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

41,423 篇 会议
6,920 篇 期刊文献
319 册 图书

馆藏范围

48,662 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

30,147 篇 工学
- 18,169 篇 计算机科学与技术...
- 14,989 篇 软件工程
- 8,271 篇 信息与通信工程
- 5,829 篇 电子科学与技术（可...
- 5,607 篇 电气工程
- 5,183 篇 控制科学与工程
- 2,627 篇 生物工程
- 2,348 篇 光学工程
- 2,246 篇 生物医学工程（可授...
- 2,068 篇 机械工程
- 2,054 篇 动力工程及工程热...
- 1,964 篇 仪器科学与技术
- 1,515 篇 化学工程与技术
- 1,180 篇 材料科学与工程（可...
- 948 篇 安全科学与工程
- 916 篇 交通运输工程
- 784 篇 建筑学
15,819 篇 理学
- 8,362 篇 数学
- 5,261 篇 物理学
- 2,857 篇 生物学
- 2,707 篇 统计学（可授理学、...
- 1,927 篇 系统科学
- 1,604 篇 化学
6,245 篇 管理学
- 3,843 篇 管理科学与工程(可...
- 2,654 篇 图书情报与档案管...
- 2,127 篇 工商管理
1,765 篇 医学
- 1,510 篇 临床医学
- 1,400 篇 基础医学(可授医学...
- 928 篇 药学(可授医学、理...
1,133 篇 法学
- 934 篇 社会学
781 篇 经济学
537 篇 教育学
478 篇 农学
216 篇 文学
126 篇 军事学
47 篇 艺术学
3 篇 哲学
1 篇 历史学

主题

1,042 篇 computational mo...
1,022 篇 accuracy
806 篇 feature extracti...
750 篇 training
727 篇 computer science
565 篇 deep learning
519 篇 machine learning
505 篇 optimization
467 篇 real-time system...
465 篇 predictive model...
426 篇 support vector m...
415 篇 internet of thin...
409 篇 computer archite...
379 篇 data models
366 篇 neural networks
366 篇 bandwidth
342 篇 reliability
330 篇 mathematical mod...
322 篇 robustness
303 篇 monitoring

机构

170 篇 dept. of electri...
83 篇 institut univers...
82 篇 north-west unive...
80 篇 national centre ...
79 篇 infn sezione di ...
76 篇 infn sezione di ...
69 篇 institute of inf...
66 篇 università di ca...
62 篇 dept. of electr....
58 篇 dept. of electri...
57 篇 dept. of informa...
56 篇 dept. of compute...
53 篇 leiden universit...
52 篇 dept. of electri...
52 篇 school of automa...
50 篇 tno technical sc...
45 篇 université de st...
44 篇 dept. of compute...
43 篇 dept. of electri...
42 篇 infn lnf via enr...

作者

85 篇 ferrara g.
85 篇 ardid m.
85 篇 gal t.
84 篇 calvo d.
84 篇 bozza c.
81 篇 chen a.
77 篇 kalekin o.
70 篇 díaz a.f.
65 篇 huang f.
63 篇 boumaaza j.
55 篇 coleiro a.
52 篇 kulikovskiy v.
48 篇 gozzini s.r.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.
37 篇 androulakis g.
35 篇 khatun a.
35 篇 del burgo r.

语言

42,962 篇 英文
4,930 篇 其他
564 篇 中文
208 篇 朝鲜文
37 篇 日文
4 篇 德文
2 篇 斯洛文尼亚文
1 篇 阿拉伯文
1 篇 法文
1 篇 土耳其文

检索条件"机构=Dept. of Electrical and Computer Engineering and Computer Science University of Cincinnati"

共 48662 条记录，以下是511-520 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：

Financial Viability of PV Grid for an Intelligent System of Residential Buildings in sub-urban Areas of Punjab, Pakistan 16

Financial Viability of PV Grid for an Intelligent System of ...

