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

6,860 篇 会议
72 篇 期刊文献
44 册 图书

馆藏范围

6,977 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,967 篇 工学
- 3,667 篇 计算机科学与技术...
- 2,767 篇 软件工程
- 1,207 篇 信息与通信工程
- 718 篇 控制科学与工程
- 518 篇 电气工程
- 475 篇 生物工程
- 338 篇 网络空间安全
- 314 篇 生物医学工程（可授...
- 274 篇 电子科学与技术（可...
- 262 篇 动力工程及工程热...
- 221 篇 交通运输工程
- 221 篇 安全科学与工程
- 216 篇 机械工程
- 211 篇 仪器科学与技术
- 179 篇 光学工程
- 170 篇 石油与天然气工程
- 167 篇 化学工程与技术
1,728 篇 理学
- 1,027 篇 数学
- 494 篇 生物学
- 372 篇 统计学（可授理学、...
- 309 篇 物理学
- 257 篇 化学
- 195 篇 系统科学
1,374 篇 管理学
- 782 篇 图书情报与档案管...
- 755 篇 管理科学与工程(可...
- 352 篇 工商管理
342 篇 医学
- 272 篇 临床医学
- 260 篇 基础医学(可授医学...
- 170 篇 公共卫生与预防医...
196 篇 法学
- 164 篇 社会学
130 篇 经济学
87 篇 农学
72 篇 教育学
19 篇 文学
8 篇 军事学
2 篇 艺术学

主题

311 篇 big data
297 篇 machine learning
213 篇 deep learning
211 篇 data mining
203 篇 data models
158 篇 cloud computing
139 篇 machine learning...
124 篇 training
120 篇 computational mo...
116 篇 feature extracti...
108 篇 signal processin...
103 篇 predictive model...
97 篇 internet of thin...
96 篇 signal processin...
94 篇 prediction algor...
89 篇 support vector m...
83 篇 data privacy
81 篇 artificial intel...
75 篇 sentiment analys...
72 篇 edge computing

机构

88 篇 maharishi school...
67 篇 centre of interd...
31 篇 department of ar...
28 篇 tianjin universi...
28 篇 college of compu...
27 篇 vishwakarma inst...
26 篇 department of co...
26 篇 department of el...
25 篇 chitkara univers...
25 篇 department of co...
22 篇 department of in...
20 篇 vivekananda glob...
19 篇 university of ch...
18 篇 vishwakarma inst...
17 篇 chitkara univers...
17 篇 lovely professio...
17 篇 department of sc...
16 篇 department of el...
15 篇 vishwakarma inst...
14 篇 key laboratory o...

作者

13 篇 ramakrishnan ram...
11 篇 dipannita mondal
10 篇 wang jing
10 篇 nitin n. sakhare
10 篇 mondal dipannita
10 篇 rajeswari d.
8 篇 kumar ritesh
8 篇 akhilendra prata...
8 篇 xu xiaolong
8 篇 li zuoyong
8 篇 jambi ratna raja...
7 篇 chen chen
7 篇 liu ying
7 篇 wang tao
7 篇 vaishali singh
7 篇 kodipalli ashwin...
7 篇 zhang jing
6 篇 zheng-guang wu
6 篇 bin wang
6 篇 ye jun

语言

3,941 篇 英文
3,029 篇 其他
156 篇 中文

检索条件"任意字段=2023 International Conference on Algorithms, Computing and Data Processing, ACDP 2023"

共 6977 条记录，以下是4571-4580 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：

2nd international conference on Emerging Trends in Expert Applications and Security, ICETEAS 2023

2nd International Conference on Emerging Trends in Expert Ap...

引用

2nd international conference on Emerging Trends in Expert Applications and Security, ICETEAS 2023

ISBN: (纸本)9789819919086

The proceedings contain 48 papers. The special focus in this conference is on Emerging Trends in Expert Applications and Security. The topics include: Securing Account Hijacking Security Threats in Cloud Environment Using Artificial Neural Networks;ioT-Based Smart Pill Box and Voice Alert System;early Identification of Plant Diseases by Image processing Using Integrated Development Environment;usability Attributes and Their Mapping in Various Phases of Software Development Life Cycle;controlling Devices from Anywhere Using IoT Including Voice Commands;ioT-Based Air Quality Monitoring System;modeling of Order Quantity Prediction using Soft computing Technique: A Fuzzy Logic Approach;development of Classification Framework Using Machine Learning and Pattern Recognition System;Human Part Semantic Segmentation Using Custom-CDGNet Network;current Web Development Technologies: A Comparative Review;effect on Compressive Strength of Portland Pozzolana Cement on Adding Admixtures Using Machine Learning Technique;tech Track for Visually Impaired People;intelligent Compression of data on Cloud Storage;diagnosis of Diabetic Retinopathy Using Deep Neural Network;multi-parameter Sensor-Based Automation Farming;comparing Ensemble Techniques for Bilingual Multiclass Classification of Online Reviews;detection of Disease in Liver Image Using Deep Learning Technique;how to Quantify Software Quality Factors for Mobile Applications?: Proposed Criteria;dysgraphia Detection Using Machine Learning-Based Techniques: A Survey;Designing AI for Investment Banking Risk Management a Review, Evaluation and Strategy;R-Peak-Based Arrhythmia Detection as an Impact of COVID-19;a Neutrosophic Cognitive Maps Approach for Pestle Analysis in Food Industry;assistive Agricultural Technology—Soil Health and Suitable Crop Prediction;smart Chatbot for Guidance About Children’s Legal Rights.

