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

191,826 篇 会议
1,982 册 图书
1,430 篇 期刊文献
8 篇 学位论文
2 篇 科技报告

馆藏范围

195,249 篇 电子文献
4 种 纸本馆藏

日期分布

学科分类号

111,799 篇 工学
- 86,467 篇 计算机科学与技术...
- 63,729 篇 软件工程
- 30,507 篇 信息与通信工程
- 14,625 篇 控制科学与工程
- 12,594 篇 电气工程
- 10,397 篇 生物工程
- 8,337 篇 电子科学与技术（可...
- 7,687 篇 机械工程
- 7,412 篇 生物医学工程（可授...
- 5,718 篇 仪器科学与技术
- 5,150 篇 光学工程
- 4,751 篇 动力工程及工程热...
- 4,546 篇 安全科学与工程
- 4,328 篇 网络空间安全
- 3,908 篇 化学工程与技术
- 3,762 篇 交通运输工程
43,383 篇 理学
- 23,679 篇 数学
- 11,208 篇 生物学
- 9,436 篇 物理学
- 7,277 篇 统计学（可授理学、...
- 5,278 篇 系统科学
- 4,055 篇 化学
32,589 篇 管理学
- 19,840 篇 管理科学与工程(可...
- 15,270 篇 图书情报与档案管...
- 9,779 篇 工商管理
6,833 篇 医学
- 5,812 篇 临床医学
- 5,439 篇 基础医学(可授医学...
- 3,266 篇 药学(可授医学、理...
5,395 篇 法学
- 4,402 篇 社会学
3,677 篇 经济学
- 3,621 篇 应用经济学
3,267 篇 教育学
2,634 篇 农学
1,510 篇 文学
537 篇 军事学
385 篇 艺术学
16 篇 历史学
13 篇 哲学

主题

9,517 篇 cloud computing
6,203 篇 computational mo...
4,701 篇 information tech...
4,650 篇 feature extracti...
4,047 篇 accuracy
3,588 篇 training
3,531 篇 data mining
3,485 篇 computer archite...
3,411 篇 image coding
3,269 篇 internet of thin...
3,163 篇 security
2,982 篇 servers
2,953 篇 mobile computing
2,912 篇 computer science
2,890 篇 protocols
2,671 篇 machine learning
2,667 篇 deep learning
2,550 篇 real-time system...
2,532 篇 educational inst...
2,458 篇 wireless sensor ...

机构

629 篇 university of ch...
554 篇 institute of com...
382 篇 school of comput...
291 篇 chitkara univers...
244 篇 maharishi school...
223 篇 university of sc...
187 篇 department of co...
169 篇 faculty of infor...
152 篇 department of co...
150 篇 faculty of compu...
143 篇 school of comput...
143 篇 department of co...
142 篇 lovely professio...
133 篇 key laboratory o...
127 篇 shenyang institu...
118 篇 maharishi school...
105 篇 school of inform...
102 篇 state key labora...
100 篇 institute of inf...
99 篇 college of infor...

作者

108 篇 lei wang
99 篇 wang lei
98 篇 leonard barolli
76 篇 yang yang
75 篇 wang wei
73 篇 zhang tao
67 篇 jian wang
65 篇 china
60 篇 wei wang
59 篇 rui wang
53 篇 bin wang
51 篇 li wei
50 篇 liu yang
48 篇 li cheng
47 篇 feng liu
46 篇 zhang lin
46 篇 xiao liu
44 篇 bastieri d.
42 篇 yongdong zhang
42 篇 yang liu

语言

190,553 篇 英文
3,339 篇 其他
1,913 篇 中文
19 篇 俄文
10 篇 法文
5 篇 阿拉伯文
3 篇 西班牙文
3 篇 葡萄牙文
3 篇 乌克兰文
2 篇 德文

检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

共 195250 条记录，以下是591-600 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：

Efficient Diabetic Retinopathy Detection using CNNs and Transfer Learning for Feature Extraction and Classification 6

