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

1,526 篇 会议
2 篇 期刊文献

馆藏范围

1,528 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,137 篇 工学
- 964 篇 计算机科学与技术...
- 824 篇 软件工程
- 268 篇 信息与通信工程
- 206 篇 控制科学与工程
- 170 篇 生物工程
- 150 篇 电气工程
- 91 篇 电子科学与技术（可...
- 84 篇 动力工程及工程热...
- 81 篇 生物医学工程（可授...
- 75 篇 机械工程
- 66 篇 光学工程
- 64 篇 安全科学与工程
- 54 篇 交通运输工程
- 38 篇 化学工程与技术
- 34 篇 环境科学与工程（可...
- 29 篇 仪器科学与技术
537 篇 理学
- 258 篇 数学
- 180 篇 生物学
- 120 篇 物理学
- 77 篇 统计学（可授理学、...
- 69 篇 系统科学
- 41 篇 化学
316 篇 管理学
- 208 篇 管理科学与工程(可...
- 137 篇 图书情报与档案管...
- 122 篇 工商管理
70 篇 法学
- 59 篇 社会学
59 篇 医学
- 55 篇 临床医学
- 51 篇 基础医学(可授医学...
- 34 篇 药学(可授医学、理...
52 篇 经济学
- 52 篇 应用经济学
24 篇 农学
19 篇 教育学
6 篇 文学
5 篇 军事学

主题

35 篇 software
32 篇 internet of thin...
32 篇 computer softwar...
27 篇 application soft...
26 篇 computer archite...
24 篇 real-time system...
23 篇 software enginee...
20 篇 deep learning
20 篇 cloud computing
20 篇 computer vision
19 篇 computational mo...
17 篇 costs
17 篇 convolutional ne...
16 篇 feature extracti...
16 篇 machine learning
16 篇 training
15 篇 programming
15 篇 recommender syst...
14 篇 computer science
14 篇 object detection

机构

22 篇 wuhan donghu uni...
17 篇 school of comput...
8 篇 school of cyber ...
8 篇 school of inform...
8 篇 university of ta...
8 篇 school of electr...
7 篇 school of comput...
7 篇 college of compu...
6 篇 school of electr...
6 篇 school of electr...
6 篇 school of automa...
6 篇 school of inform...
5 篇 chitkara univers...
5 篇 beijing key labo...
5 篇 beijing universi...
4 篇 college of engin...
4 篇 school of comput...
4 篇 school of big da...
4 篇 school of comput...
4 篇 beijing engineer...

作者

8 篇 lian ren-zun
7 篇 zhang bo
5 篇 wang jing
5 篇 li zixin
5 篇 li jiawen
5 篇 li jianqiang
4 篇 mirchandani sanj...
4 篇 liang meiyu
4 篇 zhang rui
4 篇 surendran r.
4 篇 chen xiangning
4 篇 li weixin
4 篇 li jian
4 篇 zhang li
4 篇 liu hai
4 篇 meiyu liang
3 篇 wang lei
3 篇 yawen li
3 篇 li yang
3 篇 dai fei

语言

1,509 篇 英文
16 篇 中文
14 篇 其他
3 篇 土耳其文
1 篇 德文

检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

共 1528 条记录，以下是311-320 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：

Review on Energy Management for Green IoT in Smart World 8

Review on Energy Management for Green IoT in Smart World

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Kumari, Shailja Gupta, Divya Chandigarh University Department of Computer Science and Engineering Mohali140413 India

ISBN: (纸本)9798350396638

With the advance of information and communication Technology, the world endeavors to become smart with the Internet of things (IoT). IoT has important use in various aspects of human life in which things (e.g., cars, computer watches, buses, mobiles phone, trains) can interconnect intelligently to serve people in a cooperative manner. However, major challenges for smart IoT are energy consumption and the production of large volumes of toxic electrical and electronic waste(E-waste) with carbon footprints. In this regard, the concept of energy management and green IoT emerged as recent research topics to create sustainable IoT for a smart world. this paper reviews existing energy management approaches (Energy Saving, Energy Harvesting, Reducing Greenhouse Effect) to explore sustainable IoT for making the world smarter, eco-friendly, and sustainable. In addition, related work with application, challenges, the goal of green IoT(GIoT), energy taxonomy, and future research towards energy efficiency and sustainable IoT is discussed. © 2023 ieee.

