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

6,672 篇 会议
329 册 图书
119 篇 期刊文献

馆藏范围

7,119 篇 电子文献
1 种 纸本馆藏

日期分布

学科分类号

4,756 篇 工学
- 3,944 篇 计算机科学与技术...
- 2,010 篇 软件工程
- 805 篇 电气工程
- 763 篇 信息与通信工程
- 587 篇 控制科学与工程
- 394 篇 生物工程
- 380 篇 生物医学工程（可授...
- 293 篇 光学工程
- 292 篇 机械工程
- 212 篇 仪器科学与技术
- 180 篇 电子科学与技术（可...
- 138 篇 化学工程与技术
- 127 篇 材料科学与工程（可...
- 118 篇 网络空间安全
- 107 篇 安全科学与工程
- 91 篇 动力工程及工程热...
1,614 篇 理学
- 803 篇 数学
- 487 篇 物理学
- 486 篇 生物学
- 272 篇 统计学（可授理学、...
- 189 篇 化学
- 141 篇 系统科学
834 篇 管理学
- 455 篇 管理科学与工程(可...
- 422 篇 图书情报与档案管...
- 173 篇 工商管理
678 篇 医学
- 603 篇 临床医学
- 254 篇 基础医学(可授医学...
- 145 篇 药学(可授医学、理...
- 100 篇 公共卫生与预防医...
121 篇 法学
- 114 篇 社会学
90 篇 教育学
56 篇 农学
51 篇 经济学
43 篇 艺术学
12 篇 文学
3 篇 军事学
1 篇 哲学

主题

927 篇 pattern recognit...
801 篇 artificial intel...
446 篇 machine learning
291 篇 feature extracti...
237 篇 deep learning
204 篇 accuracy
185 篇 support vector m...
134 篇 data mining
128 篇 training
126 篇 neural networks
126 篇 face recognition
103 篇 local binary pat...
103 篇 computer imaging...
102 篇 computer vision
88 篇 real-time system...
88 篇 image processing...
86 篇 convolutional ne...
85 篇 information syst...
83 篇 pattern matching
83 篇 computational mo...

机构

39 篇 chitkara univers...
33 篇 maharishi school...
27 篇 school of comput...
27 篇 indian stat inst...
25 篇 centre of interd...
25 篇 the islamic univ...
23 篇 department of ar...
23 篇 concordia univ c...
22 篇 national univers...
20 篇 school of comput...
19 篇 univ chinese aca...
18 篇 univ waterloo de...
17 篇 vishwakarma inst...
17 篇 school of comput...
16 篇 national laborat...
15 篇 school of artifi...
15 篇 institute of aut...
14 篇 lovely professio...
14 篇 uttaranchal inst...
14 篇 college of pharm...

作者

54 篇 suen ching y.
24 篇 suen cy
22 篇 kamel mohamed s.
18 篇 lu bao-liang
18 篇 karray fakhri
17 篇 de-shuang huang
17 篇 abraham ajith
14 篇 maji pradipta
13 篇 dash yajnaseni
12 篇 c.y. suen
10 篇 liu cheng-lin
10 篇 venkatesh svetha
10 篇 wong alexander
10 篇 chauhan rahul
10 篇 natarajan s.
10 篇 zheng wei-long
10 篇 liu wei
10 篇 vinay a.
9 篇 zhang lei
9 篇 gill kanwarparta...

语言

6,806 篇 英文
286 篇 其他
58 篇 中文
1 篇 土耳其文

检索条件"任意字段=3rd International Conference on Pattern Recognition and Machine Intelligence"

共 7120 条记录，以下是4871-4880 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：

Indonesian Question Answering System for Solving Arithmetic Word Problems on Intelligent Humanoid Robot 3

Indonesian Question Answering System for Solving Arithmetic ...

引用

3rd international conference on Computer Science and Computational intelligence, ICCSCI 2018

作者： Gunawan, Alexander A. S. Mulyono, Pribadi R. Budiharto, Widodo Mathematics Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta11480 Indonesia

This paper presents our research on Indonesian question answering system for solving arithmetic word problems using pattern matching approach on intelligent humanoid robot. The objective of this paper is to elaborate how natural language processing (NLP) and pattern matching approach works in question answering system for solving arithmetic word problems. Upon receiving a Indonesian arithmetic word problem, the robot will translate Indonesian speech to English text, resolve conjunction problem, co-references problem, question preprocessing, question analysis, represent the knowledge, and lastly the robot will answer the solution. We employed NLP for English by using Natural Language Toolkit (NLTK) in our research. Based on the experiment results, it can be concluded that: (i) the accuracy of the question answering system for each scheme ranges from 80% to 100% depend on the difficulty to comprehend the word problem, (ii) the response time is rather slow with average processing time is about 1.12 minutes. © 2018 The Authors. Published by Elsevier Ltd.

