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

18,606 篇 会议
2,903 篇 期刊文献
171 册 图书

馆藏范围

21,680 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

13,198 篇 工学
- 9,353 篇 计算机科学与技术...
- 7,819 篇 软件工程
- 3,730 篇 信息与通信工程
- 2,086 篇 控制科学与工程
- 1,705 篇 电子科学与技术（可...
- 1,609 篇 电气工程
- 1,370 篇 生物工程
- 1,144 篇 生物医学工程（可授...
- 978 篇 光学工程
- 898 篇 机械工程
- 794 篇 仪器科学与技术
- 705 篇 动力工程及工程热...
- 647 篇 化学工程与技术
- 522 篇 安全科学与工程
- 500 篇 交通运输工程
- 379 篇 建筑学
6,690 篇 理学
- 3,520 篇 数学
- 1,930 篇 物理学
- 1,485 篇 生物学
- 1,146 篇 统计学（可授理学、...
- 775 篇 系统科学
- 665 篇 化学
3,419 篇 管理学
- 2,070 篇 管理科学与工程(可...
- 1,535 篇 图书情报与档案管...
- 1,076 篇 工商管理
981 篇 医学
- 845 篇 临床医学
- 780 篇 基础医学(可授医学...
- 495 篇 药学(可授医学、理...
- 422 篇 公共卫生与预防医...
598 篇 法学
- 471 篇 社会学
376 篇 经济学
328 篇 农学
269 篇 教育学
88 篇 文学
44 篇 军事学
20 篇 艺术学
1 篇 哲学

主题

689 篇 accuracy
481 篇 feature extracti...
468 篇 deep learning
446 篇 computational mo...
355 篇 training
345 篇 support vector m...
318 篇 real-time system...
306 篇 internet of thin...
292 篇 computer science
249 篇 predictive model...
246 篇 machine learning
226 篇 computer archite...
212 篇 reliability
211 篇 optimization
206 篇 wireless communi...
199 篇 convolutional ne...
198 篇 neural networks
193 篇 data mining
192 篇 routing
184 篇 image segmentati...

机构

84 篇 institute of inf...
83 篇 institut univers...
82 篇 north-west unive...
81 篇 national centre ...
80 篇 tno technical sc...
79 篇 infn sezione di ...
77 篇 dept. of informa...
76 篇 infn sezione di ...
75 篇 nikhef national ...
74 篇 university würzb...
72 篇 université de st...
66 篇 università di ca...
64 篇 university of jo...
58 篇 dept. of informa...
56 篇 dept. of compute...
54 篇 university moham...
53 篇 leiden universit...
52 篇 school of automa...
51 篇 dept. of compute...
51 篇 university moham...

作者

85 篇 ferrara g.
85 篇 ardid m.
84 篇 calvo d.
84 篇 gal t.
84 篇 bozza c.
82 篇 díaz a.f.
81 篇 chen a.
81 篇 kalekin o.
80 篇 boumaaza j.
80 篇 coleiro a.
79 篇 gozzini s.r.
78 篇 dallier r.
75 篇 anguita m.
74 篇 boettcher m.
72 篇 enzenhöfer a.
69 篇 huang f.
69 篇 aly z.
66 篇 celli s.
59 篇 dornic d.
54 篇 carretero v.

语言

19,231 篇 英文
2,126 篇 其他
206 篇 中文
83 篇 日文
35 篇 朝鲜文
3 篇 斯洛文尼亚文
1 篇 德文
1 篇 法文

检索条件"机构=Dept. of Computer Science and engineering and Information Technology"

共 21680 条记录，以下是4951-4960 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：

Real-Time Sign Language Recognition using Machine Learning and CNN-based EfficientNetB3 for Accessible Communication

Real-Time Sign Language Recognition using Machine Learning a...

