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

77,941 篇 会议
49,015 篇 期刊文献
1,357 册 图书

馆藏范围

128,313 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

78,115 篇 工学
- 52,438 篇 计算机科学与技术...
- 42,383 篇 软件工程
- 18,898 篇 信息与通信工程
- 12,833 篇 控制科学与工程
- 10,692 篇 电气工程
- 9,893 篇 电子科学与技术（可...
- 9,600 篇 生物工程
- 7,717 篇 生物医学工程（可授...
- 6,820 篇 光学工程
- 5,207 篇 机械工程
- 4,537 篇 化学工程与技术
- 4,282 篇 动力工程及工程热...
- 4,084 篇 仪器科学与技术
- 3,622 篇 材料科学与工程（可...
- 3,264 篇 网络空间安全
- 3,090 篇 安全科学与工程
46,335 篇 理学
- 22,777 篇 数学
- 15,243 篇 物理学
- 11,026 篇 生物学
- 7,578 篇 统计学（可授理学、...
- 5,193 篇 化学
- 4,974 篇 系统科学
20,359 篇 管理学
- 12,774 篇 管理科学与工程(可...
- 8,253 篇 图书情报与档案管...
- 6,034 篇 工商管理
7,976 篇 医学
- 6,453 篇 临床医学
- 5,684 篇 基础医学(可授医学...
- 3,417 篇 药学(可授医学、理...
- 3,376 篇 公共卫生与预防医...
3,837 篇 法学
- 3,254 篇 社会学
2,328 篇 经济学
1,740 篇 农学
1,456 篇 教育学
637 篇 文学
256 篇 军事学
177 篇 艺术学
27 篇 哲学
19 篇 历史学

主题

3,568 篇 accuracy
3,319 篇 computer science
3,153 篇 deep learning
2,759 篇 machine learning
2,595 篇 computational mo...
2,566 篇 feature extracti...
2,387 篇 training
1,705 篇 predictive model...
1,650 篇 internet of thin...
1,636 篇 artificial intel...
1,618 篇 real-time system...
1,607 篇 optimization
1,557 篇 convolutional ne...
1,503 篇 support vector m...
1,350 篇 data models
1,153 篇 data mining
1,143 篇 neural networks
1,117 篇 semantics
1,077 篇 wireless sensor ...
1,019 篇 security

机构

1,090 篇 cavendish labora...
1,018 篇 department of ph...
965 篇 physikalisches i...
952 篇 university of ch...
948 篇 oliver lodge lab...
566 篇 fakultät physik ...
552 篇 department of el...
540 篇 school of physic...
538 篇 horia hulubei na...
538 篇 department of ph...
532 篇 imperial college...
529 篇 school of physic...
512 篇 h.h. wills physi...
504 篇 stfc rutherford ...
500 篇 nikhef national ...
496 篇 school of comput...
483 篇 henryk niewodnic...
478 篇 center for high ...
475 篇 van swinderen in...
475 篇 school of physic...

作者

268 篇 a. gomes
262 篇 niyato dusit
254 篇 barter w.
251 篇 c. alexa
250 篇 d. calvet
248 篇 j. m. izen
242 篇 s. chen
240 篇 c. amelung
239 篇 g. bella
239 篇 j. strandberg
232 篇 beiter a.
229 篇 blake t.
223 篇 bellee v.
223 篇 bowcock t.j.v.
219 篇 betancourt c.
218 篇 amato s.
216 篇 boettcher t.
215 篇 g. spigo
215 篇 brundu d.
215 篇 borsato m.

语言

117,706 篇 英文
9,358 篇 其他
1,203 篇 中文
122 篇 日文
23 篇 德文
13 篇 法文
11 篇 朝鲜文
7 篇 斯洛文尼亚文
4 篇 西班牙文
3 篇 荷兰文
3 篇 俄文

检索条件"机构=Department of Computer Science and Engineering School of Computing"

共 128313 条记录，以下是391-400 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：

Pseudocode to Python - A Compiler Approach 8

Pseudocode to Python - A Compiler Approach

引用

8th IEEE International Conference on Computational System and Information Technology for Sustainable Solutions, CSITSS 2024

