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

89,082 篇 会议
1,040 册 图书
855 篇 期刊文献
2 篇 学位论文
1 篇 专利
1 篇 科技报告

馆藏范围

90,977 篇 电子文献
5 种 纸本馆藏

日期分布

学科分类号

29,916 篇 工学
- 19,849 篇 计算机科学与技术...
- 13,614 篇 软件工程
- 5,830 篇 控制科学与工程
- 5,456 篇 电气工程
- 4,740 篇 信息与通信工程
- 3,126 篇 机械工程
- 2,607 篇 电子科学与技术（可...
- 2,433 篇 仪器科学与技术
- 1,365 篇 生物工程
- 1,321 篇 生物医学工程（可授...
- 1,094 篇 动力工程及工程热...
- 1,062 篇 光学工程
- 873 篇 化学工程与技术
- 833 篇 交通运输工程
- 799 篇 材料科学与工程（可...
- 773 篇 安全科学与工程
- 748 篇 建筑学
- 724 篇 土木工程
10,928 篇 理学
- 6,043 篇 数学
- 2,862 篇 物理学
- 2,117 篇 统计学（可授理学、...
- 2,113 篇 系统科学
- 1,551 篇 生物学
- 937 篇 化学
6,424 篇 管理学
- 4,752 篇 管理科学与工程(可...
- 2,112 篇 图书情报与档案管...
- 1,866 篇 工商管理
1,323 篇 医学
- 1,069 篇 临床医学
- 797 篇 基础医学(可授医学...
752 篇 法学
- 677 篇 社会学
561 篇 经济学
480 篇 教育学
329 篇 农学
242 篇 文学
132 篇 军事学
90 篇 艺术学
1 篇 哲学
1 篇 历史学

主题

19,093 篇 computational mo...
6,958 篇 measurement
6,104 篇 computer archite...
4,804 篇 computer science
4,672 篇 accuracy
3,991 篇 predictive model...
3,767 篇 analytical model...
3,632 篇 real-time system...
3,607 篇 mathematical mod...
3,585 篇 data models
3,454 篇 training
3,310 篇 biological syste...
2,843 篇 solid modeling
2,812 篇 feature extracti...
2,636 篇 computer simulat...
2,541 篇 application soft...
2,447 篇 control systems
2,260 篇 object oriented ...
2,141 篇 monitoring
2,020 篇 testing

机构

70 篇 school of comput...
65 篇 chitkara univers...
63 篇 school of comput...
58 篇 department of el...
54 篇 computer science...
50 篇 department of co...
48 篇 college of compu...
46 篇 school of comput...
45 篇 department of el...
44 篇 school of comput...
42 篇 college of compu...
38 篇 department of co...
38 篇 school of electr...
37 篇 school of electr...
37 篇 department of el...
36 篇 department of el...
35 篇 tsinghua univers...
34 篇 school of comput...
34 篇 department of el...
33 篇 faculty of compu...

作者

37 篇 lei wang
33 篇 anon
28 篇 jian wang
26 篇 jun wang
26 篇 bernady o. apduh...
23 篇 rui wang
23 篇 hui wang
23 篇 andrzej napieral...
22 篇 shiva mehta
22 篇 kang li
19 篇 rakesh kumar
19 篇 tao yang
18 篇 li li
17 篇 bin wang
17 篇 marina l. gavril...
16 篇 chunyan miao
16 篇 yong meng teo
16 篇 xi chen
16 篇 wang lei
16 篇 qing wang

语言

89,959 篇 英文
595 篇 其他
440 篇 中文
27 篇 俄文
4 篇 西班牙文
3 篇 德文
2 篇 法文
2 篇 葡萄牙文
2 篇 土耳其文
1 篇 乌克兰文

检索条件"任意字段=International Conference on Measurement and Modeling of Computer Systems"

共 90981 条记录，以下是381-390 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：

Predictive modeling of Battery Second-Life Performance Using Support Vector Regression and Voltage Features 2

Predictive Modeling of Battery Second-Life Performance Using...