引用

Automation, Computing and Renewable Systems (ICACRS), International Conference on

作者： Zabir Ibna Mizan Farzam Aidelkhani Khandaker Tasfia Reza Tanbir Hasan Bhuiyan Munzirul Alom Saiful Islam Tuhin Dept. of Electrical and Computer Engineering (ECE) North South University (NSU) Dhaka Bangladesh Dept. of Electrical and Electronic Engineering (EEE) Independent University Bangladesh (IUB) Dhaka Bangladesh Dept. of Computer Science Engineering Engineering (CSE) Bangladesh University of Business and Technology (BUBT) Dhaka Bangladesh Dept. of Electrical and Electronic Engineering (EEE) Bangladesh University of Business and Technology (BUBT) Dhaka Bangladesh

ISBN: (数字)9798331532420

ISBN: (纸本)9798331532437

This research analyzes the challenges faced by Sign Language Recognition (SLR) systems by evaluating the performance of EfficientNetB3, Inception-v3, and GoogLeNet models. Using a dataset of 27,000 American Sign Language (ASL) images across 27 classes, EfficientNetB3 emerged as the top performer. After fine-tuning the model with the full dataset, it achieved a test accuracy of 99.53%. We then integrated this optimized model into a real-time, user-friendly Android app for sign language recognition, offering a valuable tool for enhancing communication accessibility, particularly for the deaf and hard-of-hearing. This research work contributes to advancing SLR and promoting inclusive communication.

关键词： Training Sign language Renewable energy sources Accuracy Computational modeling Face recognition Machine learning Programming Real-time systems Robustness

来源：评论

学校读者我要写书评

暂无评论

Optimizing Brain Tumor Segmentation with Advanced Superpixel Techniques in Conjunction with Deep Learning Methods

Optimizing Brain Tumor Segmentation with Advanced Superpixel...

引用

2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques, EASCT 2023

作者： Chythanya, Kanegonda Ravi Aruna, S. Karuppaiah, Jayakumar Arul, S. Benjamin Kumar Pareek, Piyush Sr University School of Computer Science & Artificial Intelligence Warangal India Srmist Dept. of Computational Intelligence Chennai India KIT- Kalaignarkarunanidhi Institute of Technology Department of Biomedical Engineering Coimbatore India School of Engineering and Technology Jeppiaar University Chennai India Nitte Meenakshi Institute of Technology Department of Ai and Ml Bengaluru India

ISBN: (纸本)9798350313413

Brain tumor segmentation in medical imaging is crucial for precise diagnosis and treatment planning. To address these issues, our research leverages deep learning techniques and introduces an innovative approach that combines various key components. Our methodology includes preprocessing, superpixel segmentation, feature extraction, and the use of a Convolutional Neural Network (CNN) to achieve precise brain tumor segmentation. This approach is driven by the necessity for improved accuracy and efficiency, especially with diverse clinical data and tumor types, like the challenging BraTS 2018 dataset, consisting of 1070 T1W-CE MRI images. This approach using metrics such as the Dice score, sensitivity, and specificity, which demonstrate the superior performance of our superpixel model in brain tumor segmentation. This proposed method yields exceptional results, with a Dice score of 97.06%, sensitivity of 99.05%, and specificity of 99.83%, highlighting its accuracy and effectiveness in tumor segmentation when compared to existing methods such as UNet, Kapur entropy, and rough set theory. This research significantly advances the state of the art and offers great promise for enhancing medical image analysis in this critical field. © 2023 IEEE.

关键词： Brain tumor Convolutional Neural Network Deep Learning Superpixel technique Tumor segmentation

来源：评论

学校读者我要写书评

暂无评论

Comprehensive Security Solution for an Industry 4.0 Garment Manufacturing System 3

Comprehensive Security Solution for an Industry 4.0 Garment ...

