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

100 篇 会议
22 篇 期刊文献

馆藏范围

122 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

52 篇 工学
- 36 篇 计算机科学与技术...
- 28 篇 软件工程
- 10 篇 信息与通信工程
- 10 篇 生物工程
- 9 篇 控制科学与工程
- 7 篇 电气工程
- 6 篇 安全科学与工程
- 4 篇 机械工程
- 4 篇 土木工程
- 4 篇 船舶与海洋工程
- 4 篇 环境科学与工程（可...
- 4 篇 生物医学工程（可授...
- 3 篇 光学工程
- 3 篇 动力工程及工程热...
- 3 篇 石油与天然气工程
30 篇 理学
- 11 篇 生物学
- 9 篇 数学
- 6 篇 统计学（可授理学、...
- 5 篇 物理学
- 4 篇 大气科学
- 4 篇 海洋科学
22 篇 管理学
- 13 篇 管理科学与工程(可...
- 7 篇 工商管理
- 7 篇 图书情报与档案管...
- 4 篇 公共管理
8 篇 医学
- 7 篇 基础医学(可授医学...
- 6 篇 公共卫生与预防医...
- 5 篇 临床医学
7 篇 法学
- 7 篇 社会学
5 篇 经济学
- 5 篇 应用经济学
3 篇 农学
2 篇 文学
1 篇 教育学

主题

9 篇 predictive model...
9 篇 accuracy
7 篇 real-time system...
7 篇 convolutional ne...
5 篇 deep learning
5 篇 data models
4 篇 computational mo...
4 篇 uncertainty
4 篇 technological in...
4 篇 measurement
4 篇 renewable energy...
3 篇 urban areas
3 篇 generative adver...
3 篇 transformers
3 篇 temperature dist...
3 篇 neural networks
3 篇 long short term ...
3 篇 reviews
3 篇 security
3 篇 standards

机构

5 篇 computer science...
4 篇 masters in compu...
3 篇 masters in infor...
3 篇 department of da...
3 篇 graduate doctora...
3 篇 computer science...
3 篇 masters in compu...
2 篇 department of ar...
2 篇 centre for cyber...
2 篇 masters program ...
2 篇 school of comput...
2 篇 the university o...
2 篇 department of el...
2 篇 department of co...
2 篇 masters in compu...
2 篇 senior software ...
2 篇 masters in compu...
2 篇 bachelors in ece...
2 篇 masters of compu...
2 篇 herbert wertheim...

作者

4 篇 shashishekhar ra...
4 篇 rony mohammad ab...
4 篇 saha pritom
4 篇 islam mohammad s...
4 篇 niharika karne
4 篇 ahammad mejbah
3 篇 aruna sri rongal...
3 篇 hole shreyas raj...
3 篇 kolluru vinothku...
3 篇 shreyas rajendra...
3 篇 chinna babu mupp...
3 篇 vinothkumar koll...
3 篇 sudeep mungara
3 篇 mounika nalluri
3 篇 mungara sudeep
2 篇 ramagundam shash...
2 篇 md saifur rahman
2 篇 a. bhuvanesh
2 篇 yagnesh challagu...
2 篇 neetu rani

语言

106 篇 英文
16 篇 其他

检索条件"机构=Masters of Science in Computer Science"

共 122 条记录，以下是41-50 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：

Comparative Evaluation of Fraud Detection in Online Payments Using CNN-BiGRU-A Approach

Comparative Evaluation of Fraud Detection in Online Payments...

引用

2023 International Conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2023

作者： Prabhakar, K. Giridhar, M.S. Tatia, Amrita Joshi, Trupti Mandar Pal, Subharun Aswal, Upendra Singh School of Engineering and Technology Cmr University Department of Computer Science and Engineering Bangalore India Lakireddy Bali Reddy College of Engineering Department of Electrical and Electronics Engineering Jntuk Kakinada Andhra Pradesh Mylavaram India Indira School of Business Studies Maharashtra Pune India Indira School of Business Studies Masters of Business Administration Maharashtra Pune India Indian Institute of Technology Jammu Department of Computer Science and Engineering Jammu & Kashmir India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9798350300857

Online payment systems are now ubiquitous in people's daily lives. However, with this increased convenience comes a new security risk. Due to the nature of cybercrime involving an online payment service, which is often characterized by specialization, diversification, concealment, industrialization, scenario, and cross-regional elements, online payment security is notoriously difficult to implement and maintain. Effective and comprehensive online payment fraud detection is crucial. The first three stages of the proposed technique are preprocessing, feature selection, and model training. Remove Null Value, Data Transform, Resample, and Normalize Data are all preprocessing techniques used to improve the quality of raw data. Feature selection makes use of PCA and IG as a means of analysis. CNN-BiGRU-A is used to train the models after information gain is used to choose relevant features. When compared to the two most common alternatives, BiGRU and CNN, the proposed technique performs better. © 2023 IEEE.

