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

30,380 篇 会议
4,648 篇 期刊文献
239 册 图书

馆藏范围

35,267 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

21,799 篇 工学
- 15,762 篇 计算机科学与技术...
- 13,251 篇 软件工程
- 5,816 篇 信息与通信工程
- 3,436 篇 控制科学与工程
- 2,683 篇 电子科学与技术（可...
- 2,620 篇 电气工程
- 2,351 篇 生物工程
- 1,891 篇 生物医学工程（可授...
- 1,538 篇 光学工程
- 1,346 篇 机械工程
- 1,217 篇 动力工程及工程热...
- 1,204 篇 仪器科学与技术
- 1,016 篇 化学工程与技术
- 855 篇 安全科学与工程
- 721 篇 交通运输工程
11,171 篇 理学
- 6,041 篇 数学
- 3,059 篇 物理学
- 2,570 篇 生物学
- 1,996 篇 统计学（可授理学、...
- 1,336 篇 系统科学
- 1,088 篇 化学
5,627 篇 管理学
- 3,282 篇 管理科学与工程(可...
- 2,624 篇 图书情报与档案管...
- 1,825 篇 工商管理
1,600 篇 医学
- 1,389 篇 临床医学
- 1,299 篇 基础医学(可授医学...
- 851 篇 药学(可授医学、理...
- 677 篇 公共卫生与预防医...
1,028 篇 法学
- 822 篇 社会学
644 篇 经济学
- 644 篇 应用经济学
490 篇 农学
430 篇 教育学
156 篇 文学
77 篇 军事学
39 篇 艺术学
1 篇 哲学

主题

1,120 篇 accuracy
871 篇 feature extracti...
856 篇 computational mo...
741 篇 deep learning
683 篇 training
679 篇 computer science
537 篇 real-time system...
523 篇 support vector m...
499 篇 machine learning
461 篇 predictive model...
426 篇 internet of thin...
373 篇 convolutional ne...
364 篇 data models
354 篇 computer archite...
334 篇 reliability
309 篇 optimization
291 篇 data mining
281 篇 routing
263 篇 wireless sensor ...
255 篇 conferences

机构

83 篇 institut univers...
82 篇 north-west unive...
81 篇 national centre ...
79 篇 infn sezione di ...
77 篇 institute of inf...
76 篇 infn sezione di ...
76 篇 tno technical sc...
67 篇 université de st...
67 篇 dept. of informa...
66 篇 università di ca...
64 篇 nikhef national ...
58 篇 dept. of informa...
57 篇 dept. of compute...
56 篇 dept. of compute...
53 篇 leiden universit...
52 篇 school of automa...
52 篇 dept. of compute...
49 篇 dept. of compute...
47 篇 university würzb...
45 篇 dept. of electri...

作者

85 篇 ferrara g.
85 篇 ardid m.
85 篇 gal t.
85 篇 bozza c.
84 篇 calvo d.
82 篇 kalekin o.
81 篇 chen a.
80 篇 díaz a.f.
80 篇 boumaaza j.
78 篇 coleiro a.
77 篇 gozzini s.r.
70 篇 huang f.
70 篇 dallier r.
60 篇 anguita m.
52 篇 kulikovskiy v.
44 篇 del burgo r.
41 篇 benoit d.m.
41 篇 eddymaoui a.
40 篇 gagliardini s.
40 篇 labalme m.

语言

31,526 篇 英文
3,344 篇 其他
301 篇 中文
54 篇 日文
45 篇 朝鲜文
2 篇 德文
2 篇 斯洛文尼亚文
1 篇 法文
1 篇 葡萄牙文

检索条件"机构=Computer Applications in Science and Engineering dept."

共 35267 条记录，以下是1161-1170 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：

Supply Chain Logistics With Hybrid Optimization using ADMM and Vehicle Routing Problem 1

Supply Chain Logistics With Hybrid Optimization using ADMM a...