Efficient Diabetic Retinopathy Detection using CNNs and Tran...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Kumar, V.T. Ram Pavan Maddineni, Tejaswi Satyanarayana, Dune Prabhu, R. Jenin Karthik, K. Raju, Kachapuram Basava Department of Computer Science Kakaraparti Bhavanarayana College Vijayawada India United States Department of CSE Aditya College of Engineering & Technology Surampalem India Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College Chennai India Department of CSE Chaitanya Bharathi Institute of Technology Hyderabad India Department of AI Anurag University Hyderabad India

ISBN: (纸本)9798331522667

Diabetic retinopathy (DR) is a significant cause of adult blindness and a common consequence in diabetes patients, with the potential for irreversible vision loss as the condition advances. Manual diagnosis of DR by ophthalmologists is a time-consuming and labor-intensive procedure. This study presents an automated method for identifying and classifying DR stages using deep learning (DL) and transfer learning techniques. Convolutional Neural Networks (CNN) and pre-trained architectures such as VGG-16, ResNet101, and DenseNet121 are used to categorize DR into five stages: 0 (No DR), 1 (Mild DR), 2 (Moderate DR), 3 (Severe DR), and 4 (Proliferative DR). The algorithm was trained on a large dataset of roughly 4,665 retinal pictures, allowing for automatic identification of DR progression. Accurate classification is provided by the deep learning algorithms by extracting important information from retinal images. Compared to conventional methods, our methodology shows great promise in handling the intricacy and diversity of retinal pictures, providing a more effective and precise way to diagnose diabetic retinopathy. © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

ReflexAI: Optimizing LLMs for Consistent and Constructive Feedback in Reflective Writing 17

ReflexAI: Optimizing LLMs for Consistent and Constructive Fe...

引用

17th international conference on Computer Supported Education, CSEDU 2025

作者： Bhojan, Anand Xin, Tan Li School of Computing National University of Singapore Singapore

ISBN: (纸本)9789897587467

Creative Media courses often require students to iteratively gather peer playtesting feedback, respond to it, and document their reflections. To streamline this process, iReflect, a web application, was developed in our previous work. Research indicates that high-quality reflective writing correlates with improved academic performance. To support this, iReflect leverages Large Language Models (LLMs) to provide automated feedback on students' reflective writings. However, LLMs face challenges such as inconsistency and inaccuracies in feedback. This research explores methods to enhance the quality of LLM-generated feedback for reflective writing. Findings reveal that repeated queries and in-context learning enhance the consistency and accuracy of feedback scores. Additionally, integrating key elements of constructive feedback into the prompts enhances the overall effectiveness and utility of the feedback. Copyright © 2025 by SCITEPRESS - Science and technology Publications, Lda.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Enhanced English Sentence Pair Classification Through KIRINLog Technique 5

Enhanced English Sentence Pair Classification Through KIRINL...

引用

5th international conference on Advances in Electrical, Electronics and computing technology, EECT 2025

作者： Ounprasert, Patthanan Anekboon, Khantharat Department of Computer and Information Sciences Faculty of Applied Science King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (纸本)9798331541545

Natural language processing is a rapidly evolving technology in an era of quick technological growth. Conventional rule-based methods are insufficient to meet the demands of today's complex challenges. One of the significant tasks in natural language processing is recognizing textual entailment. Recognizing textual entailment is vital in natural language processing as it enables systems to understand the relationship between texts, which is crucial for applications like text summarization, sentiment analysis, information verification, question answering, text classification, and machine translation. One challenge is reducing the size of the input vectors while maintaining good prediction results, F1 scores. To overcome this challenge, this research presents the novel encoding technique by reducing the encoding size for the sentences involving compositional knowledge dataset. This dataset is sentence pairs in English to classify textual entailments into three categories: entailment, neutral, and contradiction. This research proposes the KIRINLog technique, which consists of six main methods: preprocessing, removing the same word, max-length padding and truncation for sentence alignment, adding a flag value, word embedding by Word2Vec, and dimensionality re-duction with principal component analysis to reduce the size of input vector. All of six main processes are proposed to create feature vectors for recognizing textual entailment (the sentences involving compositional knowledge dataset). This study used an attention-based bidirectional LSTM as a classification model. This model combines bidirectional LSTM with an attention to make analyzing sequences in both forward and backward directions and to help the model focus on important information in the sentence. This proposed technique achieved an accuracy of 92.4%, with precision at 88.8%, recall at 88.6%, and an F1-score of 88.6% on the 2014 sentences involving compositional knowledge dataset. © 2025 IEEE.

