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

11,172 篇 会议
44 篇 期刊文献
17 册 图书

馆藏范围

11,233 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

7,129 篇 工学
- 4,798 篇 计算机科学与技术...
- 4,035 篇 软件工程
- 2,128 篇 信息与通信工程
- 2,098 篇 电气工程
- 2,058 篇 控制科学与工程
- 1,432 篇 电子科学与技术（可...
- 1,307 篇 动力工程及工程热...
- 1,076 篇 生物工程
- 795 篇 网络空间安全
- 686 篇 机械工程
- 671 篇 生物医学工程（可授...
- 656 篇 石油与天然气工程
- 608 篇 光学工程
- 601 篇 环境科学与工程（可...
- 530 篇 化学工程与技术
- 485 篇 仪器科学与技术
- 484 篇 安全科学与工程
- 461 篇 交通运输工程
4,106 篇 理学
- 2,158 篇 数学
- 1,131 篇 生物学
- 1,104 篇 物理学
- 658 篇 化学
- 608 篇 统计学（可授理学、...
- 335 篇 系统科学
1,840 篇 管理学
- 1,210 篇 管理科学与工程(可...
- 765 篇 图书情报与档案管...
- 581 篇 工商管理
606 篇 医学
- 519 篇 临床医学
- 508 篇 基础医学(可授医学...
- 358 篇 药学(可授医学、理...
283 篇 法学
267 篇 经济学
217 篇 农学
160 篇 教育学
65 篇 军事学
4 篇 文学

主题

214 篇 deep learning
136 篇 machine learning
135 篇 feature extracti...
131 篇 internet of thin...
113 篇 object detection
103 篇 computer vision
101 篇 blockchain
91 篇 convolutional ne...
80 篇 forecasting
78 篇 support vector m...
64 篇 convolution
58 篇 long short-term ...
58 篇 computational mo...
58 篇 artificial intel...
56 篇 students
55 篇 covid-19
54 篇 training
52 篇 face recognition
50 篇 genetic algorith...
45 篇 image enhancemen...

机构

186 篇 maharishi school...
161 篇 chitkara univers...
136 篇 centre of interd...
120 篇 uttaranchal inst...
83 篇 uttaranchal univ...
74 篇 lovely professio...
59 篇 school of comput...
56 篇 department of co...
55 篇 national univers...
48 篇 department of ar...
46 篇 department of co...
45 篇 department of el...
45 篇 school of automa...
42 篇 vishwakarma inst...
42 篇 computer science...
42 篇 nanjing universi...
41 篇 the islamic univ...
39 篇 department of in...
39 篇 department of co...
38 篇 chitkara univers...

作者

46 篇 chauhan rahul
37 篇 malik bader alaz...
22 篇 joshi kapil
22 篇 kukreja vinay
22 篇 dhabliya dharmes...
21 篇 kapil joshi
21 篇 dharmesh dhabliy...
20 篇 mohit tiwari
19 篇 singh bhim
19 篇 wang lei
19 篇 gill kanwarparta...
19 篇 rajesh singh
18 篇 rahul chauhan
17 篇 sharma neha
17 篇 gupta rupesh
15 篇 kumar amit
15 篇 anand vatsala
14 篇 rupesh gupta
14 篇 satvik vats
14 篇 singh jagendra

语言

10,755 篇 英文
478 篇 其他
19 篇 中文

检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

共 11233 条记录，以下是131-140 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：

Audio Situation Analysis by Multiple Signal Features on a Hybrid Parallel Neural Network 3rd

Audio Situation Analysis by Multiple Signal Features on a Hy...