关键词：

来源：评论

学校读者我要写书评

暂无评论

13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

13th International Conference on Innovations in Bio-Inspired...

引用

13th international conference on Innovations in Bio-Inspired computing and Applications, IBICA 2022, and 12th World Congress on Information and Communication Technologies, WICT 2022

ISBN: (纸本)9783031274985

The proceedings contain 86 papers. The special focus in this conference is on Innovations in Bio-Inspired computing and Applications. The topics include: A Novel Approach to the Two-Dimensional Cargo Load Problem;vehicle Detection from Aerial Imagery Using Principal Component Analysis and Deep Learning;bio-inspired Heterogeneity in Swarm Robots;software Defect Prediction Using Cellular Automata as an Ensemble Strategy to Combine Classification Techniques;a Systematic Literature Review on Home Health Care Management;the Impact of the Size of the Partition in the Performance of Bat Algorithm;automatic Diagnosis Framework for Catheters and Tubes Semantic Segmentation and Placement Errors Detection;how Artificial Intelligence Can Revolutionize Software Testing Techniques;e-Assessment in Medical Education: From Paper to Platform;Evolution of Configuration data in CGP Format Using Parallel GA on Embryonic Fabric;DeepPRS: A Deep Learning Integrated Pattern Recognition Methodology for Secure data in Cloud Environment;Automated Depression Diagnosis in MDD (Major Depressive Disorder) Patients Using EEG Signal;an Effective Deep Learning Classification of Diabetes Based Eye Disease Grades: An Retinal Analysis Approach;extracting and Analyzing Terms with the Component ‘Green’ in the Bulgarian Language: A Big data Approach;Apartments Waste Disposal Location Evaluation Using TOPSIS and Fuzzy TOPSIS Methods;detection of Cracks in Building Facades Using Infrared Thermography;optimizing Pre-processing for Foetal Cardiac Ultra Sound Image Classification;a Review on Dimensionality Reduction for Machine Learning;detecting Depression on Social Platforms Using Machine Learning;impact of Green Hydrogen Production on Energy Pricing;Cross Synergetic Mobilenet-VGG16 for UML Multiclass Diagrams Classification;the Future in Fishfarms: An Ocean of Technologies to Explore;breast Cancer Identification Using Improved DarkNet53 Model;anomaly Detection Framework.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Crawling data with Social Network Analysis to Detect Accounts Spreading Phishing on Social Media Indonesia

Crawling Data with Social Network Analysis to Detect Account...

引用

Technology, Engineering, and computing Applications (ICTECA), international conference on

作者： Andri Tono Ermawan Teddy Mantoro Media Anugerah Ayu Haris Al Qodri Maarif School of Computer Science Nusa Putra University Sukabumi Indonesia Master of Science in Intelligence Nasional Intelligence Collage Bogor Indonesia Department of Computer Science Sampoerna University Jakarta Indonesia

This paper presents a methodology for detecting accounts involved in the dissemination of phishing attacks through social media platforms. The research methods used include crawling data from social media platforms, analyzing it using machine learning algorithms, and identifying accounts that could spread phishing attacks. The results obtained show that the proposed methodology is effective in detecting accounts involved in the dissemination of phishing attacks. The conclusions produced suggest that the proposed methodology could be used as a proactive strategy for identifying and mitigating phishing attacks on social media platforms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

OSMO: Enhanced Offloading for data Stream Perception with Smoothness and Orderliness

OSMO: Enhanced Offloading for Data Stream Perception with Sm...