引用

1st International Conference on Innovations in Communications, Electrical and computer engineering, ICICEC 2024

作者： Reddy, T. Sudeep Dhanush, D. Krithin, T. Jayan, Sarada Amrita School of Computing Dept. of Computer Science and Engineering Bengaluru India Amrita Vishwa Vidyapeetham Amrita School of Engineering Dept. of Mathematics Bengaluru India

ISBN: (纸本)9798350376517

Delivery routing and truck assignment for transportation resources are essential elements in the dynamic world of supply chain management and logistics. This study proposes a framework for maximising the number of trucks assigned and the delivery routes by using OR-Tools to solve the Vehicle Routing Problem (VRP) and the Alternating Direction Method of Multipliers (ADMM) for demand assignment. With consideration for each vehicle's capacity, air conditioning condition, and demand priority, we created a realistic dataset that included warehouse locations, truck specifications, and delivery demand priorities. A time matrix was created by converting a distance matrix and assuming a constant speed of movement between the warehouses. Based on compatibility restrictions including vehicle capacity, air conditioning requirements, demand priority, and overall cost reduction, the ADMM algorithm allocates delivery demands to trucks. To successfully balance these aspects, the objective function incorporates weights for cost, priority, and distance. Following demand assignment, delivery routes are optimised using OR-Tools. Time windows and vehicle capacities are included as limitations to guarantee that deliveries are made within predetermined windows while reducing travel time and distance. In addition, a web application that offers an interactive platform for managing trucks, warehouses, and needs was created utilising the Flask framework. Through an easy-to-use interface, users can examine optimised routes, add new entries, and view extensive informative dashboard. By meeting delivery deadlines and maximising resource utilisation, this integrated approach produces notable operational efficiencies. This illustrates the potential of fusing cutting-edge optimisation techniques with useful application to handle real-world logistics problems. © 2024 IEEE.

关键词： Travel time

来源：评论

学校读者我要写书评

暂无评论

Asthma Assessment Device for Pediatric Patients: A Proof of Concept

Asthma Assessment Device for Pediatric Patients: A Proof of ...

引用

2023 International Symposium on Networks, computers and Communications, ISNCC 2023

作者： Al-Ghafran, Muneera Ahmadizadeh, Fatemeh Al-Naimi, Asma Abualsaud, Khalid Yaacoub, Elias College of Engineering Dept. of Computer Science & Engineering Qatar University Doha Qatar

ISBN: (纸本)9798350335590

Asthma is a common lung illness that causes breathing difficulties. It affects people of all ages and generally begins in childhood;however, it can also appear in adults for the first time. There is presently no cure, but there are basic treatments that can help keep the symptoms under control. This paper aims to monitor asthma attacks for pediatrics under twelve years according to the following parameters: oxygen blood level, respiratory rate, and pulse rate. The resulting measures would be compared to pre-determined health standards. The respiratory rate is calculated and deduced by analyzing the result of air pressure sensor. The pulse rate and oxygen level are obtained from an oximeter. These measurements were compared with the normal health status to decide if the child has an asthma attack or not. The result is given within two minutes. The values of the three parameters and the final status of asthma are displayed on the screen. The main aim of the paper is to propose a monitoring device that can be used in a hospital or at home where parents can constantly check the status of their children in a short period of time without having to go to the hospital. The success of this device is getting accuracy higher than 85%. © 2023 IEEE.

关键词： Hospitals

来源：评论

学校读者我要写书评

暂无评论

Generalized Index Modulation System and Application for Satellite Communications 6

Generalized Index Modulation System and Application for Sate...

