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

1,832 篇 会议
276 篇 期刊文献
42 册 图书

馆藏范围

2,150 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,315 篇 工学
- 1,056 篇 计算机科学与技术...
- 895 篇 软件工程
- 302 篇 信息与通信工程
- 175 篇 控制科学与工程
- 136 篇 生物工程
- 123 篇 电气工程
- 110 篇 电子科学与技术（可...
- 99 篇 生物医学工程（可授...
- 60 篇 机械工程
- 59 篇 光学工程
- 52 篇 安全科学与工程
- 49 篇 动力工程及工程热...
- 37 篇 建筑学
- 37 篇 交通运输工程
- 36 篇 化学工程与技术
- 35 篇 仪器科学与技术
577 篇 理学
- 339 篇 数学
- 149 篇 生物学
- 113 篇 物理学
- 97 篇 统计学（可授理学、...
- 73 篇 系统科学
389 篇 管理学
- 225 篇 管理科学与工程(可...
- 188 篇 图书情报与档案管...
- 129 篇 工商管理
83 篇 医学
- 81 篇 临床医学
- 77 篇 基础医学(可授医学...
- 52 篇 药学(可授医学、理...
75 篇 法学
- 55 篇 社会学
47 篇 经济学
- 47 篇 应用经济学
40 篇 教育学
- 40 篇 教育学
26 篇 农学
6 篇 文学
4 篇 军事学
1 篇 艺术学

主题

62 篇 software
59 篇 software enginee...
59 篇 accuracy
56 篇 machine learning
48 篇 computational mo...
48 篇 feature extracti...
46 篇 training
40 篇 real-time system...
39 篇 deep learning
36 篇 semantics
35 篇 computer science
33 篇 analytical model...
33 篇 artificial intel...
31 篇 computer archite...
30 篇 data mining
30 篇 predictive model...
29 篇 internet of thin...
29 篇 data models
23 篇 scalability
23 篇 support vector m...

机构

19 篇 faculty of compu...
19 篇 gik institute of...
19 篇 university of eu...
19 篇 dept. of technol...
17 篇 dept. of compute...
15 篇 dept. of compute...
15 篇 dept. of softwar...
14 篇 dept. of electri...
13 篇 dept. of compute...
12 篇 dept. of softwar...
12 篇 dept. of compute...
12 篇 dept. of compute...
11 篇 bcmaterials basq...
11 篇 state key labora...
11 篇 bcmaterials basq...
11 篇 dept. of compute...
10 篇 college of compu...
10 篇 dept. of electri...
10 篇 dept. of compute...
9 篇 hongik universit...

作者

19 篇 ku wei-shinn
19 篇 raja hashim ali
18 篇 ali raja hashim
16 篇 usama arshad
15 篇 arshad usama
15 篇 baldwin timothy
14 篇 zain ul abideen
14 篇 yvon savaria
12 篇 min dong
12 篇 shiri nematollaa...
12 篇 beongku an
11 篇 qusay h. mahmoud
11 篇 buyya rajkumar
11 篇 an beongku
10 篇 ali zeeshan ijaz
9 篇 ben liang
8 篇 m. sawan
8 篇 baik doo-kwon
8 篇 cho seong-je
8 篇 nisar ali

语言

2,054 篇 英文
82 篇 其他
6 篇 朝鲜文
5 篇 中文
3 篇 日文

检索条件"机构=Dept. of Computer and Software Engineering Polytechnique"

共 2150 条记录，以下是341-350 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：

Mitigating YouTube Recommendation Polarity using BERT and K-Means Clustering

Mitigating YouTube Recommendation Polarity using BERT and K-...