引用

3rd International Conference on Advancements in Computing, ICAC 2021

作者： Kalhara, Dasunpriya De Alwis, Udara Jinadasa, Anuka Randunu, Dinuwan Nuwanthika, Wellalage Sasini Abeygunawardhana, Pradeep K. W. Sri Lanka Institute of Information Technology Dept. Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9781665408622

Industry 4.0, digital transformation towards Internet of Things (IoT) focuses on productivity rather than security, therefore often face cybersecurity challenges. To overcome such, a centralized security solution focusing on four major areas 1) Standardization, 2) Security configurations with update management, 3) Authentication and physical access control and 4) Intrusion detection was applied to Cyber Physical System (CPS) based garment manufacturing system to overcome the security gap. Security policies based on ISO 27001:2013 and IEC 62443 security standards were applied to the security configuration management system in the design stage to achieve 'security by design' concept. Security and audit configurations were applied using Ansible for the automated tool that can be customized based on requirements. A Raspberry Pi 4 was utilized as IDS (Intrusion Detection System) to evaluate performance. The physical access control prevents unauthorized access and access monitoring was done using logs. The proposed system enhances security, reaching for a cost-effective, efficient, reusable solution, and provides a comprehensive security solution for potential challenges of current and future smart manufacturing. The system is secured in terms of strategy, design, and operations rather than securing the system after deployment. © 2021 IEEE.

关键词： Industry 4.0

来源：评论

学校读者我要写书评

暂无评论

Mitigating Crop Losses: AI-enabled Disease Detection in Tomato Plants 20

Mitigating Crop Losses: AI-enabled Disease Detection in Toma...

引用

20th International Conference on Frontiers of information technology, FIT 2023

作者： Ashfaq, Hassan Arshad, Usama Ali, Raja Hashim Ul Abideen, Zain Shah, Muhammad Huzaifa Ali Khan, Talha Ijaz, Ali Zeeshan Ali, Nisar Siddique, Abu Bakar Gik Institute of Engg. Sciences & Technology Faculty of Computer Science & Engineering Topi Pakistan University of Europe for Applied Sciences Dept. of Technology & Software Engineering Berlin Germany BCMaterials Basque Center for Materials Applications & Nanostructure Basque Country Leioa Spain University of Regina Faculty of Electronic Systems Engineering Regina Canada

ISBN: (纸本)9798350395785

Fostering crop health is vital for global food security, underscoring the need for effective disease detection. This research introduces an innovative artificial intelligence (AI) model designed to enhance the detection and diagnosis of diseases in tomato plants, particularly focusing on Early Blight and Late Blight. Significantly, our model leverages cutting-edge image processing techniques to improve disease detection efficiency, outperforming traditional methods in terms of speed and accuracy. Our results demonstrate an impressive model accuracy of 92.58% on training data and 86.83% on validation data, showing the effectiveness of AI in diagnosing plant diseases. These high accuracy rates underline the potential of our model for timely disease classification, allowing for immediate and appropriate interventions. However, our research also identified a potential overfitting problem in the model's performance. To address this, we propose using regularization and data augmentation techniques to enhance the model's generalizability on unseen data. Additionally, we delve into inherent challenges that plague AI-based plant disease detection, such as the scarcity of diverse datasets and the difficulty of achieving broad generalizability across different plant species. In identifying potential solutions for these issues, our research lays the groundwork for the wider and more practical implementation of AI technologies in agriculture. © 2023 IEEE.

关键词： Crops

来源：评论

学校读者我要写书评

暂无评论

Compact four-mode silicon multimode bends with a 500 nm bandwidth

Compact four-mode silicon multimode bends with a 500 nm band...

引用

OptoElectronics and Communications Conference, OECC

作者： Feng Li Fengyao Ding Rui Wu Yingjie Liu Ke Xu School of Information Science and Engineering Yanshan University Qinhuangdao China Dept. of Electronic and Information Engineering Harbin Institute of Technology Shenzhen China

A double-etch multimode bending based on four free-form curves is proposed. The designed device with an equivalent radius of only 14$\mu$ m has low loss $(\lt0.18$ dB) and crosstalk $(\lt -20$ dB) over 500 nm bandwidth.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automated Banking Fraud Detection for Identification and Restriction of Unauthorised Access in Financial Sector 3

Automated Banking Fraud Detection for Identification and Res...