引用

3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Kumar, Anup Pande, Sagar Dhanraj Khamparia, Aditya School of Computer Science Engineering VIT-AP University Andhra Pradesh Amaravati India Maharashtra Pune India Uttar Pradesh Lucknow India

ISBN: (纸本)9789819743582

The human voice is one of the best possible ways to communicate and help the other person to understand better. According to Albert Mehrabian body language, our verbal communication consists of 38% vocal and 7% word only communication. Though there are 55% other ways of communication we need a prominent feature that is easy to detect and at the same time very important. The scientific community has focused on text-to-audio conversion of audio content like songs, debates, news, and political arguments. This paper proposes a hybrid parallel CNN and Attention (transformer) based architecture to represent the given audio into valuable information and classify the given situation. The model gets trained parallelly for the CNN and Transformer and then the output of the feature tensor is combined and fed into a combined model network passing through dense layers finally classifying the audio. The datasets used for the implementation purpose are EMOVO and Corpus. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Attention Audio CNN Deep learning Hybrid MEL-Spectrogram MFCC Neural network NLP Parallel model Sentiment analysis Situation analysis Transformer

来源：评论

学校读者我要写书评

暂无评论

Morphcrypt: Morphing of Images and Encrypting Using PIX2PIX and KAA Map 3rd

Morphcrypt: Morphing of Images and Encrypting Using PIX2PIX ...

引用

3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Kodali, Praveen Abhi Vamsi Madhasu, Sai Jaya Nithya Pande, Sagar Dhanraj School of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati India Pune India

ISBN: (纸本)9789819743582

The recent events of facial data compromise from big companies like SenseTime and Megvii, and also from resilient guarded government bodies like Metropolitan Transportation Authority (MTA) of New York, from cyber invasions created by hackers raises an urgency to employ a novel method that can protect images in a public tech integration level. Thus, this paper employs a novel method that creates an additional layer of protection to image encryption. This method includes the Pix2Pix and KAA map to enchase the encryption of the image. The proposed model has achieved an astonishing result with a generator loss of 0.4098, and loss of discriminator of 0.4905, and a total loss of variation of 0.5648, later with finetuning of hyper-parameters the model has achieved loss of generator as 0.2135, loss of discriminator as 0.2034 and total loss of variation as 3.3569, demonstrating the model's ability to make a significant advancement in image protection. The goal of this technique is to create an image with the maximum level of encryption feasible. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Discriminators

来源：评论

学校读者我要写书评

暂无评论

Software Maintenance Prediction Using Stack Ensemble Deep Learning Algorithms 3rd

Software Maintenance Prediction Using Stack Ensemble Deep Le...

引用

3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Chirania, Shristi Tahreem, Hera Ayushi Agrawalla, Bikash Reddy, B. Ramachandra Department of Computer Science and Engineering NIT Jamshedpur Jamshedpur India

ISBN: (纸本)9789819743582

Software Maintenance is of utmost importance for any industry. So, to predict the value of software maintenance beforehand also becomes very important, hence many software maintenance prediction algorithms have been devised previously. Here we are also trying to calculate the software maintenance prediction values by taking current and previous datasets of the same software and comparing the lines of code in both of them. In this paper, performance of various machine learning algorithms and ensemble learning using deep neural networks has been compared. The machine learning algorithms used here are Decision Trees, Linear regression, Support Vector Machines, XGBoost, Catboost, and Random forest. The ensemble learning technique used is Stacking and each model of the ensemble model is of deep neural network. The models are evaluated with RMSE and MSE. By observing the error values of all the algorithms, the ensemble deep neural network gave the minimum error and outperformed all the other ML algorithms. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Comparative Analysis of Polycystic Ovary Syndrome Detection Using Deep Learning Algorithms 3rd

Comparative Analysis of Polycystic Ovary Syndrome Detection ...