引用

International Conference on Computing for Sustainable Global Development (INDIACom)

作者： Zoheb Ahmad Danish Quasim Shreeya Garg Vinod Kumar Dept. of Software Engineering Delhi Technological University New Delhi India Dept. of Computer Engineering Delhi Technological University New Delhi India Dept. of Computer Engineering and Bioscience IIIT Delhi New Delhi India

YouTube's recommendation system is famous for its success in maintaining high retention rates. The cause of its success is its ability to learn and predict an individual user's preferences appropriately. An unintended consequence, however, is that users get stuck in what is known as their own “echo chambers” when dealing with and feeding users back their preferences. These echo chambers can cause increasing perspective bias within users, making it difficult for users to understand differing opinions. This work aims to prepare a model that counteracts YouTube's recommendation system by forcefully exposing users to content from varying viewpoints. The SSKA pipeline (Suno Sabki, Karo Apni) is a complementary deep learning model that involves Natural Language Processing (NLP) and K-Means clustering. It utilizes modern software libraries such as the YouTube API (Application Programming Interface) for data collection and was trained and tested on a varied set of users. The results prove that the model is successful in decreasing the bias recommendation by exposing users to the content of varying opinions and helping them break away from their echo chambers. The proposed methodology of explicitly exposing users to the content of varying opinions can positively impact local societies and the global community.

关键词： Adaptation models Video on demand software libraries Social networking (online) Pipelines Psychology Transformers

来源：评论

学校读者我要写书评

暂无评论

Analyzing Different Protocols of Information Granularity Distribution to Improve Consistency of Fuzzy Preference Relations in Decision-Making

Analyzing Different Protocols of Information Granularity Dis...

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Juan Carlos González-Quesada Ignacio Javier Pérez Juan Antonio Morente-Molinera Sergio Alonso Enrique Herrera-Viedma Francisco Javier Cabrerizo Dept. of Computer Science and AI University of Granada Granada Spain Dept. of Software Engineering University of Granada Granada Spain

A fundamental principle of Granular Computing is that of an information granularity distribution and its optimization process. It has been used in system modelling to elevate a numerical model to its granular counterpart, which is more in rapport with reality. For example, in decision-making with fuzzy preference relations, it has been applied to enhance the existing numerical consistency improvement procedures. However, even though different protocols of information granularity distribution have been proposed, only the one based on a uniform and symmetric distribution and the one based on a symmetric but non-uniform distribution have been considered. Given that there exist others, this study aims to analyze how we can take advantage of all of them to improve the consistency of the fuzzy preference relations. Some numerical experiments are also completed to show the performance of these protocols.

关键词：

来源：评论

学校读者我要写书评

暂无评论

EdgStr: Automating Client-Cloud to Client-Edge-Cloud Transformation

EdgStr: Automating Client-Cloud to Client-Edge-Cloud Transfo...

引用

International Conference on Distributed Computing Systems

作者： Kijin An Eli Tilevich Software Engineering Team Samsung Research Seoul South Korea Dept. of Computer Science Software Innovations Lab Virginia Tech Blacksburg VA United States

ISBN: (数字)9798350386059

ISBN: (纸本)9798350386066

To harness the potential of edge resources, two-tier client-cloud applications require transformation into three-tier client-edge-cloud applications. Such transformations are hard for programmers to perform correctly by hand. Many cloud services maintain a runtime state that needs to be replicated at the edge. Once replicated, this state must then be synchronized efficiently and correctly. To facilitate the transition to edge computing, we present a framework that automatically transforms client-cloud apps to their client-edge-cloud versions. Our framework, EdgStr, automatically replicates cloud-based services at the edge. EdgStr synchronizes the replicated service state by relying on a third-party Conflict-Free Replicated Data Type (CRDT). It generates code that connects service state changes to CRDT update operations, thus ensuring that the state changes at each replica eventually converge to the same replicated state. As an evaluation, we applied EdgStr to transform representative distributed mobile apps for deployment in dissimilar network and device setups. EdgStr correctly replicates cloud services (targeting the important domain of ***), deploying the resulting replicas on an ad-hoc edge cluster, hosted by Raspberry PI devices. As long as eventual consistency is congruent with the functionality of a cloud service, EdgStr can automatically replicate this service and deploy the replicas at the edge, thus offering the performance benefits of edge-based execution, without the high costs of manual program transformation.

