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

66 篇 会议
16 篇 期刊文献

馆藏范围

82 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

55 篇 工学
- 29 篇 计算机科学与技术...
- 24 篇 软件工程
- 14 篇 电子科学与技术（可...
- 12 篇 信息与通信工程
- 12 篇 控制科学与工程
- 9 篇 仪器科学与技术
- 8 篇 机械工程
- 5 篇 电气工程
- 5 篇 生物医学工程（可授...
- 5 篇 生物工程
- 4 篇 建筑学
- 4 篇 土木工程
- 3 篇 动力工程及工程热...
- 3 篇 航空宇航科学与技...
- 2 篇 光学工程
- 2 篇 材料科学与工程（可...
- 2 篇 化学工程与技术
- 2 篇 网络空间安全
27 篇 理学
- 13 篇 数学
- 12 篇 物理学
- 5 篇 生物学
- 4 篇 系统科学
- 3 篇 化学
- 2 篇 统计学（可授理学、...
12 篇 管理学
- 10 篇 管理科学与工程(可...
- 4 篇 工商管理
- 2 篇 公共管理
4 篇 医学
- 2 篇 临床医学
- 2 篇 公共卫生与预防医...
3 篇 法学
- 3 篇 社会学
2 篇 军事学
1 篇 教育学

主题

4 篇 computer science
4 篇 machine learning
3 篇 runtime
3 篇 application soft...
3 篇 computational mo...
3 篇 named entity rec...
3 篇 real-time system...
3 篇 control systems
3 篇 mathematical mod...
2 篇 knowledge engine...
2 篇 robot
2 篇 simulation
2 篇 noise measuremen...
2 篇 sensitivity
2 篇 computer archite...
2 篇 prototypes
2 篇 electroencephalo...
2 篇 neural networks
2 篇 brain modeling
2 篇 constraint optim...

机构

5 篇 department of co...
5 篇 department of co...
4 篇 tula's institute...
4 篇 department of co...
4 篇 healthworksai ba...
4 篇 department of el...
3 篇 school of comput...
3 篇 electrical and e...
3 篇 noida institute ...
2 篇 columbia univers...
2 篇 department of co...
2 篇 department of el...
2 篇 university of il...
2 篇 faculty of elect...
2 篇 university of ca...
2 篇 department of en...
2 篇 department of el...
2 篇 department of el...
2 篇 department of el...
2 篇 department of co...

作者

4 篇 song tianyou
4 篇 guo jiangjian
4 篇 li kun
4 篇 chen xinwei
3 篇 akimitsu doi
3 篇 jin he
3 篇 xing zhang
3 篇 mansun chan
3 篇 yoichi hinamoto
2 篇 ming-tsung wu
2 篇 tripathi amit ku...
2 篇 g. castellanos-d...
2 篇 chi liu
2 篇 bibhuti bhusan d...
2 篇 moazzam javed
2 篇 chia-ying tseng
2 篇 yiqun wei
2 篇 e. giraldo
2 篇 zou jin
2 篇 xinwei chen

语言

74 篇 英文
8 篇 其他

检索条件"机构=Department of Electronical Engineering and Computer Science"

共 82 条记录，以下是1-10 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：

Influence of AI and MAS in Enhancing Energy Efficiency of 6G Communications

Influence of AI and MAS in Enhancing Energy Efficiency of 6G...

引用

2024 International Conference on Communication, computer sciences and engineering, IC3SE 2024

作者： Negi, Divya Prakash, Febin Gupta, Anjali Tula's Institute Department Of Computer Science And Engineering Dehradun India Department Of Computer Science And Information Technology Bangalore India Noida Institute Of Engineering And Technology Department Of Electronical And Electronics Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350366846

Next-generation Internet of Things (IoT) is progressing rapidly due to the introduction of beyond 5G (B5G) and the approaching arrival of 6G, which have improved the dependability, productivity, and profitability of both industrial and personal operations. Nevertheless, data overload is frequently caused by the abundance of wireless sensors in commercial 6G devices. Data mining gathers useful information in order to solve this. Meanwhile, in the 6G architecture, edge computing enables automated equipment operations and intelligent decision-making in real-time. Even so, despite the drawbacks of sensor-based energy sources, the integration of many technologies has led to an increase in energy. Using a multi-agent system (MAS) approach, a system model for industrial wireless sensor networks in 6G applications has been presented in order to combat this. Sensor node clustering locates and forecasts the locations of principal nodes by employing distributed artificial intelligence (DAI). Convolutional neural networks (CNN) and back-propagation neural networks (BPNN) are used in optimisation. Allocating resources to individual nodes efficiently is made possible by the analysis of inter-cluster correlations. The outcomes of the simulation show how well the approach works to reduce resource waste, increase overall energy efficiency, and protect important data. This strategy improves network performance in industrial 6G applications while simultaneously addressing concerns about energy consumption. © 2024 IEEE.

