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

50,692 篇 会议
13,915 篇 期刊文献
12 篇 科技报告
6 册 图书

馆藏范围

64,625 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

42,674 篇 工学
- 18,304 篇 计算机科学与技术...
- 15,111 篇 软件工程
- 9,477 篇 电气工程
- 8,717 篇 电子科学与技术（可...
- 8,510 篇 信息与通信工程
- 7,379 篇 控制科学与工程
- 6,062 篇 化学工程与技术
- 5,170 篇 机械工程
- 4,874 篇 材料科学与工程（可...
- 4,852 篇 动力工程及工程热...
- 3,811 篇 力学（可授工学、理...
- 3,590 篇 土木工程
- 3,330 篇 建筑学
- 3,293 篇 仪器科学与技术
- 3,027 篇 生物医学工程（可授...
- 3,003 篇 光学工程
- 2,981 篇 生物工程
- 2,593 篇 冶金工程
- 1,843 篇 安全科学与工程
25,874 篇 理学
- 11,327 篇 数学
- 10,917 篇 物理学
- 5,547 篇 化学
- 3,458 篇 生物学
- 3,049 篇 统计学（可授理学、...
- 2,059 篇 系统科学
7,743 篇 管理学
- 5,730 篇 管理科学与工程(可...
- 2,883 篇 工商管理
- 2,318 篇 图书情报与档案管...
2,308 篇 医学
- 1,936 篇 临床医学
- 1,757 篇 基础医学(可授医学...
1,335 篇 经济学
1,214 篇 法学
875 篇 农学
664 篇 教育学
192 篇 军事学
180 篇 文学
77 篇 艺术学
9 篇 哲学
8 篇 历史学

主题

1,197 篇 accuracy
914 篇 feature extracti...
728 篇 computational mo...
728 篇 training
644 篇 real-time system...
559 篇 optimization
555 篇 deep learning
553 篇 mathematical mod...
511 篇 predictive model...
497 篇 switches
469 篇 internet of thin...
463 篇 support vector m...
456 篇 machine learning
452 篇 reliability
388 篇 monitoring
374 篇 neural networks
368 篇 wireless communi...
354 篇 convolutional ne...
326 篇 simulation
313 篇 testing

机构

364 篇 department of ph...
364 篇 dept. of astrono...
364 篇 dept. of physics...
361 篇 dept. of physics...
333 篇 iii. physikalisc...
243 篇 lawrence berkele...
242 篇 université libre...
240 篇 dept. of physics...
240 篇 institut für phy...
240 篇 dept. of physics...
240 篇 fakultät für phy...
239 篇 erlangen centre ...
239 篇 département de p...
239 篇 dept. of physics...
239 篇 niels bohr insti...
239 篇 dept. of physics...
238 篇 department of ph...
238 篇 dept. of physics...
238 篇 dienst elem brus...
238 篇 dept. of physics...

作者

361 篇 haungs a.
333 篇 fürst p.
283 篇 hoshina k.
277 篇 fan k.l.
244 篇 halve l.
238 篇 ahlers m.
237 篇 besson d.z.
237 篇 desiati p.
236 篇 botner o.
236 篇 aguilar j.a.
234 篇 ashida y.
233 篇 böttcher j.
233 篇 delaunay j.j.
233 篇 berley d.
233 篇 gerhardt l.
232 篇 bellenghi c.
232 篇 chirkin d.
232 篇 argüelles c.
231 篇 bourbeau e.
231 篇 günther c.

