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

64,565 篇 会议
577 册 图书
325 篇 期刊文献

馆藏范围

65,466 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

38,377 篇 工学
- 35,097 篇 计算机科学与技术...
- 23,067 篇 软件工程
- 8,726 篇 信息与通信工程
- 5,271 篇 电气工程
- 4,761 篇 生物工程
- 4,756 篇 控制科学与工程
- 3,813 篇 生物医学工程（可授...
- 1,632 篇 网络空间安全
- 1,578 篇 安全科学与工程
- 1,451 篇 光学工程
- 1,326 篇 机械工程
- 1,256 篇 动力工程及工程热...
- 1,242 篇 电子科学与技术（可...
- 1,192 篇 仪器科学与技术
- 1,187 篇 化学工程与技术
14,081 篇 理学
- 7,955 篇 数学
- 5,257 篇 生物学
- 3,617 篇 统计学（可授理学、...
- 3,113 篇 系统科学
- 2,333 篇 物理学
- 1,213 篇 化学
8,772 篇 管理学
- 5,070 篇 管理科学与工程(可...
- 4,398 篇 图书情报与档案管...
- 2,233 篇 工商管理
4,424 篇 医学
- 3,697 篇 临床医学
- 3,227 篇 基础医学(可授医学...
- 2,071 篇 药学(可授医学、理...
- 1,730 篇 公共卫生与预防医...
1,854 篇 法学
- 1,604 篇 社会学
1,181 篇 农学
- 1,154 篇 作物学
991 篇 经济学
733 篇 教育学
338 篇 文学
45 篇 艺术学
39 篇 军事学
5 篇 哲学
5 篇 历史学

主题

17,102 篇 machine learning
5,347 篇 machine learning...
4,566 篇 deep learning
4,067 篇 accuracy
3,975 篇 support vector m...
3,447 篇 computational mo...
3,313 篇 training
3,214 篇 predictive model...
2,935 篇 feature extracti...
2,038 篇 data models
1,946 篇 cloud computing
1,760 篇 real-time system...
1,714 篇 neural networks
1,603 篇 adversarial mach...
1,555 篇 prediction algor...
1,326 篇 artificial intel...
1,303 篇 data mining
1,282 篇 decision trees
1,209 篇 random forests
1,156 篇 internet of thin...

机构

201 篇 chitkara univers...
127 篇 school of comput...
80 篇 karnataka bangal...
77 篇 school of comput...
65 篇 department of co...
55 篇 lovely professio...
48 篇 chennai
47 篇 centre of interd...
44 篇 univ chinese aca...
42 篇 school of comput...
40 篇 graphic era deem...
35 篇 shenyang institu...
34 篇 graphic era deem...
31 篇 department of co...
30 篇 department of in...
29 篇 department of co...
29 篇 shanghai jiao to...
28 篇 computer science...
27 篇 department of co...
27 篇 delhi technologi...

作者

36 篇 anjali t.
26 篇 isman kurniawan
25 篇 de-shuang huang
24 篇 rakesh kumar
23 篇 kumar anil
22 篇 hui wang
21 篇 amandeep nagpal
21 篇 kumar ajay
21 篇 gill kanwarparta...
20 篇 qin zengchang
20 篇 sharif mhd saeed
19 篇 yu wang
19 篇 ajay kumar
18 篇 qomariyah nunung...
18 篇 pareek piyush ku...
16 篇 schuurmans dale
16 篇 andersson karl
16 篇 kumar manish
15 篇 shiva mehta
15 篇 lakshmanarao a.

语言

55,276 篇 英文
10,017 篇 其他
635 篇 中文
3 篇 法文
2 篇 葡萄牙文
2 篇 俄文
1 篇 西班牙文
1 篇 土耳其文

检索条件"任意字段=International Conference on Machine Learning and Computing"

共 65467 条记录，以下是4741-4750 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：

Fault Prediction in Software Systems Using Saliency Maps in machine learning 12th

Fault Prediction in Software Systems Using Saliency Maps in ...