作者： Mokshit, P. Prasad, P. Syam Reddy, N. Sumanth Belwal, Meena Amrita School of Computing Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331505462

The transformation of pseudocode to Python is vital as it enables students to concentrate on the algorithms while not being distracted by the syntax and also is the key stage in software development and computer science education. This research gives a good programmer-design tool for turning pseudocode into Python,The compiler supports basic data types, control structures, loops, and functions which are the main components of the introductory programming courses. It consists of three main components: lexical analysis, syntax analysis, and code generation are the major processes of an interpreter. The implementation seeks to offer a swift and dependable way of the transformation of pseudocode to Python, thereby accelerating software development processes and improving the educational experiences. © 2024 IEEE.

关键词： Python

来源：评论

学校读者我要写书评

暂无评论

Graph-Based Approaches to Detect Network Anomalies and to Predict Attack Spread 15

Graph-Based Approaches to Detect Network Anomalies and to Pr...

引用

15th International Conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Rithuh Subhakkrith, S. Kumar, Y. Jagadish Harish, R. Dheeraj, B. Vishnu Vidhya, S. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798350370249

Real world applications of data structures is enormous. Queues, stacks, trees, and graphs are commonly applied and implemented across various fields. To improve the efficiency of such implementations, optimisation through the underlying data structure can be considered. computer networks inherently are based on graphs with communicating systems as nodes and communication channels as edges. Information flows between the communicating systems through the communication channel. To detect suspicious connections and information flow, an optimal graph structure is implemented by modelling the information flow as edges, and retaining the communicating systems as nodes. Graph analytics is performed to capture graphical relationships, and the final graph structure is formed with the features of the information flow split into node features and edge features. Then this graph structure is passed to Graph Neural Networks (GNN) that captures hidden relationships of the graph, and transforms these graph features in such a way that basic Machine Learning models like k-Nearest Neighbors (KNN), Support Vector Classifier (SVC), and Random Forest can train themselves and model into better anomalous connection classifiers. Eleven baseline models are trained using the traditional way, and using GNN transformed embeddings, and their performances are observed. Testing shows that all models show an improvement in the evaluatory scores. Finally, a logic is provided to build an attack sequence graph to track the route in which the attack spreads among infected systems. © 2024 IEEE.

关键词： Attack Sequence Graph Edge Classification Graph Analytics Graph Neural Networks Network Security

来源：评论

学校读者我要写书评

暂无评论

Banana Freshness Classification: A Deep Learning Approach with VGG16 6th

Banana Freshness Classification: A Deep Learning Approach wi...

引用

6th International conference on communication and computational technologies, ICCCT 2024

作者： Patre, Falguni Vasant Arya, Aditya Saranya, G. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Chennai India

ISBN: (纸本)9789819774227

In the food sector, ensuring the safety and quality of banana products is crucial. The classification of bananas into "fresh banana" and "rotten banana" categories is the main objective of this study. The studied banana varieties are cavendish, lady fingers, and red bananas. We use the VGG16 deep convolutional neural network with a dataset of high-resolution banana images. Our method includes training-testing ratios, picture enhancement, and rigorous data preprocessing. The results indicate how well the VGG16 model performs in classifying freshness, with good recall, accuracy, precision, and F1-score. Additionally, the model successfully differentiates between cavendish, lady finger, and red bananas, highlighting its capacity to handle minute variations. This work expands the application of image classification to other fruit varieties by offering a dependable technique for quality control and automated evaluation of banana freshness. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Food industry

来源：评论

学校读者我要写书评

暂无评论

Thyroid Disease Prediction Using Machine Learning Techniques

Thyroid Disease Prediction Using Machine Learning Techniques

引用

2024 IEEE International Conference on Electronic Systems and Intelligent computing, ICESIC 2024

作者： Kumar, Sompalli Pranath Reddy, Pasuladi Narsimha Nivethitha, V. Sriram, Suthir Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331522988