关键词： Greenhouse effect

来源：评论

学校读者我要写书评

暂无评论

Clustering-based Hemileia Vastatrix Disease Prediction in Coffee Leaf using Deep Belief Network 8

Clustering-based Hemileia Vastatrix Disease Prediction in Co...

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Raveena, S. Surendran, R. Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350396638

Leaf Rusting Disease in coffee plants is a severe agricultural issue that affects the growth of plants and the production of crops. Coffee farming is a highly organized agricultural industry. Coffee cultivation is an extremely structured branch of agriculture. India is one of the world's top eight coffee producers, owing to optimal growing conditions. At the same time, coffee is susceptible to a wide range of illnesses, which have a substantial impact on crop yield. An effective design based on newly established deep learning (DL) model based on Deep Belief Networks (DBN), which is a multilayer generative graphical model for detecting leaf rust disease in coffee plantations. Disease detection in coffee plants is inaccurate with current approaches. the present strategies for detecting illness in coffee plants are ineffective. this research describes a high-accuracy method for detecting Coffee Leaf Rusting Disease using a Deep Belief Network. To find the damaged regions in the leaf photograph, the proposed DBN strategy includes the creation of an appropriate region-growing segmentation. Deep Belief Networks are a sort of neural network that can learn from complicated information unsupervised, and feature extraction is often conducted by RBMs in the network's bottom level. A wide range of tests was carried out to demonstrate the positive performance of the DBN method, and the outcomes ensured that the DBN model was improved. © 2023 ieee.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

MISA-MD: A New Design of Molecular Dynamics software for GPU Architecture 24

MISA-MD: A New Design of Molecular Dynamics Software for GPU...

引用

24th ieee international conference on High Performance Computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Chu, Genshen Chen, Tianyi Chen, Dandan Bai, He Li, Guannan Ren, Shuai Li, Yang School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Beijing Research Center Zhejiang Lab Beijing China

ISBN: (纸本)9798350319934

Molecular dynamics is a significant method in computational material and many other fields, and is computationally intensive. In this paper, we present a new molecular dynamics software, MISA-MD, which is mainly designed for high computational performance on GPU architecture. the main contributions include a redesign of the atom data structure, communication optimizations, parallel strategies and a series of GPU optimizations on memory accessing. Compared to the CPU version, the presented version of MISA-MD can achieve more than 130 speedup when running on GPU hardware. Moreover, our MISAMD code also demonstrates 51 % performance improvement, when compared to the well-known software LAMMPS on GPU. © 2022 ieee.

关键词： Graphics processing unit

来源：评论

学校读者我要写书评

暂无评论

Conversion of American Sign Language to Text Using Deep Learning for Feature Extraction and Naive Bayes for Classification 8

Conversion of American Sign Language to Text Using Deep Lear...

引用

8th ieee international conference for Convergence in Technology, I2CT 2023

作者： Addepalli, Nishanth Pabolu, Ravi Kanth Ganesh Chennuru, Siva Vissampalli, Vara Lakshmi Madhumati, G.L. Velagapudi Ramakrishna Siddhartha Engineering College Department of ECE A.P Vijayawada520 007 India