引用

16th Seminar on Power Electronics and Control, SEPOC 2024

作者： Shehzad, Moazzam Jamal, Nasir Muqeet, Hafiz Abdul Qureshi, Noman Sohaib Lincoln University College Dept. of Electrical Engineering Petaling Jaya Malaysia Punjab Tianjin University of Technology Dept. of Electrical Engineering Lahore Pakistan University of Engineering and Technology RCET Campus Dept. of Computer Science Lahore Pakistan

ISBN: (纸本)9798350379419

With fuel prices rising and environmental concerns intensifying, the financial burden on consumers and businesses has shown an upward trajectory, prompting a search for sustainable alternatives sources. This study investigates the financial feasibility of installing a grid-tied solar photovoltaic (PV) system in residential buildings in suburban areas of Punjab, Pakistan. The research uses a complete intelligent financial model to assess the feasibility of a grid-connected solar PV system, incorporating parameters such as solar irradiance levels, system size, capital costs, operating expenses, energy rates, its incentives, and payback periods in a systematic computational optimization methodology. The shift to solar photovoltaic systems provides an affordable way to lower energy bills that can also lessen the dependency on fossil fuels. Additionally, solar PV systems help significantly to reduce greenhouse gas emissions and environmental damages by utilizing the clean energy of the sun. This is in line with worldwide efforts to battle climate change and protect the planet from environmental concerns. This research uses RET Screen software to evaluate the financial feasibility with GHG reduction analysis as well. The study's findings are useful for homeowners, policymakers, and stakeholders interested in encouraging renewable energy adoption and sustainable development in Punjab, Pakistan's suburban region. © 2024 IEEE.

关键词： Computational Optimization Feed-In-Tariff Net Energy Metering Net Present Value Net-Metering

来源：评论

学校读者我要写书评

暂无评论

Psychological Wellbeingness Prediction Using Machine Learning with Hybrid Hyparameter Tuning Techniques

Psychological Wellbeingness Prediction Using Machine Learnin...

引用

2024 International Conference on Artificial Intelligence and Emerging Technology, Global AI Summit 2024

作者： Rajah, Puvanenthira Habib, Masruk Ravikumar, R.N. Nadarajan, Sivakumar Chougule, Bhagyashree Amit Kirubhakaran, M. Marwadi University Dept. of Computer Engineering Rajkot India Alliance University Dept. of Computer Science and Engineering Bangalore India Tatyasaheb Kore Institute of Engineering and Technology Dept. of Computer Engineering Maharashtra India Suriya Engineering College Dept. of Ai & Ds Erode India

ISBN: (纸本)9798350379716

This study investigates the application of machine learning (ML) techniques in predicting Psychological Well-being outcomes, emphasizing the use of ensemble methods like AdaBoost and Random Forest for enhanced accuracy. With Psychological well-being issues affecting a significant portion of the global population, traditional assessment methods are challenged by issues of accessibility, stigma, and subjectivity. Leveraging data from various surveys, this research compares different ML algorithms, including Logistic Regression and Support Vector Machines, in predicting psychological well-being conditions. The results highlight the superior performance of AdaBoost and Random Forest, particularly when hyperparameters are finely tuned, achieving accuracies up to 0.996. The study underscores the potential of ML in improving psychological well-being interventions by offering precise, unbiased, and accessible diagnostic tools. Future research directions include the integration of multimodal data and the development of models that can suggest personalized treatment plans while ensuring data privacy. This paper advocates for the integration of advanced computational techniques with clinical insights to revolutionize psychological well-being diagnostics and care. © 2024 IEEE.