关键词： Sentiment analysis

来源：评论

学校读者我要写书评

暂无评论

A Strong and Adaptable Watermarking Methodology for Relational Databases

A Strong and Adaptable Watermarking Methodology for Relation...

引用

2025 international conference on Intelligent Control, computing and Communications, IC3 2025

作者： Siri, Dharmapuri Sangeetha, S. Kalaiselvi, P. Devayanai, V.C. Aljawahry, Haassan M.M. Behl, Ritin Gokaraju Rangaraju Institute of Engineering and Technology Department of Cse Telangana Hyderabad India Cmr College of Engineering & Technology Department of Cse Telangana Hyderabad India Sethu Institute of Technology Department of Computer Science Engineering Pulloor Tamil Nadu Kariapatti626115 India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India College of technical engineering The Islamic University Department of computers Techniques engineering Najaf Iraq Ghaziabad201009 India

ISBN: (纸本)9798331527495

Watermarking technique refers to discreet embedding of an imprint to establish possession of the plagiarism. The current databases watermarking methods lack the ability to self-adapt to various kinds of information & exhibit inadequate robustness. The article introduces a novel and resilient initiative for watermarking databases. The plan has the capability of adapting the watermarking technique & variables to suit the particular features of quantitative & textual information. We have successfully demonstrated the effectiveness and reliability of our approach through both theoretical analysis & empirical validation, particularly in regards of its resilience & minimal information deformation. This feature renders it appropriate for objectives such as safeguarding plagiarism, identifying owners, or tracking potential traitors. © 2025 IEEE.

关键词： Automatic adaption copyright safeguarding Databases watermarking information from relationships Secure and dependable

来源：评论

学校读者我要写书评

暂无评论

A Secure and Efficient Privacy Scheme for Location-Based Services in Cloud Environments 24

A Secure and Efficient Privacy Scheme for Location-Based Ser...

引用

9th international conference on Cloud computing and Internet of Things, CCIOT 2024

作者： Pu, Tongyu Zeng, Kai Bai, Fenhua Zhang, Chi Zhang, Xiaohui Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Kunming China

ISBN: (纸本)9798400717161

Preserving privacy has become crucial in the field of location-based services (LBS) to leverage their full potential while protecting users from untrustworthy LBS providers. Given that LBS users typically use resource-constrained mobile devices, many existing privacy-preserving methods focus on anonymization. However, these methods have certain limitations regarding privacy protection and efficiency. This paper introduces a novel Privacy-preserving LBS scheme to address these issues. We develop an efficient query mechanism where users send encrypted distance queries to the server. The server then employs a PFR-tree and homomorphic encryption to filter Points of Interest (POIs) in a hierarchical manner. The PFR-tree quickly eliminates irrelevant regions based on their locations, minimizing unnecessary computations and enhancing query efficiency. Experimental results indicate that this PFR-tree-based scheme significantly reduces query time compared to traditional methods without a PFR tree, especially as the number of POIs increases, demonstrating superior performance and efficiency in scenarios with many POIs. This approach effectively meets privacy protection needs for indoor navigation in cloud environments while maintaining high efficiency and security. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Differential privacy

来源：评论

学校读者我要写书评

暂无评论

Optimized Design and Performance Evaluation of a Sonic Anemometer for Precise Wind Measurement

Optimized Design and Performance Evaluation of a Sonic Anemo...