关键词： Multi agent systems

来源：评论

学校读者我要写书评

暂无评论

A Terse Review of Heart Diseases Estimation Using Machine Learning Practices

A Terse Review of Heart Diseases Estimation Using Machine Le...

引用

2024 International Conference on Communication, computer sciences and engineering, IC3SE 2024

作者： Pawar, Rahul Dash, Amit Kumar Mittal, Gaurav Department Of Computer Science And Information Technology Bangalore India Noida Institute Of Engineering And Technology Department Of Electronical & Electronics Engineering Uttar Pradesh Greater Noida India Tula's Institute Department Of Computer Science And Engineering Dehradun India

ISBN: (纸本)9798350366846

Heart diseases, a primary cause of global fatalities, represent a growing social matter on a worldwide scale. The integration of machine learning with advancing technology has greatly benefited the medical field, resulting in the provision of seamless solutions characterized by high accuracy, consistency and toughness. These advancements help the patient society through early detection and reduced medical care costs. They also offer the medical fraternity capable, accessible, precise and consistent prediction systems. This paper provides a comprehensive enquiry of machine learning algorithms engaged for the prediction and classification of several cardiovascular diseases, we explore several modalities, including physiological signals, heart sounds and electronic health records, to achieve effective heart disease recognition. We also provide insights into popular machine learning systems, hybrid systems and fuzzy systems in this context. It is noted in this review that Support Vector Machines (SVM) have gained popularity and widespread usage, with neural networks and ensemble techniques following closely behind in terms of their application. All these approaches are compared based on accuracy metrics. © 2024 IEEE.

关键词： Hybrid systems

来源：评论

学校读者我要写书评

暂无评论

Navigation On Mobile Computing Devices with A Walking Using Object-Oriented Techniques to Communicate Stick 3

Navigation On Mobile Computing Devices with A Walking Using ...

引用

3rd International Conference on Communication, Control, and Intelligent Systems, CCIS 2024

作者： Ramesh Prabhakaran, R. Guhan, P. Raj, E George Dharma Prakash Karthika, K. Angel Maanu, P. Mizoram University Department of Computer Engineering Mizoram India Panimalar Engineering College Department of Electrical and Electronical Engineering Chennai India Bharathidasan University School of Computer Science and Engineering Trichy India Karpagam College of Engineering Department of Information Technology Coimbatore India Panimalar Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798331528201

Moving around in their surroundings is challenging for elderly people and people with visual impairments. The majority of functional sticks in use today are not intelligent and lack an innate ability to recognize obstacles. In an effort to address this issue, mobility and orientation specialists who assist the blind by teaching them to move freely and safely using their remaining senses are brought in. They can navigate around obstacles with the aid of guidance dogs as well. These techniques have drawbacks, such as the dogs' inability to comprehend complicated instructions, the high cost of maintaining these trained dogs, and the need to hire an expert. In light of the aforementioned difficulties, the "Smart walking stick"has become a potential answer. The "Mobile based walking stick"is a useful mobility aid with the capacity to call a relative who can help in the event of an accident, detect obstacles above ground level and pits using ultrasonic sensors, recognize when a collision has occurred, and call the user's mobile phone if it has been misplaced to share the location's GPS for use with GSM connectivity and to share with the user's mention contacts. With some visually disabled people as test subjects, a test case was run, and 95% of the time it was successful. © 2024 IEEE.

关键词： Ultrasonic sensors

来源：评论

学校读者我要写书评

暂无评论

Investigating Machine Learning (ML) in Augmented and Virtual Reality: A Comprehensive Analysis in Prawn Farming

Investigating Machine Learning (ML) in Augmented and Virtual...