ISBN: (纸本)9798350334012

Sign language serves as a bridge between persons who are physically impaired and those who are not. It is necessary to increase the consciousness about sign language in public, cause people with abnormalities loose many opportunities of growth, recognition in life due to lack of communication abilities. Hence, sign language plays a vital role in human life. It also improves Human computer interaction (HCI). this paper aims to describe a vision-based system of approach for recognition of people's hand gestures in order to help them communicate more effectively with normal people. this method aims to recognize American Sign Language (ASL) hand gestures and translate them into Text. After a thorough analysis, the best potential technique to converting real-time American Sign Language into text with the approach of Transfer Learning using Alexnet for feature extraction and with classification algorithms like KNN, SVM, Naive Bayes in MATLAB software are used. Among the three Classifiers, the Naive Bayes achieved highest accuracy of 97.92%. © 2023 ieee.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Design and implementation of a computer network intrusion detection system based on convolutional neural network 8

Design and implementation of a computer network intrusion de...

引用

8th international conference on Information systems engineering, ICISE 2023

作者： Chen, Yao Wuhan Donghu University Wuhan430212 China

ISBN: (纸本)9798350307009

In order to effectively monitor and detect the characteristics and abnormal behavior of network traffic, this paper uses convolution neural network model to realize the classification and prediction of network data. Firstly, a system model including data preprocessing module, data hierarchy module and convolution neural network module is established. Secondly, the data is preprocessed and normalized by convolution operation. then, the pooled pool is used to select features, and the back-propagation algorithm and gradient descent algorithm are used to optimize the model to complete feature extraction and training. Based on this, the characteristics and abnormal behavior of network traffic can be monitored and detected. In the experiment, the KDDCUP 1999 data set and UNSW-NB15 data set were used for system testing and compared with various methods. the experimental results show that the detection accuracy, precision, recall and F1 index of the proposed system are more than 10% higher than those of other methods, showing good performance and high application value. © 2023 ieee.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

LiDAR Sensor for Self-Driving Cars 8

LiDAR Sensor for Self-Driving Cars

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Tummala, Manoj Pravin, A. Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350396638

Progressive technological development results in modern automotive technology such as self-driving automobiles. these require sensors to collect data about nearby objects and the surroundings in order to identify lanes and make decisions. Instead of LiDAR sensors (Light Detection and Ranging), Tesla, Waymo, and other successful businesses have employed cameras for developing autonomous vehicles. the disadvantage of camera performance changing with lighting conditions can be solved by using LiDAR. the LiDAR sensor aids in 3D mapping, allowing cars to travel in a predictable environment. the use of cameras for monitoring normal driving circumstances might be difficult because of the large range of features they include, but LiDAR contains infrared light, which is a solution for concerns such as fog, rainy weather, and varied textures. Developing sensors driven by computer vision can lead to more environmental sensing for self-driving automobiles in the future. this study discusses the use of LiDAR sensors in autonomous cars. © 2023 ieee.

关键词： Autonomous vehicles

来源：评论

学校读者我要写书评

暂无评论

Effect of Implementation of Energy Efficiency in Residential Sector in Libya 8

Effect of Implementation of Energy Efficiency in Residential...

引用

8th international engineering conference on Renewable Energy and Sustainability, ieCRES 2023

作者： Eteriki, Mohammad A. El-Osta, Wedad A. Nassar, Yasser F. Khozondar, Hala J. El- University of Tripoli Department of Engineering Managemen Tripoli Libya Center for Solar Energy Research and Studies Tripoli Libya Wadi Alshatti University Mechancal &renewable Energy Eng. Dept. Brack Libya The Islamic University of Gaza Electrical Eng. and Smart Systems Dept. Gaza Palestine

ISBN: (纸本)9798350300758

the energy consumption in a household with traditional home appliances was analyzed and compared with the energy consumption using market-available energy-saving equipment in order to assess the energy efficiency potential in improving home appliances. Energy consumption from the two scenarios was compared, and emission savings was evaluated. RETSCREEN software was used to validate the findings. Money-saving calculations were conducted for this household and generalized to the entire country, emission savings were calculated, as well as total energy savings in barrels of oil equivalent, the obstacles and motivations were identified. Various policies and strategies to promote energy efficiency in home appliances were proposed. © 2023 ieee.