引用

2025 international conference on Emerging Technologies for Intelligent Systems, ETIS 2025

作者： Shruthi, G. Sebastian, Akhil Prasad Arun, P. Gopika, T.G. Shafeek, P.M. Kerala Thiruvananthapuram695581 India

ISBN: (纸本)9798331507541

Precise, low-power anemometry systems are vital for weather forecasting and wind energy harvesting. The most effective and efficient type of anemometer is the ultrasonic anemometer. This research develops an Arduino-based ultrasonic anemometer using the HC-SR04 sensor with reasonable accuracy. The proposed system leverages low-power Internet of Things (IoT) devices coupled with signal processing to accomplish these objectives. © 2025 IEEE.

关键词： Network coding

来源：评论

学校读者我要写书评

暂无评论

A Novel Deep Learning Framework for Intrusion Detection: Integrating Dual-Staged Attention and Squirrel Search Optimization for Enhanced Accuracy 2

A Novel Deep Learning Framework for Intrusion Detection: Int...

引用

2nd international conference on Machine Learning and Autonomous Systems, ICMLAS 2025

作者： Mahaveerakannan, R. Poonguzhali, P.K. Murali Dhar, M.S. Vidhya, R. Natteshan, N.V.S. Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Computer Science and Engineering Tamil Nadu Chennai India Hindusthan College of Engineering and Technology Department of ECE Coimbatore India Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai600062 India Hindusthan College of Engineering and Technology Department of Computer Science and Engineering Coimbatore641032 India School of computing Kalasalingam academy of research and education TN Krishnan koil India

ISBN: (纸本)9798331505745

The rapid development of computer networks, such as the internet, has caused a sea change in the ways in which people communicate and share information. The advent of widespread computer networks like the internet has caused a sea change in traditional modes of communication and information sharing. On the other hand, this technical progress has also opened the door for malicious actors to take advantage of loopholes and steal sensitive information, disrupt operations, etc. Therefore, intrusion detection systems (IDSs) are essential for screening harmful traffic and warding off frequent attacks. These algorithms used to work by comparing current attacks to those of the past or by following a predetermined set of rules. But now that data and computing power are more accessible than ever before, machine learning seems to be the way to go. In this study, to present DSAM-CGLSTM, a dual-staged attention mechanism based on conversion-gated Long Short Term Memory network, to capture both short-term mutation and long-term dependence info in the study dataset. To enhance the network's capacity to retrieve the short-term mutation information, hyperbolic tangent functions are incorporated into the input-gate and forget-gate of LSTM. Additionally, the network incorporates a dual-staged attention mechanism, which encompasses both input attention and temporal attention. Consequently, a novel algorithm for optimising the parameters of DSAM-CGLSTM, SSA, has been suggested in this research, which is based on metaheuristics. to use a single Jupyter notebook in the Google Colaboratory environment to conduct the entire experiment. to imported and then implemented the necessary software packages, including seaborn, pandas, matplotlib, keras, besides Tensor Flow, and to used the CICIDS 2017 dataset. During the model's training and validation processes, accuracy and loss were taken into account as performance indicators. With a 98.85% accuracy score, the deep learning model performed quit

关键词： Hyperbolic functions

来源：评论

学校读者我要写书评

暂无评论

Enhancing AI Strategy in Checkers through Minimax and Alpha-Beta Pruning Techniques 1

Enhancing AI Strategy in Checkers through Minimax and Alpha-...