关键词： Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Analyzing Different Digital Image Authentication Methods

Analyzing Different Digital Image Authentication Methods

引用

Electronics and Renewable Systems (ICEARS), International Conference on

作者： Sandeep Kaur Amritpal Singh Alka Jindal Computer Science and Engineering Chandigarh University Mohali India Masters of Engineering Management (College of Engineering and Computer Science) Arkansas State University Jonesboro AR USA Computer Science and Engineering Punjab Engineering College (Deemed to be University) Chandigarh India

A technique called authentication is used to protect photos, audio, and video files from unauthorized access. This study reviews various image authentication techniques. It divides various watermarking schemes into classes that are then further subdivided into different types. This study presents basic techniques that can be used by the attacker to destroy photographs along with important features and quality measuring matrices for image authentication. The limitations and research gaps are also highlighted, and discussed in the conclusion along with potential future directions.

关键词： Renewable energy sources Electric potential Digital images Authentication Watermarking

来源：评论

学校读者我要写书评

暂无评论

A Survey on Exploring the Effectiveness of IOT Based Home Security Systems

A Survey on Exploring the Effectiveness of IOT Based Home Se...

引用

International Conference on computer Communication and Informatics (ICCCI)

作者： S.R Anupriya V Muthumanikandan Masters in Computer Applications (MCA) VIT University Chennai India School of Computer Science and Engineering (SCOPE) VIT University Chennai India

With the advancement in Internet of things smart homes are rapidly developing. Smart home is the major key component of Internet of thing. With the help of IOT technology we can stay connected to our home appliance. Internet of Things is the Associations of inserted advancements that. Contained physical protests and is utilized to convey and keenness or collaborate with the internal states or the outer surroundings. Rather than individuals to individuals’ correspondence, IoT accentuation on machine-to-machine correspondence. Smart home connects the physical components of our home with the help of software and sensors so that we can access them via internet from one place. Building home automation includes computerizing a home, likewise, mentioned to as a sensible home or smart home. Domestic machines are an urgent part of the Web of Things whenever they are associated with the web. Controlled devices are commonly connected to a focal center or entryway through a domestic automation framework. A smartphone application, tablet PC, personal computer, wall-mounted terminals, or even a web interface that can be gotten to from off-website over the Web are completely utilized by the program to work the framework. Since all the devices are interconnected and interlinked to one an-another they are lot of chances for security breach and data theft. If the security layer is easily breakable any third-party attacker can easily theft the private data of the user. Which leads us to pay more attention to protecting and securing private data. With the day-to-day development of Smart Home, the safety also got to be developed and updated day to day the safety challenges of the IoT for a wise home scenario are encountered, and a comprehensive IoT security management for smart homes has been proposed. This paper acquaints the status of IoT development, and furthermore contains security issues challenges. Finally, this paper surveys the Gamble factor, security issues and challenges in e

关键词： Surveys Home appliances Security management Smart homes Microcomputers Software Safety

来源：评论

学校读者我要写书评

暂无评论

Analysis of Feedback and Customer Satisfaction Parameters for Hospitality Industry-A Technology Intervention

Analysis of Feedback and Customer Satisfaction Parameters fo...

引用

2024 International Conference on Smart Devices, ICSD 2024

作者： Ramnarayan Yamsani, Nagendar Joshi, Girija Shankar Singh, Jasjit Nautiyal, Kshitij Kumar, Gaurav Uttaranchal University UIT CSE Department Dehradun India SR University School of Computer Science and Artificial Intelligence Warangal India Uttaranchal University Uttaranchal School of Computing Sciences Uttarakhand Dehradun India Concordia University Masters in Mechanical Engineering Canada Dev Bhoomi Uttarakhand University Dehradun India