引用

3rd International Conference on Smart Electronics and Communication, ICOSEC 2022

作者： Biswas, Ankur Deol, Ramandeep Singh Jha, Barun Kumar Jakka, Geethamanikanta Suguna, M. Raja Thomson, Benjamin Isaac Adamas University Dept. of Comp. Sc. & Engg. Kolkata India Lkctc Dept. Management Jalandhar India University of Delhi Department of Commerce Atma Ram Sanatan Dharma College India University of the Cumberlands Information Technology United States Computer Science and Engineering R.M.K. College Engineering and Technology India BTech Biotechnology Sathyabama Institute of Science and Technology India

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

Modern techniques have allowed for using advanced technology and tools in order detect fraud within an organisation. It is essential for any Banking sector or financial sector to identify those fraudulent activities that might be associated within their network. Different AI-based technology and ML algorithms are used within banking sectors of India and other countries of this world to determine frauds and unauthorised access. This research article have identified that Data mining is effective for the banking sector to target customers, who might develop fraudulent activities through the credit process. SVM, Logistic regression, Decision tree, Neural networks are used as data mining tools within banking sector's fraud detection process, however all these tools required a data balancing method before structuring the model. Autoencoder is a model that is proposed for fraud detection without any data balancing. A secondary thematic data analysis process is developed within this research article to investigate of different variables relevant to this topic. It has been found that, proposed model for cyber-crime detection, AI-enabled automated fraud controlling system are effective to reduce risk within banking sector. Moreover, SAS is effective software used by banking sector to detect fraud. It generates alert signals for any fraudulent behaviour with system of banks. However, banking sectors need to engage good governance to mitigate challenge regarding lack of skill and expertise within their data mining process. © 2022 IEEE.

关键词： Decision trees

来源：评论

学校读者我要写书评

暂无评论

Design of efficient single-etch grating couplers for silicon nitride photonics at 1550 nm

Design of efficient single-etch grating couplers for silicon...

引用

2024 Photonics North, PN 2024

作者： Fraser, William Benedikovic, Daniel Korcek, Radovan Milanizadeh, Maziyar Bucio, Thalía Domínguez Vitali, Valerio Gardes, Frederic Y. Schmid, Jens H. Cheben, Pavel Ye, Winnie N. Dept. Electronics Carleton University Ottawa Canada Dept. Multimedia and Information-Communication Technologies University of Zilina Zilina Slovakia University Science Park University of Zilina Zilina Slovakia National Research Council Ottawa Canada Optoelectronics Research Centre University of Southampton Highfield Campus Southampton United Kingdom Electrical Computer and Biomedical Engineering Department University of Pavia Pavia27100 Italy

ISBN: (纸本)9798350366365

We present the design of single-etch grating couplers implemented on native and a hybrid silicon nitride (SiN) photonic platform with amorphous silicon (α-Si) overlays, operating in the telecom waveband. The SiN-only grating coupler has a coupling loss of -3.6 dB and a 1-dB bandwidth of 37 nm. A hybrid α-Si-on-SiN platform yields improved coupling loss of -1.4 dB and -1 dB for uniform and subwavelength grating apodized designs, respectively. © 2024 IEEE.

关键词： Silicon nitride

来源：评论

学校读者我要写书评

暂无评论

Innovative Method for Enhancing E-Bikes Performance through riding mechanical force

Innovative Method for Enhancing E-Bikes Performance through ...

