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

4,215 篇 会议
85 篇 期刊文献
77 册 图书

馆藏范围

4,377 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

2,876 篇 工学
- 2,406 篇 计算机科学与技术...
- 1,339 篇 软件工程
- 624 篇 电气工程
- 540 篇 信息与通信工程
- 353 篇 控制科学与工程
- 150 篇 机械工程
- 121 篇 动力工程及工程热...
- 113 篇 电子科学与技术（可...
- 76 篇 生物工程
- 60 篇 仪器科学与技术
- 55 篇 石油与天然气工程
- 54 篇 环境科学与工程（可...
- 51 篇 材料科学与工程（可...
- 50 篇 建筑学
- 50 篇 生物医学工程（可授...
- 47 篇 光学工程
- 46 篇 交通运输工程
- 44 篇 安全科学与工程
637 篇 理学
- 370 篇 数学
- 136 篇 物理学
- 96 篇 生物学
- 92 篇 统计学（可授理学、...
- 90 篇 系统科学
- 43 篇 化学
512 篇 管理学
- 352 篇 管理科学与工程(可...
- 202 篇 图书情报与档案管...
- 193 篇 工商管理
70 篇 医学
- 56 篇 临床医学
67 篇 法学
- 50 篇 社会学
52 篇 经济学
- 52 篇 应用经济学
31 篇 教育学
12 篇 农学
12 篇 军事学
4 篇 文学
1 篇 艺术学

主题

221 篇 distributed comp...
218 篇 distributed comp...
82 篇 computer archite...
78 篇 distributed data...
72 篇 computer science
69 篇 cloud computing
68 篇 computer network...
64 篇 application soft...
60 篇 grid computing
60 篇 distributed syst...
53 篇 middleware
51 篇 protocols
49 篇 artificial intel...
48 篇 concurrent compu...
48 篇 software enginee...
47 篇 real time system...
47 篇 distributed powe...
42 篇 costs
41 篇 scalability
41 篇 database systems

机构

10 篇 distributed syst...
7 篇 beijing hiwing s...
7 篇 irisa rennes
7 篇 unmanned system ...
7 篇 nanjing universi...
7 篇 college of intel...
7 篇 beijing universi...
7 篇 3-30-1 wajiro-hi...
6 篇 shanghai jiao to...
5 篇 tsinghua univ de...
5 篇 ieee
5 篇 carnegie mellon ...
5 篇 sun yat-sen univ...
5 篇 beijing univ pos...
5 篇 national univers...
5 篇 department of in...
4 篇 ocean univ china...
4 篇 china electric p...
4 篇 beijing univ pos...
4 篇 seikei universit...

作者

14 篇 dustdar schahram
12 篇 barolli leonard
11 篇 xhafa fatos
11 篇 anon
8 篇 takizawa makoto
7 篇 yifeng niu
7 篇 wenxing fu
7 篇 mancang gu
7 篇 yi qu
5 篇 li kuan-ching
5 篇 enokido tomoya
5 篇 segundo moisés t...
5 篇 luis enrique maf...
4 篇 kulla elis
4 篇 decker christian
4 篇 ikeda makoto
4 篇 molina m. g.
4 篇 truong hong-linh
4 篇 liu feng
4 篇 suresh chandra s...

语言

4,280 篇 英文
82 篇 其他
24 篇 中文
1 篇 西班牙文
1 篇 法文
1 篇 俄文

检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

共 4377 条记录，以下是101-110 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：

3rd international conference on Electronic Governance with Emerging Technologies, EGETC 2024

3rd International Conference on Electronic Governance with E...