关键词： pattern matching

来源：评论

学校读者我要写书评

暂无评论

Face recognition Using Local Ternary pattern and Booth's Algorithm

Face Recognition Using Local Ternary Pattern and Booth's Alg...

引用

international conference on Eco-friendly Computing and Communication Systems (ICECCS)

作者： Abdullah Gubbi Mohammad Fazle Azeem Nishatbanu Z.H. Nayakwadi Dept of E & C P.A. College of Engnineering Mangalore Karnataka India EE Dept. AMU Aligarh India Dept of Computer science Muscat Sultanate of Oman

In the literature of face recognition many methods have been proposed which extract local texture features for robust pattern classification. But for final computation of the feature the information about central pixel is not taken into account. In this paper, we propose a novel method which utilizes Local Ternary pattern and Booth's Algorithm techniques to capture the local face features, which utilize central pixel for computation of the feature. Face images are spatially varied and classification works better with local descriptors, a Non-overlapping block wise processing is done on image to limit the features. The Support Vector machine (SVM) and KNN classifier with proposed similarity measure is used for face classification. Finally, ROC and CMC are plotted for analysis of the system. Experiments are conducted on ORL and faces94 datasets demonstrates that the proposed method has better classification accuracy than previously proposed methods.

关键词： Face recognition Databases Support vector machines Feature extraction Face Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

Expression-invariant 3D face recognition

引用

4th international conference on Audio and Video-Based Biometric Person Authentication, AVBPA 2003

作者： Bronstein, Alexander M. Bronstein, Michael M. Kimmel, Ron Technion – Israel Institute of Technology Department of Electrical Engineering Haifa32000 Israel Technion – Israel Institute of Technology Department of Computer Science Haifa32000 Israel

ISBN: (纸本)9783540403029

We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation of the facial surface, invariant to isometric deformations, such as those resulting from different expressions and postures of the face. The obtained geometric invariants allow mapping 2D facial texture images into special images that incorporate the 3D geometry of the face. These signature images are then decomposed into their principal components. The result is an efficient and accurate face recognition algorithm that is robust to facial expressions. We demonstrate the results of our method and compare it to existing 2D and 3D face recognition algorithms. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Face recognition

来源：评论

学校读者我要写书评

暂无评论

IMPROVED CLASSIFICATION OF CONSERVATION TILLAGE PRACTICES USING HYPERSPECTRAL IMAGERY WITH SPATIAL-SPECTRAL FEATURES 3

IMPROVED CLASSIFICATION OF CONSERVATION TILLAGE PRACTICES US...

引用

3rd international conference on Agro-Geoinformatics (Agro-Geoinformatics)

作者： Li, Wei Ran, Qiong Du, Qian Yang, Chenghai Beijing Univ Chem Technol Beijing 100029 Peoples R China Mississippi State Univ Starkville MS USA USDA Southern Plains Agr Res Ctr College Stn TX USA

ISBN: (纸本)9781479941575

Classification of conservation tillage practices from hyperspectral imagery is challenging due to spectral similarity between soils and senescent crop residues. In this paper, a novel classifier using both spectral and spatial information is proposed for hyperspectral image classification. Three steps are included: (1) a feature extraction method using a very simple local averaging filter to produce the joint spectral-spatial features;(2) an efficient local Fisher discriminant analysis projection for dimensionality reduction and class separability enhancement;and (3) the typical k-nearest neighbor classifier for final classification. Experimental results using real hyperspectral data demonstrate the benefits of the proposed approach, which can outperform other popular classifiers, such as support vector machine with composite kernel.

关键词： Conservation tillage hyperspectral data feature extraction pattern classification

来源：评论

学校读者我要写书评

暂无评论

Semantic Segmentation of Point Cloud Based on Graph Neural Network 3

Semantic Segmentation of Point Cloud Based on Graph Neural N...