引用

2024 International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI, ICSCAI 2024

作者： Painuly, Vaibhavi Kavitha, R. Ravela, Ratna Raju Department of Computer Science and Engineering Tula's Institute Dehradun India Bangalore India Department of Electronical & Electronics Engineering Noida Institute Of Engineering and Technology Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350355338

Commercial lakes ought to be kept up well in arrange to meet the expanding request for prawns universally and create at their best. This think about addresses the challenge by combining present day sensor innovation, expanded reality interfacing, and machine learning calculations. The plan employments state-of-the-art sensors to ceaselessly screen water quality, empowering proactive decision-making. Machine learning calculations analyze collected information to expect lake conditions, giving agriculturists with a see of potential future occasions. Increased reality representation encourages way better information collection and real-time decision-making through intuitively interfaces. This all-encompassing approach progresses efficiency, maintainability, and effectiveness within the prawn cultivating industry by revolutionizing current hones. © 2024 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

VLC positioning in low data rate for V2V communication 2024

VLC positioning in low data rate for V2V communication

引用

12th Euro-American Conference on Telematics and Information Systems, EATIS 2024

作者： Giraldo, Luis Miguel Soler, Joaquin Perez Botella-Mascarell, Carmen Juan, Vicent Girbes Varea, Sandra Roger Torres, Julio Martos Olcina, Raimundo Garcia Electronical Engineering Department Universitat de València Burjassot Valencia46100 Spain Computer Science Department Informatics Department Universitat de València Burjassot Valencia46100 Spain

ISBN: (纸本)9798400717338

The creation and implementation of a system that bridges visible light communication (VLC) with selected identifiers, envisioned as informational beacons, are outlined. This system is adept at controlling LED panels and orchestrating communication between LED lights and the receiving unit, laying the groundwork for vehicle-to-vehicle (V2V) communication systems tailored for precise positioning. The design and assessment of test-bed requirements cater to the anticipation of future V2V optical wireless communication scenarios. Through analysis, it is demonstrated that commercial outdoor lighting can be effectively utilized for V2V positioning, capable of operating under daylight with a data transmission rate of 100 Kbps. Crucially, the system's ability to accurately detect positioning beacons facilitates the localization of vehicles within designated areas of interest, paving the way for the advancement of V2V communication technologies. This comprehensive approach not only validates the feasibility of using VLC for vehicle positioning but also sets a precedent for future developments in V2V communication systems. © 2024 Owner/Author.

关键词： Optical communication

来源：评论

学校读者我要写书评

暂无评论

Few-Shot Name Entity Recognition on StackOverflow 9

Few-Shot Name Entity Recognition on StackOverflow

引用

9th International Conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Chen, Xinwei Li, Kun Song, Tianyou Guo, Jiangjian University of Illinois at Urbana Champaign Department of Electronical and Computer Engineering UrbanaIL United States University of Illinois at Urbana Champaign Department of Computer Science UrbanaIL United States Columbia University Department of Computer Science New York United States University of California San Diego Department of Computer Science and Engineering La Jolla United States

ISBN: (纸本)9798350376548

StackOverflow, with its vast question repository and limited labeled examples, raise an annotation challenge for us. We address this gap by proposing RoBERTa+MAML, a few-shot named entity recognition (NER) method leveraging meta-learning. Our approach, evaluated on the StackOverflow NER corpus (27 entity types), achieves a 5% F1 score improvement over the baseline. We improved the results further domain-specific phrase processing enhance results. © 2024 IEEE.

关键词： Zero-shot learning

来源：评论

学校读者我要写书评

暂无评论

An Extensive Review of Optimized Energy Saving Approaches for Green Cloud Computing (GCC)

An Extensive Review of Optimized Energy Saving Approaches fo...

引用

2023 International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2023

作者： Mehta, Deepak Tripathi, Amit Kumar Moazzam, Javed Department of Computer Science and Information Technology Bangalore India Noida Institute of Engineering and Technology Department of Electronical & Electronics Engineering Uttar Pradesh Greater Noida India Tula's Institute Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350344387

The proliferation because of cloud computing has resulted in inefficient power usage in the areas of data transmission, storing, and handling. This activity is environmentally detrimental due to the release of emissions of carbon. Hence, the implementation of green IT is necessary in order to preserve the surroundings. The environmentally conscious computing in the cloud (GCC) method is an element of green IT that tries to minimize the ecological impact of information centers by reducing the amount of energy they use. The GCC, or Global Climate Change, is a vast and captivating area for scientific investigation. Several studies have been conducted to enhance the utilization of computing resources in line with the GCC vision. The given paper concentrates on diverse facets, encompassing approaches for optimizing software, hardware, and network systems. Also, this paper summarizes and categorizes various GCC approaches. In order to make meaningful comparisons between GCC methods, it is helpful to first identify the central implementation strategies and the problems associated with each. © 2023 IEEE.