引用

3rd international conference on Electronic Governance with Emerging Technologies, EGETC 2024

ISBN: (纸本)9783031770289

The proceedings contain 17 papers. The special focus in this conference is on Electronic Governance with Emerging Technologies. The topics include: Ecological Development of a Novel Machine Learning Technique for Electricity Consumption and Cost Prediction in Cloud computing;blockchain Based Decentralized Approach for Securing Fog computing Environment;Enhancing Face Spoofing Detection Via CNN Model Integration with Normalized Features;Study of ZigBee-Based Communication to Share Operative Weather Information Between UASs in the Frame of Smart Cities Concept;automating Exam Assessment Through Digital Transformation and Image Processing;an Analysis of Ethical Dimension of Machine Learning Models in Software Defect Prediction in Healthcare Sector;leaf Diseases Detection in Peach Using EfficientNet;medInsight: A Personalized Prescription Recommendation Using Machine Learning;intelligent Machine Learning for Cybersecurity: Anomaly Detection in Network Intrusion systems.and Beyond;Enhancing Cyber Resilience: Implementing DFMCAI for Threat Detection and Analysis;forecasting Future Credit Card Delinquencies: Leveraging Data Tables and Visual Analysis for Enhanced Accuracy;navigating the Strategic Landscape: An In-Depth Review of the Strategic Planning Process;exploring Text Vectorization on the Polarity Detection of Spanish Comments;Evolutionary Optimization Techniques for the Design of Three-Dimensional UAV’s Antenna Arrays;cooperative Multi-agent Pursuit-Evasion Using Convolutional Neural Networks.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent systems.for Collaborative Financial Decision-Making Over distributed Network Architectures

Multi-Agent Systems for Collaborative Financial Decision-Mak...

引用

Advancement in Computation & Computer Technologies (InCACCT), international conference on

作者： Himani Fnu Keshav Kaushik Priyanka Gaur Divya Valsala Saratchandran Anju Gairola Thapliyal Kawerinder Singh Sidhu Vineeta Singh Wipro Ltd Chicago IL USA Sharda School of Computer Science & Engineering Sharda University Greater Noida India Dept. of Computer Applications Chandigarh Group of Colleges Mohali India Bath and Body Works Inc. Ohio US Management and Commerce Department Institute of Technology and Management Dehradun Uttarakhand UIM Uttaranchal University Dehradun Department of Computer Science and Engineering School of Engineering and Technology (Formerly known as UIET Kanpur) Chhatrapati Shahu ji Maharaj University Kanpur Uttar Pradesh

ISBN: (数字)9798331543891

ISBN: (纸本)9798331543907

In financial collaborative decision-making use case, we focus on Multi-Agent systems.(MAS) based financial decision making through distributed network architectures. The study analyses agent collaboration efficiency, system scalability, communication overhead, and decision-making accuracy through simulating different scenarios. These results show that the system adapts to varying dynamic conditions, since it continues producing high performance as the number of agents and connectivity of the network both increase. To illustrate, heatmaps and comparisons of overhead and decision texts show less communication overhead and better decisions than traditional centralized approaches can generate. The results confirm the suitability of MAS for complex financial target patterns, thus providing a scalable, efficient and robust solution for the next generation of financial decision support systems. These findings help extend MAS-inspired approaches to distributed, high-stakes decision making environments.

关键词： Heating systems Decision support systems Scalability Decision making Collaboration Network architecture Reliability Next generation networking Multi-agent systems Resilience

来源：评论

学校读者我要写书评

暂无评论

3rd international conference on Advancements in Smart computing and Information Security, ASCIS 2024

3rd International Conference on Advancements in Smart Comput...

引用

3rd international conference on Advancements in Smart computing and Information Security, ASCIS 2024

ISBN: (纸本)9783031862984

The proceedings contain 28 papers. The special focus in this conference is on Advancements in Smart computing and Information Security. The topics include: Prediction of Anti-Cholinesterase Inhibitor for Alzheimer Disease Using Machine Learning Techniques;scrutinize Search Engine Optimization Strategies with Artificial Intelligence to Rank a Website;a Study on Machine Learning Algorithms: Forecasting Crop Prices;improving Student Stress Analysis: Novel Methods for Collecting, Preprocessing, and Fusing Features;extraction of Normal and Abnormal Region in Colposcopy Image to Support Cervical Cancer Clinical Decision;optimizing Pricing Strategies: A Comprehensive Framework Using Bayesian Inference and Game Theory;hybrid Ensemble Gradient Boosting Algorithm to Predict Diabetes Health Care Analytics;a Review on Machine Learning Algorithms for Real-Time Traffic Management;hyperparameter-Tuned Intention Mining for Mental Health Diagnosis Using Logistic Regression;machine Learning for Accessible and Precise Assessment in Smart Monitoring systems.an Efficient Model for Academic Performance Prediction of the University Students;comprehensive Comparative Study on Data Mining and Machine Learning Approaches for Fraud Detection in Financial Services;prediction of Stock Price and Detection of Stock Market Trends Using Adaptive Learning Techniques;asthma Prediction Using Fuzzification and Machine Learning Based Ensemble Classifier;detection and Analysis of Features of Optic Nerve Head Using Retinal Fundus Images of an Eye for a Priori Prediction of Glaucoma;a Hybrid Deep Learning Framework for Uncertain Supply Chains: An Optimization Approach;a Comprehensive Review of Machine Learning Techniques in Recommender System for E-Commerce Platform;Ethics of AI in the Educational Sector - Navigating the Moral Landscape;international Law and AI Interface.

