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

1,488 篇 期刊文献
1,213 篇 会议
4 册 图书

馆藏范围

2,705 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,533 篇 理学
- 990 篇 物理学
- 255 篇 数学
- 233 篇 地球物理学
- 180 篇 生物学
- 127 篇 化学
- 105 篇 统计学（可授理学、...
1,443 篇 工学
- 740 篇 计算机科学与技术...
- 611 篇 软件工程
- 310 篇 信息与通信工程
- 222 篇 核科学与技术
- 206 篇 电气工程
- 206 篇 电子科学与技术（可...
- 174 篇 仪器科学与技术
- 164 篇 控制科学与工程
- 137 篇 光学工程
- 133 篇 生物工程
- 126 篇 生物医学工程（可授...
- 96 篇 化学工程与技术
- 76 篇 动力工程及工程热...
- 67 篇 土木工程
- 64 篇 航空宇航科学与技...
- 64 篇 网络空间安全
- 59 篇 安全科学与工程
291 篇 管理学
- 192 篇 管理科学与工程(可...
- 110 篇 图书情报与档案管...
- 92 篇 工商管理
153 篇 医学
- 127 篇 临床医学
- 107 篇 基础医学(可授医学...
- 66 篇 药学(可授医学、理...
- 60 篇 公共卫生与预防医...
58 篇 农学
54 篇 法学
39 篇 经济学
29 篇 教育学
3 篇 文学
2 篇 军事学
1 篇 艺术学

主题

173 篇 hadron colliders
88 篇 deep learning
88 篇 accuracy
83 篇 higgs bosons
66 篇 feature extracti...
54 篇 training
52 篇 internet of thin...
52 篇 real-time system...
49 篇 w & z bosons
49 篇 computational mo...
49 篇 convolutional ne...
48 篇 machine learning
47 篇 proton-proton in...
44 篇 predictive model...
39 篇 relativistic hea...
38 篇 top quark
35 篇 large hadron col...
35 篇 support vector m...
35 篇 standard model (...
33 篇 galaxies

机构

394 篇 faculty of scien...
394 篇 department for p...
379 篇 department of ph...
375 篇 department of ph...
372 篇 department of ph...
371 篇 kirchhoff-instit...
343 篇 yerevan physics ...
337 篇 fakultät für phy...
333 篇 institute of phy...
330 篇 institute of phy...
312 篇 instituto de fís...
290 篇 department of ph...
279 篇 department of ph...
273 篇 nikhef national ...
270 篇 department of ph...
261 篇 dipartimento di ...
258 篇 universidade fed...
254 篇 graduate school ...
253 篇 department of ph...
250 篇 ictp trieste

作者

330 篇 c. alexa
330 篇 j. m. izen
318 篇 g. bella
317 篇 d. calvet
316 篇 c. amelung
315 篇 j. strandberg
296 篇 g. spigo
290 篇 f. siegert
284 篇 r. ströhmer
282 篇 m. rijssenbeek
280 篇 s. jin
280 篇 g. gaudio
279 篇 s. mohapatra
274 篇 y. tayalati
269 篇 s. guindon
264 篇 a. kaczmarska
257 篇 j. schaarschmidt
253 篇 m. klein
253 篇 a. d. pilkington
250 篇 l. chevalier

语言

2,553 篇 英文
143 篇 其他
15 篇 中文

检索条件"机构=Computer Science And Engineering V.S.B Engineering College"

共 2705 条记录，以下是191-200 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：

Non-Invasive Devices for Early Diagnosis of Oral Potentially Malignant Disorders: A Comparative Analysis 6

Non-Invasive Devices for Early Diagnosis of Oral Potentially...