引用

2nd international conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Hossian, Md. Ismail Hannan, Nasif Das, Hridoy Rahman Akash, Md. Ashiqur Ashraf, Md Sazid Shufian, Abu American International University Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Dhaka Bangladesh Texas Tech University Dept. of Electrical and Computer Engineering LubbockTX United States Lamar University Dept. of Electrical and Computer Engineering BeaumontTX United States

ISBN: (纸本)9798331506995

Extensively used in electric vehicles (EVs), lithium-ion (Li-ion) batteries, undergo significant degradation after several charge-discharge cycles, leading to their retirement from high-demand applications. However, these batteries can still serve fewer demanding applications in their second life. Estimating the State of Health (SoH) in second-life applications is crucial for ensuring their reliable performance. This paper presents a method for SoH estimation using a Support Vector Regression (SVR) model trained in first-life battery data and applied to second-life usage. Two health indicators, TIECVD (Time Interval of Equal Charging Voltage Difference) and TIEDVD (Time Interval of Equal Discharging Voltage Difference) are extracted from voltage measurements and used as predictors in the SVR model. The method is validated using NASA's battery ageing dataset, consisting of three batteries (B0005, B0006, and B0007) with a rated capacity of 2 Ah. The proposed model achieves RMSE values of 0.0061, 0.0158, and 0.0047 for the respective batteries during second life SoH estimation. This approach provides a practical, low-cost solution for estimating battery health in second-life applications without extensive monitoring systems. © 2025 IEEE.

关键词： Lithium-ion batteries

来源：评论

学校读者我要写书评

暂无评论

Reference geometries and indicators for the proce b window development of wire Directed Energy Deposition 1

Reference geometries and indicators for the proce b window d...

引用

1st international conference on Digital Sovereignty, ICDS 2024

作者： Tzimanis, Konstantinos Porevopoulos, Nikolas Bourlesas, Nikolas Stavropoulos, Panagiotis Laboratory for Manufacturing Systems and Automation Department of Mechanical Engineering and Aeronautics University of Patras Rio Patra26504 Greece

The industrial interest for Directed Energy Deposition (DED) proce bes increases;however, intensive experimental work is needed for the determination of proce b inputs each time a new material and machine are investigated, leading to waste of time and resources. Therefore, this work presents a structured way of determining the values of key proce b parameters based on reference geometries such as single tracks, thin walls, overlapping tracks and complex geometries as well as metrological responses from where acceptance thresholds are developed. In the present study, the methodology is implemented in a wire laser-based DED proce b;the working material is stainle b steel AISI316L while monitoring devices that capture the melt pool features, the over-built and finally the proce b performance are retrofitted to accelerate the transformation of proce b data to meaningful information and proce b knowledge. © 2025 The Author(s).

关键词： Velocity measurement

来源：评论

学校读者我要写书评

暂无评论

Performance Optimization and Practical Exploration of Transformer Architecture in Speech Synthesis

Performance Optimization and Practical Exploration of Transf...

引用

Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Gengmei Yao Xiaoying Ye Computer Science Department Guangdong Neusoft Institute Foshan Guangdong China

ISBN: (数字)9798331533113

ISBN: (纸本)9798331533120

The Transformer architecture has been widely used in the field of speech synthesis due to its powerful modeling capabilities and flexibility. However, the existing Transformer architecture still encounters many performance limitations in practical operation, such as insufficient naturalness of sound quality, slow inference speed, poor cross language adaptability, and high computational resource consumption. In response to these issues, this article proposes a series of targeted performance optimization strategies, including improving the model architecture to enhance the naturalness of sound quality, accelerating the inference process to meet real-time requirements, enhancing the model's adaptability to multiple languages and cross domains, and adopting efficient algorithms and hardware optimization to reduce computational resource consumption. Through experimental verification, these optimization strategies effectively promote the performance improvement of speech synthesis systems, greatly enhancing their feasibility and efficiency in practical applications.

关键词： Adaptation models Computational modeling Process control computer architecture Transformer cores Transformers Real-time systems Multilingual Speech synthesis Optimization

来源：评论

学校读者我要写书评

暂无评论

Adaptive Chunking for VideoRAG Pipelines with a Newly Gathered Bilingual Educational Dataset

Adaptive Chunking for VideoRAG Pipelines with a Newly Gather...

引用

international CSI computer conference, CSICC

作者： Arshia Hemmat Kianoosh Vadaei Melika Shirian Mohammad Hassan Heydari Afsaneh Fatemi dept. Computer Engineering University of Isfahan Isfahan Iran

ISBN: (数字)9798331523114

ISBN: (纸本)9798331523121

This paper introduces an innovative approach to Retrieval-Augmented Generation (RAG) for video question answering (VideoQA) through the development of an adaptive chunking methodology and the creation of a bilingual educational dataset. Our proposed adaptive chunking technique, powered by CLIP embeddings and SSIM scores, identifies meaningful transitions in video content by segmenting educational videos into semantically coherent chunks. This methodology optimizes the processing of slide-based lectures, ensuring efficient integration of visual and textual modalities for downstream RAG tasks. To support this work, we gathered a bilingual dataset comprising Persian and English mid- to long-duration academic videos, curated to reflect diverse topics, teaching styles, and multilingual content. Each video is enriched with synthetic question-answer pairs designed to challenge pure large language models (LLMs) and underscore the necessity of retrieval-augmented systems. The evaluation compares our CLIP-SSIM-based chunking approach against conventional video slicing methods, demonstrating significant improvements across RAGAS metrics, including Answer Relevance, Context Relevance, and Faithfulness. Fur-thermore, our findings reveal that the multimodal image-text retrieval scenario achieves the best overall performance, emphasizing the importance of integrating complementary modalities. This research establishes a robust framework for video RAG pipelines, expanding the capabilities of multimodal AI systems for educational content analysis and retrieval 1 1 The dataset is publicly available at: https://***/datasets/uIAICIEduViQA.