语言

60,019 篇 英文
1,612 篇 其他
1,478 篇 日文
1,002 篇 中文
505 篇 朝鲜文
17 篇 德文
4 篇 泰文
3 篇 阿拉伯文
3 篇 西班牙文
3 篇 法文
2 篇 荷兰文
2 篇 土耳其文
1 篇 捷克文
1 篇 芬兰文
1 篇 意大利文
1 篇 立陶宛文
1 篇 葡萄牙文
1 篇 斯洛文尼亚文
1 篇 瑞典文

检索条件"机构=Dept. of System Engineering of Engineering Technology"

共 64625 条记录，以下是181-190 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：

Mental State Report From Social Media Activity

Mental State Report From Social Media Activity

引用

2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication, IConSCEPT 2024

作者： Ajit, Akshay Mathew, Crispin Denny, David Johns Devananth, H. Dhanya, P.M. Rajagiri School of Engineering and Technology Dept. of Computer Science and Engineering Ernakulam India

ISBN: (纸本)9798331540685

This paper is about making user experience with social media better, by developing the complete analysis tool that would parse textual data from different platforms like Instagram, Facebook or Reddit. By developing a custom browser extension, the user-generated content is captured in real-time and can also be processed subsequently. The project comprises two key components: Emotion Detection and Hate Speech Detection. The Emotion Detection system uses sophisticated Natural Language Processing NLP techniques, such as BERT models to identify users' emotional state through their social media posts. This information is then used to develop a daily mental state report by which users are able to gain insights into their emotional health over time. Further, the Hate Speech Detection system leverages machine learning algorithms to detect and mark words that may be harmful or offensive in user- generated content. This feature enhances positive and inclusive Internet environment. The project goes beyond the analysis;it includes a pragmatic component suggesting specific tasks for users depending on their mental state reports. These recommendations are aimed at promoting positive interaction and enhancing the user's overall well-being. This project offers a comprehensive insight into users' emotional experiences on social media using state-of-the-art NLP and machine learning approaches. The combination of task recommendations and text summarization increases interaction among users, creating a pleasant atmosphere where people can enjoy using social media. The browser extension is a multipurpose tool that does not merely analyze but provides some improvements to the user's mental health and online activity. © 2024 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Effective Pest Detection by YOLOv5 with BottleneckCSP 2

Effective Pest Detection by YOLOv5 with BottleneckCSP

引用

2nd International Conference on Power, Electrical, Electronics and Industrial Applications, PEEIACON 2024

作者： Tani, Ishrat Zahan Jannat, Tasmia Rajshahi University of Engineering & Technology Dept. of Computer Science & Engineering Rajshahi Bangladesh

ISBN: (纸本)9798331517984

Pest damage poses a significant risk to crop quality and productivity, underscoring the necessity for accurate and efficient detection methods for farmers. Artificial intelligence (AI) facilitates targeted pest management with reduced reliance on broad-spectrum insecticides and enables early detection of insect infestations. Object detection, a computer vision approach, is revolutionizing pest identification in agriculture by locating pests in digital crop photographs. However, the detection of tiny objects within these datasets presents challenges due to sparse spatial information. In response to this challenge, we have replaced the C3 block of YOLOv5 with the BottleneckCSP module, which is more effective for feature mapping of tiny objects. Our enhanced model demonstrates superior performance on the IP102 dataset, which is characterized by the presence of tiny objects. Comparative analysis reveals that our BottleneckCSP-integrated model significantly improves feature mapping, resulting in a notable increase in mean average precision (mAP). Specifically, our modified model achieves an mAP of 63.9%, outperforming many state-of-the-art methods on this dataset. This advancement in the YOLOv5 architecture sets a new benchmark for AI-powered precision agriculture, providing farmers with a highly efficient tool for crop protection and pest management. The significant performance gains highlight the potential of our approach to transform current agricultural practices, paving the way for more sustainable and effective pest control strategies. © 2024 IEEE.

关键词： Damage detection

来源：评论

学校读者我要写书评

暂无评论

Emotion Recognition from Speech Audio Signals using CNN-BiLSTM Hybrid Model 3

Emotion Recognition from Speech Audio Signals using CNN-BiLS...