关键词： Domestic appliances

来源：评论

学校读者我要写书评

暂无评论

Fruit quality detection and classification using computer Vision Techniques 8

Fruit quality detection and classification using Computer Vi...

引用

8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： thomas Leonid, T. Hemamalini Nanthine, T. Krithika Kcg College of Technology Department of Electronics and Communication Engineering Chennai97 India

ISBN: (纸本)9798350347791

Human health has been affected by the use of pesticides, fertilizers, and harmful steroids, which may cause serious health issues. We need a reliable method to identify infections and chemicals in the food we eat since harmful chemicals penetrate the internal organs through fruits and vegetables. the current maximum limit for insecticides that can be taken by people and animals is set by the MRL (i. e Maximum Residue Level). Pollutants are considered to be present if the fruit is found to fall outside of the MRL's acceptable limits. By using Internet of things (IoT), pesticide concentrations can be measured and recorded on a cloud platform. Keras is also used for distributed training of deep learning models, Tensor Flow is the framework used in the Keras library for software designing purposes. An effective monitoring system must be customized to provide reliable network about diseases in fruits and the occurrence of dangerous pesticides in fruits to the cloud platform that processes and sends them to the application on a user's Android smartphone. Hardware and software design is implemented to obtain an accurate result. Accuracy, Precision and perfection are used to create performance measurements with the help of Performance metrics which is established. Using sensing devices like temperature, gas, pH, moisture, Rasperrypy and a Wi-Fi module, a system was constructed to collect data on the existence of pollutants in the environment. the proposed system is a simple, accurate, and real-time best solution and easy to implement. © 2023 ieee.

关键词： Fruits

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study on the Working of GNN and CNN on Panoramic X-Rays in Prediction of Dental Diseases 8

A Comparative Study on the Working of GNN and CNN on Panoram...

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Devi thumati, Sai Manichandana Dhanya, Kode Sathish, Harsha Sekhar Madan, K.C. Rani, Siji Amrita Vishwa Vidyapeetham Amrita School of Computing Department of Computer Science and Engineering Amritapuri India

ISBN: (纸本)9798350396638

Artificial Intelligence, particularly Machine Learning and Deep Learning, has become increasingly popular to support medical diagnostics. the development of AI in dentistry has become a huge boon for patients, as their results can be calculated using sophisticated Deep Learning models, which will provide the results within a short time span when compared to other methodologies. In this case, the Graphical Neural Network (GNN) model outperforms other models like the CNN model in terms of the accuracy measures. Using this model, the doctor will get the prediction of disease from the patient X Ray/report. In this research, the GNN and the CNN algorithms have been compared for the prediction of dental diseases. the GNN algorithm obtained close to 99% accuracy and the CNN algorithm obtained 93% accuracy. © 2023 ieee.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Parkinson's Disease Detection using Machine Learning Algorithm 8

Parkinson's Disease Detection using Machine Learning Algorit...

引用

8th international conference on Communication and Electronics systems, ICCES 2023

作者： Shabu, S. L. Jany Sivapriya, V. Josephine Kavya, F. Refonaa, J. Dhamodaran, S. Poornima Sathyabama University Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350396638

Parkinson's disease (PD) is a neurological ailment characterised by the gradual onset of motor symptoms such as tremors and muscle stiffness. It might be challenging to make a correct diagnosis of PD in its early stages since the symptoms may be similar to those of other conditions or to age-related physiological changes. this research uses convolutional neural networks, a type of deep neural network, to aid in the diagnosis of Parkinson's disease. With the help of the patient, the drawing exercises are employed to detect abnormal motor patterns. When trained on pictures of spiral drawings, the proposed convolutional classifier successfully distinguishes PD patients from controls 91.67% of the time. An improved version of the proposed program that can do a specific diagnostic procedure automatically and with minimum human interaction is not far off. © 2023 ieee.

关键词： Neurodegenerative diseases

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153页 << < 28 29 30 31 32 33 34 35 36 37 > >>

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：