引用

6th IEEE Novel Intelligent and Leading Emerging sciences Conference, NILES 2024

作者： Ghorib, Khaled A. Abdelaziz, Amr Darwesh, Ahmed F. Mohasseb, Yahya Military Technical College Dept. of Communication Engineering Cairo Egypt Arab Academy for Science Technology and Maritime Transport Dept. of Computer Engineering Cairo Egypt

ISBN: (纸本)9798350378511

The generalized index modulation (G-IM) technique provides an improvement in bit error rate (BER), spectral efficiency (SE), and/or energy efficiency (EE) over traditional digital modulation schemes. However, G-IM techniques suffer from the propagation of errors due to the incorrect detection of indices for higher modulation order (M > 4). To alleviate the risk of error propagation, the enhancement of the correct indices detection probability is a crucial requirement for G-IM systems. This paper presents an error propagation-free generalized index modulation (G-IM) system with adaptive coding modulation in which the indices bits are coded independently on the information bits. The main focus of this study is to derive a quantitative relation between the target system BER and the required indices error rate and, hence, to derive the overall system error probability. In particular, an analytical total BER formula for the error propagation-free G-IM system is provided and compared to the total BER of the classical counterpart modulation techniques. Hence, a direct relationship between the BER of index bits and the ordinary modulation BER is represented, providing an approximate threshold after which the target BER of the G-IM system outperforms the traditional modulation techniques. To validate our established results, the G-IM system with low density parity check code with binary phase shift keying modulation technique (LDPC-BPSK), as a simple satellite coding-modulation scheme which is used in satellite digital video broadcasting TV (DVB-T2) and deep-space communications, is described as a possible direct application for the G-IM system. once the index BER exceeds the threshold, the LDPC-BPSK modulated G-IM system significantly outperforms the classical BPSK modulation while keeping the same EE or SE yet on the expense of added encoder complexity. Moreover, once the index error tends to the zero point, the total G-IM BER reaches its lower limit, a 3 dB gain, thanks t

关键词： Binary phase shift keying

来源：评论

学校读者我要写书评

暂无评论

Multilingual Sentiment Analysis using DistilBert

Multilingual Sentiment Analysis using DistilBert

引用

2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor applications, ICAIQSA 2024

作者： Gupta, Nishi Bhattarai, Mandip Chavan, Abhishek Pimpri Chinchwad College of Engineering Dept. of Applied Science and Humanities Maharastra Pune India Pimpri Chinchwad College of Engineering Dept. of Computer Engineering Maharastra Pune India

ISBN: (纸本)9798331517953

In today's virtual age, studying feelings and sentiments through textual content and emojis is essential. This research article explores a way to use natural language processing (NLP) techniques to interpret feelings from textual content and emoji content. We used the distilbert-base-uncased-finetuned-sst2english version, a small variant model of BERT, to categorize feelings as positive or negative. Our experiments confirmed that the version executed extraordinarily properly throughout more than one language, with especially great effects on Indonesian textual content. Our assessment confirmed that the version has an excellent accuracy of91.50% and an F1 rating of 91.44% for Indonesian, highlighting its wonderful overall performance in this language. It additionally plays properly in English, French, German, Arabic, and Italian, even though overall performance may also range through language. These effects reveal the version's effectiveness for duties, social media monitoring, client comments evaluation, and inventory marketplace fashion assessment. We finish with a conclusion about the results of those findings. © 2024 IEEE.

关键词： Natural language processing systems

来源：评论

学校读者我要写书评

暂无评论

Classification of Musical Genres Using Audio Spectrograms 5

Classification of Musical Genres Using Audio Spectrograms

引用

5th IEEE International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2023

作者： Abbas, Mohammad Kazim Gupta, Kunal Mudassir, Mohammad Jain, Rishabh Galgotias College Of Engineering And Technology Dept. Of Computer Science And Engineering Greater Noida India Kiet Group Of Institutions Dept. Of Computer Science Delhi-NCR Ghaziabad India

ISBN: (纸本)9798350330861

The classification of music into distinct genres is a valuable undertaking in the realm of multimedia study, as it enables artists, albums, and songs to be categorized based on shared musical characteristics. This study aims to contribute to the field of music genre categorization by proposing an approach that can more accurately classify musical genres compared to existing methodologies. Our approach leverages the attributes extracted from the MK2 audio dataset, which is a compilation of musical genre data that has been collected and processed to facilitate the prediction of song genres. The proposed method employs convolutional neural networks (CNN) and utilizes audio spectrograms as input features. Additionally, this study presents a comparative analysis of our proposed approach with previous research papers, providing insights into the effectiveness of our proposed model. © 2023 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Data-Enhanced Prediction with Decomposition and Amplitude-Aware Permutation Entropy in Distributed Computing Systems

Data-Enhanced Prediction with Decomposition and Amplitude-Aw...