引用

international conference on Parallel and Distributed Systems (ICPADS)

作者： Chaokun Zhang Quan Fan E Jinlong Shen He College of Intelligence and Computing Tianjin University Tianjin China China Xiongan Group Digital City Technology Co. Ltd. Xiong’an China University of California Riverside USA School of Information Renmin University of China Beijing China Engineering Research Center of Database and Business Intelligence MOE China

On-device AI is taking over our daily lives by moving closer to mobile devices as perception applications. A data stream perception application generally has three essential requirements: timeliness, smoothness, and orderliness. Most researchers’ efforts to date have proposed various offloading approaches to accelerate compute-intensive AI algorithms in perception applications, thereby fulfilling the requirement of timeliness. However, the lack of concern about the smoothness and orderliness of the data stream will result in fluctuation and commotion anomalies that greatly impair the user experience. In this paper, we propose an enhanced Offloading System with sMoothness and Orderliness (OSMO) to guarantee perception applications’ smooth refresh rates while processing data streams in proper orders with low overhead. OSMO takes advantage of heterogeneous computing devices and data-level parallelism in the offloading process. A scheduling strategy is further devised that dynamically tunes a set of parameters to achieve the best trade-offs among the three requirements of perception applications. We implement a prototype system based on TensorFlow and its typical Android demos. Real-world evaluations demonstrate that our solution can effectively address the fluctuation and commotion issues while providing a high data processing rate with multi-device collaboration.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Classification Methods for MOBA Games 17th

Classification Methods for MOBA Games

引用

17th international conference on Soft computing Models in Industrial and Environmental Applications, SOCO 2022

作者： Peña-Cubillos, Marco A. Villar-Ruiz, Alejandro Tallón-Ballesteros, Antonio J. Wu, Yaoyang Fong, Simon International University of Andalusia Huelva Spain Department of Electronic Computer Systems and Automation Engineering University of Huelva Huelva Spain Department of Computer and Information Science University of Macau Taipa China

ISBN: (纸本)9783031180491

The rise of the sports industry, which over time has increased in popularity along with machine learning and the possibilities for improving upon previously known and used methods, can serve many future predictions and benefits. This paper proposes a methodology to feature sorting in the context of supervised machine learning algorithms. A new perspective on machine learning by using it to predict outcomes with a database of the popular moba game Dota2, which consists of a large volume of data that was collected and analyzed. The reported results are concerned with three machine learning models with two significant metrics such as F-measure and Accuracy. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Based Federated Learning-Convolutional Neural Network for Preserving data Privacy and Security

Blockchain-Based Federated Learning-Convolutional Neural Net...

引用

Evolutionary algorithms and Soft computing Techniques (EASCT), international conference on

作者： Manoj Kumar D P Ananda Babu. J C. B. Selva Lakshmi Tabeen Fatima Rajesh N Department of Computer Science and Engineering Kalpataru Institute of Technology Tiptur India Department of Information Science and Engineering Malnad College of Engineering Hassan India Department of CSE Velammal College of Engineering and Technology India Department of Computer Science and Engineering CMR Technical Campus Hyderabad India Department of Electronics and Communication Engineering Nitte Meenakshi Institute of Technology Bengaluru India

The Internet of Things (IoT) and Industrial cloud computing have completely transferred the healthcare sector due to the rapid rise of distributed healthcare data. The security and privacy of healthcare data are critical issues facing in the healthcare sector. In this research, a BlockChain-based Federated Learning-Convolutional Neural Network (BC-FL-CNN) is proposed for preserving electronic health data privacy by integrating the BC and Deep Learning (DL) approach. CNN is used to classify normal and abnormal users in the processed dataset. The abnormal users were then processed and removed from the database as well as access to the health data utilizing BC with FL approach. Existing methods such as Convolution Neural Network-BlockChain-Cryptography-Federated Learning (CNN-BC-Cryp-FL), FL, and FL Risk-based Authorization Middleware for Healthcare (FRAMH) are used to compare with the proposed BC-FL-CNN approach. The proposed BC-FL-CNN achieves better accuracy of 98.25%, precision of 97.23%, recall of 97.56%, and 97.16% f1-score when compared to the existing approaches like CNN-BC-Cryp-FL, FL, and FRAMH respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

(POSTER) Towards data Dissemination Policy Prediction for Constrained Environments Using Analytics

(POSTER) Towards Data Dissemination Policy Prediction for Co...

引用

international conference on Distributed computing in Sensor Systems (DCOSS)

作者： Loic Guegan Issam Raïs Otto Anshus Department of Computer Science UiT The Arctic University of Norway Tromso Norway

In Cyber-Physical Systems (CPS) such as Wireless Sensors Networks (WSN), disseminating data is crucial. Under energy constraints with limited communications capabilities, performing data dissemination is challenging. In such contexts, common data dissemination methods cannot be used. Nodes must rely on device-to-device communications policies to mitigate the impact of communications on the nodes energy consumption. However, depending on nodes configuration (up-times duration, wireless technology capabilities and energy consumption), choosing a suitable communication policy is challenging. This work exposes the problem statement for using analytic algorithms to predict the most suitable device-to-device communication policy, for a given node configuration, to match a given coverage and energy consumption target in a constrained environment.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Scheduling Optimization of Flexible Workshop Dynamics Based on Big data

Scheduling Optimization of Flexible Workshop Dynamics Based ...