引用

3rd International Conference on Advancement in Electrical and Electronic engineering, ICAEEE 2024

作者： Islam, Auhona Foysal, Md Ahmed, Md. Imteaz Khulna University of Engineering & Technology Dept. of Electronics and Communication Engineering Khulna Bangladesh

ISBN: (纸本)9798350388282

Speech Emotion Recognition (SER) has recently grabbed huge attention due to its application in Human-Computer Interface, human-robot interaction, assessment of human behavior, virtual reality, and mostly noteworthy high AI-driven environments. It's not that easy to extract emotion from human physiological information. Previously, several attempts have been made by researchers to study SER for different purposes with various audio feature variations in several approaches such as SVM, MLP, CNN, LSTM, and many other approaches. Most of the approaches use audio databases RAVDESS, IMOCAP, EMO-DB, etc. In this paper, we have focused on improving the accuracy of emotion detection from speech most precisely. For this purpose, we've used three datasets RAVDESS, TESS, and CREMA-D, and merged these to form a large dataset. A hybrid model using CNN and BiLSTM deep learning network is proposed to recognize eight emotions happy, calm, sad, surprised, neutral, angry, disgust, and fear. The model is trained, validated, and tested using three features: Zero Crossing Rate (ZCR), Root Mean Square Energy (RMSE), and Mel Frequency Cepstral coefficient (MFCC) extracted from raw datasets. After extensive experiments, the proposed CNN-BiLSTM model achieved the highest accuracy of 97.8% using three merged datasets. © 2024 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

Enhancing Traffic Control Strategies through Dynamic Simulation and Reinforcement Learning 3

Enhancing Traffic Control Strategies through Dynamic Simulat...

引用

3rd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2024

作者： Sebastian, Alona Mary Athulram, K.R. Michael, Colin Sunil, Diya Anna Preetha, K.G. Rajagiri School of Engineering and Technology Dept. of Computer Science and Engineering Ernakulam India

ISBN: (纸本)9798350375190

In urban areas, traffic congestion is a major problem causing increased travel times, higher consumption of fuel, and environmental pollution. The traditional traffic control systems cannot adapt to dynamic traffic conditions, causing inefficient traffic flow and inefficient use of road infrastructure. In this paper, we propose a novel method to enhance traffic management strategies through dynamic simulation and reinforcement learning (RL). A simulation framework is presented that models the complex interactions among vehicles, traffic signals, and infrastructure in a realistic urban environment. Within this framework, RL agents are deployed to learn adaptive traffic control policies that minimize congestion and optimize traffic flow. This approach uses the ability of RL to continuously learn and adjust to shifting traffic circumstances, which results in improved efficiency and responsiveness compared to static or rule-based control systems. Finally, evaluate the effectiveness of the approach through extensive simulations and demonstrate its capability to significantly reduce congestion, decrease travel times, decrease average waiting time and enhance overall traffic management. By integrating dynamic simulation and RL-based control strategies, the proposed approach offers a guaranteed solution for addressing the challenges of urban traffic congestion and advancing the field of intelligent transportation systems. © 2024 IEEE.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Enhancing Traffic Flow and Reducing Congestion: A Smart City Approach with an IoT-based Intelligent Traffic Management system

Enhancing Traffic Flow and Reducing Congestion: A Smart City...

引用

2024 International Conference on Innovations in Science, engineering and technology, ICISET 2024

作者： Kabir, Md. Humayun Islam, Md. Saiful Chittagong University of Engineering and Technology Dept. of Electronics and Telecommunication Engineering Chittagong Bangladesh

ISBN: (纸本)9798350355499

With burgeoning populations and booming industries straining urban landscapes, traffic management has become a critical issue for cities worldwide. Traffic congestion is a significant challenge modern cities face, leading to wasted time, increased fuel consumption, and air pollution. This research investigates how Smart City technologies can revolutionize urban traffic management. We propose an Intelligent Traffic Management system (ITMS) utilizing the Internet of Things (IoT) to tackle traffic congestion, a significant hurdle for modern cities. The ITMS gathers real-time traffic data (vehicle count, speed, lane occupancy) through strategically positioned sensors at intersections. A central control system analyzes this data and dynamically adjusts traffic signals, allocating green time based on actual traffic flow. This approach aims to optimize traffic flow, significantly reduce congestion, and improve efficiency. The paper explores the potential benefits of the proposed system, including shorter travel times, improved air quality, and enhanced safety for pedestrians and vehicles. Finally, the proposed system indicates significant potential benefits, including reductions in waiting time 1 7. 3 7 %;congestion time 1 8. 4 3 %, leading to smoother traffic flow and improved phase departure time 2 9. 2 0 % or higher increase in throughput, signifying that more vehicles can pass through intersections within a given timeframe. © 2024 IEEE.