ISBN: (纸本)9798350394412

Technologies are the patronage for the sustainable development and growth in the field of hospitality industry. Today's hotel visitors are accustomed to using remote keyless entry to open and lock their vehicles, placing food orders directly from a smartphone app, and using the technology to switch on the needful thing, add something to their shopping list, or to on the Television and music also. Many of these visitors also anticipate having the same frictionless experience while staying at hotels. Prior studies tended to be preoccupied with technological service innovation, leaving human-related service innovation relatively unexplored. TBSI (Technology Based Service and Innovation) can be examine in this study to develop the sustainable application and system can have the stronger role for the customer satisfaction and delight. For the hospitality business to flourish and grow quickly in the future, we now also need to know what the customers are saying. In this study, we focus on technology and how it may help the hotel sector grow based on client input. © 2024 IEEE.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Impact of Robotic Process Automation on Enterprise Resource Planning Systems

Impact of Robotic Process Automation on Enterprise Resource ...

引用

2023 International Conference on the Confluence of Advancements in Robotics, Vision and Interdisciplinary Technology Management, IC-RVITM 2023

作者： Yendluri, Dileep Kumar Ponnala, Jainath Thatikonda, Ramya Kempanna, M. Tatikonda, Reshmi Bhuvanesh, A. University of the Cumberlands Masters in Computer Science United States Jawaharlal Technological University Bachelors in Ece Hyderbad India University of the Cumberlands PhD in Information Technology Williamsburg United States Bangalore Institute of Technology Department of Artificial Intelligence and Machine Learning Karnataka Bengaluru India University of the Central Missouri Masters in Computer Information Systems Warrensburg United States Psn College of Engineering and Technology Department of Electrical and Electronics Engineering Tamil Nadu Tirunelveli India

ISBN: (纸本)9798350306088

ERP systems are merging their powers to generate a dynamic collaboration. By examining the integration between RPA (Robotic Process Automation) and ERP (Enterprise Resource Planning) systems, we can identify their shared potential for enhancing process flow. Combining automation and ERP integration makes RPA a powerful tool for process management across multiple industries. The paper examines the basics of RPA and its ERP integration, highlighting the advantages of enhanced productivity and fewer errors. Addressing security, compliance, and change management issues simultaneously. In addition to top-down and bottom-up methods, process analysis and selecting suitable processes are covered. Practical examples offer insightful observations on this integration's success. The union of RPA and ERP creates a powerful combination that can elevate operational effectiveness, facilitate strategic insights, and reshape the workplace. © 2023 IEEE.

关键词： Integration

来源：评论

学校读者我要写书评

暂无评论

Efficient Network Anomaly Detection and Mitigation Strategies for Large-scale Networks

Efficient Network Anomaly Detection and Mitigation Strategie...

引用

2025 International Conference on Pervasive Computational Technologies, ICPCT 2025

作者： Thakur, Dheerender Kumar Sivaraj, Krishna Prasath Gulhane, Monali Alahari, Jaswanth Jena, Rakesh Goel, Punit Osmania University Masters in Computer Science India The University of Toledo ToledoOH United States Symbiosis Institute of Technology Nagpur Campus Pune India University of Illinois Springfield One University Plaza SpringfieldIL United States Biju Patnaik University of Technology Odisha Rourkela India Maharaja Agrasen Himalayan Garhwal University Uttarakhand India

ISBN: (纸本)9798331508685

Efficient Network Anomaly Detection and Mitigation Strategies for Large-scale Networks As the number of connected devices has increased so has the potential for malicious activities and network malfunctions. This study focuses on creating efficient mechanisms for real-time and accurate detection and avoidance of outliers in big Abstract-Efficient Strategies to Detect and Mitigate Network Anomalies in Large-scale Networks As more and more devices get connected to the internet, the chances of malicious activities and network failures only increase. To address this problem, this study develops efficient mechanisms for detecting and avoiding outliers in big data networks in real time and with high accuracy. The approaches proposed will utilize techniques as machine learning, data mining and network traffic analytics. The next step is to build out anomaly detection models that can identify and classify abnormal network behavior using these techniques. In addition, the methods will employ advanced data processing tools to detect vast quantities of network data in real-time to minimize false positive rates."Active learning theory: efficient and scalable, deployable to large-scale networks, anomaly detection and remediation methods. L7-QoS takes even the network one step ahead and thus increases the network quality by significantly decreasing the ratio of the hazardous operation or the error of the system. This work has important implications to any sector or organization where large-scale networks are important - including telecommunications, banking, and healthcare. © 2025 IEEE.