引用

6th International Conference on Recent Trends on Electronics, Information, Communication and Technology, RTEICT 2021

作者： Hegde, Kratharth shenoy, Kedary Krishna, T. sooda, Kavitha Abhilash B.M.S. College of Engineering Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9781665435598

Oral potentially malignant disorders (OPMDs) combine an assortment of sores and conditions which show an increased danger for change to oral cancer. Early discovery and determination of such disorders are important to avoid malignant change. Globally, it was decreed to be the fifteenth most common cancer in 2012. Many advanced determination methods are used to detect, anticipate their progression, and to assess the risk of transformation. As a part of this study a detailed analysis of four non-invasive devices used to detect OPMDs has been conducted by analysing the studies performed by researchers and comparing their sensitivity and specificity. Despite the fact that the devices involved in this study have good sensitivity and specificity (as high as 80%) and are non-invasive in nature, they cannot replace the golden standard of biopsy. © 2021 IEEE.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

GAN based Model for virtual Try on of Clothes

GAN Based Model for Virtual Try on of Clothes

引用

2024 IEEE International Conference on Emerging Technologies in computer science for Interdisciplinary Applications, ICETCs 2024

作者： Toliya, Nikita Paras Chadaga, Neha b. Harshitha, R.M. Dhruva, M. Nagarathna, N. B.M.S College of Engineering Computer Science and Engineering Department Bangalore India

ISBN: (纸本)9798350372502

E-commerce platforms focused on fashion, imagebased virtual try-on solutions have shown considerable potential for enhancing the user experience and increasing customer satisfaction. The 2 D solutions that exist fail to provide a complete satisfactory experience as they lack the capability to take into consideration customer-specific postures and modifications. They rely majorly on generative models due to which reconstructionof high-quality images of the clothing is difficult. The clothing in 3 D v T solutions is created as 3 D models, which are thendraped on 3 D human avatars with various body types. A huge catalog of digitized 3 D garment and clothing models is a crucial requirement for a 3 D vT system, but this requirement requires expensive multiview capture/scan equipment and cannot scaleup for big catalog volumes, especially in the current fast-fashion settings. Hence, we propose a video virtual Try-On model which is based on fully learnable characteristics preserving virtual try on network C P vTON [3]. It first forms a TsP for transforming clothes to fit the target body shape via Geometric Matching *** use a GAN based model for pose *** accuracy resulting from such a model could help in decreasing the waiting time in traditional stores, and also help in decreasing sanitizing costs. © 2024 IEEE.

关键词： Customer satisfaction

来源：评论

学校读者我要写书评

暂无评论

Neural network based bER prediction for 802.16e channel

Neural network based BER prediction for 802.16e channel

引用

2007 15th International Conference on software, Telecommunications and computer Networks, softCOM 2007

作者： Gowrishankar Ramesh babu, H.s. satyanarayana, P.s. Department of Computer Science and Engineering B.M.S. College of Engineering Bangalore India

ISBN: (纸本)9789536114931

The prediction of bit Error Rate (bER) in IEEE 802.16e Mobile WirlessMAN network is investigated here. The state of the channel is estimated on symbol by symbol basis on a realistic fading environment. The state of a channel is modeled as nonlinear and temporal system. Neural network method is the best system to predict and analyze the behaviors of such nonlinear and temporal system. In this context, bER prediction by k symbol ahead is investigated by two different recurrent neural network architectures such as Recurrent Radial basis Function (RRbF) Network and Echo state Network (EsN). The Predicted bER will match very well with the simulation results.

关键词： bit error rate

来源：评论

学校读者我要写书评

暂无评论

Detection Of ships in satellite Imagery Using Deep Neural Networks with Transfer Learning Approach 4

Detection Of Ships in Satellite Imagery Using Deep Neural Ne...

引用

4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

作者： Rutuparna, N. Indiramma, M. B.M.S. College of Engineering Department of Computer Science & Engineering Bengaluru India

ISBN: (纸本)9781665474368

With increasing trade and globalization of businesses, there is also an increasing need for an efficient, reliable and robust system for Naval security, especially for a peninsular country like India. The developing technology and publicly available remote sensing data can be a great solution to this. The focus of this paper is to implement a Deep Neural Network model using transfer learning approach. © 2022 IEEE.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Clustering Analysis of Traffic Accident Dataset using Canopy K Means 1

Clustering Analysis of Traffic Accident Dataset using Canopy...