引用

international conference on Automation and computing (ICAC)

作者： Siyang Ji Jihong Yan School of Mechatronics Engineering Harbin Institute of Technology Heilongjiang China

Modern machining has the characteristics of “small batch, multiple machining types, and complex processes”. The production process generates a large amount and variety of data, and the production strategy is complex and variable. The generation of scheduling strategies needs to consider the actual production status of the workshop and the disturbances in the current status to ensure that the scheduling results meet the actual order requirements. This paper proposes a dynamic scheduling optimization strategy based on workshop big data. We design a big data-based scheduling optimization computing framework, which integrates big data resources such as workshop machine tool processing status, workpiece processing information, and order information to obtain relevant data affecting processing in real-time, and quickly respond to changes in workshop factors to ensure consistency between scheduling constraints and actual situations. In addition, we have improved the traditional genetic algorithm and the method of calculating the fitness value, solving the problem of deviation from the original scheduling plan caused by the disturbance of urgent order insertion, rework and repair, machine tool maintenance, and scheduling time. This improves the real-time and dynamic decision-making of machining scheduling. The proposed scheduling optimization strategy has been applied to a certain aviation engine machining workshop, reducing the overall machining time and improving machining efficiency compared to the original scheduling strategy of the workshop.

关键词：

来源：评论

学校读者我要写书评

暂无评论

TeraHeap: Reducing Memory Pressure in Managed Big data Frameworks 2023

TeraHeap: Reducing Memory Pressure in Managed Big Data Frame...

引用

28th ACM international conference on Architectural Support for Programming Languages and Operating Systems, ASPLOS 2023

作者： Kolokasis, Iacovos G. Evdorou, Giannos Akram, Shoaib Kozanitis, Christos Papagiannis, Anastasios Zakkak, Foivos S. Pratikakis, Polyvios Bilas, Angelos Department of Computer Science University of Crete Greece Greece Australian National University Australia Isovelent Inc. United States Red Hat Inc. United Kingdom

ISBN: (纸本)9781450399180

Big data analytics frameworks, such as Spark and Giraph, need to process and cache massive amounts of data that do not always fit on the managed heap. Therefore, frameworks temporarily move long-lived objects outside the managed heap (off-heap) on a fast storage device. However, this practice results in (1) high serialization/deserialization (S/D) cost and (2) high memory pressure when off-heap objects are moved back to the heap for processing. In this paper, we propose TeraHeap, a system that eliminates S/D overhead and expensive GC scans for a large portion of the objects in big data frameworks. TeraHeap relies on three concepts. (1) It eliminates S/D cost by extending the managed runtime (JVM) to use a second high-capacity heap (H2) over a fast storage device. (2) It offers a simple hint-based interface, allowing big data analytics frameworks to leverage knowledge about objects to populate H2. (3) It reduces GC cost by fencing the garbage collector from scanning H2 objects while maintaining the illusion of a single managed heap. We implement TeraHeap in OpenJDK and evaluate it with 15 widely used applications in two real-world big data frameworks, Spark and Giraph. Our evaluation shows that for the same DRAM size, TeraHeap improves performance by up to 73% and 28% compared to native Spark and Giraph, respectively. Also, it provides better performance by consuming up to 4.6× and 1.2× less DRAM capacity than native Spark and Giraph, respectively. Finally, it outperforms Panthera, a state-of-the-art garbage collector for hybrid memories, by up to 69%. © 2023 ACM.

关键词： data Analytics

来源：评论

学校读者我要写书评

暂无评论

Methods for Assessment of Gait Asymmetry Based on data from Depth Sensors

Methods for Assessment of Gait Asymmetry Based on Data from ...

引用

IEEE international Workshop on Intelligent data Acquisition and Advanced computing Systems: Technology and Applications

作者： Jakub Wagner Faculty of Electronics and Information Technology Warsaw University of Technology Institute of Radioelectronics and Multimedia Technology Warsaw Poland

Six quantitative indicators of asymmetry of human gait, whose values can be estimated by processing data acquired using depth sensors, are considered. Procedures for the estimation of these indicators have been developed and tested using measurement data representative of typical gait and two types of asymmetric pathological gait. The results of the completed experiments indicate that among the considered indicators, the one based on the quasi-correlation between the speed of the feet allows for best differentiating among the three considered types of gait.

关键词：

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 << < 454 455 456 457 458 459 460 461 462 463 > >>

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：