关键词： and automation Cloud computing energy conservation energy planning sustainable computing

来源：评论

学校读者我要写书评

暂无评论

Mix of Experts Language Model for Named Entity Recognition 6

Mix of Experts Language Model for Named Entity Recognition

引用

6th International Conference on Communications, Information System and computer engineering, CISCE 2024

ISBN: (纸本)9798350353174

Named Entity Recognition (NER) is an essential steppingstone in the field of natural language processing. Although promising performance has been achieved by various distantly supervised models, we argue that distant supervision inevitably introduces incomplete and noisy annotations, which may mislead the model training process. To address this issue, we propose a robust NER model named BOND-MoE based on Mixture of Experts (MoE). Instead of relying on a single model for NER prediction, multiple models are trained and ensembled under the Expectation-Maximization (EM) framework, so that noisy supervision can be dramatically alleviated. In addition, we introduce a fair assignment module to balance the document-model assignment process. Extensive experiments on real-world datasets show that the proposed method achieves state-of-the-art performance compared with other distantly supervised NER. © 2024 IEEE.

关键词： component Mix of expert Named Entity Recognition NLP

来源：评论

学校读者我要写书评

暂无评论

Applying DMLP and HMM in Speech Identification Platforms

Applying DMLP and HMM in Speech Identification Platforms

引用

2023 International Conference on Advances in Computation, Communication and Information Technology, ICAICCIT 2023

作者： Bargavi, Manju Singhal, Rishi Moazzam, Javed Department of Computer Science and Information Technology Bangalore India Noida Institute of Engineering and Technology Department of Electronical & Electronics Engineering Uttar Pradesh Greater Noida India Tula's Institute Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350344387

Attempting to deploy high-precision speech recognition algorithms on mobile and embedded devices without doing a thorough evaluation of their computational resource requirements is impractical. This study utilizes techniques to minimize the computational resources required for an optimized voice recognition system implemented on mobile devices. A cutting-edge voice recognition technique, known as Dynamic Multi-Layer Perceptron (DMLP), has been created. This method is capable of functioning in real-time on a contemporary mobile device. When evaluated on the same dataset, traditional hidden Markov models (HMM) performed somewhat better than our method, but this came at the cost of significantly longer processing time. The provided Dynamic Multi-layer Perceptron (DMLP) achieves a remarkable accuracy of 96.94% and outperforms other approaches in terms of speed. © 2023 IEEE.

关键词： and hidden Markov models Dynamic multilayer perceptron Fourier transforms linear predictive cepstral coefficients Mel-frequency cepstral coefficients

来源：评论

学校读者我要写书评

暂无评论

Multi-vector Monitoring, Detecting and Classifying GPU Side-Channel Attack Vectors on a Secure GPU Execution Framework 8

Multi-vector Monitoring, Detecting and Classifying GPU Side-...

引用

8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Lungu, Nelson Dash, Bibhuti Bhusan De, Utpal Chandra Dash, Bibek Bikram Singh, Satyendr Patra, Sudhansu Shekhar University of Zambia Electrical and Electronical Engineering Lusaka Zambia Kiit Deemed to be University School of Computer Applications Bhubaneswar India HealthWorksAI Bangalore India Bml Munjal University Computer Science & Engg Department Gurugram India

ISBN: (纸本)9798350376425

Graphics Processing Units (GPUs) are increasingly deployed in security-sensitive domains, but their parallel architectures introduce vulnerabilities enabling side-channel attacks to steal sensitive data. Recent works have shown feasible timing, contention, power, and access pattern side-channel attacks against cryptographic implementations, randomness protections, and other workloads on GPUs, highlighting risks of intellectual property theft, cryptographic key extraction, and spying. However, existing academic defences remain inadequate in systematically protecting real-world shader execution. This research aims to design, develop, and evaluate a secure GPU shader execution framework incorporating runtime monitoring, anomaly detection, and response mechanisms for commercial GPUs. The methodology involves implementing and assessing the framework against simulated side-channel attacks on shader benchmarks;this can help secure emerging GPU adoption in sectors like finance, healthcare, and government against rising data breaches. © 2024 IEEE.

关键词： Parallel architectures

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9页 << < 1 2 3 4 5 6 7 8 9 > >>

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：