关键词： Clinical research

来源：评论

学校读者我要写书评

暂无评论

Detection of Brain Tumor Using a Deep Learning Approach

Detection of Brain Tumor Using a Deep Learning Approach

引用

2025 International Conference on Artificial Intelligence and Data engineering, AIDE 2025

作者： Arun Kumar, S. Anand Kumar, M. Vincent, Robin Rohit Anusha M, S. Hegde, Uttam Upendra Pasha, N Nauman Dept. of Computer Studies Pune India Networks & IoT Lab Presidency University Dept. of Information Science and Engineering Bangaluru India Presidency University Bio-Intelligence Lab Dept. of Computer Science and Engineering Bangaluru India

ISBN: (纸本)9798331527518

This study introduces a deep learning-based method for classifying brain tumors using a pre-trained VGG19 convolutional neural network (CNN). By leveraging transfer learning, we adapted the VGG19 model with custom fully connected layers and trained it on MRI images to differentiate between tumor and non-tumor cases. The model's architecture includes dropout layers to minimize overfitting and enhance generalization while maintaining the robust feature extraction capabilities of the VGG19 base. We developed a Flask web application interface to make the model accessible via web-based user input, allowing users to upload MRI images and receive immediate predictions on tumor presence. Preliminary results show that proposed model can accurately classify brain tumor images with high accuracy, highlighting the potential of deep learning in automating brain tumor diagnostics. This tool could significantly aid clinicians in making rapid and accurate diagnoses, ultimately improving patient outcomes. © 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

Multi-Layered Security Techniques for Protecting Cooperative Relay Networks from Eavesdropping

Multi-Layered Security Techniques for Protecting Cooperative...

引用

2024 International Conference on Cybernation and Computation, CYBERCOM 2024

作者： Upadhyay, Deepak Sharma, Kunj Bihari Upadhyay, Abhay Gupta, Mridul Dhondiyal, Shiv Ashish Asudani, Deepak Suresh Graphic Era Hill University Dept. of Computer Science and Engineering Dehradun India Graphic Era Deemed to Be University Dept. of Computer Science and Engineering Dehradun India Pune India

ISBN: (纸本)9798331542344

In this paper, we study the multi-layered security approaches for cooperative relay networks against passive eavesdropping adversaries. Specifically, we investigated physical layer approaches (i.e., beamformed and artificial noise injections) to improve the signal defence ability at a much lower eavesdropping capacity. Trade-offs in these cryptographic methods were studied in terms of encryption strength vs. decryption time under different loads on the network. The security of the network layer was assessed by measuring packet delivery ratios and data integrity violations under malicious nodes. Results show that multi-layer security is performed at the cost of performance, but much better network defence mechanisms are proposed overall. While this end-To-end approach strikes a reasonable balance between security and real-world performance considerations, it presents itself as a sensible solution for securing network communications against eavesdropping threats. © 2024 IEEE.

关键词： Network layers

来源：评论

学校读者我要写书评

暂无评论

LegalAI Across Languages: A Comprehensive Survey on Tasks, Methodologies and Challenges 1

LegalAI Across Languages: A Comprehensive Survey on Tasks, M...

引用

1st International Conference on AIML-Applications for engineering and Technology, ICAET 2025

作者： Deshpande, Anjali Deshmukh, Pratiksha COEP Technological University Dept. of Computer Science and Engineering Pune India PICT Dept. of AI & DS Pune India School of Computational Sciences COEP Technological University Dept. of Computer Science and Engineering Pune India

ISBN: (纸本)9798350355611

Natural Language Processing (NLP) is revolutionizing the legal domain, enabling tasks such as predicting legal outcomes, summarizing complex documents, identifying key entities, and assessing bail risks. This survey paper presents a comprehensive review of the existing research on NLP tasks applied to legal documents and judgments across various languages, with a special emphasis on low-resource languages. Despite the extensive work done in widely spoken languages like English, there remains a critical need to extend these advancements to languages with limited resources and data availability. This paper categorizes and analyzes the NLP tasks in the legal domain based on the languages they target. It highlights the methodologies employed, datasets utilized, and the performance of different models across diverse languages. Furthermore, it identifies the gaps in current research and proposes potential directions for future work, particularly in improving the accessibility and applicability of NLP solutions for legal texts in underrepresented languages. By providing a comprehensive overview of advancements and obstacles, this survey seeks to assist future research endeavors that bridge the disparity between high-resource and low-resource languages in legalAI applications. © 2025 IEEE.