关键词： Performance evaluation Costs Runtime Codes Transforms Manuals Mobile applications

来源：评论

学校读者我要写书评

暂无评论

Decentralized Drug Transaction Tracking: A Novel Hybrid Blockchain-IPFS Platform

Decentralized Drug Transaction Tracking: A Novel Hybrid Bloc...

引用

Public Safety Technology (WFPST), IEEE World Forum on

作者： Mouhamadou Mouctar Gueye Wael Jaafar Fatoumata Baldé Dept. Computer Science Université Alioune Diop Bambey Sénégal Dept. Software and IT Engineering École de Technologie Superieure (ÉTS) Montreal Canada

ISBN: (数字)9798350329148

ISBN: (纸本)9798350329155

Counterfeit drugs are a serious global problem that poses threats to public health. It occurs when falsified or counterfeit drugs are intentionally manufactured and introduced into the pharmaceutical supply chain, masquerading as genuine products. This is due to the complexity of the supply chain that involves independent entities. As a result, a drug transits through several stages before reaching the patient. Current drug management systems are centralized, thus creating data transparency and authenticity risks within the supply chain. To bypass this issue, we propose in this paper a novel hybrid and distributed drug transaction tracking platform that leverages a combination of the Interplanetary File System (IPFS) protocol and Ethereum blockchain. Relying on IPFS guarantees the integrity of drug traceability data, while the blockchain ensures the authenticity of this data. We developed our platform and, through experiments, we prove that our method is more efficient, in terms of process costs, than the conventional blockchain-based drug tracking system.

关键词： Drugs Costs Supply chains Smart contracts Public security Blockchains InterPlanetary File System

来源：评论

学校读者我要写书评

暂无评论

A Reversible Three-Phase Transformer Model for Energization Transients Based on Topological Remnant Flux Calculation 4

A Reversible Three-Phase Transformer Model for Energization ...

引用

4th Annual IEEE Kansas Power and Energy Conference, KPEC 2023

作者： Rezaei-Zare, Afshin Mostafaei, Mohsen Gras, Henry Martinez-Duro, Manuel Mahseredjian, Jean York University Dept. of Electrical Engineering and Computer Science TorontoONM3J 1P3 Canada Ecole Polytechnique de Montreal Dept. of Electrical Engineering MontrealQCH3T 1J4 Canada Electricite de France R&d Palaiseau91120 France

ISBN: (纸本)9798350335408

As a component in power systems, the power transformer plays an important role. Hence, precise modeling can provide useful information about transformer behavior in steady-state and transient conditions. Due to some limitations of available transformer modeling methods, especially in transients, a reversible three-phase transformer model is presented in this paper based on topological remnant flux calculation. In this model, the equivalent magnetic circuit is based on the duality principle. This concept facilitates the connection of an equivalent magnetic circuit to the leakage inductances. The two important factors for transformer energization modeling are air-core inductance and remnant fluxes in different core parts. The calculation of air-core inductance is explained in the paper comprehensively. The simulation results of the proposed topological model for a real 96 MVA, 410/6.8 kV power transformer with a shell-type core in EMTP software shows a nice match between simulated inrush currents with considering remnant flux and the measured ones. © 2023 IEEE.

关键词： Power transformers

来源：评论

学校读者我要写书评

暂无评论

A Web Based Four-Tier Architecture using Reduced Feature Based Neural Network Approach for Prediction of Student Performance 2

A Web Based Four-Tier Architecture using Reduced Feature Bas...