关键词： Avoidance Data Processing Detection Network Traffic Analytics Scalable

来源：评论

学校读者我要写书评

暂无评论

The New Frontier in Media: AI-Driven Content Creation for Ad-Supported TV using Generative Adversarial Network

The New Frontier in Media: AI-Driven Content Creation for Ad...

引用

International Conference of computer and Informatics Engineering (IC2IE)

作者： Shashishekhar Ramagundam Niharika Karne Software Development & Engineering in Content Discovery & AI Comcast USA AL. Department of Computer Science Masters in Computer Science Troy University Montgomery Campus USA Sr. Principal Systems Engineer in C& RS Platform Services DT Amtrak USA Department of Electrical Engineering Masters in Electrical Engineering University of South Alabama USA

ISBN: (数字)9798331505530

ISBN: (纸本)9798331505547

The use of Artificial intelligence (AI) technology in the content creation to produce creative aspects like editing, audience analysis, creating ideas, writing copy, etc. The major aim is to streamline and automate the process of content creation and convert it into a more efficient and effective way. There is a lack of transparency in the AI content production process and hence it does not exactly mimic human activities, which includes fantasizing and picking up new abilities. AI content creation requires more creativity while investigating with a specific goal in mind. Although, AI faces many challenges since it constantly expands its base knowledge. One of the biggest ethical problems is the probability that AI content is used to deceive or influence people. Hence, to overcome these difficulties a machine learning-based Artificial Intelligent content creation framework is generated for content creation in Ad-supported TV. Here, an effective model Generative Adversarial Network (GAN) introduced to deliver enterprise data, customize descriptions, and adjust content based on consumer behaviors. This developed model produces material that is closely related to the preferences of the user. AI content creation increases efficiency and productivity by saving time and money. It also leads to the development of better content. Finally, the experimental analysis is performed to find the effectiveness of the developed deep learning-based AI content creation framework via various metrics.

关键词： Productivity Measurement Deep learning Ethics TV Media Generative adversarial networks Artificial intelligence Informatics Faces

来源：评论

学校读者我要写书评

暂无评论

Beyond Words: Unraveling Text Complexity with Novel Dataset and A Classifier Application

Beyond Words: Unraveling Text Complexity with Novel Dataset ...

引用

International Conference on computer and Information Technology (ICCIT)

作者： Mohammad Shariful Islam Mohammad Abu Tareq Rony Pritom Saha Mejbah Ahammad Shah Md Nazmul Alam Md Saifur Rahman Computer Science and Telecommunication Engineering Noakhali Science and Technology University(NSTU) Department of Statistics Noakhali Science and Technology University(NSTU) Noakhali Bangladesh Computer Science and Engineering Daffodil International University Dhaka Bangladesh Computer Science and Engineering American International University Bangladesh Kuril Dhaka Masters of Computer Science University:Arizona State University USA Ph.D. in Strategic Management University:University of the Cumberlands

Text classification is a fundamental aspect of Natural Language Processing (NLP). This research presents a novel human-annotated English sentence dataset categorized into four classes (simple, complex, compound, complex-compound) containing 22331 sentences and a sophisticated sentence classifier tool offering the capability to analyze and classify sentences within English text with particular relevance to literature writing. This study explores its performance using three distinct feature representation methods: Bag-of-Words (BoW), Term Frequency-Inverse Document Frequency (TF-IDF), and Word Embedding Features. The study involves the evaluation of four machine learning and two deep learning classifier models. BoW combined with Support Vector Classifier (SVC) and Logistic Regression (LR) demonstrated impressive accuracy rates, excelling in distinguishing sentence complexity. Word Embedding Features, specifically LSTM and RNN, offer a more profound semantic representation. LSTM stands out with the highest accuracy of 98.03% and balanced precision and recall, yielding an average F1-score of 97%. RNN, slightly less accurate at 97.75%, nevertheless exhibits competence in grasping sentence structure dependencies. It offers valuable insights for practical applications and contributes to the broader understanding of sentence structures and semantics.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Design of Hybrid Model and Bayesian Neural Networks for Smart Grid Stability Prediction

A Design of Hybrid Model and Bayesian Neural Networks for Sm...