引用

12th international conference on Soft computing for Problem Solving, SocProS 2023

作者： Dangi, Sumedha Kumar, Deepak Khurana, Vipin Amity Institute of Information Technology Amity University Noida India ICFAI Business School Gurugram India

ISBN: (纸本)9789819731794

machine learning exhibits an immense affluent pace in numerous compound works, and analysis represents that it may malfunction in extremely unanticipated circumstances. Increasing machine learning tools in protective overcritical production sources and escalating in estimating powerful prototypes and then evaluating non-failure possibility within the machine learning approach. This work is a depiction to train an epitome model to forecast a failure rate and to outlook the prime representation of flaws for putting in examples on the basis of their saliency map. Here, the PilotNet model is executed and assesses the early results of the failure predictor layout outwards on the emancipated automobile steering hand-held servo system as an instance of protective-complex applications. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep neural networks

来源：评论

学校读者我要写书评

暂无评论

CogniVision: Deep learning Approaches for Image Recognition and Classification 2

CogniVision: Deep Learning Approaches for Image Recognition ...

引用

2nd international conference on Automation, computing and Renewable Systems, ICACRS 2023

作者： Rajendran, Adithya Abhishek, S. Krishnan, Adarsh Ramesh, Nived Krishnan Anjali, T. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Amritapuri India

ISBN: (纸本)9798350340235

Image classification and interpretation pose significant challenges in the field of artificial intelligence (AI), with the rapid growth of technology and the availability of vast image datasets offering numerous opportunities for advancement. Transfer learning, a subset of machine learning, is widely applied in addressing these challenges. While existing machine learning models have shown impressive performance in image interpretation and scene classification, there are still hurdles to overcome. In many cases, relying solely on the weights of data-dependent models is insufficient. used model for image classification demonstrates rapid convergence. This study employs two distinct deep learning models for prediction: Inception V3, which achieves a Training Accuracy of 86% and Validation Accuracy of 88%, and ResNet50, trained for 19 epochs, reaching a maximum accuracy of 94.26%. This research addresses the strengths and weakness of current models and uses the potential of transfer learning to further advance the field of image classification and interpretation. © 2023 IEEE.

关键词： Image Classification Inception V3 ResNet50 Transfer learning

来源：评论

学校读者我要写书评

暂无评论

A Vision-based Virtual Sensor to Enhance Privacy and Energy Efficiency on Edge computing

A Vision-based Virtual Sensor to Enhance Privacy and Energy ...

引用

IEEE international conference on Pervasive computing and Communications (PerCom)

作者： Kania, Nicholas Bogliolo, Alessandro Calisti, Lorenzo Contoli, Chiara Di Fabrizio, Giacomo Romanelli, Luca Lattanzi, Emanuele Univ Urbino Dept Pure & Appl Sci Urbino Italy

ISBN: (纸本)9798350304367;9798350304374

Integrating vision-based technologies into distributed sensor domains offers unprecedented potential for data collection. However, it raises privacy concerns over the incredible amount of extra information inadvertently carried by the video stream. On the other hand, the advent of tiny machine learning models running on edge devices with embedded GPUs/TPUs is revolutionizing computer vision and real-time tracking systems, enabling the local execution of computationally demanding tasks traditionally performed in the cloud. This study focuses on developing and characterizing vision-based virtual sensors capable of processing data from a local camera source to provide real-time measures of relevant metrics without storing or transmitting any video stream. The main advantages of vision-based virtual sensors running on the edge are data protection, reduced communication cost, and reduced detection latency. In addition, we propose a dynamic inference power manager (DIPM), based on adaptive frame rate, that allows us to explore the trade-off between power consumption and accuracy. Experimental results conducted on a real hardware platform show that the proposed virtual sensor, equipped with DIPM, can save up to 40% of the processing energy with a reduction of tracking accuracy lower than 10%, while retaining the privacy preservation benefits of virtual sensors.

关键词： edge computing virtual sensor energy efficiency privacy preservation

来源：评论

学校读者我要写书评

暂无评论

A vision on a methodology for the application of an Intrusion Detection System for satellites 24

A vision on a methodology for the application of an Intrusio...

引用

39th ACM/IEEE international conference on Automated Software Engineering (ASE)

作者： Gios, Sebastien Van Ouytsel, Charles-Henry Bertrand Caribe, Mark Diamantino Legay, Axel UCLouvain Louvain La Neuve Belgium Telespazio ESA Transinne Belgium

ISBN: (数字)9798400712487

ISBN: (纸本)9798400712487

The security of satellites has become critical in recent years due to their important role in modern society. However, numerous challenges, including limited computing resources, evolving cyber threats, and the isolated nature of satellites, hinder the development of effective security solutions. Different solutions should be implemented and combined to protect space assets: encryption, access control, zero-trust architecture, etc. This vision presents the challenges and aspects to consider for implementing an Intrusion Detection System (IDS) tailored to improve the security of satellite systems. Our approach uses a multi-level structure to define rule-based and machine-learning security approaches that address the challenges associated with different mission types. By strategically placing IDS components and considering the trade-offs of each location, we improve detection reliability. Additionally, we present an ontology-based method for visualizing the IDS configuration, which provides clear insight into system capabilities, enhances situational awareness, and facilitates identification and response to potential threats. We also provide strategies for updating the IDS while maintaining efficiency and security. This vision helps improve the cybersecurity measures of satellite operations and increase their resilience to cyberattacks.