关键词：

来源：评论

学校读者我要写书评

暂无评论

proceedings of the 2022 3rd international conference on Intelligent computing, Instrumentation and Control Technologies: Computational Intelligence for Smart systems. ICICICT 2022

Proceedings of the 2022 3rd International Conference on Inte...

引用

3rd international conference on Intelligent computing, Instrumentation and Control Technologies, ICICICT 2022

ISBN: (纸本)9781665410052

The proceedings contain 311 papers. The topics discussed include: exploration of performance of dynamic branch predictors used in mitigating cost of branching;a comparative study of ant colony optimization and genetic algorithm for path planning of aerial food delivery system;energy management, design constraints and solution for data dissemination in wireless sensor networks;a case study of BIM based approach for electrical installation detail drafting;design of self-tuning fuzzy Pi controller for MIMO process using an analytical approach for selecting the scaling factors;blood donor management system - an android based model and implementation;hybrid network security model for small and mid-sized enterprises;an approach for p2p based botnet detection using machine learning;a pilot investigation on the performance of auditory stimuli based on EEG signals classification for BCI applications;disease classification techniques – a survey;a reliable control system for unmanned aircraft using fault-tolerant control;a review on thermal infrared semantic distribution for nightfall drive;deep convolution neural network in classification of liver tumor as benign or malignant from abdominal computed tomography;and waste management and wealth generation through waste elimination.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Toward Enhancing 6G Security and Resilience with Blockchain: A Case Study on Mitigating SUCI Replay Attacks

Toward Enhancing 6G Security and Resilience with Blockchain:...

引用

IEEE international conference on Consumer Electronics (ICCE)

作者： Ilsun You Hoseok Kwon dept. Financial Information Security Kookmin University Seoul Republic of Korea

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Security/resilience is one of the four overarching aspects of 6G requirements. To enhance resilience, one potential technology that can be integrated into the network is blockchain. By leveraging synchronized and distributed peers participating in the blockchain network, blockchain technology mitigates single points of failure and provides enhanced resilience. To demonstrate the potential application of blockchain in 6G networks, we analyzed the SUCI(Subscription Concealed Identifier) replay attack reported by the 3GPP(3rd Generation Partnership Project) and proposed a blockchain-based solution to address this issue. Using an open-source 5G project, we implemented and tested the feasibility of integrating blockchain into the network, showcasing its potential to enhance security and resilience in next-generation communication systems.

关键词： 6G mobile communication 5G mobile communication Smart contracts Network security Blockchains 3GPP Synchronization Next generation networking Consumer electronics Resilience

来源：评论

学校读者我要写书评

暂无评论

Optimizing Large Scale Ontology Alignment to Establish Interoperability for Efficient Retrieval

Optimizing Large Scale Ontology Alignment to Establish Inter...

引用

Disruptive Technologies (ICDT), international conference on

作者： Usha Yadav Gyanendra Kumar National Institute of Fashion Technology Bengaluru Karnataka Manipal University Jaipur Jaipur Rajasthan

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

The Semantic Web is aiming to add meaning and structure to the vast amount of data available online. It aims to make information machine-readable and interpret, unlike traditional web pages that are designed for human consumption. The increase in adoption of semantic web technologies resulted in the generation of vast number of ontologies with varying size and heterogeneity. The efficient ontology matching system to align the large number of ontologies is extremely required to allow interoperability in cross domain. Although there are various ontology matching systems.available which could handle matching small ontologies but when it comes to matching large scale ontologies, high computational and space requirements is always a challenge. In this paper, an ontologies matching system is proposed which partition the large-scale healthcare ontologies in parallel using base level ontology partitioning method and the similarity between the entities are computed using Adjustment similarity computation method. However, the alignment discovery process demands high computational requirement, therefore in this proposed system, the distributed and parallel approach of Map Reduce technique is used to make system more scalable and efficient.