引用

Smart and Sustainable Developments in Electrical Engineering (SSDEE), IEEE International Conference on

作者： Shreyas Rajendra Hole Vinothkumar Kolluru Shreekant Salotagi Yagnesh Challagundla Sudeep Mungara Sriramkumar R Computer Science & Engineering AI & ML Dayananda Sagar University Bangalore India Department of data science Stevens Institute of technology Hoboken NJ U.S.A. Computer Science & Engineering Dayananda Sagar University Bagalore India Department of Computer science Herbert Wertheim College of Engineering University of Florida Gainesville Florida USA Masters in Information Systems Stevens Institute of Technology Hoboken NJ U.S.A.

ISBN: (数字)9798331542108

ISBN: (纸本)9798331542115

The latest evolution in power systems, is ‘smart grids'that offers real time monitoring, control features as well as effective management of renewable energy sources. Nonetheless, with the increase in the system complexity, the chances for insta- bility also increase and thus it is crucial to forecast the stability accurately for the safety of the grid. Weather it is in terms of Gradient Boosting Tree Algorithm or any other traditional algorithm, these machine learning models are successful in achieving the objectives of the task but they lack a forthcoming metric to assist in high stake situations, uncertainty quantification. The paper is devoted to the analysis of the reliability of smart grid systems based on Bayesian Neural Networks (BNN) taking into account both the reliability of predictive modeling and forecasting uncertainty. The smart grid stability augmented dataset was used to benchmark the efficacy of using BNNs or BNNs combined hybrid models, one with XGBoost, for feature extraction and the other with LightGBM. The present study shows that the BNN used with the above mentioned smart grid system achieved an accuracy of 92% with precision of 0.89, recall of 0.91 and F1 of 0.90. These metrics are appending with the help of the additional features of BNN where they are capable of addressing the key questions around uncertainty and thus the metrics confirming the predictions are quite strong in terms of real-time grid stability evaluation. This article encapsulates a detailed study of BNN architecture, the role of uncertainty in machine learning models and the natural application of such models in the design of dependable and fault-tolerant smart grids.

关键词： Measurement Renewable energy sources Uncertainty Neural networks Power system stability Predictive models Stability analysis Real-time systems Smart grids Bayes methods

来源：评论

学校读者我要写书评

暂无评论

Hybrid Approach of TabNet and Transformer-XGBoost for Predicting Traffic Flow in Smart Cities

Hybrid Approach of TabNet and Transformer-XGBoost for Predic...

引用

Smart and Sustainable Developments in Electrical Engineering (SSDEE), IEEE International Conference on

作者： Shreyas Rajendra Hole Vinothkumar Kolluru Shreekant Salotagi Yagnesh Challagundla Sudeep Mungara Mude Nagarjuna Naik Computer Science & Engineering (AI&ML) Dayananda Sagar University Bangalore India Department of data science Stevens Institute of technology Hoboken NJ U.S.A. Computer Science & Engineering Dayananda Sagar University Bangalore India Department of Computer science Herbert Wertheim College of Engineering University of Florida Gainesville Florida USA Masters in Information Systems Stevens Institute of Technology Hoboken NJ U.S.A.

ISBN: (数字)9798331542108

ISBN: (纸本)9798331542115

A smart city's transportation system can be en-hanced if there is an accurate prediction of the traffic flow which develops in an area as time goes on. This article investigates the relative accuracy of predicting traffic flow at target intersections in a city, taking advantage of two models: Tab Net and a hybrid Transformer-XGBoost. Several metrics including Mean Squared Error (MSE) and Coefficient of determination (R2 score) among others were employed to evaluate the models employed. A sequential deep learning model known as Tab Net triumphing in the competition with MSE, RMSE, and MAE being 34.48, 5.87, and 3.73 respectively, and R2 score as high as 0.917, although performing well while enhancing identification of features such as year and junction. On the other hand, while reporting similar R2 score as low as 0.184, the Transformer-XGBoost hybrid model had structuring limitations where complex interdependencies and time variations were involved recording MSE, RMSE and MAE as 338.52, 18.40 and 13.24 respectively. The graphs of residuals and QQ plots served to uncover that the hybrid model failed making a right prediction during high traffic volume days, as general tabnet results shown in the final graphs are more stable. Following investigation of the models in this study, the researchers suggest implementing TabNet as a better option for traffic management explaining its high accuracy and providing valuable guidance for cities. This would result in improvement of the traffic flow prediction, which is highly needed for effective urban mobility solutions.

关键词： Measurement Hands Adaptation models Accuracy Smart cities Transportation Tail Predictive models Transformers Junctions

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13页 << < 1 2 3 4 5 6 7 8 9 10 > >>

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：