引用

Renewable Energy and Sustainable E-Mobility Conference (RESEM), IEEE

作者： Hritik Yadav Neha Shrivastava Devendra Singh Rathod Tanisha Gupta Dept. of Electronics and Communication Engineering IES College of Technology Bhopal Bhopal India Dept. of Computer Science and Engineering IES College of Technology Bhopal Bhopal India

This paper presents a novel approach to charging E-bikes using their own mechanical energy generated during riding. Inspired by the method used in petrol vehicles where the battery charges itself while in use, we propose a similar system for E-vehicles, specifically E-bikes. Our method involves the addition of a secondary battery to the bike, which will charge itself while the vehicle is in motion, and when parked, it will charge the main battery. This innovative solution aims to improve the mileage of E-bikes, which is a significant drawback compared to petrol vehicles.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Detecting Crops and Weeds in Fields Using YOLOv6 and Faster R-CNN Object Detection Models

Detecting Crops and Weeds in Fields Using YOLOv6 and Faster ...

引用

Recent Advances in information technology for Sustainable Development (ICRAIS), International Conference on

作者： Srikanth Bhat K K Annapoorna Shenoy Moulya R Jain Manasvi K Dept. of Information Science and Engineering NMAM Institute of Technology NITTE (Deemed to be University) Nitte India

It is true that every nation's progress, particularly India's, depends heavily on its agricultural sector. Farmers are always concerned about weeds because they may dramatically lower agricultural output and cause financial losses. Therefore, the productivity and profitability of the agricultural industry may be significantly impacted by the development of technologies that can precisely detect and control weeds. Robotic weed detection and eradication is a promising technology that can reduce labour costs and time spent while increasing weed control's precision and efficacy. Robots must, however, be outfitted with sophisticated computer vision systems that can precisely identify and categorize items in real-time if they are to properly discriminate between crops and weeds. Two well-liked methods for object recognition in computer vision are Faster Region - Convolutional Neural Network (Faster R-CNN) and You Only Look Once (YOLO). Our study can assist in determining the best algorithm for weed detection and management by evaluating their performance on a sizable collection of photos of crops and weeds. Accurate weed identification and management can also be advantageous for precision agriculture, which makes use of technology and data analytics to improve agricultural output. Farmers may use less pesticides, saving money and reducing their impact on the environment, by more accurately focusing on weed-infested regions. Overall, our study has the potential to develop agricultural technology, increase crop yields, and guarantee food security for the world's expanding population.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Characteristic Mode Analysis of Wideband Patch Antenna Using Dual-Mode Resonance

Characteristic Mode Analysis of Wideband Patch Antenna Using...

引用

Global Conference for Advancement in technology (GCAT)

作者： Vinaya Kumar S R Venkatesh T Puneeth Kumar Tharehalli Rajanna Dept. of Electrical and Electronics Engineering Ghousia College of Engineering Ramanagara Karnataka India Dept. of Computer Science Engineering Ghousia College of Engineering Ramanagara Karnataka India Dept. of Electronics and Telecommunication Engg Siddaganga Institute of Technology Tumkur Karnataka India

ISBN: (数字)9798350376685

ISBN: (纸本)9798350376692

This paper presents the characteristic mode analysis(CMA) of wideband patch antenna using dual-mode resonances. CMA is used to analyze the fundamental resonance modes of square patch antenna. It has two fundamental modes of TM01 and TM10 modes. The patch is excited using aperture coupling to excite both horizontal and vertical mode. The slot aperture length and width is optimized for better coupling. The vertical mode resonance frequency is slightly reduced by introducing the slot. These two modes combined together gives the wide bandwidth. An impedance bandwidth of 47.12%(1.93GHz-3.12GHz) is obtained. The antenna is well radiated with both modes being radiation efficiency of above 90%. The realized peak gain of 5.72dBi and 4.62dBi is obtained at 2.12GHz and 2.83GHz and good radiation pattern in the broadside direction. The cross polarization level of more than -10dB is achieved with respect to co-polarization level at resonance frequency of 2.12GHz and 2.83GHz respectively and it is suitable for WiFi and Bluetooth applications.

关键词： Couplings Surface impedance Bluetooth Patch antennas Resonant frequency Apertures Characteristic mode analysis Impedance Wideband Wireless fidelity

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 << < 491 492 493 494 495 496 497 498 499 500 > >>

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：