关键词： Risk assessment

来源：评论

学校读者我要写书评

暂无评论

Image to Audio Using LLM for Blind People 1

Image to Audio Using LLM for Blind People

引用

1st International Conference on Data, Computation and Communication, ICDCC 2024

作者： Kumaresan, T. Geetha, A. Rajeshkumar, G. Benita Gracia Thangam, J. Eswaran, Malathi Rajkumar, Thivya Bannari Amman Institute of Technology Dept. of Computer Science and Engineering Sathyamangalam India Presidency University Dept. of Computer Science and Engineering Bangalore India Velalar college of Engineering and Technology Dept. of Artificial Intelligence and Data science Erode India Kongu engineering College Dept. of Computer Technology Perundurai India

ISBN: (纸本)9798331532956

Blind people face many difficulties while engaging with their surroundings. This project is all about creating innovative solutions for the blind people by providing the information in the format of audio. Image-to-Audio transformation system specifically designed for natural language understanding using Large Language Model (LLM).The system will capture a picture or video of the situation present in front of the blind person and then provide descriptions about the images. The objective is to provide guidelines for blind people by understanding their surroundings through an LLM model and provide audio response. The CLIP model analyzes the objects, scenes, text etc.. and provides relevant information. The extracted visual data is then passed through GTTs (Google-Text-To-Speech) to create rich audio descriptions. It provides accurate and detailed representation of the visual content, allowing blind people to understand their surroundings. The project involves integrating convolutional neural networks and Large Language Model (e.g GPT-4) technologies to create a real-time image-to-text system for blind individuals. The CNN model is used to calculate the distance of the object from the user. We are integrating the Google Assistants to open the app automatically by the blind people with help of their voice. © 2024 IEEE.

关键词： Image retrieval

来源：评论

学校读者我要写书评

暂无评论

Robustly Optimized Multimedia Local and Global Context Analysis at Multi-modal Balance 25

Robustly Optimized Multimedia Local and Global Context Analy...

引用

40th Annual ACM Symposium on Applied Computing, SAC 2025

作者： Yoon, Junho Lim, Kiho Choi, Chang Dept. of Computer Engineering Gachon University Seongnam Korea Republic of Dept. of Computer Science William Paterson University of New Jersey NJ United States

ISBN: (纸本)9798400706295

Recent media have increasingly shifted towards multimedia formats that simultaneously utilize visual and linguistic information. Research on multimodal AI is actively conducted to analyze large-scale multimodal data effectively. Multimodal AI fuses the probability and feature values extracted from single modalities by a backbone model, enabling the simultaneous analysis of multimodal information. This allows for discovering new insights that may not be detectable through single-modality analysis. Depending on the data collection environment, multimedia can be classified into one-to-one and one-to-many modality balances. Previous multimodal AI approaches analyze these one-to-many relationships by downsampling or duplicating data to fit a one-to-one relationship. In this paper, we optimize multimedia analysis in one-to-one and one-to-many modality balances based on the local and global context analysis capabilities of multimodal AI and the multimodal analysis characteristics of backbone models. The multimedia analysis system employs late score and feature fusion to independently analyze the local context as the baseline for multimodal AI. In contrast, early and hierarchical feature fusion is utilized for comprehensive global context analysis. The backbone models used include ViT and RoBERTa to analyze the overall structure of multimodal data and BEiT and DeBERTa to analyze structural features. Experimental results show that, in the duplication method, late score and feature fusion, which independently analyze the local context of multimodal data, are 0.56% more accurate and achieve an f1 score that is 0.025 higher. Additionally, BEiT and DeBERTa, which analyze structural features, demonstrate a 0.2% increase in accuracy and a 0.0167 improvement in f1 score. In the downsampling method, early and hierarchical feature fusion, which comprehensively analyzes the global context, outperforms by 1.17% in accuracy and 0.0164 in f1 score. Furthermore, ViT and RoBERTa, which foc

关键词： Image fusion

来源：评论

学校读者我要写书评

暂无评论

Unified Face Matching and Physical-Digital Spoofing Attack Detection

Unified Face Matching and Physical-Digital Spoofing Attack D...