关键词： Semantic Web Accuracy Scalability Memory management Web pages Medical services Ontologies distributed computing Disruptive technologies Interoperability

来源：评论

学校读者我要写书评

暂无评论

Comparative Study of Spatial Diversity Techniques in Log-Normal Shadowing Channels

Comparative Study of Spatial Diversity Techniques in Log-Nor...

引用

Device Intelligence, computing and Communication Technologies, (DICCT), international conference on

作者： Raj Ranjan Deepak Upadhyay Mukesh Soni Rashmi Sharma Mridul Gupta Nookala Venu Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Department of CSE University Centre for Research & Development Chandigarh University Mohali Punjab Department of CSE Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India Dept. of Electronics and Communication Engineering Graphic Era deemed to be University Dehradun India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India

ISBN: (数字)9798331543358

ISBN: (纸本)9798331543365

This study explores the effectiveness of spatial diversity techniques in log-normal shadowing channels, which are crucial for enhancing the reliability and efficiency of wireless communication systems. Extensive simulation and analysis are done to investigate different spatial diversity techniques i.e. maximal ratio combining (MRC), space-time block codes (STBC) and selection combining (SC) in combination with different signal-to-noise ratio (SNR) and shadowing variance conditions. We evaluate the effectiveness of the techniques through performance metrics including Bit Error Rate (BER), spectral efficiency, and signal-to-noise ratio. The results show that MRC and STBC perform better in most scenarios, which highlight the necessity of antenna diversity for system reliability and spectral efficiency. These findings while signaling the possible future enhancements of the wireless communication systems.working under shadowed propagation environments are of paramount value in optimizing the system designs.

关键词： Fading channels Spectral efficiency Spatial diversity System performance Diversity reception Bit error rate Reliability Optimization Shadow mapping Signal to noise ratio

来源：评论

学校读者我要写书评

暂无评论

Early Detection and Classification of Alzheimer's through Integration of 3D Local Binary Patterns and SVM classifier 3

Early Detection and Classification of Alzheimer's through In...

引用

3rd international conference on Intelligent systems. Advanced computing, and Communication, ISACC 2025

作者： Singh, Komal Khare, Ashish Bommisetty, Reddy Mounika University of Allahabad Department of Electronics & Comm. Prayagraj India MNNIT Department of CSE Prayagraj India

ISBN: (纸本)9798331523893

The World Health Organization (WHO) statistics reveal that Alzheimer's disease (AD) is one of the dominant neuro-degenerative diseases causing 33% disability adjusted life years (DALYs) and it is anticipated to a rise of 106 million cases globally over the next four decades. AD is characterized by the acute confusional state and memory loss that progresses gradually and leads to irreversible significant decline in socio cognitive behaviour. Hence, early detection and diagnosis of AD is crucial. Heterogeneous attempts have been made to detect AD through different imaging biomarkers to identify the brain atrophy. Among, several neuroimaging biomarkers structural MRI has been employed most frequently to distinguish populace with AD from healthy counterparts. Contemporary literature provides an extensive work on automated AD detection employing several machine and deep learning models. Despite the superior capabilities of machine or deep learning models, incorporation of non-discriminative features lead to inaccurate results. Incorporating discriminative features with machine or deep learning models enhances the diagnostic accuracy of AD classification. Although the MRI images are 3 dimensional, most of the existing literature focussed upon extraction of features from 2D slice of the MRI which eventually ignore the spatial relationship between the adjacent slices Examining features on three dimensional MRI contribute to a significant improvement in diagnostic accuracy. Hence, the present article explores the effectiveness of incorporation of LBP texture feature on 3D structural MRI for early AD detection and diagnosis through the SVM classifier. To evaluate the effectiveness of the proposed model we performed exhaustive experimental analysis on the proposed model and state-of-the-art models on ADNI1 dataset and evaluated performance in terms of precision, recall, accuracy, and confusion matrix. The experimental findings clearly show that the proposed model offers 99.01%

关键词： Neurodegenerative diseases

来源：评论

学校读者我要写书评

暂无评论

Dynamic Partitioning of 3D Scenes into User-Bounding Boxes for Immersive Metaverse Experience

Dynamic Partitioning of 3D Scenes into User-Bounding Boxes f...