关键词： measurement Visualization Large language models Pipelines Retrieval augmented generation Education Question answering (information retrieval) Multilingual Standards Context modeling

来源：评论

学校读者我要写书评

暂无评论

InterACT: Enhancing Human-AI Interaction

InterACT: Enhancing Human-AI Interaction

引用

Machine Learning and Autonomous systems (ICMLAS), international conference on

作者： Jithendra Katta Nikhil Reddy Kodumuru Swathi Katta School of Engineering and Applied Sciences The George Washington University Washington D.C USA Computer Science & Engineering dept. Vignana Bharathi Institute of Technology Hyderabad India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

The rapid advancement of large language models and computer vision systems has opened new frontiers in artificial intelligence. This paper introduces InterACT, a novel cross-modal system that integrates leading language and vision models to enable more intuitive and context-aware human AI interactions. By leveraging the strengths of both modalities, InterACT processes natural language queries to guide object detection in visual environments, bridging the gap between linguistic and visual understanding. We evaluate the performance of three language models of varying sizes in conjunction with an advanced object detection model, exploring the balance between computational efficiency and interaction quality. Our experiments demonstrate InterACT's potential across diverse real-world scenarios, revealing promising results in maintaining contextual relevance and adaptability. This research contributes to the growing field of cross-modal AI systems and lays the groundwork for more sophisticated human AI interactions, with implications for applications ranging from assistive technologies to educational tools.

关键词： Visualization computer vision Adaptation models Computational modeling Large language models Object detection Machine learning Computational efficiency Artificial intelligence Context modeling

来源：评论

学校读者我要写书评

暂无评论

Wearable IMUs: Advancing Human Motion Analysis with Deep Learning 3rd

Wearable IMUs: Advancing Human Motion Analysis with Deep Le...

引用

3rd international conference on Computing and Communication Networks, ICCCN 2023

作者： Das, Satyesh Das, Divyesh Parashar, Ashana Computer Science and Engineering Rajiv Gandhi Institute of Petroleum Technology Jais India Electronics and Computer Engineering Thapar Institute of Engineering and Technology Patiala India Mobile Automation Vodafone Intelligent Solutions Nashik India

ISBN: (纸本)9789819726707

In recent times, there has been a notable surge in the exploration of studying human body movements through the utilization of inertial measurement units that can be worn. This trend stems from its substantial impact on academic and industrial circles, encompassing applications ranging from portable healthcare solutions to sports and interfacing with computers through human interaction. Developing human activity recognition (HAR) systems that achieve remarkable accuracy in identification while relying on just one sensor remains an ongoing technological hurdle. In this paper, we explore both supervised and partially supervised approaches using convolutional neural networks and denoising autoencoders approaches. The goal of our study revolves around increasing the classification precision pertaining to previous related works and decreasing reliance on human-engineered features. Since the raw IMU data is composed of time series, it is split using a running window approach and segments of roughly one second of data are fed to the neural networks. The above approaches are tested with two different variations of the original dataset, obtained with data augmentation approaches, to balance uneven class distribution. The dataset contains measurements of one single IMU sensor positioned in the belt of different users performing seven actions: running, jumping, walking, falling, sitting, standing, and lying. The score of best 8-layer CNN-based system was 0.972. The worst represented class, falling, with just 2 min of recorded data, has an F1-score of 0.919. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Network Intrusion Detection by Integrating BI-LSTM for Enhanced Security

Network Intrusion Detection by Integrating BI-LSTM for Enhan...

引用

international Symposium on Advanced Computing and Communication (ISACC)

作者： Lakshmi Priya P. Kandibanda Lohith Joel M. Johnson Jyotsna C. Aiswariya Milan K. Dept. of Computer Science and Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

The rising interconnectivity of digital systems has brought about the challenges of network security as high risks of data theft and unauthorized access through intrusions in networks. This paper details the development of a Network Intrusion Detection System that uses deep learning techniques and is designed to detect normal as well as anomalous activities within the network, such as zero-Day vulnerabilities, as discussed has proven that this model was capable of obtaining excellent accuracy, up to 99.25%, with precision and recall metric being well achieved, owed to advanced techniques, in this case, hyperparameter tuning. This will mean the model's capability to clearly differentiate legitimate and malicious traffic. In addition, explainable AI techniques such as SHAP and LIME deliver insights into the contributions or importance of various features about a model's decision-making.