引用

1st IEEE Mysore sub section International Conference, MysuruCon 2021

作者： shetty, Rajani Indiramma B.M.S. College of Engineering Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9780738146621

Due to increased urbanization, many states in India faces severe road traffic. This leads to more congestion and there by road safety. Identifying the road accident zones, causes and remedial actions needs data analytics. In this paper we are proposing a clustering method to identify road accident hotspots. The data related to traffic accidents are collected from the Kaggle website related to various attributes. After that, the processing of the data is performed to remove the invalid data and also replace the missing attributes. The number of accidents is calculated with the help of the data and Eigen values and Euclidian distance and clustering approach. Finally, this identification of road accident hotspots are given to authorities and policy makers for taking more precautions in the states which are labelled to have higher accidents. © 2021 IEEE.

关键词： Motor transportation

来源：评论

学校读者我要写书评

暂无评论

Implementation of Land Registry system Using Ethereum blockchain and IPFs 8

Implementation of Land Registry System Using Ethereum Blockc...

引用

8th IEEE International Conference on Computational system and Information Technology for sustainable solutions, CsITss 2024

作者： Chandru, Nithin savanur, Niranjan Asha, G.R. vijayeshjeevan, Matam B.M.S. College of Engineering Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798331505462

Frequent changes in property ownership can lead to complex and lengthy records, which may allow fraudulent or incomplete records to go unnoticed. The primary issues stem from incomplete and damaged records caused by different departments storing their own copies, resulting in a lack of comprehensive verification and an increased risk of document forgery. This system proposes a solution using a blockchain-based approach, which creates immutable and transparent records of land ownership by creating an entity to represent land in the blockchain network, making it difficult for unlawful users to forge or modify records. It employs cryptographic methods, consensus protocols, and hashing algorithms to preserve the integrity of the transaction chain. This system proposes an implementation model using Ethereum, and benchmarking shows that the system has a low transaction processing time, making it suitable for practical use. Additionally, the use of the Interplanetary File system (IPFs) for storing all land and user-related documents provides additional security. Cost and performance analysis are carried out based on experiments conducted, demonstrating the system's efficiency and effectiveness. This could streamline the process of land ownership transfer, promote environmental sustainability by minimizing the need for manual paperwork, and reduce the likelihood of disputes and fraud. © 2024 IEEE.

关键词： Ethereum

来源：评论

学校读者我要写书评

暂无评论

DeepFake Detection Through Key video Frame Extraction using GAN 1

DeepFake Detection Through Key Video Frame Extraction using ...

引用

1st IEEE International Conference on Automation, Computing and Renewable systems, ICACRs 2022

作者： Lalitha, s. sooda, Kavitha Department of Computer Science & Engineering B.M.S. College of Engineering Bangalore India

ISBN: (纸本)9781665460842

The emergence of deepfake videos in recent years has made image falsification a real threat. A deepfake video uses deep learning technology to substitute a person's face, emotion, or speech with the face, emotion, or speech of another person. Finding such deceptive deepfake videos on social media is the first step in preventing them. A robust neural network-based technique to identify false videos is presented in this paper. An important video frame extraction approach is used to speed up the process of finding deep fake videos. A model made up of a convolutional neural network (CNN) and a classifier network consisting of GAN technology is provided. Resnet, Resnext50 and LsTM were passed over in favor of the Confusion Matrix when deciding which structure to pair with the classifier while detecting the fake video. The model is a method for detecting visual artefacts. The subsequent classifier network uses the feature vectors from the CNN module as this is the input to categorize the video whether it is fake or real one. The dataset is considered from DeepFake Detection Challenge to get the best model. The key goal is to get high accuracy without using a lot of data to train the model. In comparison to earlier efforts, the key video frame extraction method dramatically decreases computations by achieving 97.2% accuracy using the Deepfake Detection Challenge dataset. © 2022 IEEE