Thyroid disorders are primarily observed in people in the age range of 30 to 60 years;however, the disease is said to be very prevalent in women. Some of the risk factors for thyroid disorders include other diseases that are autoimmune in nature, a family history of thyroid disease, and past exposure to radiation of the neck. More correctly, thyroid diseases are meaningful metabolic disorders and determinants of health. Toward this end, this study used a large dataset from the patient medical record to predict the onset of thyroid disease. The models that are used in this work are K-Nearest Neighbors (KNN), Multi-Layer Perceptron (MLP), Support Vector Machine (SVM), Logistic Regression, and Naive Bayes. Further each of the models' performances is also assessed based on recall, accuracy, and precision. The MLP model developed a good predictive ability in comparison with the other models, along with an accuracy of 99.4 percent. Therefore, this study puts forward a very important message concerning the vital importance of machine learning. © 2024 IEEE.

关键词： Support vector regression

来源：评论

学校读者我要写书评

暂无评论

Advancing of Microservices Architecture with Dockers 15

Advancing of Microservices Architecture with Dockers

引用

15th International Conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Sah, Kriti Priya Jain, Nikunj Jha, Priyanshu Hawari, Jawed Beena, B.M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350370249

Docker has revolutionized web hosting. It offers efficiency, scalability, security, and automation. With Docker, businesses and individuals can simplify their hosting. With the help of Docker, the development process is simplified via managing to package the application into standardized units called containers. They can enhance website performance and contribute to a sustainable digital ecosystem. Micro-service architecture might be adopted for smooth flow for the development process. Resource optimization might get improved. Security measures could be bolstered. Multi-cloud deployment strategies may be explored. Server-less computing integration is a possibility. Containerized data storage solutions might be explored. . In the future, Docker based hosting could involve Kubernetes for container orchestration. Machine learning capabilities could be incorporated. Green computing initiatives might be implemented. ©2024 IEEE.

关键词： Plastic bottles

来源：评论

学校读者我要写书评

暂无评论

Deep Learning based Approach to Streamline Resume Categorization and Ranking 5

Deep Learning based Approach to Streamline Resume Categoriza...

引用

5th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2024

作者： Ramyar, R. Nagarani, Gundapaneni Natarajan, S. Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331518097

In today's world, a lot people are searching and applying for jobs. When there is a need for company to recruit new employees, it is difficult for them to select the correct resume according to their job description from the lakhs of resume that they received. This project will help the recruiters to select the accurate resume with relevance to their job description. It will produce resumes which matches the best with the recruiter's job description by matching the skills, experience of resume with the job description. Used various advanced natural language processing models and deep learning models to provide more accurate results than any other existing models. With these methods the model achieved accuracy of 98%. Also, system will send mail to those people whose resume has not matched much with the job description stating the reason like what lacks in their resume when compared with job description. This will be helpful for candidates to know what lacks in them. Also, for the HR, interview questions will be generated according to each candidate resume. This will reduce the Reduce HR's work for preparing interview questions for each person. © 2024 IEEE.

关键词： Apprentices

来源：评论

学校读者我要写书评

暂无评论

From Posts to Personas: Classifying Users in the Social Media Landscape 5

From Posts to Personas: Classifying Users in the Social Medi...

引用

5th International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2024

作者： Nair, Lekshmi S. Cheriyan, Jo Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India Department of Computer Science and Engineering Saintgits College of Engineering Kerala Kottayam India

Social media is a digital environment where users openly share their opinions and engage in debates and discussions on various topics. Social media has amassed an enormous quantity of accessible data due to its constantly expanding and highly active user base. This data is a valuable resource for researching a variety of topics. An example of such a research problem is identifying user similarities by analyzing their data. This article explores combining comments, textual posts, and likes for comments to create keywords or tags and group the users. These tags are extracted from user data and utilized in constructing a tag network. The tag network facilitates the formation of communities consisting of users with similar interests. User grouping is achieved based on the tags extracted from the posts. The proposed methods employ TF-IDF (term frequency-inverse document frequency) and TextRank algorithms to extract the tags. Kernel diffusion determines the similarities between tags in the tag network. Finally, an aggregation-hierarchical clustering algorithm is employed to group social media users based on these tags. © 2024 The Authors. Published by Elsevier B.V.

关键词： Complex networks

来源：评论

学校读者我要写书评

暂无评论

Code Confabulator: Harnessing LLMs to Compile Code for Visualization 15

Code Confabulator: Harnessing LLMs to Compile Code for Visua...