引用

3rd international conference on Computer Vision and pattern Analysis, ICCPA 2023

作者： Duan, Shumin Computer Science and Artificial Intelligence Wuhan University of Technology Wuhan430070 China

ISBN: (纸本)9781510667563

As a key technology in the field of computer vision, point cloud semantic segmentation has been widely used in intelligent life and has become a hot spot and a difficult area of research in 3D vision. Current research on the semantic segmentation of 3D point clouds is mainly focused on the field of deep learning, however, there are two problems with such models: insufficient local feature representation and long model training period. To this end, we propose a point cloud semantic segmentation model based on geometric segmentation and graph neural network to improve the performance of semantic segmentation and model training efficiency. In our method, Firstly geometric segmentation is used for sparse and feature representation of the original point cloud. A directed graph is then constructed to partition the point cloud into "superpoints" and "superedges" with specific feature descriptors. followed by a spatial transformer network (STN) as the backbone of embedded network to encode local features from these superpoints. Finally, the graph neural network is employed for the classification of architectural components such as walls, ceilings, floors, and beams. Experiments were conducted on the Stanford University Large Scale 3D Indoor Spatial Dataset (S3DIS) dataset. Compared with the SPG network that also takes the entire large scene as input, the proposed algorithm improves the overall accuracy (OA), mean accuracy (mAcc), and per-class intersection over union (mIoU) by 1.0%, 2.9%, and 3. 0%. © 2023 SPIE.

关键词： Semantic Segmentation

来源：评论

学校读者我要写书评

暂无评论

SweetSight: A Deep Convolutional Neural Network Approach for Automatic Categorization of Bengal Sweets 3rd

SweetSight: A Deep Convolutional Neural Network Approach for...

引用

3rd international conference on Artificial intelligence and Knowledge Processing (AIKP)

作者： Supriya, Soummo Rimi, Iffat Firozy Islam, Md Moinul Rahman, Md Sadekur Nawshin, Samia Habib, Md Tarek Daffodil Int Univ Dept Comp Sci & Engn Dhaka Bangladesh Independent Univ Bangladesh Dept Comp Sci & Engn Dhaka Bangladesh

ISBN: (纸本)9783031686160;9783031686177

The manufacture of a wide variety of sweets is on the rise in the entire Bengal (both Bangladesh and West Bengal). As a consequence, the sweet's name escapes the vast majority of individuals in our country. Computer vision advancements have made object recognition from photos easier in recent years. Using computer vision to automatically categorize sweets is still a challenge because of the similarity between various sorts and characteristics such as their placement or lighting conditions. Classifying sweets may be useful in a variety of domains, including autonomous economic robots and the creation of mobile apps for identifying certain sweets on the market. In this article, we employed deep convolutional neural network (DCCN) methods to evaluate five alternative models for sweet detection. The endemic Bengali delicacies we used to train my model included Inception-v3, ResNet-50, VGG15, AlexNet, and CNN. This model was efficient. Our dataset comprised images of confections from thirteen distinct sweet categories. Two portions of the dataset were separated: 80% for training and 20% for testing. The training dataset was enhanced and increased to make preparation simpler. Using the Inception-v3 model, we were able to attain a 100% accuracy rate with our dataset.

关键词： Bengal Sweets Expert System DCNN Performance Classification Inception-v3 Precision

来源：评论

学校读者我要写书评

暂无评论

3rd international Workshop on Experimental and Efficient Algorithms, WEA 2004

引用

3rd international Workshop on Experimental and Efficient Algorithms, WEA 2004

ISBN: (纸本)3540220674

The proceedings contain 42 papers. The special focus in this conference is on Experimental and Efficient Algorithms. The topics include: A hybrid bin-packing heuristic to multiprocessor scheduling;efficient edge-swapping heuristics for finding minimum fundamental cycle bases;solving chance-constrained programs combining tabu search and simulation;an algorithm to identify clusters of solutions in multimodal optimisation;on an experimental algorithm for revenue management for cargo airlines;cooperation between branch and bound and evolutionary approaches to solve a bi-objective flow shop problem;simple max-cut for split-indifference graphs and graphs with few P4’s;a randomized heuristic for scene recognition by graph matching;an efficient implementation of a joint generation algorithm;lempel, even, and cederbaum planarity method;a greedy approximation algorithm for the uniform labeling problem analyzed by a primal-dual technique;distributed circle formation for anonymous oblivious robots;dynamic programming and column generation based approaches for two-dimensional guillotine cutting problems;engineering shortest path algorithms;how to tell a good neighborhood from a bad one;implementing approximation algorithms for the single-source unsplittable flow problem;fingered multidimensional search trees;faster deterministic and randomized algorithms on the homogeneous set sandwich problem;efficient implementation of the BSP/CGM parallel vertex cover FPT algorithm and combining speed-up techniques for shortest-path computations.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Data Mining and AI for Early Diagnosis and Treatment Optimization in Autoimmune Encephalitis 3

Data Mining and AI for Early Diagnosis and Treatment Optimiz...