引用

2nd International Conference on Robotics, Electrical and Signal Processing Techniques, ICREST 2021

作者： Hossen, Anwar Alamgir, Rakib Bin Alam, Arman Ul Siddika, Fatema Hossain, Shah Fahad Arman, Md. Shohel Daffodil International University Dept. of Software Engineering Dhaka Bangladesh Jagannath University Dept. of Computer Science and Engineering Dhaka Bangladesh

ISBN: (纸本)9781665415767

Enhancing student's performance is a significant part of developing quality education in any educational institute. It is very difficult to get promising student performance without student categorization according to their academic performance as there are different standardized students. In this paper, our aim is to determine the performance of the students. For this purpose, a survey has been conducted on students in our university in order to collect data and to analyze and predict the student category based on their performance. Apart from this, another purpose of this study is to examine the effect of the reduced features on the classification model using state-of-art machine learning algorithms. Here, we propose a workflow of web-based four-tier architecture for the student performance prediction that will define the student's category in order to help them exactly pinpoint their learning capabilities. Hence, we used multiple supervised learning-based machine learning techniques for the prediction of student performance. Each of the student category categorized by considering on the top features. The analysis results indicate that we got the highest performance that is 88.00% by using the Artificial Neural Network (ANN) among the classifiers by showing its superiority to the existing model. © 2021 IEEE.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

The YOLOv8 Edge: Harnessing Custom Datasets for Superior Real-Time Detection 18

The YOLOv8 Edge: Harnessing Custom Datasets for Superior Rea...

引用

18th IEEE International Conference on Emerging Technologies, ICET 2023

作者： Ahmed, Tafreed Maaz, Ahmad Mahmood, Danyaal Abideen, Zain Ul Arshad, Usama Ali, Raja Hashim BCMaterials Basque Center for Materials Applications & Nanostructure Basque Country Leioa Spain Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany

ISBN: (纸本)9798350328172

YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. Developing a custom object detection solution that can detect specific objects in real-time video streams has the potential to revolutionize various fields and has been the subject of extensive research. Although there have been advances in object detection, there is still a gap in the research for real-time detection of custom objects with high accuracy and speed. This research addresses this gap by training a YOLOv8 detector on a custom dataset of objects and evaluating its performance on real-time video streams which is by far the latest model and thus is faster and more accurate. Our experimental results demonstrate that our custom-trained YOLOv8 detector achieves high accuracy and real-time performance on a custom dataset of objects. The detector achieved an overall mAP50 of 0.864 and a mAP50-95 of 0.758, with individual class results ranging from 0.47 to 0.995. These findings show that custom training data and YOLOv8 are effective in real-time object detection, which has practical applications in various fields. The significance of the results and our contribution lies in demonstrating the effectiveness of custom training data for improving object detection accuracy and speed using YOLO, which has implications for a wide range of real-world applications. © 2023 IEEE.

关键词： Object detection

来源：评论

学校读者我要写书评

暂无评论

Effectiveness of Performance Visualizations for Declarative Model Transformations

Effectiveness of Performance Visualizations for Declarative ...

引用

IEEE International Workshop on Visualizing software for Understanding and Analysis (VISSOFT)

作者： Raffaela Groner Matthias Tichy Dept. of Computer Science and Engineering Chalmers | University of Gothenburg Gothenburg Sweden Institute of Software Engineering and Programming Languages Ulm University Ulm Germany

ISBN: (数字)9798331528485

ISBN: (纸本)9798331528492

Several profilers for general-purpose languages like Java offer visualizations to support users in understanding the execution of a program and identifying the causes of a performance issue. Unfortunately, these performance visualizations are difficult to reuse in profilers for declarative model transformations since they cannot display transformation-specific information. For example, a profiler for a declarative model transformation language must provide information on the traversal of the input model since it impacts the performance but is hidden from the developer. Moreover, the respective visualization must scale for input models that consist of several thousand model elements. Hence, we developed performance visualizations for the declarative model transformation language Henshin that provide insights into the transformation execution. Subsequently, we performed a mixed methods study with 18 Henshin novices to evaluate the effectiveness of our visualizations. In our study, the participants tried to improve the execution performance of four transformations by performing a root cause analysis using our visualizations. The results of our study show that depending on the task, between 16 and 18 participants understood the execution of a transformation correctly based on our visualizations. Moreover, between 12 and 18 participants proposed effective optimizations using our visualizations.