引用

2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Yuan, Haitao Hu, Qinglong Bi, Jing Zhang, Wei Zhang, Jia Zhou, MengChu School of Automation Science and Electrical Engineering Beihang University Beijing100191 China City University of Hong Kong Dept. of Computer Science 999077 Hong Kong College of Computer Beijing University of Technology Beijing100124 China University of Connecticut Dept. of Computer Science and Engineering StorrsCT06269 United States Southern Methodist University Dept. of Computer Science DallasTX75275 United States New Jersey Institute of Technology Dept. of Electrical and Computer Engineering NewarkNJ07102 United States

ISBN: (纸本)9781665410205

In recent years, distributed computing has wit-nessed widespread applications across numerous organizations. Predicting workload and computing resource data can facilitate proactive service operation management, leading to substantial improvements in quality of service and cost efficiency. However, these data often exhibit non-linearity, high volatility, and inter-dependencies across different categories, presenting challenges for accurate forecasting. Consequently, there is a critical need to develop a method that thoroughly and comprehensively analyzes all available data to forecast future trends effectively. This work proposes a novel integrated data-enhanced prediction model named SVI for achieving high-accuracy workload prediction in distributed computing systems. SVI employs the Savitzky-Golay filter and variational mode decomposition for feature processing, whose features are subsequently utilized by Informer for multivariate joint analysis of the enhanced data, achieving high-precision prediction. Ablation and comparative experiments with advanced prediction models are conducted on the Google cluster trace and other typical datasets. Realistic data-driven results indicate that SVI improves the prediction accuracy by 35.4% compared to the original Informer, with each module contributing to the performance enhancement. Furthermore, compared with Autoformer, SVI enhances the prediction accuracy of workload, CPU, and memory by 62.5%, 65.6%, and 69.1 %, respectively. © 2024 IEEE.

关键词： Quality of service

来源：评论

学校读者我要写书评

暂无评论

Cultural Intelligence in AI Ethics: A Systematic Framework for Implementation Across Global Contexts 3

Cultural Intelligence in AI Ethics: A Systematic Framework f...

引用

3rd International Conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025

作者： Kumar, Devesh Kumar, Kamlesh Choudhary, Rahul Kumar Singh, Varnika NIT Hamirpur Dept. of Computer Science & Engineering India NIT Hamirpur Dept. of Electrical Engineering India Panjab University UIET Dept. of Electronics & Communication Engineering Chandigarh India

ISBN: (纸本)9798331523893

This research examines artificial intelligence ethics implementation across diverse cultural contexts through case studies in healthcare, finance, education, and corporate sectors. Using mixed-methods analysis across six cultural regions, the study reveals fundamental variations in approaches to AI ethics, particularly regarding data privacy and human-technology relationships. The integration of Western, Eastern, and African perspectives yields three frameworks: a cultural intelligence model for AI development, an adaptive governance mechanism, and a cross-cultural collaboration approach. Results demonstrate that successful AI implementation requires balancing diverse cultural perspectives with technical innovation through flexible governance structures, providing practical pathways for culturally sensitive AI development. © 2025 IEEE.

关键词： Intelligent computing

来源：评论

学校读者我要写书评

暂无评论

IMPLICIT NEURAL REPRESENTATION INFERENCE FOR LOW-DIMENSIONAL BAYESIAN DEEP LEARNING 12

IMPLICIT NEURAL REPRESENTATION INFERENCE FOR LOW-DIMENSIONAL...