引用

3rd IEEE international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Natrayan, L. Ali, H. Mohammed Kaliappan, S. Kumar, Gotte Ranjith Saveetha School of Engineering Simats Department of Mechanical Engineering TN Chennai India Srm Institute of Science and Technology- Ramapuram Campus Department Mechanical Engineering TN Chennai India Lovely Professional University Division of Research and Development Punjab India School of Computer Science & Artificial Intelligence Sr University Telangana Warangal India

ISBN: (纸本)9798350343274

To guarantee high-quality and trustworthy data, we first highlight the need of preprocessing. The dataset is prepared for analysis by using standard methods such as data cleansing, normalization, and feature engineering. The technique relies heavily on the feature selection process, which picks out the most informative aspects of a large collection of clinical, imaging, and laboratory data. ReliefF (Relief Feature Selection), Recursive Feature Elimination (RFE), and Principal Component Analysis (PCA) are three of the most popular feature selection techniques utilized here. These techniques make it easier to find unique characteristics in data, which in turn makes machine learning models more effective. A logistic regression model is used to predict the likelihood of autoimmune encephalitis based on certain characteristics to make an early diagnosis. In addition, linear programming is used to incorporate treatment optimization as an optimization issue. This guarantees that the suggested strategy maximizes therapy effectiveness within the bounds of possible side effects, available resources, and individual patient preferences. By adhering to a code of ethics, we preserve patient privacy and meet all applicable regulations. The suggested technique provides a holistic answer for autoimmune encephalitis evaluation and management. It greatly enhances diagnostic precision, therapeutic efficacy, and computational efficiency by merging data mining, AI, and mathematical modeling. These developments, together with our dedication to ethical compliance, make our method a very attractive and effective option for the diagnosis and individualized treatment of autoimmune encephalitis. © 2023 IEEE.

关键词： Diagnosis

来源：评论

学校读者我要写书评

暂无评论

AFHO-DL: Enhancing Energy Efficiency through Resource Allocation AI-enabled WSNs and IoT Integration 3

AFHO-DL: Enhancing Energy Efficiency through Resource Alloca...

引用

3rd international conference on Electrical, Electronics, Information and Communication Technologies, ICEEICT 2024

作者： Kalaiselvan, S.A. Manoranjini, J. Hemalatha, S. Kumar, M. Lenin Rajalakshmi Engineering College Department of Artificial Intelligence and Machine Learning Chennai India Vignan Institute of Technology and Sciences Department of Electronics Communication and Engineering Telangana India

ISBN: (纸本)9798350369083

In the realm of AI-enabled Wireless Sensor Networks (WSNs) and Internet of Things (IoT) integration, efficient resource allocation is paramount for enhancing energy efficiency and optimizing data utilization. The dynamic nature of environments poses challenges to achieving optimal performance measures, necessitating sophisticated solutions. To address this, we propose the AFHO-DL model, which combines the Fire Hawk Optimizer (FHO), UNet architecture, and Multi-objective Jaya algorithm. The FHO algorithm, inspired by the foraging behavior of Fire Hawks, efficiently optimizes resource allocation in WSNs by iteratively updating node positions based on objective functions. Leveraging FHO, we fine-tune the parameters of the UNet architecture, a deep learning model widely used in image processing applications. The UNet architecture, consisting of encoder and decoder paths, extracts features and reconstructs images, enhancing adaptability to various data types. Furthermore, the Multi-objective Jaya algorithm is employed to refine solutions by striking a balance between exploration and exploitation in the solution space, further improving resource allocation strategies. Our experimental results demonstrate the effectiveness of the proposed AFHO-DL model in enhancing energy efficiency and optimizing data utilization in dynamic environments. Through post-processing and visualization, we evaluate the performance of the optimization algorithms, generating Pareto-optimal solutions that represent the best trade-offs between competing goals. The AFHO-DL model facilitates intelligent decision-making and resource allocation strategy optimization, ensuring smooth data transfer and improving network efficiency in AI-enabled WSNs coupled with IoT platforms. © 2024 IEEE.

关键词： Deep learning

来源：评论

学校读者我要写书评

暂无评论

A robust immune based approach to the iterated prisoner’s dilemma

引用

3rd international conference on Artificial Immune Systems, ICARIS 2004

作者： Alonso, Oscar M. Nino, Fernando Velez, Marcos National University of Colombia Computer Science Department United States

ISBN: (纸本)3540230971

In this paper an artificial immune system approach is used to model an agent that plays the Iterated Prisoner’s Dilemma. The learning process during the game is accomplished in two phases: recognition of the opponent’s strategy and selection of the best response. Each phase is carried out using an immune network. Learning abilities of the agent are analyzed, as well as its secondary response and generalization capability. Experimental results show that the immune approach achieved on-line learning;the agent also exhibited robust behavior since it was able to adapt to different environments. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Artificial intelligence

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 << < 484 485 486 487 488 489 490 491 492 493 > >>

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：