引用

15th International Conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Rayvanth, Nannapaneni Pranavi, Pasupuleti Suryaa, E. Challa, Venkatahemant Kumar Reddy Belwal, Meena Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350370249

Code visualization tools play a core role for visualization of the code and helping novices in understanding, analyzing, and optimization of their programs. Tools such as Algorithm Visualizer and PythonTutor are developed to make algorithm visualization possible across different programming languages like Python, Java, C, and C++. Despite their advantages, these tools suffer from unnecessary data collection, increased time complexity, and limitation in visualizing a few data structures. In our research, we want to introduce a more humanlike view of understanding and solve the shortcomings mentioned above by proposing a framework, which will make use of LLMs for extracting data from the code in Python, Java, C, or C++ to be visualized. In our framework, we have used LLMs instead of the traditional compiler for feasibility and adaptability. Our objective is the appropriateness evaluation of LLMs for this task, starting from freeform prompts. The LLM is asked to generate outputs in a given format;hence, these outputs are taken and converted into visualizations with a rule-based approach. The task will be done to enhance quality visualization and reduce time complexity while allowing the user to view the code at a human level view. We have also publicly released the framework so that people are able to provide further contributions and improvements. © 2024 IEEE.

关键词： Code visualization Large language Models

来源：评论

学校读者我要写书评

暂无评论

Facial Grid Environment for Vitiligo Detection: A Deep Reinforcement Learning Perspective 2

Facial Grid Environment for Vitiligo Detection: A Deep Reinf...

引用

2nd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2024

作者： Adwayan, P.C. Anfas Hassan, V. Suresh, Navneeth Nisha, K.S. Sha, Akhbar Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350360523

This research addresses the challenging task of vitiligo detection within facial images through the lens of Deep Reinforcement Learning (DRL). Leveraging the Skin Disease dataset from Kaggle, our study focuses on the integration of three distinct convolutional neural network architectures - ResNet, VGG, and EfficientNet - within the DRL framework. Facial landmarks, crucial for spatial awareness, were extracted using OpenCV as a preprocessing step. The DRL agent navigates through a grid overlaying facial images, with states corresponding to grid cells, to reach the vitiligo-affected region and maximize cumulative rewards. Analysis of the models revealed ResNet's superior stability in the loss curve, indicative of its effective feature learning. The classification accuracy further reinforced ResNet's prominence, reaching an impressive 97%, outperforming VGG (94.5%) and EfficientNet (95.3%). While VGG and EfficientNet demonstrated competitive performances, ResNet's robustness and accuracy position it as the preferred architecture for vitiligo detection in facial images. This study contributes to the burgeoning field of dermatological diagnostics by showcasing the efficacy of DRL and different CNN architectures in automating vitiligo detection. The findings not only advance our understanding of the interplay between deep learning and dermatology but also lay the foundation for more accurate and efficient models in the broader landscape of skin disorder identification. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Streamlining Software Development: A Comprehensive Study on CI/CD Automation 4

Streamlining Software Development: A Comprehensive Study on ...

引用

4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Baitha, Sanjay Soorya, Vijayakumar Kothari, Osho Rajagopal, Shinu M. Panda, Niharika Amrita School of Computing Department of Computer Science and Engineering Amrita Vishwa Vidypeetham Bengaluru India

ISBN: (纸本)9798331540364

Continuous Integration and Continuous Deployment (CI/CD) automation have emerge as critical for modern-day software development. Despite its blessings, demanding situations including integration complexity, inconsistent trying out environments, and deployment troubles persist. Recent strategies like superior containerization, cloud-based scaling, and improved testing frameworks intention to address those issues. This take a look at implements an self sustaining CI/CD pipeline using gear such as Jenkins, GitHub, and SonarQube to automate processes which include coding, building, checking out, and deployment. By addressing those demanding situations, our proposed objective is to enhance efficiency and reliability in the software program development lifestyles cycle, allowing improvement teams to seamlessly add features and solve problems. © 2024 IEEE.

关键词： Software design

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 << < 36 37 38 39 40 41 42 43 44 45 > >>

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：