关键词： Air quality

来源：评论

学校读者我要写书评

暂无评论

Large size magic square generation using multi-stage evolutionary strategy

Large size magic square generation using multi-stage evoluti...

引用

2024 IEEE International Conference on Agents, ICA 2024

作者： Takemi, Kazuki Sakuma, Takuto Kato, Shohei Nagoya Institute of Technology Graduate School of Engineering Dept. of Engineering Nagoya Japan

ISBN: (纸本)9798331539917

In this study, we propose a multistage evolutionary strategy that hierarchically divides the constraints of a magic sum into three stages: rows, columns, and diagonals. Individuals satisfying the constraints of each stage, referred to as 'satisfying individuals for magic sum', are cascaded forward as initial solutions for the subsequent stage. Magic squares have been studied and developed by mathematicians and mathematical enthusiasts since ancient times. However, Most current approaches rely on rule-based systems, which, due to the complexity of combinatorial optimization involved, can only produce a restricted set of specific magic squares. In this study, we generated magic squares that cannot be created using rule-based methods. We added a lower layer that generates individuals satisfying only row constraints and split the semi-magic square into two layers, thereby eliminating the need to search in the row-wise direction and substantially reducing the number of search operations. Experiments were conducted to compare the proposed and existing methods in terms of runtime and number of generations, with the proposed method exhibiting substantial reductions in both measures. Specifically, our method generated 90x90 magic squares approximately 232 times faster than the existing methods, with successful generation occurring within 6 min and 57 s on average (based on 10 trials). The proposed method was also able to generate large 300x300 magic squares in real time. © 2024 IEEE.

关键词： Combinatorial optimization

来源：评论

学校读者我要写书评

暂无评论

Image Segmentation based Approach for Skin Disease Detection and Classification using Machine Learning Algorithms 2

Image Segmentation based Approach for Skin Disease Detection...

引用

2nd IEEE International Conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Sany, Nazmul Hasan Chandra Shill, Pintu Khulna University of Engineering & Technology Dept. of Computer Science and Engineering Khulna Bangladesh

ISBN: (纸本)9798350317558

Skin disorders are ubiquitous, stemming from causes including fungus, germs, allergies, and viruses. Although laser and photonics medical technologies have revolutionised rapid and precise diagnosis, their exorbitant prices restrict accessibility. To address this, this paper describes an image processing strategy for dermatological screening and procedure that comprises obtaining digital photographs of damaged skin patches and applying image processing to detect the disease type. Moreover, when conducted manually by medical specialists, identifying skin illnesses is time-intensive and subjective. As a consequence, both patients and physicians want automated skin disease prediction, which makes the treatment plan faster. This cost-effective approach depends on a basic setup: a camera and a computer. Operating on colour photos, a solution combines resizing for feature extraction using a pertained convolutional neural network, followed by classification using a multiclass SVM. The technology efficiently recognises four separate skin illnesses with an astonishing 90.8% accuracy, giving users complete findings spanning disease kind, extent, and severity. © 2024 IEEE.

关键词： Decision Tree Image Processing K-NN Machine Learning Skin Disorder SVM

来源：评论

学校读者我要写书评

暂无评论

Advancements in a Dual-Core PCF-SPR Sensor Incorporated with a Gold Coating for Biosensing Purpose 6

Advancements in a Dual-Core PCF-SPR Sensor Incorporated with...

