telangana Hyderabad India CMR Engineering College Telangana Hyderabad India Department of Computer Science and Engineering CMR Technical Campus Telangana Hyderabad India CMR Technical Campus Telangana Hyderabad India Department of Computer Science and Engineering CMR College of Engineering and Technology Telangana Hyderabad India CMR College of Engineering and Technology Telangana Hyderabad India

ISBN: (纸本)9789819601387

A significant factor in data transfer is computer science. Security considerations make it difficult to transmit sensitive data or have conversations via the internet. Typically, cryptography is used to transmit text-based underground messages and conceal in sequence. These days, there are numerous methods for concealing information on any media. A technique like this is steganography. The creation of a covert communication system that uses multi-image steganography will enable safe communication among the dispatcher and the recipient free from hacker intervention. Image steganography is the main technique for information hiding. It involves integrating the cipher text within a picture called the cover picture that is very difficult for strangers to view through an unassisted eye. Within a cover image, the concealed data may take the shape of any kind of text, picture, music, or even video. The secret code is split up into several pieces and etched into several cover images, according to the conceptual notion of multi-image steganography. Thus, in order to make it extremely difficult for the hackers to hide the data, we suggested two image steganography concepts. In order to create a safe and protected system, this learning suggest by means of the Advanced Encryption Standard (AES) approach of cryptography with the Least Significant Bit (LSB) method of steganography. Here, a symmetric key—which is used by both the sender and the recipient to encrypt and decode data—is used by both parties. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Stereo image processing

来源：评论

学校读者我要写书评

暂无评论

Incentivizing Crowdsensing for DT-Enabled Metaverse 20th

Incentivizing Crowdsensing for DT-Enabled Metaverse

引用

20th IFIP WG 10.3 international conference on Network and Parallel Computing, NPC 2024

作者： Ye, Dongdong Huang, Xumin Wu, Yuan Kang, Jiawen Zhong, Weifeng Niyato, Dusit School of Automation Guangdong University of Technology Guangzhou China State Key Laboratory of Internet of Things for Smart City University of Macau Taipa China Department of Computer and Information Science University of Macau Taipa China Collge of Computing and Data Science Nanyang Technological University Singapore Singapore

ISBN: (纸本)9789819628292

Digital Twin (DT) has been proposed as a key enabling technology to produce a digital clone of the physical world and facilitate the convergence of the physical and virtual worlds for building a real-world Metaverse. For physical-virtual synchronization, crowdsensing is applied to employ Internet of Things (IoT) devices to sense physical objects and collect status information for timely updating the associated DTs. However, an incentive mechanism is necessitated to stimulate the devices to perform sensing tasks while meeting task requirements such as Age of information (AoI) requirements. Thus, we adopt a contract theoretic approach to design an incentive mechanism for the devices that are classified into several types and the type parameters are unknown to others. The contract consists of a set of contract items with each contract item representing a device type, which specifies the required data updating frequency and monetary reward. We formulate an optimal contract design problem subject to feasible constraints including the average AoI requirement for each device type. Furthermore, we solve the problem by transforming it into a convex optimization problem that can be directly tackled by the existing methods. Finally, we provide numerical results to demonstrate the effectiveness and efficiency of our scheme. © IFIP international Federation for information processing 2025.

关键词： Convex optimization

来源：评论

学校读者我要写书评

暂无评论

Inside and Inside: Efficient Anomaly Detection by Fully Capturing the Detailed Dynamics

Inside and Inside: Efficient Anomaly Detection by Fully Capt...

引用

international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Ziyu Tang Xiren Zhou Ao Chen Shikang Liu Chuyang Wei Huanhuan Chen School of Computer Science and Technology University of Science and Technology of China Hefei China School of Artificial Intelligence and Data Science University of Science and Technology of China Hefei China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Anomaly detection in sequential signals is gaining prominence, especially with limited training data and timeliness requirements. Fully extracting the data-inside changing information, we propose a novel wavelet-Enhanced Reservoir Computing framework (WE-Res). Our framework uses Discrete wavelet Transform (DWT) to decompose signals for multi-level detail and trend extraction recursively. Each level is fitted using an Echo State Network (ESN) respectively, extracting its inside dynamic features into fitted models. Integrating these dynamic features creates a "multi-level dynamic feature" that enhances signal representation, aiding in distinguishing between normal and anomalous patterns. We further introduce a dual-objective optimization to refine ESNs’ reservoirs, increasing the fitting accuracy and improving category discrimination among the captured features. Validation on real-world data confirms our method’s effectiveness, especially in data-limited scenarios and less training time compared to recent baselines.

关键词： Training Accuracy Fitting Training data Signal processing Feature extraction Discrete wavelet transforms Signal representation Speech processing Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Empirical wavelet Transform Grounded Poignant Ground Target Recognition and Classification by Seismic Signal processing 1

引用

3rd international conference on Machine Intelligence and Smart Systems, MISS 2023

作者： Mittal, Aman Centre for Interdisciplinary Research in Business and Technology Chitkara University Punjab Rajpura140401 India