引用

Disruptive Technologies (ICDT), international conference on

作者： Deep Kumar Sneha Chauhan Lalit Kumar Awasthi Department of CSE National Institute of Technology Uttarakhand India Department of CSIT KIET Group of Institutions Ghaziabad NCR India

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

The partitioning of 3-dimensional environments into user-specific bounding boxes, accompanied by immersive audio and visual experiences, presents a significant challenge in virtual and augmented reality systems. This study examines methods for the adaptive segmentation and management of virtual environments to improve user interaction and immersion. The system utilizes spatial partitioning algorithms such as octrees, Voronoi diagrams, and bounding volume hierarchies to dynamically allocate regions of 3D space according to the needs of individual users. Immersive audio experiences utilize directional sound rendering via Head-Related Transfer Functions and dynamic audio zones, whereas adaptive visual rendering incorporates techniques like level of detail, frustum culling, and real-time lighting adjustments. The proposed framework integrates AI-driven personalization, procedural content generation, and gesture-based interaction to establish context-aware and responsive environments. Synchronization among networked devices enables smooth transitions in multi-user environments, supported by edge computing and consensus algorithms. This research addresses the technical complexities of real-time dynamic partitioning and immersive multimodal experiences to enhance user engagement and redefine interaction paradigms in virtual spaces. The proposed solutions exhibit scalability and adaptability for use in gaming, training simulations, and collaborative metaverse environments.

关键词： Training Visualization Three-dimensional displays Metaverse Scalability Transfer functions Rendering (computer graphics) Real-time systems Synchronization Immersive audio

来源：评论

学校读者我要写书评

暂无评论

Optimizing Production and Inventory Management for Defective Items in Manufacturing systems

Optimizing Production and Inventory Management for Defective...

引用

international Symposium on Advanced computing and Communication (ISACC)

作者： Khandakar Rabbi Ahmed Arafat Hossain MD Amaddus Bepary Asif Mahathir Mohammad Mustafizur Rahaman MD Arafat Dewan Miyan Research Institute International University of Business Agriculture and Technology Dhaka Bangladesh Dept. of Business Data Analytics Central Michigan University Mt Pleasant USA Dept. of Business Administration and Management Southern California State University Los Angeles CA Dept. of Business Administration and Management Southern California State University USA Dept. of Cloud Engineering Westcliff University Irvine CA Dept. of Computer Science Los Angeles City College Los Angeles USA

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

Manufacturing defective items is one of the challenges for production efficiency and inventory control. Conventional approaches like Economic Order Quantity (EOQ) and Just-in-Time (JIT) often fall short of the flexibility needed to respond to quality variations in real time. It promotes defect detection and control by employing machine learning (ML) for inventory management. Four classifiers were tested using the UCI SECOM dataset (Bagging, AdaBoost, Gradient Boosting, and Random Forest) to identify defective items. We used effective preprocessing techniques to boost model performance, such as SMOTE for class balancing and PCA for reducing dimensionality and standardization. The bagging and random forest classifiers produced 96.6% and 96.9% test accuracies, with good precision and recall scores. Within this context, we propose an Adaptive Inventory Management Framework comprising machine learning algorithms incorporating predictive analytics to reduce waste, optimize production scheduling(s), and improve resource allocation. These results are consistent with defining Industry 4.0 strategies and show that ML has the potential to transform defect management and inventory optimization in manufacturing systems.

关键词： Production Quality control Inventory management Real-time systems Fourth Industrial Revolution Random forests Optimization Bagging Manufacturing systems Defect detection

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438页 << < 7 8 9 10 11 12 13 14 15 16 > >>

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：