引用

12th International Conference on Learning Representations, ICLR 2024

作者： Dimitrakopoulos, Panagiotis Sfikas, Giorgos Nikou, Christophoros Dept. of Computer Science & Engineering University of Ioannina Ioannina Greece Dept. of Surveying & Geoinformatics University of West Attica Athens Greece

Bayesian inference is the standard for providing full predictive distributions with well calibrated uncertainty estimates. However, scaling to a modern, overparameterized deep learning setting typically comes at the cost of severe and restrictive approximations, sacrificing model predictive strength. With our approach, we factor model parameters as a function of deterministic and probabilistic components;the model is solved by combining maximum a posteriori estimation of the former, with inference over a low-dimensional, Implicit Neural Representation of the latter. This results in a solution that combines both predictive accuracy and good calibration, as it entails inducing stochasticity over the full set of model weights while being comparatively cheap to compute. Experimentally, our approach compares favorably to the state of the art, including much more expensive methods as well as less expressive posterior approximations over full network parameters. © 2024 12th International Conference on Learning Representations, ICLR 2024. All rights reserved.

关键词： Uncertainty analysis

来源：评论

学校读者我要写书评

暂无评论

Monitoring AI-Based Processing for Predicting Poisonous Gas Emissions in Smart Cities Using Novel Temporal Dynamics Prediction Model 2

Monitoring AI-Based Processing for Predicting Poisonous Gas ...

引用

2nd International Conference on Data science and Information System, ICDSIS 2024

作者： Jaisharma, K. Deepa, N. Devi, T. Saveetha Institute Of Medical And Technical Sciences Saveetha School Of Engineering Dept. Of Computer Science And Engineering Chennai India

ISBN: (纸本)9798350381665

Smart cities, driven by technological advancements, face challenges related to environmental pollution, including poisonous gas emissions. Existing systems often struggle to efficiently monitor and predict these emissions, leading to limitations in accurately assessing and mitigating air quality issues. This study proposes a groundbreaking solution, the Novel Temporal Dynamics Prediction (NTDP) model, designed to overcome the limitations of current systems. By harnessing the NTDP model's innovative approach, smart cities can enhance their capability to analyze and forecast poisonous gas emissions, thereby improving the effectiveness of environmental management. The NTDP model offers a promising avenue for the future, revolutionizing the way smart cities address and mitigate the impact of toxic pollutants on air quality. The NTDP model achieved an accuracy of 99.1%, sensitivity of 98.9% and RMSE training 1.6 and testing 1.54 ug/m3. The results affirm the robustness and effectiveness of our optimized implementation, positioning it as a standout solution in disease prediction compared to commonly used machine learning techniques. © 2024 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Federated Learning for Enhanced Cell Nuclei Segmentation in Histopathological Images

Federated Learning for Enhanced Cell Nuclei Segmentation in ...

引用

2024 IEEE International Conference on Big Data, BigData 2024

作者： Usai, Marco Loddo, Andrea Putzu, Lorenzo Ruberto, Cecilia Di University of Cagliari Dept. of Mathematics and Computer Science Cagliari Italy University of Cagliari Dept. of Electrical and Electronic Engineering Cagliari Italy

ISBN: (纸本)9798350362480

This study addresses the critical challenge of cell nuclei segmentation in histopathological image analysis, which is essential for cancer diagnosis and prognosis. Traditional segmentation methods often struggle with complexities such as overlapping nuclei and variations in shape and size. Recent advancements in machine learning and deep learning, particularly convolutional neural networks, have improved segmentation accuracy but face limitations due to the need for large annotated datasets, often constrained by privacy regulations in the medical field. This research explores federated learning as a solution, enabling collaborative model training across institutions without sharing sensitive patient data. By leveraging diverse datasets while maintaining privacy, federated learning enhances model robustness and generalization capabilities. The study evaluates various federated learning techniques on in- and out-of-domain test sets, aiming to improve the reliability of segmentation models in clinical settings. The findings suggest that federated learning techniques can effectively address the challenges of data scarcity and domain shift, paving the way for more accurate and widely applicable segmentation algorithms in computational pathology. © 2024 IEEE.

关键词： Federated learning

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 << < 113 114 115 116 117 118 119 120 121 122 > >>

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：