ISBN: (数字)9783031317231

ISBN: (纸本)9783031317224

Humans have had the ability to recognise items for hundreds of years, possibly even since they first appeared on Earth. Humans use their senses of sight, smell, hearing, taste, and touch to determine the identities of things in their immediate surroundings. Transmission of sensory organ impulses to the brain allows for the latter's processing and interpretation of the data. That's why repetition is so important for learning. The learned knowledge is put to use in a wide variety of ways, from the mundane to the crucial, such as in the areas of security, surveillance, traffic monitoring, etc. Due to the short range of the human senses and the potential dangers of working in some environments, this approach has spatial and temporal constraints. Seismic signal processing employs the wavelet transform for detection and classification. However, picking the mother wavelet is tricky because it depends on how well it fits the original signal. As a result, the empirical wavelet transform (EWT) is investigated in this research paper as a potential adaptive wavelet transform for detection and classification. In the same way as EWT does, the mother wavelet is chosen mechanically with reference to the input signal. This study shows that EWT-based detection and classification methods perform better than STFT-based methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Seismic response

来源：评论

学校读者我要写书评

暂无评论

Uncovering Bullying on Social media Platforms: A Comprehensive Study of Machine Learning Classifiers for Cyberbullying Detection 3rd

Uncovering Bullying on Social Media Platforms: A Comprehensi...

引用

3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Hamim, Hasibul Uddin, Khandaker Mohammad Mohi Mim, Mst. Nishat Tasnim Mostafiz, Rafid Based, Md. Abdul Department of Computer Science and Engineering Dhaka International University Dhaka1205 Bangladesh Department of ComputerScience and Engineering Southeast University Dhaka1208 Bangladesh Institute of Information Technology Noakhali Science and Technology University Noakhali Bangladesh

ISBN: (纸本)9789819739363

One of the most delicate concerns is cyberbullying due to today’s worldwide web advancement. Bullying may contribute to severe consequences, including mental health issues, academic performance challenges, and job dropout. It can also instill hatred in individuals or communities, making cyberbullying prevention critical. Our main goal in this paper is to mitigate the impact of cyberbullying and contribute to fostering a healthier Internet environment where individuals can interact without fear of unwarranted criticism. We propose a proactive approach involving early detection mechanisms. In this study, we employ a comprehensive analysis of tweets using multiple factors. The data is preprocessed using machine learning methods and natural language processing (NLP), followed by Term Frequency Inverse Document Frequency (TF-IDF) and Count Vectorizer. Several machine learning models, including Light Gradient Boosting Machine (LightGBM) and 12 others, are evaluated. The dataset comprises over 47,000 tweets from various perspectives. Our analysis indicates that the LightGBM classifier outperforms other models with an accuracy of 94.24%, precision of 95%, recall of 94%, and an F1-score of 94%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Development of Digital Telecommunication to Analyse and Store Complex media Data: A Way to Data Engineering

Development of Digital Telecommunication to Analyse and Stor...

引用

Advances in computer Science, Electrical, Electronics, and Communication Technologies (CE2CT), international conference on

作者： Yesu Ratnam Pachigolla Pflugerville Texas

ISBN: (数字)9798331518578

ISBN: (纸本)9798331518585

In the era of digital world data flows are saturated with development of universal multifunctional system to solve problems and to optimise the computing resources. The information system is highly loaded with modern data and large number of resources. The user request and heterogeneity of the incoming streams can be evaluated using different types of multimedia services and its requirement for computing resources and its performance with the entire data. The incoming flow of data heterogeneity is considered as the distinctive feature of request in the modern information system to support different types of multimedia services in single platform. Large volumes of data and data heterogeneity Creates numerous problems related to data storage security and the speed of digital system. To address these challenges artificial intelligence technology can be used for execution of digital telecommunication complex for processing and storing the dynamic flow of data that are in multi format. The prospects and trends can be identified to develop these models based on the perspective characteristics. The development of digital communication with multi object analytic system for storing and analysing complex data with data engineering. An fuzzy based model is used for data processing with enhanced accuracy of 98%.

关键词： Memory Multimedia computing Streaming media media Data engineering Data processing Communications technology Artificial intelligence Streams information systems

来源：评论

学校读者我要写书评

暂无评论

Delving Into Coarse-Fine Feature Interaction Alignment for UAV Object Detection

Delving Into Coarse-Fine Feature Interaction Alignment for U...

引用

international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Yanchao Bi Yang Ning Xiushan Nie School of Computer Science and Technology Shandong Jianzhu University Jinan P.R. China

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Due to limited features and dense object layouts, object detection in UAV images is challenging. Given that existing feature fusion methods have not fully explored the relationship between fine- and coarse-grained features, direct feature fusion can result in poor correlation between them, hindering the representative capability of fine-grained semantic information. To alleviate this issue, we introduce a method of Coarse-fine Feature Interaction Alignment (CFIA), which enhances the correlation between coarse-grained and fine-grained features across multi-scale feature maps through their interactive alignment. Firstly, we present the wavelet-based High-frequency Preserving Down-sampling (WHPD), utilizing wavelet transform to extract high-frequency information to enhance object boundaries, minimizing crucial fine-grained information loss. Secondly, we propose the Feature Refinement and Interaction Alignment Strategy (FRIAS), which achieves feature interaction alignment by establishing the association of feature maps between coarse-grained and fine-grained features. This enhances the representative capability of feature maps at various scales for detecting small objects. Extensive experiments on the VisDrone, CARPK, and Drone-vs-Bird datasets have demonstrated the effectiveness of the CFIA method, which is highly competitive with state-of-the-art methods. The code is available at https://***/b-yanchao/***.

关键词： wavelet transforms Correlation Semantics Layout Object detection Signal processing Feature extraction Autonomous aerial vehicles Data mining Speech processing

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 << < 2 3 4 5 6 7 8 9 10 11 > >>

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：