关键词： Visualization Root cause analysis Java Color software Encoding Data mining Optimization

来源：评论

学校读者我要写书评

暂无评论

RFSNU: Reliable Forwarding Strategy in NDN based UWSN

RFSNU: Reliable Forwarding Strategy in NDN based UWSN

引用

Canadian Conference on Electrical and computer engineering (CCECE)

作者： Ahmed Khalid Rana Asif Rehman Byung-Seo Kim Department of Computer Science National University of Computer & Emerging Sciences Pakistan Dept. of Software and Communications Engineering Hongik University Sejong-si South Korea

ISBN: (数字)9798350371628

ISBN: (纸本)9798350371635

Underwater wireless sensor network (UWSN) is a communication paradigm that works in underwater environment such as in oceans, rivers, lakes, and seas. Multiple sensors are deployed in underwater that collect information according to user demand and forwards the data towards the Underwater Autonomous Vehicle (UAV) that send the data towards the ship or user. UWSN is based on Internet Protocol (IP). There are several limitations in existing IP based architecture such as data redundancy, location dependency, mobility. Therefore, there is need for a new network that enhance the network efficiently. Named Data Network (NDN) is a new communication paradigm that provides several built-in benefits such as in-network caching, mobility, avoid data duplication, and fast content retrieval time. In case of NDN based UWSN (NUWSN), network traffic increases due to bandwidth and large propagation delay. Due to dynamic nature of water the ratio of traffic load, packet duplication, packet retransmission increases. When delay is large then more packets can loss and more number of packet retrans-mission, and data duplication occurs. Therefore, there is need for efficient forwarding mechanism in NUWSN that minimize data duplication and packet retransmission. In this paper, we proposed a forwarding mechanism named as Reliable Forwarding Strategy in NDN based UWSN (RFSNU). RFSNU improves the forwarding process in underwater environment using dept. based forwarding. Our scheme improves packets retransmission rate, and packet duplication that are main problems in NUWSN.

关键词： Wireless communication Wireless sensor networks Protocols Redundancy Telecommunication traffic Sensors Rivers

来源：评论

学校读者我要写书评

暂无评论

A Task Scheduler for Mobile Edge Computing Using Priority-based Reinforcement Learning

A Task Scheduler for Mobile Edge Computing Using Priority-ba...

引用

IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Amin Avan Farnaz Kheiri Qusay H. Mahmoud Akramul Azim Masoud Makrehchi Shahryar Rahnamayan Dept. of Electrical Computer and Software Engineering Ontario Tech University Oshawa ON Canada Dept. of Engineering Brock University St. Catharines ON Canada

Edge computing offers cloud-like services closer to users and IoT devices, providing high speed and accessibility for network users. Edge computing, often called Mobile Edge Computing (MEC), is a distributed paradigm that utilizes heterogeneous computational and storage resources with well-provisioned capabilities rather than relying on the ample resources of the cloud. In addition, edge users usually refer to portable and mobile devices that connect to and disconnect from the network at will. Therefore, scheduling tasks at the appropriate time and allocating the right resources can be modeled as a multi-objective optimization problem in MEC. Moreover, each task has specific requirements, further adding to the complexity of the optimization problem. In this study, we formulate the scheduling problem as a Markov Decision Process (MDP) to schedule the tasks. The learning time of the task scheduler is minimized when it faces new users and edge servers. Subsequently, we employ the Q-learning (QL) algorithm from the Reinforcement Learning (RL) paradigm to address the optimization problem and effectively adapt the proposed scheduler to the dynamic nature of MEC. Accordingly, we designed the valid state space, action space, and reward function with appropriate conditions and proper rewards for the proposed QL-based technique. We conducted comprehensive experiments to validate the results of the proposed solution, taking into account the inherent randomness of the QL-based technique. The experimental results demonstrate that the proposed technique achieves the lowest learning time compared to Deep learning-based and Deep RL-based approaches. Furthermore, on average, the proposed technique obtains a 72% faster runtime compared to previous works, using 58% fewer computation cycles and 50% less memory. These improvements make the proposed approach an efficient and lightweight task scheduler for MEC.

关键词：

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215页 << < 31 32 33 34 35 36 37 38 39 40 > >>

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：