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

COvID-19 Prediction Using Time series Models 4

COVID-19 Prediction Using Time Series Models

引用

4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022

作者： Deepthi, A.R. Indiramma, M. B.M.S. College of Engineering Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9781665474368

Real-time data has evolved to become an integral part of understanding events across different timelines. Machine Learning uses different varieties of algorithms to determine the relationship between sets of data spread across timelines, visualize the current situation, and forecast the future, which is the most important aspect. Due to the breakout of COvID-19, a novel coronavirus, the entire planet is currently experiencing a disastrous crisis. At this time, the sARs-Cov-2 virus has proven to be a possible hazard to human life. The ARIMA Model i.e., Autoregressive Integrated Moving Average is compared with Facebook's Prophet and vARMAX model to foretell the future. The dataset is divided into the training and testing set. The size of the COvID-19 dataset is relatively small as it is a pandemic that occurred recently, due to which much of the data is used for training purposes and the last twelve days have been used for testing and validating the model. The model is trained and fits on the training data set. The algorithms are now ready to anticipate future forecasts after it has been tested and trained. The models also record the predicted and actual values, allowing them to improve their accuracy in the future. In this paper, the results of the ARIMA model are compared against Prophet and vARMAX which are other popular machine learning time series models. For the ease of visualization of covid trends, a dashboard is built using Python's Plotly and Dash and has been deployed using voila. © 2022 IEEE.

关键词： COvID-19

来源：评论

学校读者我要写书评

暂无评论

A survey on bipolar Disorder Classification Methodologies using Machine Learning

A Survey on Bipolar Disorder Classification Methodologies us...

引用

2020 International Conference on smart Electronics and Communication, ICOsEC 2020

作者： vasu, v. Indiramma, M. B.M.S College of Engineering Department of Computer Science Engineering Bangalore India

ISBN: (纸本)9781728154619

This paper focuses on a scenario based bipolar disorder (bD) classification methodology. bD is a psychological brain disorder that affects 45 million people worldwide. It is also called manic depression and causes serious changes in energy level, behavior and shift in moods. Many researchers reported volumetric changes in brain neural networks with bD compared to a healthy person (HP). The methodology currently used for the identification of disorder using functional magnetic resonance imaging (FMRI) data analysis requires specialists in the field and the process is generally time consuming. The present breakthroughs on the prediction using retinal vasculature, where the brain and retinal share the same biomarker structure, machine learning and deep learning, which remains as the most used approach for classification. This paper reviews feature selection and various methodologies used on bP classification and identifies the best methodology that can help the future research work.. © 2020 IEEE.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Implementation of a Methodology for Detection and Prevention of security Attacks in vehicular Adhoc Networks

Implementation of a Methodology for Detection and Prevention...

引用

2020 IEEE International Conference for Innovation in Technology, INOCON 2020

作者： Naveen, R. Chaitanya, N.s.v. Nikhil srinivas, M. vineeth, Nandhini B.M.S. College of Engineering Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9781728197449

In the current generation, road accidents and security problems increase dramatically worldwide in our day to day life. In order to overcome this, vehicular Ad-hoc Network (vANETs) is considered as a key element of future Intelligent Transportation systems (ITs). With the advancement in vehicular communications, the attacks have also increased, and such architecture is still exposed to many weaknesses which led to numerous security threats that must be addressed before vANET technology is practically and safely adopted. Distributed Denial of service (DDos) attack, replay attacks and sybil attacks are the significant security threats that affect the communication and privacy in vANET. An algorithm to detect and prevent various kinds of security attacks in vANET communication has been designed and proposed in this work. An analysis has also been done by applying four protocols on an existing scenario of real traffic simulator using OpenstreetMap and the best suitable protocol has been selected for further application. The evaluation has been done using sUMO, Ns3 and Java simulation environment. simulation results and extensive performance analysis shows that our proposed Algorithm performs well in detecting and preventing the attacks in vANET communication. © 2020 IEEE.

关键词： vehicular ad hoc networks

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271页 << < 16 17 18 19 20 21 22 23 24 25 > >>

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：