引用

6th International Conference on Electrical engineering and Information and Communication technology, ICEEICT 2024

作者： Islam, Gazi Rabeya Tasnim, Sharaf Ahmed, Afridi Rajshahi University of Engineering and Technology Dept. of Electronics and Telecommunication Engineering Rajshahi Bangladesh

ISBN: (纸本)9798350385779

The progression and characterization of a Surface Plasmon Resonance (SPR) dual-core photonic crystal fiber (PCF) biosensor incorporated with a gold-coated system are explored in this research paper. SPR stands out as a validated sensing mechanism, offering authorized and label-free detection of biological substances. The sensitivity and precision of biomolecular interaction analysis experience a notable augmentation through the proposed biosensor, capitalizing on the distinctive attributes of PCF, such as its expansive surface area and modal confinement. The exterior of the PCF is utilized for immobilizing a substance called analyte along with a plasmonic activity material, rendering it suitable for operational applications. A plasmonic substance, gold (Au) is employed for a certain trait. The simulation outcomes exhibit an augmented dynamic perception, ranging from the refractive index (RI) of 1.35 to 1.4. Additionally, the biosensor's specificity towards different biomolecules is investigated. The sensor has been analyzed and assessed using the finite element method (FEM). After simulation and numerical analysis, the sensor attains a maximum wavelength sensitivity (WS) of 12000 nm/RIU and amplitude sensitivity (AS) of 491 RIU-1 with a resolution (R) of 8.33×10-6 © 2024 IEEE.

关键词： Finite element method

来源：评论

学校读者我要写书评

暂无评论

An Autoencoder-based Approach of Automatic Writer Identification from Biscriptual Characters 2

An Autoencoder-based Approach of Automatic Writer Identifica...

引用

2nd International Conference on Information and Communication technology, ICICT 2024

作者： Mim, Rifa Tabassum Chowdhury, S.A.H. Mugdho, Al Nahian Dept. of Electronics & Telecommunication Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh

ISBN: (纸本)9798331508227

In the last decade, automatic writer identification using a convolutional neural network (CNN) has been well studied. For further performance improvement of the writer identification task, a generative adversarial network-based approach is proposed in this paper to find out the corresponding writer of the given handwriting. This is done using an autoencoder model as the generator and a CNN-based classifier model as the discriminator. The autoencoder network generates synthetic images from the input real images which are then fed to the discriminator along with input real images. The synthetic images provide crucial features to the classifier network. Thus, the autoencoder is used as a feature extractor to aid the discriminator for classification. In this work, autoencoder and discriminator models are trained simultaneously on a self-captured dataset containing handwritten characters from two scripts: Bangla and English written by 24 writers three times. Writer identification accuracy of the proposed autoencoder-based approach is 94.24% with a relative improvement of 2.54% over the accuracy of 91.85% obtained using the same discriminator without the autoencoder. The proposed classifier also outperforms prior models where the accuracy of the second-best model is 90.07%. ©2024 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

A Fusion-Based Approach to Multiclass Retinal Disease Classification: Transfer Learning Strategy with CBAM Integration 2

A Fusion-Based Approach to Multiclass Retinal Disease Classi...

引用

2nd International Conference on Power, Electrical, Electronics and Industrial Applications, PEEIACON 2024

作者： Nath, Bijoy Deb Afroge, Shyla Rajshahi University of Engineering & Technology Dept. of Computer Science & Engineering Rajshahi Bangladesh

ISBN: (纸本)9798331517984

Eye diseases pose significant global public health challenges, often resulting to irreversible blindness if untreated. Early, precise diagnosis of these disorders is critical. In this paper, we address this crucial issue using transfer learning methods for the categorization of multiple eye disorders. The proposed architecture features a fusion-based technique that combines EfficientNetB0 and MobileNetV3Large convolutional neural networks (CNNs) for feature extraction and incorporates Convolutional Block Attention Module (CBAM), which dynamically focuses on significant regions of the images, enhancing the model's discriminative capability. Our proposed model achieves outstanding performance on two separate datasets: 97.85% accuracy on the Eye Disease Classification (EDC) dataset and 91.96% on the Ocular Disease Intelligent Recognition (ODIR) dataset, surpassing existing state-of-the-art approaches in ocular disease classification. By developing the proposed model, we intend to contribute to the creation of more effective diagnostic tools and eventually enhance patient outcomes in ophthalmology. © 2024 IEEE.

关键词： Ophthalmology

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 << < 15 16 17 18 19 20 21 22 23 24 > >>

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：