引用

3rd international conference on Machine Vision and Augmented Intelligence, MAI 2023

作者： Neha Kumar, A. Ranjith Pande, Sagar Dhanraj School of Computer Science Engineering Lovely Professional University Punjab Phagwara India Pune India

ISBN: (纸本)9789819743582

People of reproductive age, primarily women, often experience the endocrine condition known as polycystic ovary syndrome (PCOS). This complex illness is characterized by various clinical symptoms, including irregular menstrual periods, hyperandrogenism, and polycystic ovarian morphology. PCOS is associated with a range of metabolic and cardiovascular issues that significantly impact the overall health and well-being of affected individuals. Early diagnosis and treatment are crucial to mitigate these risks and enhance the quality of life for PCOS patients. This article explores the classification of images using both Deep CNN and Deep CNN with SVM layer. The extensive dataset comprises 7,805 samples, divided into training (5,464 samples), testing (780 samples), and validation (1,562 samples) sets. These samples are categorized for the binary classification which gives out the result as Consists of PCOS and does not consist of PCOS, and the results are remarkable, showcasing the potential of this deep learning system for early PCOS identification, achieving an accuracy of 99.89% and a loss of 0.0101. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A Co-ordinated Energy Management Approach for Multi-carrier Energy Systems 3rd

A Co-ordinated Energy Management Approach for Multi-carrier...

引用

3rd international conference on Intelligent Computing Techniques for Smart Energy Systems, ICTSES 2023

作者： Garg, Ankit Niazi, K.R. Malaviya National Institute of Technology Jaipur India

ISBN: (纸本)9789819784639

A multi-carrier energy system connects numerous energy carriers and incorporates a variety of energy sources to increase the system’s adaptability. This study proposes a coordinated multi-carrier energy system in which a network of multiple energy systems share their reserves to lower their costs. Each energy hub includes a number of sources, which are electrical chiller, absorption chiller, CHP, boiler, and renewable sources. Additionally, in order to boost the adaptability of energy hubs, energy storage for electrical, cooling, and heating systems has been taken into account. The used approach discovers the best solution, in contrast to using Nash-equilibrium point techniques, which locate the equilibrium point but provide no assurance to the optimal solution. In order to distribute the coalition’s overall gain depending on the participation and effectiveness of the energy hubs, the Shapley value is used. Also, the formulated problem is regarded as a mixed integer linear programming, and the reduction in the cost of interconnected energy system in the cooperative operation shows that the suggested strategy is effective. The results reveal that implementing the fair revenue method improved hub1, hub2, and hub3 by 19.61%, 12.46%, and 9.73%, respectively. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Integer programming

来源：评论

学校读者我要写书评

暂无评论

ACC System Design and Simulation Verification of Intelligent Vehicle 3rd

ACC System Design and Simulation Verification of Intelligent...

引用

3rd international conference on Information Control, electrical engineering, and Rail Transit, ICEERT 2023

作者： Zhou, Yiyang Feng, Jialiang Liu, Yiqun School of Automotive Engineering Harbin Institute of Technology Weihai264209 China Yangtze River Delta HIT Robot Technology Research Institute Wuhu241007 China

ISBN: (纸本)9789819788903

The Adaptive Cruise Control system can assist the driver to adjust the size of the vehicle throttle opening and the pressure of the brake pedal to achieve the vehicle's following cruise. In this paper, the hierarchical control scheme is selected in the design of ACC system. The upper control system is based on the vehicle safety distance model built by the headway strategy to obtain the expected safety distance. Then, through the MPC algorithm, the discrete state space model of longitudinal following is established, and the system performance index and constraints are established. The problem is transformed into a constrained quadratic programming problem, and the expected acceleration of the vehicle is calculated. The lower control system constructs the vehicle longitudinal dynamics model, builds the engine reverse power model and the inverse model of the braking system, and determines the driving and braking conversion logic to realize the acceleration and deceleration of the vehicle. After that, using Carsim and MATLAB/Simulink for joint simulation verification, it can be concluded that the designed ACC system can realize the functions of following cruise. It can complete acceleration and deceleration to the target speed in a short time, and ensure that the acceleration is small to meet the comfort requirements, reduce traffic accidents, and improve vehicle driving safety and comfort. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adaptive cruise control

来源：评论

学校读者我要写书评

暂无评论

The Multi-class Paradigm: How Transformers Are Reshaping Language Analysis in NLP 3rd

The Multi-class Paradigm: How Transformers Are Reshaping La...