关键词： Cybersecurity Satellite Methodology Intrusion detection Signature-based security Anomaly-based security machine learning

来源：评论

学校读者我要写书评

暂无评论

A Survey of Applications for Anomaly Detection in the IoT: Methods, New Perspectives, and Future

A Survey of Applications for Anomaly Detection in the IoT: M...

引用

2024 IEEE international conference on Systems, Man, and Cybernetics, SMC 2024

作者： Wang, Yingxiang Guo, Rongzuo Min, Peng College of Computer Science Sichuan Normal University Sichuan Chengdu610101 China

ISBN: (纸本)9781665410205

In recent years, with the rapid increase the popularity of cellular Internet of Things (IoT) devices and the sharp increase in the number of end users, ensuring the stability and reliability of IoT systems has become an important challenge. In this context, anomaly detection techniques provide solutions for IoT applications. This paper reviews anomaly detection research applied in the field of the IoT in recent years (mainly from 2018 to 2023) from a technical perspective. First, the causes and basic types of IoT anomalies are introduced to provide a better understanding of the importance of anomaly detection. Second, we focus on research progress in machine learning and edge computing, and propose a general workflow for anomaly detection in the IoT based on edge computing, which we call ECADW. Furthermore, the challenges of anomaly detection in the IoT are proposed, and future research per-spectives are prospected. It is hoped that this review can help researchers to better understand the research direction of this topic and choose interesting anomaly detection techniques. © 2024 IEEE.

关键词： anomaly detection deep learning edge computing internet of things survey

来源：评论

学校读者我要写书评

暂无评论

machine learning based Algorithmic approach for Detection and Classification of Leukemia 2

Machine Learning based Algorithmic approach for Detection an...

引用

2nd international conference on Smart Technologies and Systems for Next Generation computing, ICSTSN 2023

作者： Karthikeyan, S. Moses, M.Leeban Ramya, P. Thrisha, E. Kalarani, K. Susheel, R.N. Bannari Amman Institute of Technology Ece Department Sathyamangalam India Velammal Institute of Technology Ece Department Chennai India Machine Learning Engineer Coimbatore India

ISBN: (纸本)9798350348002

In general, leukemia is diagnosed by taking repeated complete blood counts, since this will enormously increase the blood cell count of the patient compared to normal people. The malignant cells resemble the normal blood cell which complicates the prediction process. So, this aliment must be detected and treated in early stages to avoid any complications. The methods already existing in laboratories are time consuming. This study presents a machine learning approach for detecting leukemia in patients. A dataset consisting of blood smear images was collected and preprocessed to extract relevant features. The features were then used to train and test various machine learning classification algorithms such as Logistic Regression, Decision Tree, Random Forest, Support Vector machine and KNN. Then by evaluating the performance of the above-mentioned classifiers using different performance metrics like accuracy, precision, etc., the efficient one can be identified. © 2023 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Image Processing Techniques for Detecting Steel Defects with MATLAB and machine learning 1

Image Processing Techniques for Detecting Steel Defects with...

引用

1st international conference on Advanced computing and Emerging Technologies, ACET 2024

作者： Dankan Gowda, V. Mary, P. Arockia Ramanan, S.V. Kumar, N.M.G. Kumar, Pullela Svvsr Abdullah, Ibrahim Bms Institute of Technology and Management Department of Electronics and Communication Engineering Karnataka Bangalore India V.S.B. Engineering College Department of Information Technology Tamilnadu Karur India Ppg Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Mohan Babu University Sree Vidyanikethan Engineering College Department of Electrical and Electronics Engineering Andhra Pradesh Tirupathi India Aditya College of Engineering and Technology Department of Computer Science & Engineering Andhra Pradesh Surampalem India Al-Turath University College Department of Computer Science Baghdad Iraq