引用

1st international conference on Sustainable Energy Technologies and Computational Intelligence, SETCOM 2025

作者： Raut, Roshani Chaudhari, Mayur Raipalli, Shreya Banginwar, Sankalp Pimpri Chinchwad College of Engineering Department of Information Technology Pune India

ISBN: (纸本)9798331520540

This paper focuses on artificial intelligence in the game of Checkers and thus looks to further advance strategic decision-making within AI game agents. This is a problem arising in developing computationally efficient AI to scan complex board states so that optimum moves may be selected. Alpha-Beta Pruning applied with the Minimax algorithm reduces the amount of computing that needs to be done when assessing any move, thus enabling its speed and strategic playing capabilities to be increased. Results will come out of experiments regarding the proficiency of AI in competitive environments with the benefits of more efficient play, strategic placement, and adaptability. In summing this up, this way leads toward the improvement in advanced algorithms to enhance the strategic capabilities of AI as in games, thus toward generating responsive high-performance game agents. © 2025 IEEE.

关键词： Heuristic algorithms

来源：评论

学校读者我要写书评

暂无评论

Breast Cancer Detection Using ResNet and DenseNet Architecture 29

Breast Cancer Detection Using ResNet and DenseNet Architectu...

引用

29th international conference on information technology, IT 2025

作者： Pavlović, Tamara Popović, Tomo Čakić, Stevan University of Donja Gorica Faculty for Information Systems and Technologies Oktoih 1 Podgorica81000 Montenegro

ISBN: (纸本)9798331517649

Artificial Intelligence is rapidly advancing the medical field by providing innovative disease diagnosis, treatment, and research approaches. This study explores the application of artificial intelligence in breast cancer diagnostics, focusing on using convolutional neural networks and deep learning to analyze mammographic images. ResNet152 and DenseNet121 models were used to classify malignant changes, achieving AUC scores exceeding 0.9, demonstrating their clinical utility. The research emphasizes how artificial intelligence can enhance screening efficiency, expedite diagnostic processes, and facilitate personalized treatment approaches. Ethical considerations, including patient safety and the transparency of artificial intelligence systems, were also analyzed. The findings underscore the potential of artificial intelligence to transform diagnostic procedures for breast cancer and highlight the importance of further research to integrate these technologies into clinical practice. © 2025 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Fuzzy-AttnNet: A Deep Learning Framework for Image Retrieval Using Fuzzy Feature Fusion 16

Fuzzy-AttnNet: A Deep Learning Framework for Image Retrieval...

引用

2024 16th international conference on Graphics and Image Processing, ICGIP 2024

作者： Liu, Shengyu Pan, Jingshan Li, Na Hu, Tao Tian, Tangbin Qilu University of Technology Shandong Academy of Sciences Jinan China Shandong Provincial Key Laboratory of Computing Power Internet and Service Computing Shandong Fundamental Research Center for Computer Science Jinan China

ISBN: (数字)9781510688780

ISBN: (纸本)9781510688773

Image retrieval is the process of searching for similar images based on their visual content, which has significant applications in the field of medical imaging. Quickly retrieving similar images from a medical image database can assist doctors in rapid browsing and diagnosis. Although feature fusion-based descriptors have achieved great success in the field of image retrieval, there are relatively few cases of using fusion feature descriptors for image retrieval in the medical imaging field. To address this gap, we propose a novel feature extraction model, Fuzzy-AttnNet, aimed at enhancing the performance of medical image retrieval using fusion descriptors. The model simulates dilated convolutions and self-attention mechanisms, comprehensively modeling both local and global features of medical images and performing feature fusion. The fused descriptors are then applied to image retrieval. Additionally, Fuzzy-AttnNet employs a parallel optimization strategy using Arcface loss and Softmax loss, which increases intra-class spacing and significantly improves the model's recognition performance across different categories. In subclass classification tasks, Fuzzy-AttnNet demonstrates significant advantages, with an average precision improvement of approximately 10% and a recall increase of about 30%. The experimental results indicate that our proposed feature extraction model significantly enhances the accuracy of medical image retrieval. © 2025 SPIE.

关键词： Medical imaging

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 << < 56 57 58 59 60 61 62 63 64 65 > >>

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：