引用

3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Islam, Mohammad Shariful Rony, Mohammad Abu Tareq Saha, Pritom Ahammad, Mejbah Nazmul Alam, Shah Md. Bappi, Jabed Omor Siddiki, Marjuk Ahmed Noakhali3814 Bangladesh Noakhali3814 Bangladesh Computer Science and Engineering Daffodil International University Dhaka Bangladesh Computer Science and Engineering American International University Bangladesh Dhaka Bangladesh Masters of Computer Science University Arizona State University TempeAZ United States Electrical and Electronic Engineering Port City International University Chittagong Bangladesh

ISBN: (纸本)9789819739363

Language-based multilabel text classification is a crucial topic in natural language processing (NLP). However, unlike English, the development of natural language processing in Bengali is still in its infancy, and there is little research done specifically for the Bengali language, one of the most widely spoken languages in the world. As a consequence, it’s past time to address this issue for effective information management and data structure. This research presents a novel human-annotated Bangla sentence dataset. The dataset was categorized into five classes (assertive, interrogative, imperative, optative, or exclamatory) containing 10,000 sentences based on the function and purpose of Bangla grammar context. Fine-tuning applied six transformer-based pre-trained multilingual and monolingual BERT models to this multilabeled dataset. The study evaluated the effectiveness of various models, including BERT, AlBERT, RoBERTa, DistilBERT, XLNet, and BanglaBERT, in sentence classification tasks. The results showed that BanglaBERT outperformed all other models with an accuracy of 99.03%. The study concluded that BanglaBERT is superior in achieving exceptional accuracy and precision, surpassing the capabilities of other popular machine learning models such as LSTM, RNN, SVC, DT, KNN, and RF, as well as other BERT models of Bangla text classification. BERT-based models have great potential in understanding complex language nuances and context and are critical to advancing natural language processing tasks, especially in Bangla language processing. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Information management

来源：评论

学校读者我要写书评

暂无评论

Efficient Temporal Data Mining Technique Using Dynamic Time Warped LSTM for E-Commerce Recommendation Systems 3rd

Efficient Temporal Data Mining Technique Using Dynamic Time ...

引用

3rd international conference on Intelligent Systems and Sustainable Computing, ICISSC 2023

作者： Rajassekharan, Dinesh Subramanian, Jayasundar Lazar, Arokia Jesu Prabhu Pichuka Veera Venkata Satya, Srinivas Ray, Samrat Ammasai, Viswanathan Sengan, Sudhakar Faculty of AI Computing and Multimedia Lincoln University College Petaling Jaya47301 Malaysia Department of Computer Science and Engineering Idhaya Engineering College For Women Tamil Nadu Chinnasalem606201 India Department of Computer Science and Engineering CMR Institute of Technology Hyderabad501401 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vaddeswaram522502 India Dean Head of International Relations IIMS Pune411033 India School of Computer Science and Engineering Vellore Institute of Technology Tamil Nadu Vellore632014 India Department of Computer Science and Engineering PSN College of Engineering and Technology Tamil Nadu Tirunelveli627451 India

ISBN: (纸本)9789819783540

The rapid surge of the electronic commerce (Ecomm) industry has ushered in intensified competition, with platforms vying for customer attention and loyalty. Many Ecomm sites have been employing various tactics to stand out, with Recommendation Systems (RS at the forefront of their strategies. However, traditional RS faces challenges, mainly when interactions occur at irregular intervals. This article introduces the DTW + LSTM framework, a methodology combining the merits of Long Short-Term Memory Networks and Dynamic Time Warping to improve this work. This method requires consideration of DTW's time series data alignment capabilities to account for interaction interval variability. The LSTM is then designed to accurately record the key elements of user interactions in sequential order. Combining the outcomes of these two methodologies in the DTW + LSTM model presents a more flexible and extensive approach to generating online shopping recommendations. The design guarantees that forecasts continue to be reliable and accurate despite the inherent temporal deviations that can be observed in user data. This paper investigates the context of this approach, its benefits, and prospective developments, demonstrating its possibilities in the dynamic Ecomm market. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Accuracy CNN E-commerce F1-score GRU LSTM Machine learning

来源：评论

学校读者我要写书评

暂无评论

SOC Estimation for Lithium-Ion Batteries Based on a Class of Nonlinear Kalman Filter Algorithm 3rd

SOC Estimation for Lithium-Ion Batteries Based on a Class of...