ISBN: (纸本)9798350367720

This paper focuses on the detection of surface defects in the steel manufacturing industry since these defects inhibit the quality of the manufactured products and the efficiency of the manufacturing processes. Conventional inspection techniques require a extensive amount of work to be done at the inspection sites and perhaps associated with several kinds of errors. The current research work describes an automated system for determining the defects in the steel using image processing and integrating it with computational intelligence in MATLAB. The proposed method consists of pre-processing where the images are enhanced, feature extraction where characteristics of the defects are obtained and classification utilizing the machine learning models. The efficiency of the proposed approach is proved using experiments on the dataset of steel images and a substantial increase in the precision of the defects' recognition compared to other techniques. Thus, the' findings of the apply demonstrate that the use of image processing and machine learning can offer a strong system for real time defect identification in steel production. © 2024 IEEE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement learning 41

Revisiting Scalable Hessian Diagonal Approximations for Appl...

引用

41st international conference on machine learning, ICML 2024

作者： Elsayed, Mohamed Farrahi, Homayoon Dangel, Felix Rupam Mahmood, A. Department of Computing Science University of Alberta Edmonton Canada Alberta Machine Intelligence Institute Canada Vector Institute Toronto Canada CIFAR AI Canada

Second-order information is valuable for many applications but challenging to compute. Several works focus on computing or approximating Hessian diagonals, but even this simplification introduces significant additional costs compared to computing a gradient. In the absence of efficient exact computation schemes for Hessian diagonals, we revisit an early approximation scheme proposed by Becker and LeCun (1989, BL89), which has a cost similar to gradients and appears to have been overlooked by the community. We introduce HesScale, an improvement over BL89, which adds negligible extra computation. On small networks, we find that this improvement is of higher quality than all alternatives, even those with theoretical guarantees, such as unbiasedness, while being much cheaper to compute. We use this insight in reinforcement learning problems where small networks are used and demonstrate HesScale in second-order optimization and scaling the step-size parameter. In our experiments, HesScale optimizes faster than existing methods and improves stability through step-size scaling. These findings are promising for scaling second-order methods in larger models in the future. Copyright 2024 by the author(s)

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Review of Deep learning approaches for Conversational Artificial Intelligence 7

Review of Deep Learning approaches for Conversational Artifi...

引用

7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Behl, Vivek Bibhu, Vimal Noida International University Department of Computer Science and Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9798350350067

Conversational Artificial Intelligence (CAI) is now part of our life as we can find conversational agents everywhere in every kind of devices which make our life easy. Conversation assistants like Amazon Alexa, I-Phone Siri are now readily available. But development of these agents is not that easy, to model an agent that can understand the input (text, voice, and image) in natural language is a difficult task for a machine. We are in this field since long, but this area still remains the hardest one to perform. In our paper we have given a review about how this technology has grown till date. From handwritten rules to train the machine through deep learning methodology CAI has grown beautifully but has yet to blossom. The reason behind the slow growth of CAI is the natural language of humans, every country, states and even cities inside the state have different language or the different accent moreover to mimic the trait of humans in machines to naturally think about any topic in this world and to respond to same is the hardest part. In the end we have discussed how transformer-based model has improved the accuracy and future work regarding the same. © 2024 IEEE.

关键词： Chatbots

来源：评论

学校读者我要写书评

暂无评论

MLOps Approach for Automatic Segmentation of Biomedical Images 6

MLOps Approach for Automatic Segmentation of Biomedical Imag...

引用

6th international conference on Informatics and Data-Driven Medicine (IDDM)

作者： Berezsky, Oleh Pitsun, Oleh Melnyk, Grygoriy Batko, Yuriy Liashchynskyi, Petro Berezkyi, Mykola West Ukrainian Natl Univ 11 Lvivska St UA-46001 Ternopol Ukraine

When using artificial intelligence systems for processing medical images, a large amount of software libraries, data and cloud computing is required. Implementing deep learning elements in CAD is a complex process and applying DevOps can help speed up this process. The implementation of DevOps approaches in the field of machine learning differs from the operations with standard programs;therefore the development of MLOps approaches to the implementation of deep learning elements for the analysis of biomedical images is an actual task. The developed pipeline allows scientists and specialists to use the findings in this article to launch projects based on machine learning and focus on model development rather than the process of setting up the environment. This paper provides examples of improved MLOps pipelines that can be used for solving problems of automatic image segmentation and evaluating the quantitative characteristics of microobjects.

关键词： machine learning MLOps biomedical images programming

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 << < 471 472 473 474 475 476 477 478 479 480 > >>

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：