关键词： measurement Deep learning Explainable AI Digital systems Computational modeling Neural networks Network intrusion detection Network security Intelligent systems Tuning

来源：评论

学校读者我要写书评

暂无评论

Forward Calculation of Complex Resistivity for Different Induced Polarization Models 2

Forward Calculation of Complex Resistivity for Different Ind...

引用

2nd international conference on the Frontiers of Intelligent Control, measurement, and Signal systems, FICMSS 2025

作者： Tang, Xian Tong, Xiaolong Xu, FengJiao Hunan International Economics University Changsha China Key Laboratory of Technologies for Oil and Gas Resource of MOE Yangtze University Wuhan430100 China Geophysicsl Exploration Brigade Of Hubei Geological Bureau Wuhan China

As one of the important electrical parameters in the study of the earth's medium, the complex resistivity of rock can help determine the temperature distribution, oil and gas reservoirs, mineral distribution, and underground water sources in the deeper parts of the earth. Therefore, specific reservoir parameters of rocks can also be indirectly obtained through simulation calculations and experimental analysis. This study combined classic induced polarization models such as Cole Cole model, Dias model, and Debye model to forward calculate the complex resistivity values of rocks. The complex resistivity values of different rock types calculated by the models were compared through rock physics experiments. Through a comparison with the experimental data and an analysis of the simulated induced polarization effect, the validity of the forward modeling results for various models was validated. Additionally, the relationship between the theoretical and experimental complex resistivity data of different rock types was examined. The research results have positive theoretical significance for helping with rock physics modeling, guiding the exploration and development of unconventional oil and gas resources in China, improving the accuracy of theoretical model inversion calculations and data interpretation, especially serving future oil and gas exploration and development work. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Exploratory oil well drilling

来源：评论

学校读者我要写书评

暂无评论

The Use of Digital Twins in the Energy Sector: Selection and Verification of Tools for modeling Hybrid Energy Supply systems Based on Renewable Energy Sources

The Use of Digital Twins in the Energy Sector: Selection and...

引用

international Russian Smart Industry conference (SmartIndustryCon)

作者： M. G. Tyagunov V. N. Andreev National research university “MPEI” Institute of Hydropower and Renewable Energy Moscow Russia

ISBN: (数字)9798331511241

ISBN: (纸本)9798331511258

The aim of the work is to develop and test a set of measures to improve the efficiency of projects for the construction of hybrid energy complexes with power plants based on renewable energy sources by using digital twins. The paper shows the effectiveness of research and development of recommendations on the choice of parameters and modes of operation of hybrid power complexes having a diverse composition of generating plants and high dependence on natural uncertain factors at all stages of the life cycle using the developed universal digital twin, which was verified by the example of real power complexes with different equipment composition.

关键词： Photovoltaic systems Industries Renewable energy sources Power measurement Energy measurement Wind power generation Hybrid power systems Digital twins Macroeconomics Research and development

来源：评论

学校读者我要写书评

暂无评论

Early Brain Tumour Detection in MRI Images Through Hybrid Deep Learning Model

Early Brain Tumour Detection in MRI Images Through Hybrid De...

引用

Industrial Electronics: Developments & Applications (ICIDeA), IEEE international conference on-

作者： Samrat Aditya Keshari Parida S.B Ashirbad Mangal Maharana Debasis Kumar Ghadai Sumane De Dept. of Computer Science & Engineering C.V Raman Global University Bhubaneswar Odisha

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

Brain tumours are among the emerging significant health challenges that require early detection for complete management. Though the mainstay of diagnosis remains MRI, it can be applied in its interpretation with some challenges. This study investigates the potential of leveraging Convolutional Neural Networks, a form of artificial intelligence, to classify different brain tumours from MRI images with enhanced metrics. CNNs are said to provide the best currently available solution in achieving minimal preprocessing followed by feature engineering especially with respect to image analysis. Accuracy and efficiency in brain tumour diagnosis can be drastically improved by leveraging the power of AI.

关键词： Deep learning measurement Accuracy Magnetic resonance imaging Feature extraction Brain modeling Hybrid power systems Convolutional neural networks Artificial intelligence Tumors

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 << < 35 36 37 38 39 40 41 42 43 44 > >>

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：