引用

3rd international conference on Information Control, electrical engineering, and Rail Transit, ICEERT 2023

作者： Zhang, Zhi Bai, Shuhua He, Baiqing Zhang, Wenzhan Huang, Jinliang Wu, Lei College of Electrical and Mechanical Engineering Nanchang Institute of Technology Nanchang330044 China College of Electronics and Information Nanchang Institute of Technology Nanchang330044 China Key Laboratory of Jiangxi for Solar Photoelectric Materials Nanchang Institute of Technology Nanchang330044 China

ISBN: (纸本)9789819788903

State of charge (SOC) is the key to measuring the safety of batteries. SOC value represents the residual capacity of batteries, which cannot be directly determined by measuring instruments but needs to be calculated by parameters such as voltage, current, and temperature. However, there is nonlinear relationship between these measurable data and SOC. In this paper, the second-order equivalent circuit model is used as the battery operating characteristic description model, the Sage-Husa adaptive algorithm and square root filter is introduced based on the Unscented Kalman Filter (UKF) algorithm, namely a Square Root Adaptive Unscented Kalman Filter (SRAUKF) algorithm is proposed. The SRAUKF replaces the state error covariance matrix with the square root of the state error covariance matrix. The SRAUKF algorithm is formed to improve the precision of SOC estimation. In this paper, the UKF algorithm and the SRAUKF algorithm are respectively used to estimate the SOC value of lithium batteries. The SOC estimation and absolute error curves of the two algorithms are compared and analyzed under the given initial value and different noise variance. Experiments reveal that the SRAUKF algorithm displays better noise suppression ability, higher response speed, and greater estimation accuracy than the UKF algorithm. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Kalman filters

来源：评论

学校读者我要写书评

暂无评论

An Ensemble Machine Learning-Based Approach for Detecting Malicious Websites Using URL Features 3rd

An Ensemble Machine Learning-Based Approach for Detecting Ma...

引用

3rd international conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Uddin, Khandaker Mohammad Mohi Islam, Md. Ashraful Hasan, Md. Nahid Ahmad, Kawsar Haque, Mir Aminul Department of Computer Science andEngineering Southeast University Dhaka1208 Bangladesh Department of Computer Science and Engineering Dhaka International University Dhaka1205 Bangladesh Department of Computer Science and Engineering Jahangirnagar Univerisity Dhaka Bangladesh Department of Computer Science and Engineering Daffodil International University Dhaka1216 Bangladesh

ISBN: (纸本)9789819739363

The Internet has transformed into a hub for a wide array of illegal activities, ranging from annoying spam ads to financial scams, all thanks to advancements in modern technology. With the constant enhancements in network technology, data traffic on the Internet is ballooning in both volume and scope. Consequently, the complexity and prevalence of cyber threats and attacks are on the rise, with websites becoming the prime targets for hackers. These intruders, or hackers, embed harmful content into web pages with the intent of carrying out nefarious activities. They employ various tactics, such as hacking into computers or trying to harvest information through compromised or malicious websites. Some of these tactics involve injecting malicious software into web links. Therefore, it has become more critical than ever to identify and block such websites before the average user can stumble upon them. In this paper, we propose a method that utilizes machine learning techniques to detect fraudulent websites. We evaluate the prediction accuracy of different machine learning classification methods in this study. We trained our model using various algorithms, including Naive Bayes, Support Vector Machines (SVM), K-Nearest Neighbors (K-NN), Decision Trees, Random Forests, and AdaBoost. Ultimately, we employed an ensemble approach and achieved an outstanding accuracy rate of 99.98%, surpassing other methods in effectiveness. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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 << < 10 11 12 13 14 15 16 17 18 19 > >>

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：