引用

2025 IEEE/CVF Winter Conference on Applications of computer Vision Workshops, WACVW 2025

作者： Kunwar, Arun Rattani, Ajita University of North Texas Dept. of Computer Science and Engineering Denton United States

ISBN: (纸本)9798331536626

Face recognition technology has dramatically trans-formed the landscape of security, surveillance, and authentication systems, offering a user-friendly and non-invasive biometric solution. However, despite its significant advantages, face recognition systems face increasing threats from physical and digital spoofing attacks. Current research typically treats face recognition and attack detection as distinct classification challenges. This approach necessitates the implementation of separate models for each task, leading to considerable computational complexity, particularly on devices with limited resources. Such inefficiencies can stifle scalability and hinder performance. In response to these challenges, this paper introduces an innovative unified model designed for face recognition and detection of physical and digital attacks. By leveraging the advanced Swin Transformer backbone and incorporating Hil:o attention in a convolutional neural network framework, we address unified face recognition and spoof attack detection more effectively. Moreover, we introduce augmentation techniques that replicate the traits of physical and digital spoofing cues, significantly enhancing our model ro-bustness. Through comprehensive experimental evaluation across various datasets, we showcase the effectiveness of our model in unified face recognition and spoof detection. Additionally, we confirm its resilience against unseen physical and digital spoofing attacks, underscoring its potential for real-world applications. © 2025 IEEE.

关键词： digital attacks face matching physical attacks unified models

来源：评论

学校读者我要写书评

暂无评论

Finite State Machine for Testing the GUI Using Genetic Algorithm Based on Weightage Given to Different Classes 1

Finite State Machine for Testing the GUI Using Genetic Algor...

引用

1st International Conference on Recent Developments in Electronics and Communication Systems, RDECS 2022

作者： Kumar, Sumit Nitin Yadav, Mitul Department of Computer Science and Engineering Uttarakhand Technical University Dehradun India Educator of Electrical Engineering and Computer Science University of Cincinnati Cincinnati United States Department of Computer Science Dev Bhoomi Institute of Technology Dehradun India

ISBN: (纸本)9781643683607

In this paper, we have proposed testing the graphical user interface (GUI) applications using the idea of finite state machines and then comparing the results with the model generated using Matlab: which represents the machine that tested the actual GUI. This environment can help write efficient test cases to test the actual graphical interfaces of the application under the test. For the testing of our system, a small GUI for the calculator is developed. Then the finite state diagram for the same design will be used as a machine for the simulation. The results from the Matlab model are compared with the actual application. The defects are also identified and demonstrated. © 2023 The authors and IOS Press.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Diabetes Prediction Models: Leveraging Advanced Feature Reduction and Classification Methods 22

Revolutionizing Diabetes Prediction Models: Leveraging Advan...

引用

22nd International Learning and Technology Conference, L and T 2025

作者： Attiah, Ameera Alagha, Mawaddah Bukassim, Lujain El-Kafrawy, Passent College of Engineering Effat University Computer Science Dept. Jeddah Saudi Arabia

ISBN: (纸本)9798331532215

The global challenge of diabetes demands innovative approaches for early diagnosis and effective management. This paper investigates the integration of advanced dimensionality reduction and feature selection techniques to improve diabetes prediction models. Utilizing Principal Component Analysis (PCA) and the Artificial Bee Colony (ABC) algorithm, the study focuses on optimizing feature selection to enhance model accuracy, computational efficiency, and interpretability. Employing two diverse datasets - the Behavioral Risk Factor Surveillance System (BRFSS) and the Pima Indians Diabetes Dataset - the research evaluates the performance of Random Forest and Logistic Regression models. Results reveal significant improvements in predictive accuracy and computational efficiency, particularly with ABC-selected features, reducing feature dimensionality while maintaining high accuracy. This study underscores the potential of combining PCA and ABC to revolutionize predictive healthcare analytics, offering robust tools for diabetes management and prevention. © 2025 IEEE.

关键词： Dimensionality reduction

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 << < 48 49 50 51 52 53 54 55 56 57 > >>

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：